project management research methodology

• Contact sales

Start free trial

Top 10 Project Management Methodologies: An Overview

Table of Contents

• Waterfall Methodology
• Agile Methodology
• Scrum Methodology
• PMI / PMBOK
• Critical Path Method (CPM)
• Kanban Methodology
• Extreme Programming (XP)
• Lean Methodology

What Is a Project Management Methodology?

A project management methodology is a set of principles, tools and techniques that are used to plan, execute and manage projects. Project management methodologies help project managers lead team members and manage work while facilitating team collaboration.

There are many different project management methodologies, and they all have pros and cons. Some of them work better in particular industries or projects , so you’ll need to learn about project management methodologies to decide which one works best for you.

We’ll go through some of the most popular project management methodologies, which are applied in many sectors such as software development, R&D and product development.

Top 10 Project Management Methodologies

If you manage projects, you need to learn about project management methodologies. Here’s a quick overview of the most commonly used project management methods that you can use.

1. Waterfall Methodology

This may be the most straightforward and linear of all the project management methods in this list, as well as the most traditional approach. The name is apt, as the waterfall methodology is a process in which the phases of the project flow downward. The waterfall model requires that you move from one project phase to another only once that phase has been successfully completed.

When to use it: The waterfall approach is great for manufacturing and construction projects , which are highly structured, and when it’s too expensive to pivot or change anything after the fact. The waterfall method makes use of Gantt charts for planning and scheduling.

Get your free

Gantt Chart Template

Use this free Gantt Chart Template for Excel to manage your projects better.

2. Agile Methodology

What it is: In a nutshell, Agile project management is an evolving and collaborative way to self-organize across teams. When implementing the agile methodology , project planning and work management are adaptive, evolutionary in development, seeking early delivery and are always open to change if that leads to process improvement. It’s fast and flexible, unlike waterfall project management.

The agile methodology offers project teams a very dynamic way to work and collaborate and that’s why it is a very popular project management methodology for product and software development. That’s because what we think of as agile really appeared in 2001 with the publication of the “Manifesto for Agile Software Development,” authored by 17 software developers.

When to use it: The practice originated in software development and works well in that culture. How do you know if agile is for you? It has been applied to non-software products that seek to drive forward with innovation and have a level of uncertainty, such as computers, motor vehicles, medical devices, food, clothing, music and more. It’s also being used in other types of projects that need a more responsive and fast-paced production schedule , such as marketing.

3. Scrum Methodology

What it is: Scrum is a short “sprint” approach to managing projects. The scrum methodology is It’s ideal for teams of no more than 10 people and often is wedded to two-week cycles with short daily meetings, known as daily scrum meetings . It’s led by what is called a scrum master . Scrum works within an agile project management framework, though there have been attempts to scale Scrum to fit larger organizations.

The term scrum was introduced in a “Harvard Business Review” article from 1986 by Hirotaka Takeuchi and Ikujiro Nonaka. It became a part of agile when Ken Schwaber and Mike Beedle wrote the book “Agile Software Development with Scrum” in 2001. Schwaber formed the Scrum Alliance in 2002, a certified scrum accreditation series. Schwaber left the Scrum Alliance in 2009 to start a parallel accreditation organization called Scrum.org.

When to use it: Like agile, the scrum methodology has been used predominantly in software development, but proponents note it is applicable across any industry or business, including retail logistics, event planning or any project that requires some flexibility. It does require strict scrum roles , however.

4. Project Management Body of Knowledge (PMBOK)

What it is: This is the granddaddy of methodologies if it’s a methodology at all. The Project Management Institute (PMI) is a not-for-profit membership association, project management certification and standards organization.

This organization produces a book called the “Project Management Body of Knowledge” or PMBOK. The PMBOK provides definitions and guidelines for project planning, scheduling, executing and controlling. For example, the project management process groups describe the project life cycle, while the 10 project management knowledge areas explain how to manage a project.

When to use it: Almost any project can benefit from PMBOK, as all projects big and small are going to go through the various stages of the project life cycle outlined in the book. It’s a great way to keep everyone on the same page, so to speak, and offers a clear definition of how a project is managed.

The Project Management Institute it’s also the organization that grants various project management certifications such as the project management professional (PMP) certification, which is the gold standard among project managers and is recognized all over the world. PMBOK is a great traditional framework to run a project.

5. Critical Path Method (CPM)

What it is: In the critical path method (CPM), you build a model of the project, including all the activities listed in a work breakdown structure , the duration of those tasks, what if any task dependencies there are and marking off milestones to indicated larger phases of the project or points in which your project deliverables are due.

With this information, you can identify the longest sequence of tasks to finish the project, which is called the critical path. You’ll need to keep an eye on those tasks because if one of them is delayed, the whole project will be delayed.

The critical path method was developed in the late 1950s by Morgan R. Walker of DuPont and James E. Kelley, Jr., of Remington Rand. DuPont was already using a precursor of CPM as early as the 1940s, and it was applied to the Manhattan Project.

When to use it: CPM works better with smaller or mid-sized projects. The larger the project, the more difficult it can be to take all the data you need to diagram and make sense of it without project management software .

6. Critical Chain Project Management (CCPM)

What it is: In , you’re focusing on resources that you’ll be using to complete the project, such as teams, equipment, office space, etc. It’s a less technical method of project management that doesn’t put as much emphasis on task order or schedule , but rather on balancing resources and keeping them flexible.

First introduced in 1997, in the book “Critical Path” by Eliyahu M. Goldratt, it has been credited with making projects anywhere from 10-50% faster and/or cheaper.

When to use it: CCPM can be applied to both large and small companies, and for projects that include industries such as construction, software development and tech research and development.

7. Kanban Methodology

What it is: The kanban methodology is a visual approach to project management. The name is literally billboard in Japanese. It helps manage workflow by placing tasks on a kanban board where workflow and progress are clear to all team members. The kanban methodology helps reduce inefficiencies and is a great project management tool for many purposes such as lean manufacturing or agile projects.

Kanban project management has been around since the late 1940s when it was studied by Toyota used the rate of demand to control the rate of production of its vehicles. The car company applied it to its lean manufacturing model, known as the Toyota production system.

With the dawn of visual planning boards in software in our era, like Trello, there are now new uses for kanban tools and kanban methods. Agile teams use kanban boards for story-boarding user stories and for backlog planning in software development.

When to use it: Another process developed initially for manufacturing and for software teams, the kanban method has since expanded and has been used in human resources, marketing, organizational strategy, executive process and accounts receivable and payable. Almost anyone can plan with Kanban boards, adding cards to represent project phases, task deadlines, people, ideas and more. Kanban software makes this methodology especially accessible.

8. Extreme Programming (XP)

What it is: It sounds like some dangerous sport the kids are into, but in fact, XP is a type of agile software development with short development cycles and multiple releases to improve productivity. Customer requirements are sought and can adapt to the course of the project.

Created by Kent Beck while working on the Chrysler Comprehensive Compensation System payroll project, he literally wrote the book (“Extreme Programming Explained”) in 1999. But many of its practices have been around for a while.

When to use it: When requirements change frequently, then you’ll want to use a methodology such as XP. It’s good when your customer doesn’t have a clear idea of what they want.

9. Lean Methodology

What it is: Lean project management is what you’d think it is from its name: a way to cut waste and in so doing increase value in projects and manufacturing processes. So, lean focuses on eliminating waste from key processes to continuously be impacting positively on the value stream. It does this by optimizing separate technologies, assets and verticals.

Lean project management goes back to Henry Ford and his flow production for automating the process of building cars. Toyota picked up on the idea, as well, extending their idea beyond manufacturing to the continuous improvement of the product development process.

Today, software development teams run lean processes to focus on end-user feedback and increased value, which means Lean methodology has taken on a new meaning, particularly with the publishing of Lean Startup, by Eric Ries, who advocates for rapid prototyping, end-user feedback and early and rapid product delivery.

When to use it: Lean project management was first developed by Toyota and is obviously a great methodology for manufacturing. In fact, it’s also referred to as lean manufacturing , but it has been adopted by construction and education industries, among others in the manufacturing space and countless startups and software development firms looking to drive products focused on the end-user.

10. Six Sigma

What it is: Introduced by engineers working at Motorola in the mid-1980s, Six Sigma works to improve quality by identifying what is not working in the project. It applies quality management, including empirical statistics, and employs personnel who are experts in these disciplines. There is also a Lean Six Sigma that adds lean methodology to eliminate waste.

As a doctrine, it says that continued efforts to achieve results that are stable and expected are most important to success. Processes can be refined and improved. It takes the whole organization, from the top down, to sustain quality in a project.

When to use it: This methodology works best in larger organizations. Even companies with a few hundred employees are likely too small to take advantage of its benefits. It requires a certification to practice. Learn about six sigma certification here.

11. PRINCE2

What it is: PRINCE2 stands for Projects IN Controlled Environments and is a structured certified methodology. It was initially created by the UK government for IT projects. PRINCE2 is not like other traditional methods like waterfall, in that it’s not a one-size-fits-all solution, but follows seven principles, themes and procedures.

When the UK government adopted standards for IT systems in 1989, they called in PRINCE. PRINCE2 came about in 1996 as a more general project management method. It is now a popular project management methodology throughout all UK governmental agencies and the United Nations.

When to use it: Adopted by many other countries’ governments, PRINCE2, so, as you can imagine, it’s not always suitable for smaller projects.

ProjectManager Works with Any Project Management Methodology

There are almost as many methods to manage as there are projects. But they all share one thing in common: getting deliverables done on time and within budget. No matter which project management methodology you choose ProjectManager is the one software you’ll need to do it.

Tools for Waterfall Project Management

Waterfall is structured. One thing follows the next and it’s all planned out. No problem. ProjectManager has an online Gantt chart . Import your task list to start a new project. Add due dates and the tasks populate a timeline. Link-dependent tasks to avoid bottlenecks. Set milestones to separate the project into phases. You control the project step by step.

Tools for Agile Project Management

Gantt charts aren’t going to help as much as other project tools if you’re working in an agile framework. That’s true, but ProjectManager is flexible enough to serve scrum teams with multiple project views.

Use the kanban view to map out your sprint. Product backlogs are collected on cards, which can be prioritized for scrum teams to know which user story to work on first. Then the sprint can be archived, so when doing a sprint retrospective, teams can learn from their mistakes and improve the process.

Multiple Views for Diverse Teams

What if your organization is larger, with different divisions, some that work with an agile project management framework and others with a more traditional waterfall methodology? What’s great about ProjectManager is that it can switch from one view to the other, giving IT teams a kanban board view for their scrum sprints and managers a Gantt chart for a bigger project planning overview.

The real-time dashboard and reporting features gather the same data and crunch the same numbers, so whatever project management method you use is tracking the same results.

Yes, ProjectManager is an award-winning project management software for a reason. It’s flexible enough to work in an agile environment, traditional waterfall methodology or a hybrid of the two. You decide, not the software, which means ProjectManager is the one tool to bring in your project, however, you manage it, successfully.

Related Content

• Project Integration Management
• Waterfall Project Management Software
• Agile Project Management Software
• Critical Path Software

There are more project management methodologies, but these are some of the most popular. Regardless of which you use, you need a project management tool to best manage all your processes and projects. ProjectManager is an online PM tool, so whatever methodology is right for you our software will help you apply it to a successful end. Try it free for 30 days and see for yourself.

Deliver your projects on time and on budget

Start planning your projects.

• Project Management Metrics
• Project Portfolio Management
• Proof of Concept Templates
• Punch List Templates
• Requirement Gathering Process
• Requirements Traceability Matrix
• Resource Scheduling
• Roles and Responsibilities Template
• Stakeholder Engagement Model
• Stakeholder Identification
• Stakeholder Mapping
• Team Alignment Map
• Team Charter
• Templates for Managers
• What is Project Baseline
• Work Log Templates
• Workback Schedule
• Workload Management
• Work Breakdown Structures
• Agile Team Structure
• Avoding Scope Creep
• Cross-Functional Flowcharts
• Precision VS Accuracy
• Scrum-Spike
• User Story Guide
• Creating Project Charters
• Guide to Team Communication
• How to Prioritize Tasks
• Mastering RAID Logs
• Overcoming Analysis Paralysis
• Understanding RACI Model
• Critical Success Factors
• Deadline Management
• Eisenhower Matrix Guide
• Guide to Multi Project Management
• Procure-to-Pay Best Practices
• Procurement Management Plan Template to Boost Project Success
• Project Execution and Change Management
• Project Plan and Schedule Templates
• Resource Planning Templates for Smooth Project Execution
• Risk Management and Quality Management Plan Templates
• Risk Management in Software Engineering
• Stage Gate Process
• Stakeholder Management Planning
• Understanding the S-Curve
• Visualizing Your To-Do List
• 30-60-90 Day Plan
• Work Plan Template
• Weekly Planner Template
• Task Analysis Examples
• Cross-Functional Flowcharts for Planning
• Inventory Management Tecniques
• Inventory Templates
• Six Sigma DMAIC Method
• Visual Process Improvement
• Value Stream Mapping
• Creating a Workflow
• Fibonacci Scale Template
• Supply Chain Diagram
• Kaizen Method
• Procurement Process Flow Chart
• Guide to State Diagrams
• UML Activity Diagrams
• Class Diagrams & their Relationships
• Visualize flowcharts for software
• Wire-Frame Benefits
• Applications of UML
• Selecting UML Diagrams
• Create Sequence Diagrams Online
• Activity Diagram Tool
• Archimate Tool
• Class Diagram Tool
• Graphic Organizers
• Social Work Assessment Tools
• Using KWL Charts to Boost Learning
• Editable Timeline Templates
• Kinship Diagram Guide
• Power of Visual Documentation
• Graphic Organizers for Teachers & Students
• Visual Documentation Techniques
• Visual Tool for Visual Documentation
• Conducting a Thematic Analysis
• Visualizing a Dichotomous Key
• 5 W's Chart
• Circular Flow Diagram Maker
• Cladogram Maker
• Comic Strip Maker
• Course Design Template
• AI Buyer Persona
• AI Data Visualization
• AI Diagrams
• AI Project Management
• AI SWOT Analysis
• Best AI Templates
• Brainstorming AI
• Pros & Cons of AI
• AI for Business Strategy
• Using AI for Business Plan
• AI for HR Teams
• BPMN Symbols
• BPMN vs UML
• Business Process Analysis
• Business Process Modeling
• Capacity Planning Guide
• Case Management Process
• How to Avoid Bottlenecks in Processes
• Innovation Management Process
• Project vs Process
• Solve Customer Problems
• Spaghetti Diagram
• Startup Templates
• Streamline Purchase Order Process
• What is BPMN
• Approval Process
• Employee Exit Process
• Iterative Process
• Process Documentation
• Process Improvement Ideas
• Risk Assessment Process
• Tiger Teams
• Work Instruction Templates
• Workflow Vs. Process
• Process Mapping
• Business Process Reengineering
• Meddic Sales Process
• SIPOC Diagram
• What is Business Process Management
• Process Mapping Software
• Business Analysis Tool
• Business Capability Map
• Decision Making Tools and Techniques
• Operating Model Canvas
• Mobile App Planning
• Product Development Guide
• Product Roadmap
• Timeline Diagrams
• Visualize User Flow
• Sequence Diagrams
• Flowchart Maker
• Online Class Diagram Tool
• Organizational Chart Maker
• Mind Map Maker
• Retro Software
• Agile Project Charter
• Critical Path Software
• Brainstorming Guide
• Brainstorming Tools
• Visual Tools for Brainstorming
• Brainstorming Content Ideas
• Brainstorming in Business
• Brainstorming Questions
• Brainstorming Rules
• Brainstorming Techniques
• Brainstorming Workshop
• Design Thinking and Brainstorming
• Divergent vs Convergent Thinking
• Group Brainstorming Strategies
• Group Creativity
• How to Make Virtual Brainstorming Fun and Effective
• Ideation Techniques
• Improving Brainstorming
• Marketing Brainstorming
• Rapid Brainstorming
• Reverse Brainstorming Challenges
• Reverse vs. Traditional Brainstorming
• What Comes After Brainstorming
• Flowchart Guide
• Spider Diagram Guide
• 5 Whys Template
• Assumption Grid Template
• Brainstorming Templates
• Brainwriting Template
• Innovation Techniques
• 50 Business Diagrams
• Business Model Canvas
• Change Control Process
• Change Management Process
• Macro Environmental Analysis
• NOISE Analysis
• Profit & Loss Templates
• Scenario Planning
• What are Tree Diagrams
• Winning Brand Strategy
• Work Management Systems
• Balanced Scorecard
• Developing Action Plans
• Guide to setting OKRS
• How to Write a Memo
• Improve Productivity & Efficiency
• Mastering Task Analysis
• Mastering Task Batching
• Monthly Budget Templates
• Program Planning
• Top Down Vs. Bottom Up
• Weekly Schedule Templates
• Kaizen Principles
• Opportunity Mapping
• Strategic-Goals
• Strategy Mapping
• T Chart Guide
• Business Continuity Plan
• Developing Your MVP
• Incident Management
• Needs Assessment Process
• Product Development From Ideation to Launch
• Value-Proposition-Canvas
• Visualizing Competitive Landscape
• Communication Plan
• Graphic Organizer Creator
• Fault Tree Software
• Bowman's Strategy Clock Template
• Decision Matrix Template
• Communities of Practice
• Goal Setting for 2024
• Meeting Templates
• Meetings Participation
• Microsoft Teams Brainstorming
• Retrospective Guide
• Skip Level Meetings
• Visual Documentation Guide
• Weekly Meetings
• Affinity Diagrams
• Business Plan Presentation
• Post-Mortem Meetings
• Team Building Activities
• WBS Templates
• Online Whiteboard Tool
• Communications Plan Template
• Idea Board Online
• Meeting Minutes Template
• Genograms in Social Work Practice
• Conceptual Framework
• How to Conduct a Genogram Interview
• How to Make a Genogram
• Genogram Questions
• Genograms in Client Counseling
• Understanding Ecomaps
• Visual Research Data Analysis Methods
• House of Quality Template
• Customer Problem Statement Template
• Competitive Analysis Template
• Creating Operations Manual
• Knowledge Base
• Folder Structure Diagram
• Online Checklist Maker
• Lean Canvas Template
• Instructional Design Examples
• Genogram Maker
• Work From Home Guide
• Strategic Planning
• Employee Engagement Action Plan
• Huddle Board
• One-on-One Meeting Template
• Story Map Graphic Organizers
• Introduction to Your Workspace
• Managing Workspaces and Folders
• Adding Text
• Collaborative Content Management
• Creating and Editing Tables
• Adding Notes
• Introduction to Diagramming
• Using Shapes
• Using Freehand Tool
• Adding Images to the Canvas
• Accessing the Contextual Toolbar
• Using Connectors
• Working with Tables
• Working with Templates
• Working with Frames
• Using Notes
• Access Controls
• Exporting a Workspace
• Real-Time Collaboration
• Notifications
• Meet Creately VIZ
• Unleashing the Power of Collaborative Brainstorming
• Uncovering the potential of Retros for all teams
• Collaborative Apps in Microsoft Teams
• Hiring a Great Fit for Your Team
• Project Management Made Easy
• Cross-Corporate Information Radiators
• Creately 4.0 - Product Walkthrough
• What's New

Project Management Methodologies and Frameworks Every Project Manager Should Know

You might find yourself drowning in information, tools, and processes as a project manager. To stay afloat and thrive, you must choose the right project management methodologies and frameworks that suit your team and project needs.

Many different project management methodologies are available and deciding which one is right for you can be challenging. This article provides an overview of the most popular frameworks to get you started.

What is a Project Management Methodology?

A project management methodology is a set of principles, processes, guidelines, and tools that help to plan, manage, and control a project. The methodology helps to ensure that a project is on schedule, within budget, and that the project goals are met.

A project team or an organization uses a management framework to execute a project. The information generated is usually documented and shared with others. Recording the information is essential as it will help others understand the project requirements and responsibilities.

While most project management methodologies take a standardized approach, some are for specific purposes, i.e., manufacturing or software development.

Project Management Framework vs. Methodology

The terms framework and methodology are often used interchangeably in project management. However, there is a slight yet distinguishable difference between the two approaches.

A framework provides more flexibility and freedom. You can adopt new rules and change or remove existing ones as necessary. As such, a framework provides the structure and direction needed for a project without being too rigid or detailed.

On the other hand, a methodology is a set of principles and processes that guides the management of a project. It is a formal approach that is strictly defined and generally adheres to a strict code complete with steps and rules.

Another way to understand the two approaches is that most of the time, methodologies are for implementing ideas and values, while a framework provides a step-by-step guide to attain that idea or manage that project.

Project Life Cycle Processes

A project management framework includes the whole project management life cycle, which will guide you from the beginning to the end. In a project management life cycle , there are five steps:

• Initiation : The beginning stage of the project, where the main focus is to narrow down the required key components to kickstart the project. Teams get together to research, brainstorm and conduct analysis and stakeholder mapping/interviews to gather information.
• Planning : Here, the teams and members working on the project are identified along with activities, milestones, risks, management structure, and success benchmarks.
• Execution : During this stage, the project kickstarts and is implemented.
• Management/Monitoring : At each milestone, the progress will be monitored, documented, and reported. Key progress and outputs will be shared with stakeholders as well.
• Review/Closing : This stage marks the end of the project. Project leaders and team members will review and analyze how the project progressed and setbacks to identify future improvements. Updates or replacements will be scheduled if necessary before wrapping up.

5 Key Project Management Methodologies and Frameworks

1. waterfall framework.

The Waterfall Framework is a linear approach that first gathers stakeholder and customer requirements before creating a sequential project plan to address the identified requirements. Consisting of five main stages, each stage is completed before progressing to the next–similar to a cascading waterfall.

The main stages of the waterfall framework are:

• Requirements : needs and requirements of the business/project are identified, analyzed, and documented.
• Design : possible solutions are explored before a detailed plan is made to achieve the goals.
• Implementation : the project plan and activities are set in motion along with progress measurements.
• Verification/Control : the product is reviewed, and the project plan is compared with the performance to address issues.
• Maintenance/Closure : the end result is shared with clients for feedback and final fixes. Approval is obtained before the project is closed.
• As project and client requirements are identified and agreed in the very first stage, it sets clear client expectations that are easier to plan.
• Extensive documentation ensures that each activity and task is well documented and that no knowledge is lost.
• The project schedule is laid out at the beginning stages. As such, project costs, deadlines, and other resources can be estimated accurately.
• Easier to measure and understand as you progress through each milestone one after the other.

Disadvantages

• Identifying all client/customer requirements at the very beginning is difficult.
• Changes to the product at the end stages are costly and difficult if the customer is unsatisfied.
• Lack of flexibility due to the linear nature of the framework, which provides minimal room for change and adaptation in case of unexpected events.

2. Lean Methodology

Lean methodology originated in the 1950s in Toyota and currently focuses on eliminating waste, maximizing value, and improving efficiencies. Many organizations have opted to adopt the Lean Framework as it can be applied to any business, regardless of size, to achieve objectives in a sustainable manner.

The two main guiding concepts in Lean are respect for people and continuous improvement. Accordingly, necessary training and tools are provided, constant improvement is encouraged, and management takes on a more active role in understanding and meeting the needs of employees to initiate better work performance.

Besides the above two concepts, lean has five core principles that support the methodology:

• Value : customer defines the value of the product offered.
• Value stream : a clear and in-depth understanding of the product’s life cycle from research to development. Each step of the value chain is analyzed to identify waste areas and improvements.
• Flow : every process should be in sync with one another, and the value stream should flow seamlessly.
• Pull : ensures that products are made only when required, leading to shorter delivery cycles and increased flexibility.
• Perfection : always strive for perfection by uncovering quality or waste issues and applying strict measures to address inefficiencies.
• The quality of products is high due to the constant attention to value.
• Reduced costs and increased profits as Lean focuses on providing value and minimizing waste.
• Improved customer relations as the focus is to deliver what the customer requires.
• Regular communications among employees, stakeholders and management pave the way for better decision-making.
• Emphasis on constant improvement leads to continuous learning opportunities.
• Organizations may focus too much on Lean principles that they lose sight of the bigger picture leading to a lack of strategy.
• If there are bottlenecks or resource issues, delivery can be delayed leading to unsatisfied customers.

3. Agile Methodology

Agile is often used in the software industry, though it has spilled into others recently due to its adaptability. It is an iterative approach that promotes collaboration among team members, emphasizing adaptive planning and early delivery of functional products. In an Agile project, development work is carried out in short-term periods called sprints, and the management focuses on continuous improvement throughout the project’s life cycle.

• Ready to use
• Fully customizable template
• Get Started in seconds

Popular frameowkrs such as Scrum and Kanban stem from Agile, which acts as an umbrella term that encompasses several different frameworks. To learn more about Scrum and Kanban, check out The Ultimate Beginner’s Guide to Scrum and How to Better Manage Your Projects with Kanban Boards .

The Agile Manifesto highlights four core principles that are the building blocks of any agile approach. They are:

• Individuals and interactions over processes and tools
• Working software over comprehensive documentation
• Customer collaboration over contract negotiation
• Responding to change over following a plan
• Agile promotes smaller teams, making it easier to keep up the pace and quickly adapt to necessary changes, leading to faster response times and ample flexibility.
• Faster turnaround times due to the ability to quickly detect and provide solutions to issues.
• Low wastage and costs as tasks are always up-to-date with constant feedback and follow-ups, allowing developers to experiment and test ideas.
• Agile is practiced by many and has a considerable following. Therefore, you can always reach out for help and share knowledge with others if you run into trouble.
• Difficult to measure the progress as it is estimated across several cycles, which may take time.
• Documentation is not given prominence, leading to misunderstandings and difficulty for newer members to be up-to-date.
• At times, there is no clear end date; therefore, the overall project may seem to go on forever. This can also lead to scope changes beyond what was initially agreed (scope creep).
• Due to the short cycle times, the design thinking process may be stinted, leading to a lack of cohesion and fragmentation.
• Teams may tend to avoid key features that may take too long to deliver.
• The need for constant communication can take a toll on team members who have to spend extra energy and time.

4. Critical Chain Project Management Framework

Critical Chain Project Management (CCPM) is a project management framework that helps the planning and managing of projects by monitoring the resources required to execute the project tasks. The framework helps project managers to deliver projects in a cost-effective and timely manner.

Buffers are safety margins that ensure all tasks are completed within schedule. CCPM identifies strategic points in the project and inserts buffers to ensure that project milestones are met on time, regardless of constraints or uncertainties. There are several types of buffers used in CCPM.

• Project buffers : this is positioned between the completion date of the project and the last task allowing team members to catch up on any outstanding tasks or delays.
• Feeding buffers : this is positioned between the non-critical chain and the critical chain to prevent delays.
• Resource buffers : resources that are kept aside in case of extra support in terms of resources are required.
• Team members tend to be more efficient and pace themselves rather than working more as the deadline approaches.
• Work is scheduled around resource availability, thereby optimizing resource utilization.
• The insertion of various buffers to address issues on time.
• The minimum time required to finish the project is taken into consideration.
• Major planning packages do not often support the framework.
• If the team does not understand the endpoint, many losses and setbacks could occur.

5. PRINCE2 Framework

PRINCE stands for “PRojects IN Controlled Environments” and is a process-based framework focused on organization and control. The framework started as PRINCE with a particular focus on the IT industry before expanding into others.

PRINCE2 details what each step of the project should look like, deliverables, roles, and responsibilities, and also structure each stage of the project with no loose ends at the point of completion.

• PRINCE2 is a good beginner framework to start project management as it has a defined process with clear steps.
• Due to the detailed and step-by-step guide provided, PRINCE2 is relatively easy to understand and follow. Furthermore, the ability to divide the project into manageable stages is helpful in managing the project.
• PRINCE2 is flexible in nature and can be easily adapted to suit different projects.
• Roles and responsibilities are clearly defined, which improves accountability.
• Lessons learned can be tracked and updated for future reference and improvements.
• PRINCE2 is not ideal for projects in fast-changing environments (i.e., technology-driven) due to the extensive documentation required.
• Requires the buy-in of the senior management for success.
• Requires experience to be managed and delivered successfully.

Key Steps to Follow when Selecting a Methodology or Framework

1. assess the project in terms of size and scope.

Size and scope play a significant role when selecting a suitable project methodology or framework. Some projects may be small, requiring a team of no more than 3-4 people and a short period. In contrast, others would be large, with multiple teams working together for several years.

Larger projects with several cross-functional teams and extended time frames would benefit from adaptive project management frameworks such as agile. In comparison, smaller projects that are less complex would do well with methodologies such as waterfall.

2. Look into the available project management methodologies and frameworks

Once the project scope and size are determined, look into the available methodologies and frameworks. Compare notes, and weigh the pros and cons as to which one would suit your requirements the best while minimizing risks.

3. Obtaining the acceptance and buy-in of your team

Reach out to your team to see their reaction and input. Make sure you listen to their viewpoints and present your side accordingly to obtain their buy-in. Otherwise, conflicts and challenges may hinder the project’s smooth progress.

4. Confirm the selection

Before starting the project, re-confirm the feasibility of your selection by comparing and assessing the success rate of projects delivered using the same framework.

5. Obtain feedback and conduct self-assessments

As the project progresses, ask for feedback from your colleagues regarding the processes followed. Furthermore, make sure to conduct self-assessments to see if the methodology or framework is proceeding according to your expectations and whether it allows you to manage your team successfully.

Tools and Techniques for Project Management Methodologies and Frameworks

There are several tools and techniques relevant to project management methodologies and frameworks. While some specific tools and techniques are similar across multiple frameworks, there are some that may differ. Below are a few commonly used tools and techniques.

Work Breakdown Structure (WBS)

Work breakdown structures can be used to break down the larger deliverables of your project into manageable smaller tasks. This is a productivity technique that uses a step-by-step approach to project management.

Gantt Chart

Gantt charts are ideal for tracking tasks' start and end dates and milestones. It helps teams to plan their work and jobs to meet deadlines and allocate resources accordingly.

SWOT Analysis

SWOT stands for Strengths, Weaknesses, Opportunities, and Threats. For each project, the SWOT identifies the internal (Strengths and Weaknesses) and external (Opportunities and Threats) drivers affecting your ability to meet the goal. For example, suppose your organization is well known for its expertise in customer service. In that case, improving customer service will be a competitive advantage and a meaningful driver for meeting your goals.

RACI Matrix

RACI stands for responsible, accountable, consulted, and informed. RACI matrix is used to describe the roles and responsibilities of team members in a project.

Stakeholder Map

The stakeholder map is a tool to help you understand who your stakeholders are and their needs. Using this tool, you can map stakeholders according to their importance and potential impact on the project.

Decision Tree

A decision tree is used for effective decision-making and predicting potential outcomes when multiple courses of action exist. It allows the team to explore options and outcomes to understand the risks and rewards associated with each possible course of action.

Creately for Project Management

Creately has many tools to make your journey effortless and successful regardless of the type of project methodology or framework you decide to follow.

• Powerful documentation capabilities include doc blocks and attachments and image attachments to create reports and presentations.
• Built-in project management tools including Kanban boards, timelines, multi-role workflows, visual prioritization tools to enable any kind of workflow.
• Whiteboard and freehand drawing capabilities to brainstorm and discuss with colleagues and peers.
• Multiple templates and shapes to prepare project plans and schedules, Gantt charts, roadmaps, and other formats necessary for project management documentation and tracking.
• Multiple access and role levels to manage, share, edit and review, along with multiplayer editing capabilities to collaborate in real-time.
• Comment on anything, with context. Full comment threads and discussions for async collaboration.
• Data, note, and task panels to house information, assign roles and responsibilities, feed in information, and track the progress of activities.
• Integration with other platforms with 2-way syncing to manage data efficiently.
• Spotlight and presentation mode to conduct interactive and dynamic presentations right on the canvas.

Start your project management journey with Creately today!

Join over thousands of organizations that use Creately to brainstorm, plan, analyze, and execute their projects successfully.

More Related Articles

Amanda Athuraliya is the communication specialist/content writer at Creately, online diagramming and collaboration tool. She is an avid reader, a budding writer and a passionate researcher who loves to write about all kinds of topics.

• Jira Service Management
• Atlassian Guard
• Company News
• Continuous Delivery
• Inside Atlassian
• IT Service Management
• Work Management
• Project Management

6 popular project management methodologies and what they’re best suited for

You’re a project manager who has just been tasked with managing two very different, yet intertwined projects. It’s up to you to choose the best project management methodology for each project.

One project is with your development team. They need to overhaul your organization’s website to improve the clunky and somewhat confusing user experience—from the moment that a customer lands on the site to after they make a purchase. The development team is super flexible and open to breaking up into smaller teams in order to tackle specific aspects of the website overhaul faster.

The catch with this project? It’s on a time crunch.

The website has to be overhauled before the launch of your second and longer-term project: a large-scale marketing campaign around a new line of products that are launching next quarter.

First of all, you can do this! Breath in, breath out, read on, choose the best project management methodology for each task, and get to work doing what you do best!

How To Choose The Best Project Management Methodology

No two projects are alike.

Some may remind you of a past project (that you absolutely nailed, by the way!) but there’s always a catch, isn’t there? One project may have unlimited budgets, endless resources, and flexible timelines—a walk in the park for you—, while another may have high stakeholder expectations, limited budget, tight timelines, multiple teams, and dozens of dependencies.

Since every project is so different, there are many project management methodologies to choose from that support the various project and team needs. There are so many methodologies, in fact, that new ones may have emerged while you’re reading this!

What Is A Project Management Methodology?

Glad you asked. Methodologies are the systems (or simply, methods) used to do something.

The Project Management Institute defined it as “a system of practices, techniques, procedures, and rules used by those who work in a discipline.”

Choosing the right methodology , as well as project management tools and teams, will set you up for success before your project kicks off. For example, you wouldn’t pick a fast-paced, quick iteration project management methodology for a long-term, large-scale, inflexible, and stakeholder-heavy project. Pair like projects with like systems.

To do that, let’s look at your project factors or considerations, such as constraints and dependents.

What Project Factors Are You Working With?

As mentioned earlier, there are many considerations at play that make each project unique. Some factors to consider what you’re evaluating your project management methodologies include:

• Project budget: How much money is going to be spent on this project? How is it divided up?
• Timeline: When is your project due by?
• Goals: What are the project’s end goals and deliverables? Start there and work backward.
• Values: How do your organizational goals and values apply to this project? Knowing this will help set expectations (and help you hold team members accountable for their commitments ).
• Complexity and Scale: How complex or simple is this project?
• Flexibility: How flexible or rigid is this project and its end goals, timelines, deliverables, and team or stakeholder expectations?
• Project type and industry: Some methodologies work best for certain industries and project types, such as highly creative projects or product development sprints.
• Team: Consider the team size, diversity, flexibility, experience, and individual expertise or strengths and weaknesses, as well as their ability to collaborate and communicate when choosing a methodology.

6 Popular Project Management Methodologies And What They’re Best Suited For

It’s important to learn the similarities and differences of various methodologies available to you. For example, some project management methodologies work best if the end goal is fixed and clear, such as the Waterfall method, whereas others better suit those projects that aren’t, such as Agile and Scrum. Keep your project factors in mind while you read on—and then choose the best method for your team.

Let’s get to the methodologies.

1. Agile: Flexible, Fast, And Short Collaborative Sprint Projects

More than a methodology, agile is a set of principles that would be ideal to follow for your first (hypothetical) project.

Agile is made up of fundamental values that are ideal for small teams to work in short and fast project cycles or sprints without blockers. Blockers include too much documentation, work in progress, meetings, or processes to slow them down. The working team would need to be protected from these blockers so that they can stay focused on the tasks at hand.

Teams who work well together can collaborate on small tasks and adapt and respond to an ever-changing task list. Because agile is an iterative design and build process, teams must be flexible with the outcomes and the path they take to get there.

2. Scrum: Quick And Continuous Development Projects

If agile is a set of principles that teams follow to work quickly and respond adaptively to changes as they arise, then Scrum is a project management methodology and the most popular and simple framework that puts agile principles to use.

Scrum is an ideal methodology for your project with the development team to overhaul the website. It’s ideal for continuous improvement and rolling task lists. Something like improving the customer journey on a website may have a timeline, but will always have room for improvement—especially as customer expectations and the digital space change so quickly.

The goal of Scrum is to develop, build, deliver, and sustain complex products using small collaborative and highly accountable teams and iterative task lists. There are roles, events, and artifacts. Roles include a product owner, development team, and scrum master, while events include sprints, daily scrums, or standup meetings, and artifacts include product and sprint backlogs.

3. Kanban: Visualize Task Progress For Agile Teams

Like Scrum, Kanban is another product management methodology that follows agile principles. Kanban is ideal for projects that are done by small, flexible, and collaborative teams, like Scrum, but there is a highly visual aspect as well.

Tasks are visually displayed in-person on sticky notes or in software such as Trello using columns as they progress. This is called a Kanban board. Tasks move from a backlog through the board’s columns that represent various stages of the process from the backlog, start to finish.

Having a visual representation of backlogged work, work in progress, and completed tasks is a great project management tool for most projects.

This would also be helpful for your second project, in particular, to keep track of tasks’ status as they move throughout the creative process. For example, designing a webpage for the new line of products will have various steps and creative team members involved. Visually seeing how the project is progressing will help you and the team to see how it’s coming along and where blockers are.

4. Lean: Projects That Do More With Less

For those organizations that are looking to transform how they do business, the lean methodology may be one to consider. Lean aims to maximize customer value and minimize waste. This is a great way to put out quality work while increasing efficiencies that minimize unnecessary spending, resources, teams output, or time.

Lean was created in the Japanese manufacturing industry to improve quality control and remove redundancies that may increase the price or value for customers down the line.

Known as the three M’s, Lean methodology defines three types of project waste: muda, mura, and muri.

• Muda is about getting rid of the waste or anything that doesn’t add value.
• Mura streamlines processes, so if one aspect of the project takes too long, for instance, then something further down the task list will have to be completed faster.
• Muri is about removing blockers, such as too many stakeholder meetings.

5. Waterfall: Large-Scale, End-Goal Focused, And Fixed Projects

Tried, tested, and true, the Waterfall methodology has been around since the 1970s. Like a waterfall that cascades downhill, this method is sequential with ordered tasks following one after another as they are completed.

The Waterfall method requires a very solid understanding of the end goal and the necessary steps to get there. As such, it doesn’t leave much room for errors or flexibility. This is great for projects that you’ve done in the past where there is minimal need to adapt on the fly.

This could be something to consider for your large-scale marketing project if you’ve launched new product lines many times in the past and don’t expect any surprises.

With this method, collect and analyze any and all project requirements and deadlines. This requires a lot of up-front work and planning. Then design your approach to meet every stage and their deadline in sequence before reviewing it and putting it into action.

6. Hybrid: Flexible And Fast-Paced Projects With Structured Plans

If agile aims to move fast, adapt quickly, and be flexible, Waterfall is its polar opposite, with fixed deadlines, clear deliverables, and mapped-out categorized project plans.

Hybrid is a methodology that blends the two. Think of it as the best of both worlds. You get the structure and organization of planning milestones out and the flexibility and speed of agile workflows.

It takes the flexible and fast pace of agile principles and blends them with the structured goals and mapped out plans of Waterfall. Take a look at your project requirements, task list, deadlines, and goals. The hybrid methodology uses those as your guidelines, but when it comes to getting the work done, teams should work with some flexibility on rapid iterations.

May The Best Methodology Help You Deliver On Your Projects

There are many more methodologies to name and discuss—and picking the right one for your project can be tricky! In the end, however, it’s all about picking a system that works for you, your project, and your team.

Project management methodologies were created to help you deliver the best possible outcomes based on your project’s circumstances. Take your time to find what works best, try them out, and do a debrief with your team on what worked and what didn’t. If it wasn’t the right methodology for one project, it may be ideal for another—and now you’re armed with that much more knowledge and expertise.

Happy project planning!

Advice, stories, and expertise about work life today.

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

• View all journals
• Explore content
• About the journal
• Publish with us
• Sign up for alerts
• CAREER COLUMN
• 10 April 2019

How agile project management can work for your research

• Laura Pirro 0

Laura Pirro is a PhD student in chemical engineering at the Laboratory for Chemical Technology at Ghent University, Belgium.

You can also search for this author in PubMed   Google Scholar

If you’ve ever written a research proposal, the chances are that you will have planned the work as a list of sequential activities, often visualized in a Gantt chart.

Access options

Access Nature and 54 other Nature Portfolio journals

Get Nature+, our best-value online-access subscription

24,99 € / 30 days

cancel any time

Subscribe to this journal

Receive 51 print issues and online access

185,98 € per year

only 3,65 € per issue

Rent or buy this article

Prices vary by article type

Prices may be subject to local taxes which are calculated during checkout

doi: https://doi.org/10.1038/d41586-019-01184-9

This is an article from the Nature Careers Community, a place for Nature readers to share their professional experiences and advice. Guest posts are encouraged. You can get in touch with the editor at [email protected].

Sutherland, J. Scrum: The Art of Doing Twice the Work in Half the Time (Random House Business, 2015).

Google Scholar  

Stark, E. Agile Project Management: Quick Start Guide (ClydeBank Media, 2014).

Download references

Related Articles

How to run a creative and diverse PhD programme

• Research management

How to set up your new lab space

Career Column 20 MAY 24

US halts funding to controversial virus-hunting group: what researchers think

News 16 MAY 24

Japan can embrace open science — but flexible approaches are key

Correspondence 07 MAY 24

How religious scientists balance work and faith

Career Feature 20 MAY 24

I’m worried I’ve been contacted by a predatory publisher — how do I find out?

Career Feature 15 MAY 24

Reading between the lines: application essays predict university success

Research Highlight 17 MAY 24

How to stop students cramming for exams? Send them to sea

News & Views 30 APR 24

How young people benefit from Swiss apprenticeships

Spotlight 17 APR 24

Senior Postdoctoral Research Fellow

Senior Postdoctoral Research Fellow required to lead exciting projects in Cancer Cell Cycle Biology and Cancer Epigenetics.

Melbourne University, Melbourne (AU)

University of Melbourne & Peter MacCallum Cancer Centre

Overseas Talent, Embarking on a New Journey Together at Tianjin University

We cordially invite outstanding young individuals from overseas to apply for the Excellent Young Scientists Fund Program (Overseas).

Tianjin, China

Tianjin University (TJU)

Chair Professor Positions in the School of Pharmaceutical Science and Technology

SPST seeks top Faculty scholars in Pharmaceutical Sciences.

Chair Professor Positions in the School of Precision Instruments and Optoelectronic Engineering

We are committed to accomplishing the mission of achieving a world-top-class engineering school.

Chair Professor Positions in the School of Mechanical Engineering

Aims to cultivate top talents, train a top-ranking faculty team, construct first-class disciplines and foster a favorable academic environment.

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Quick links

• Explore articles by subject
• Guide to authors
• Editorial policies

Limited time offer

Total with VAT: {{CartWithDetails.cartMaster.total_after_vat}} {{currency}}

Your cart is empty.

12 Project Management Methodologies: Types, Tools, Techniques, And How to Choose

Written By : Bakkah

27 Feb 2024

Table of Content

Definition of Project Management Methodologies:

Types of project management methodologies, project management methodologies tools , project management methodologies techniques, how to choose a project management methodology, explore bakkah's leading courses to boost your skills in project management and business analysis:, popular articles.

PRINCE2 Methodology - 2024 Full Guide About Advantages and Disadvantages

Prosci Methodology - Change Management Methodology

Application of PMO in government entities in Saudi Arabia

Project management methodologies are systematic frameworks and guidelines utilized by organizations to efficiently plan, execute, and complete projects. They offer structured approaches to project management, ensuring adherence to timelines, budgets, and objectives. These methodologies encompass diverse principles, practices, and tools designed to facilitate effective communication and coordination among project-implementing teams. 

Project management methodologies vary in their approach, with some emphasizing flexibility and adaptability (e.g., Agile) while others focus on sequential and structured processes (e.g., Waterfall). The appropriate methodology must be selected according to the type of project and its unique circumstances. The goal is to enhance project efficiency, minimize risks, and deliver high-quality results, ultimately contributing to achieving the specified goals and objectives of the project.

Project management methodologies refer to the systematic frameworks, processes, and guidelines organizations follow to plan, execute, monitor, and complete projects. These methodologies provide a structured approach to managing projects, ensuring they are completed on time, within budget, and meet the specified goals and objectives.

Project management methodologies encompass diverse principles, practices, and tools designed to facilitate effective communication and coordination among project-implementing teams.

They can vary in their approach, with some methodologies emphasizing flexibility and adaptability (e.g., Agile), while others focus on sequential and structured processes (e.g., Waterfall). The appropriate methodology must be selected according to the type of project and its unique circumstances.

The goal of Project Management Methodologies is to enhance project efficiency, minimize risks, and deliver high-quality results, ultimately contributing to achieving the specified goals and objectives of the project.

Various tools support their implementation, enhancing collaboration and communication, while diverse techniques facilitate effective project planning, execution, and control.

There are diverse project management methodologies, each with different principles, processes, and approaches. Here are some common types:

1. Waterfall Methodology

Waterfall project management is a traditional approach to project management where tasks are completed sequentially and linearly. 

The methodology is called "waterfall" because progress is seen as flowing steadily downwards through phases, like a waterfall. Each phase must be completed before moving on to the next one, and changes to the project are generally not allowed once a phase is closed.

Here are the main phases in the waterfall project management methodology:

• Requirements: Define project scope, objectives, and deliverables.
• Design: Create a detailed plan for how the solution meets requirements.
• Implementation (or Construction): Include coding or construction of the project.
• Testing: Ensure the project meets specified requirements through various testing phases.
• Deployment (or Implementation): Implement the project in the production environment after the success of testing.
• Maintenance and Support: Address issues and user concerns and make updates as needed.

The waterfall methodology is best suited for projects where the requirements are well-understood and unlikely to change significantly during the development process.

It is often used in industries like construction and manufacturing. However, one of its main drawbacks is its inflexibility to adapt to changes once the project has started, as it does not easily accommodate changes in requirements.

2. Agile Methodology

Agile methodology is an iterative and flexible approach to project management that focuses on collaboration, adaptability, and customer satisfaction.

Unlike the linear nature of the waterfall model, agile divides a project into small increments with minimal planning and delivers functional pieces of the project in short time frames, known as iterations or sprints.

Primary principles and practices of agile include:

• Projects are divided into small manageable iterations, delivering potentially shippable product increments.
• Collaboration and communication between team members, stakeholders, and customers are crucial for quick adaptation to changes and alignment with goals.
• Continuous customer feedback allows for adjustments based on changing requirements.
• Agile is flexible and adaptable to changes in requirements or priorities at any stage.
• Continuous delivery aims for a potentially shippable product at the end of each iteration, allowing for early and regular value delivery to the customer.
• Prioritization and timeboxing based on value and importance ensure focus and urgency in delivering value.
• Agile encourages self-organizing, cross-functional team formation that collectively possess the necessary skills to deliver a complete product.

Popular agile frameworks include Scrum, Kanban, and Extreme Programming (XP), each with specific practices and roles. 

Agile is widely used in software development and various industries for its adaptability and customer-centric approach.

3. Scrum Framework

Scrum is one of the most widely used agile frameworks for managing complex software development projects. It provides a structured yet flexible approach to product development.

Key elements of the Scrum framework include:

• Roles: Include Product Owner, Scrum Master, and Development Team.
• Artifacts: Comprise the Product Backlog, Sprint Backlog, and Increment.
• Events: Include Sprint Planning, Daily Stand-up, Sprint Review, and Sprint Retrospective.

Scrum's iterative and incremental approach, along with its emphasis on collaboration and adaptability, makes it particularly effective for projects where requirements may change or evolve during development.

4. Kanban Methodology

Kanban is a project management methodology that visualizes workflow using boards, cards, and columns. It also limits tasks that are in progress simultaneously to prevent overloading the team and ensure a steady flow of work.

Emphasizing continuous improvement, Kanban employs feedback loops and a pull system, adapting work based on demand. Service Level Agreements (SLAs) are often used in Kanban to define the expected time frames.

Known for flexibility and adaptability, Kanban suits various industries like architecture, construction, marketing, education, software development, design, and law. Kanban fosters collaboration and shared responsibility and allows incremental process improvements based on specific needs and context.

5. Lean Project Management

Lean Project Management (LPM) is an approach to project management that draws inspiration from Lean principles. The Lean philosophy focuses on minimizing waste, optimizing efficiency, and continuously improving processes.

Lean principles are applied to enhance project delivery, reduce unnecessary activities, and deliver value more effectively. 

Principal aspects of Lean Project Management methodology include eliminating waste, using value stream mapping, continuous improvement (Kaizen), customer focus, pull scheduling, visual management, batch size reduction, flexible planning, and cross-functional team use. LPM is suitable for industries like manufacturing, construction, and software development.

Its focus on efficiency and customer value makes it a valuable approach for organizations seeking to optimize their project delivery processes.

6. PRINCE2 (Projects IN Controlled Environments)

PRINCE2 (Projects IN Controlled Environments) is a widely adopted project management methodology developed by the UK government. It provides a structured and process-driven approach to project management, emphasizing flexibility and adaptability.

PRINCE2 divides projects into manageable stages, with defined roles and responsibilities, ensuring organized and controlled project execution.

The methodology consists of seven processes:

• Starting Up a Project (SU): Ensures project prerequisites are in place.
• Initiating a Project (IP): Defines project scope, objectives, and plans.
• Directing a Project (DP): Provides senior management with chief controls.
• Controlling a Stage (CS): Manages day-to-day project activities.
• Managing Product Delivery (MP): Ensures efficient product work.
• Managing a Stage Boundary (SB): Focuses on transitioning between stages.
• Closing a Project (CP): Formally closes the project and ties up loose ends.

PRINCE2 is known for its focus on continuous improvement and adaptability, making it a valuable tool for delivering successful projects within time, cost, and quality constraints.

Boost your career with Bakkah’s PRINCE2 courses:

• PRINCE2® Training Course Online
• PRINCE2® Agile Foundation & Practitioner Online Course and Certification

7. Critical Path Method (CPM)

Critical Path Method (CPM) is a project management technique that identifies the critical path of activities, potential risks, team roles, and the sequence of tasks determining the shortest project duration. Key steps:

• Task Breakdown: Identify and sequence project tasks. 
• Duration Estimation: Assign time estimates to tasks.
• Network Diagram: Create a visual representation of task dependencies.
• Critical Path Identification: Find the path critical for project completion.
• Float/Slack Calculation: Determine non-critical task flexibility.
• Resource Allocation: Efficiently allocate resources.
• Monitoring and Control: Monitor progress continuously, update schedules, and take corrective actions., update schedules, and take corrective actions.

CPM is an essential tool for effective project planning and control. It aids in prioritizing critical tasks, managing time constraints, and optimizing project schedules. CMP can be used in several projects, such as engineering, manufacturing, construction, and science.

8. Six Sigma ( Continuous Improvement Methodology)

Six Sigma is a data-driven project management methodology focused on improving process efficiency continuously and reducing defects or errors. Developed by Motorola in the 1980s, Six Sigma seeks to minimize variations and achieve higher levels of quality in processes. It is often applied in manufacturing and process improvement projects. Here is a concise overview of the Six Sigma project management methodology:

• Define (D): Clearly articulate the problem, project goals, scope, and customer requirements.
• Measure (M): Establish metrics, collect data, and measure baseline performance.
• Analyze (A): Use statistical tools to identify root causes of defects or inefficiencies.
• Improve (I): Develop and implement solutions, testing and refining as needed.
• Control (C): Establish measures to sustain improvements and prevent recurrence of defects or issues.

The Six Sigma methodology is often represented by the acronym DMAIC (Define, Measure, Analyze, Improve, Control). Additionally, for more complex or considerable process changes, there is another phase known as DMADV (Define, Measure, Analyze, Design, Verify).

Bakkah provides certification levels such as Six Sigma Green Belt and Six Sigma Black Belt are available for individuals to demonstrate proficiency in applying Six Sigma principles and methodologies. Organizations implementing Six Sigma often experience enhanced efficiency, reduced defects, and improved customer satisfaction.

9. RAD (Rapid Application Development)

Rapid Application Development (RAD) is a project development methodology that prioritizes quick iterations and prototypes over extensive planning.

It involves user participation throughout the process, parallel development of system components, and a flexible, adaptive approach. Prototyping is a key feature, allowing for continuous refinement based on user feedback. RAD aims to deliver a functional product rapidly, focusing on time and cost efficiency.

Popular RAD tools include Microsoft Visual Basic, PowerBuilder, and OutSystems. The methodology suits projects with changing requirements but may not be ideal for highly structured endeavors.

10. Incremental and Iterative Methodologies

Incremental development involves dividing the project into small increments, each delivering a part of the final product's functionality linearly. User feedback is integrated after each increment, providing ongoing adaptability and the ability to identify and correct issues early. This approach enables early delivery and reduced project risk.

On the other hand, iterative development goes through cycles or iterations, refining the entire system with each iteration. It is highly flexible and accommodates changing requirements throughout the development process.

11. Hybrid Methodologies

Hybrid methodologies in project development involve blending elements from different traditional and agile approaches to create a flexible and tailored solution. That allows teams to adapt practices based on the project's unique requirements, leveraging both structured planning and iterative development. 

In a hybrid methodology, the most appropriate elements from each methodology are identified and combined harmoniously. Examples include combining Waterfall and Scrum or integrating lean principles with agile practices.

The goal is to manage risks effectively, enhance flexibility, and address the project-specific needs. Effective communication is crucial to mitigate potential challenges introduced by diverse practices integration.

12. Extreme Programming (XP)

XP is an Agile methodology that emphasizes collaboration, adaptability, and delivering high-quality software through practices such as continuous testing and frequent releases.

Extreme Programming methodology is one of the famous methodologies for managing and developing software and other technical projects. It is based on diverse principles and practices, focusing on increasing software quality and improving team productivity.

A team needs to follow this method if the project is fast-paced or subject to regular change and thus has a dynamic rather than static nature.

The Extreme methodology also aims to achieve productive cooperation between team members and increase the quality of the final product and its flexibility in the face of changes.

Here are the main principles and practices of Extreme Programming:

• XP is built on a set of core values, including communication, simplicity, feedback, and courage.
• Developers work in pairs, one writing code and the other reviewing it in real time. That promotes collaboration, knowledge sharing, and code quality.
• Developers write tests before writing the actual code. That ensures that the code meets specifications and facilitates maintenance and updates.
• Code is integrated frequently to identify and address integration issues early in the development process.
• XP improves code design regularly without changing its functionality.
• XP keeps the design as simple as possible, making it easier to understand, modify, and maintain.
• Frequent and direct interaction with the customer allows for quick adjustments to changing requirements and priorities.
• XP emphasizes continuous improvement through regular reflection on the development process and changes in implementation to enhance efficiency and quality.

Bakkah provides a variety of accredited project management Courses for all professional certificates in project management, risk management, and others.

In brief, choosing the most suitable project management methodology depends on factors such as project size, complexity, industry, and organizational culture. Project managers often customize or combine methodologies to best fit the unique requirements of their projects.

Project management methodologies are often supported and implemented using various tools to enhance efficiency, collaboration, and communication throughout the project lifecycle. Here are some commonly used tools associated with project management methodologies:

1. Project Management Software

Tools like Microsoft Project, Asana, Jira, Trello, and Monday.com provide features for project planning, scheduling, task assignment, and progress tracking.

2. Version Control Systems

Git, SVN (Subversion), and Mercurial help manage changes to source code and documentation, ensuring version control and collaboration in software development projects.

3. Communication and Collaboration Tools

Slack, Microsoft Teams, and Discord facilitate real-time communication, file sharing, and collaboration among team members, supporting Agile and remote work environments.

4. Gantt Charts

Tools like GanttPRO and SmartDraw help create visual representations of project timelines, tasks, and dependencies, commonly used in Waterfall and traditional project management methodologies.

5. Kanban Boards

Trello, KanbanFlow, and LeanKit enable teams to visualize work and optimize workflow, particularly in Agile and Lean methodologies.

6. Scrum Tools

Jira, VersionOne, and Targetprocess support the Scrum framework with features for sprint planning, backlog management, and burndown charts.

7. Resource Management Tools

Workfront, Mavenlink, and TeamGantt assist in resource allocation, workload tracking, and managing team capacity in project management.

8. Risk Management Tools

RiskWatch, RiskyProject, and ProjectManager.com help identify, assess, and manage risks throughout the project lifecycle.

9. Collaborative Document Management

Tools like SharePoint, Google Workspace, and Dropbox Business enable teams to collaborate on documents, share project-related files, and ensure version control.

10. Continuous Integration and Deployment (CI/CD) Tools

Jenkins, Travis CI, and GitLab CI/CD automate integration code changes process and deploying software, commonly used in Agile and DevOps methodologies.

11. Time Tracking and Timesheet Tools

Harvest, Toggl, and Clockify assist in tracking project-related activities, allowing for accurate time management and resource allocation.

12. Customer Relationship Management (CRM) Tools

Salesforce, HubSpot, and Zoho CRM support customer-centric projects. That helps teams manage client interactions, feedback, and requirements.

Project managers and teams should carefully select tools that align with their chosen methodologies and project requirements. Integrating these tools can significantly improve project management efficiency and contribute to successful project outcomes.

Project management methodologies involve various techniques to plan, execute, and control projects effectively. Here are some commonly used techniques associated with project management methodologies:

1. Work Breakdown Structure (WBS)

Break a project into smaller, manageable tasks and create a hierarchical structure to define clearly the scope and deliverables.

2. PERT (Program Evaluation and Review Technique) and CPM (Critical Path Method)

Techniques for scheduling and managing tasks by identifying critical paths and dependencies and estimating project duration.

2. SWOT Analysis

Evaluate the project's Strengths, Weaknesses, Opportunities, and Threats to make informed decisions and develop effective strategies.

3. Risk Management

Identify, assess, mitigate, and monitor risks throughout the project lifecycle to minimize potential negative impacts.

4. Stakeholder Analysis

Identify and analyze stakeholders to understand their interests, influence, and expectations and ensure effective communication and engagement.

5. PERT Charts (Program Evaluation and Review Technique)

Graphical representations of project tasks and their dependencies, helping visualize the project schedule and critical path.

6. Scrum Meetings

Daily Standups, Sprint Planning, Sprint Review, and Sprint Retrospective are regular Scrum meetings that facilitate communication and collaboration in Agile projects.

7. Earned Value Management (EVM)

Analyze project performance by measuring the planned value, earned value, and actual cost to assess progress and forecast future performance.

8. Quality Management

Implement techniques such as quality audits, inspections, and control charts to ensure project deliverables meet predefined quality standards.

9. Mind Mapping

Visualize project ideas, requirements, and tasks using mind maps to stimulate creative thinking and organize information in a structured way.

10. Critical Chain Method

Identify and manage resource dependencies to optimize project schedules and improve overall performance.

11. Prototyping

Creating a working model or prototype of a product or system to gather feedback early in the development process is common in Agile and iterative methodologies.

12. Benchmarking

Compare project performance metrics and processes against industry standards or best practices to identify areas for improvement.

13. Dependency Mapping

Identify and visualize dependencies between different tasks or project activities to understand their interrelationships and potential impacts.

14. Agile Estimation Techniques

Use techniques like Planning Poker, Relative Sizing, and Story Points to estimate the effort required for Agile project tasks.

15. Change Management

Implement strategies and techniques to manage and communicate changes effectively, ensuring minimal disruptions to project progress.

16. Communication Plans

Developing plans outlines how project information will be communicated to stakeholders, ensuring clear and consistent communication.

These techniques are often applied based on the specific requirements, characteristics, and principles of the chosen project management methodology. Project managers may tailor and combine these techniques to suit the needs of their projects.

Choosing a suitable project management methodology is crucial for the success of a project. The decision should be based on the project's characteristics, team dynamics, organizational culture, and the nature of the work to be performed. Here is a step-by-step guide on how to choose a project management methodology:

1. Understand Project Requirements

Clearly define the project scope, objectives, and deliverables. Consider the size, complexity, and nature of the project work.

2. Assess Team Skills and Experience

Evaluate the skills and experience of the project team. Consider their familiarity with different methodologies and their adaptability to new approaches.

3. Consider Project Flexibility

Assess the level of flexibility required throughout the project. Some projects may benefit from a more adaptive and iterative approach, while others may require a more structured and sequential process.

4. Examine Project Constraints

Identify any constraints such as budget limitations, time constraints, regulatory requirements, or client preferences that may influence the choice of methodology.

5. Evaluate Organizational Culture

Consider the existing organizational culture and whether it aligns with the principles of certain project management methodologies. Some organizations may prefer traditional, plan-driven approaches, while others may be more receptive to Agile or iterative methods.

6. Define Stakeholder Involvement

Determine the level of involvement and collaboration required from project stakeholders. Some methodologies, like Agile, emphasize continuous stakeholder engagement and feedback.

7. Analyze Project Risks

Evaluate the potential risks associated with the project. Some methodologies, such as Agile, are well-suited for projects with high uncertainty and evolving requirements.

8. Review Industry Standards

Consider industry standards and best practices. Certain industries or project types may have specific guidelines or regulations that align with particular methodologies.

9. Explore Hybrid Approaches

Assess the possibility of combining elements from different methodologies to create a hybrid approach tailored to the project's specific needs.

10. Pilot or Prototype

If feasible, consider running a pilot or prototype using a small-scale version of the project to test how well a methodology fits the team and project requirements.

11. Consult with Stakeholders

Seek input from key stakeholders, including team members, clients, and sponsors. Understand their preferences, expectations, and concerns regarding project management approaches.

12. Training and Transition Plan

Evaluate the readiness of the team to adopt a new methodology. Plan for necessary training and establish a transition plan to smoothly implement the chosen methodology.

13. Continuous Improvement

Be open to evaluating and adjusting the chosen methodology throughout the project. Continuous improvement is essential to address evolving project needs and improve overall project management processes.

Elevate your project management skills with Bakkah Learning's expert-led courses. From PMP to Prince2, Six Sigma to Agile, we offer tailored programs to suit your career goals. With interactive learning, flexible access, and certification preparation, we're your partner for professional growth. Start your journey to mastery today with Bakkah Learning!

Here are some Project Management Courses :

• Certified Associate in Project Management CAPM Course
• PMI-ACP® certification
• PgMP certification
• PMI Scheduling Professional - PMI-SP certification

Risk Management Courses And Certifications:

• Risk Management Professional - PMI-RMP Course
• MoR Certification and course

PRINCE2 Courses

• PRINCE2 Certification
• PRINCE2 Agile.

Project Management Tools:

• Primavera P6 Course
• MSP Course - Managing Successful Programmes
• Microsoft Project training course  

Portfolio Management

• P3O Foundation certification
• Management of Portfolios MoP
• The Portfolio Management Professional – PfMP certificate
• Lean Six Sigma Yellow Belt Course
• Lean Six Sigma Green Belt Course
• Lean Six Sigma Black Belt Course

Ultimately, the choice of a project management methodology should be a thoughtful and informed decision that aligns with the unique characteristics of the project and the organization. Regularly reassess the chosen methodology to ensure its continued effectiveness and make adjustments as needed.

Related Courses

Our learning programs are delivered through a tested and professionally designed methodology.

2,477.5 SAR

Exam is included

2,158.75 SAR

Live Online

1,345.5 SAR

2,753.1 SAR

2,872.13 SAR

3,785.8 SAR

Your experience on this site will be improved by allowing cookies.

Added to Cart

{{ convertjson(lastcartitem.course.title) }}, features with this course, total with vat, {{ parsefloat(totalfeatures(lastcartitem)) }} {{currency}}.

• Product overview
• All features
• App integrations

CAPABILITIES

• project icon Project management
• Project views
• Custom fields
• Status updates
• goal icon Goals and reporting
• Reporting dashboards
• workflow icon Workflows and automation
• portfolio icon Resource management
• Time tracking
• my-task icon Admin and security
• Admin console
• asana-intelligence icon Asana Intelligence
• list icon Personal
• premium icon Starter
• briefcase icon Advanced
• Goal management
• Organizational planning
• Campaign management
• Creative production
• Content calendars
• Marketing strategic planning
• Resource planning
• Project intake
• Product launches
• Employee onboarding
• View all uses arrow-right icon
• Project plans
• Team goals & objectives
• Team continuity
• Meeting agenda
• View all templates arrow-right icon
• Work management resources Discover best practices, watch webinars, get insights
• What's new Learn about the latest and greatest from Asana
• Customer stories See how the world's best organizations drive work innovation with Asana
• Help Center Get lots of tips, tricks, and advice to get the most from Asana
• Asana Academy Sign up for interactive courses and webinars to learn Asana
• Developers Learn more about building apps on the Asana platform
• Community programs Connect with and learn from Asana customers around the world
• Events Find out about upcoming events near you
• Partners Learn more about our partner programs
• Support Need help? Contact the Asana support team
• Asana for nonprofits Get more information on our nonprofit discount program, and apply.

Featured Reads

• What is Agile methodology? (A beginner’ ...

What is Agile methodology? (A beginner’s guide)

Agile methodology is a project management framework that breaks projects down into several dynamic phases, commonly known as sprints. In this article, get a high-level overview of Agile project management, plus a few common frameworks to choose the right one for your team.

Scrum, Kanban, waterfall, Agile. 

Agile project management isn’t just useful for software project management—all types of teams have been successful with this dynamic methodology. If you’re looking to get started with Agile, you’ve come to the right place.

What is the Agile methodology?

Agile methodology is a project management framework that breaks projects down into several dynamic phases, commonly known as sprints. 

The Agile framework is an iterative methodology . After every sprint, teams reflect and look back to see if there was anything that could be improved so they can adjust their strategy for the next sprint.

What is the Agile Manifesto?

The Agile Manifesto is a document that focuses on four values and 12 principles for Agile software development. It was published in February 2001 by 17 software developers who needed an alternative to the more linear product development process .  

What are the 4 pillars of Agile?

As outlined in the Agile Manifesto, there are four main values of Agile project management:

Individuals over processes and tools: Agile teams value team collaboration and teamwork over working independently and doing things "by the book.”

Working software over comprehensive documentation: The software that Agile teams develop should work. Additional work, like documentation, is not as important as developing good software.

Customer collaboration over contract negotiation: Customers are extremely important within the Agile methodology. Agile teams allow customers to guide where the software should go. Therefore, customer collaboration is more important than the finer details of contract negotiation.

Responding to change over following a plan: One of the major benefits of Agile project management is that it allows teams to be flexible. This framework allows for teams to quickly shift strategies and workflows without derailing an entire project.

What are the 12 Agile principles?

The four values of Agile are the pillars of Agile methodology. From those values, the team developed 12 principles. 

If the four values of Agile are the weight-bearing pillars of a house, then these 12 principles are the rooms you can build within that house. These principles can be easily adapted to fit the needs of your team. 

The 12 principles used in Agile methodology are:

Satisfy customers through early, continuous improvement and delivery. When customers receive new updates regularly, they're more likely to see the changes they want within the product. This leads to happier, more satisfied customers—and more recurring revenue.

Welcome changing requirements, even late in the project. The Agile framework is all about adaptability. In iterative processes like Agile, being inflexible causes more harm than good. 

Deliver value frequently. Similar to principle #1, delivering value to your customers or stakeholders frequently makes it less likely for them to churn. 

Break the silos of your projects. Collaboration is key in the Agile framework. The goal is for people to break out of their own individual projects and collaborate together more frequently . 

Build projects around motivated individuals. Agile works best when teams are committed and actively working to achieve a goal. 

The most effective way to communicate is face-to-face. If you’re working on a distributed team, spend time communicating in ways that involve face-to-face communication like Zoom calls. 

Working software is the primary measure of progress. The most important thing that teams should strive for with the Agile framework is the product. The goal here is to prioritize functional software over everything else.

Maintain a sustainable working pace. Some aspects of Agile can be fast-paced, but it shouldn't be so fast that team members burn out . The goal is to maintain sustainability throughout the project.

Continuous excellence enhances agility . If the team develops excellent code in one sprint, they can continue to build off of it the next. Continually creating great work allows teams to move faster in the future. 

Simplicity is essential. Sometimes the simplest solution is the best solution. Agile aims to not overcomplicate things and find simple answers to complex problems. 

Self-organizing teams generate the most value. Similar to principle #5, proactive teams become valuable assets to the company as they strive to deliver value.

Regularly reflect and adjust your way of work to boost effectiveness . Retrospective meetings are a common Agile practice. It's a dedicated time for teams to look back and reflect on their performance and adapt their behaviors for the future.

What are the benefits of the Agile development methodology?

You commonly find Agile project management used in application development or other types of software development. This is because software is constantly changing, and the needs of the product have to change with it. 

Because of this, linear project management methods like the waterfall model are less effective. Here are a few other reasons why teams use Agile:

Agile methods are adaptable

There's a reason why they call it the Agile methodology. One of the main benefits of using Agile processes in software development is the ability to shift strategies quickly, without disrupting the flow of a project. 

Because phases in the traditional waterfall method flow into one another, shifting strategies is challenging and can disrupt the rest of the project roadmap . Since software development is a much more adaptable field, project managing rapid changes in the traditional sense can be challenging. This is part of the reason why Agile project management is favored in software development.

Agile fosters collaborative teamwork

One of the Agile principles states that the most effective way to communicate with your team is face-to-face. Combine this with the principle that encourages teams to break project silos and you have a recipe for collaborative teamwork. 

While technology has changed since Agile’s inception and work has shifted to welcome more remote-friendly policies, the idea of working face-to-face still hasn't changed.

Agile methods focus on customer needs

One of the unique aspects of software development is that teams can focus on customer needs much more closely than other industries. With the rise of cloud-based software, teams can get feedback from their actual customers quickly. 

Since customer satisfaction is a key driver for software development, it’s easy to see why it was included in the Agile process. By collaborating with customers, Agile teams can prioritize features that focus on customer needs. When those needs change, teams can take an Agile approach and shift to a different project. 

Agile methodologies

The Agile framework is an umbrella for several different variations. Here are a few of the most common Agile methodologies. 

Kanban is a visual approach to Agile. Teams use online Kanban board tools to represent where certain tasks are in the development process. Tasks are represented by cards on a board, and stages are represented in columns. As team members work on tasks, they move cards from the backlog column to the column that represents the stage the task is in.

This method is a good way for teams to identify roadblocks and to visualize the amount of work that’s getting done. 

Scrum is a common Agile methodology for small teams and also involves sprints. The team is led by a Scrum master whose main job is to clear all obstacles for others executing the day-to-day work. 

Scrum teams meet daily to discuss active tasks, roadblocks, and anything else that may affect the development team.  

Sprint planning: This event kicks off the sprint. Sprint planning outlines what can be delivered in a sprint (and how).

Sprint retrospective : This recurring meeting acts as a sprint review—to iterate on learnings from a previous sprint that will improve and streamline the next one. 

Extreme Programming (XP)

Typically used in software development, Extreme Programming (XP) is an Agile framework that outlines values that will allow your team to work together more effectively.  

The five values of XP include:

Communication

Similar to daily Scrum standups, there are regular releases and iterations, yet XP is much more technical in its approach. If your dev team needs to quickly release and respond to customer requests, XP focuses on the “how” it will get done. 

Adaptive Project Framework (APF)

The Adaptive Project Framework, also known as Adaptive Project Management (APM) grew from the idea that unknown factors can show up at any time during a project. This technique is mainly used for IT projects where more traditional project management techniques don’t apply.

This framework is based on the idea that project resources can change at any time. For example, budgets can change, timelines can shift, or team members working on the project may transition to different teams. APF focuses on the resources that a project has, as opposed to the resources a project needs. 

Extreme Project Management (XPM)

This type of project management is often used for very complex projects with a high level of uncertainty. This approach involves constantly adapting processes until they lead to the desired result. This type of project involves many spontaneous changes and it’s normal for teams to switch strategies from one week to the next. 

XPM requires a lot of flexibility. This is one of the reasons why each sprint is short—only a few weeks maximum. This methodology allows for frequent changes, trial-and-error approaches to problems, and many iterations of self-correction.

Adaptive Software Development (ASD)

This Agile methodology enables teams to quickly adapt to changing requirements. The main focus of this process is continuous adaptation. The phases of this project type —speculate, collaborate, and learn—allow for continuous learning as the project progresses. 

It’s not uncommon for teams running ASD to be in all three phases of ASD at once. Because of its non-linear structure, it’s common for the phases to overlap. Because of the fluidity of this type of management, there’s a higher likelihood that the constant repetition of the three phases helps team members identify and solve problems much quicker than standard project management methods.

Dynamic Systems Development Method (DSDM)

The Dynamic Systems Development Method is an Agile method that focuses on a full project lifecycle. Because of this, DSDM has a more rigorous structure and foundation, unlike other Agile methods. 

There are four main phases of DSDM:

Feasibility and business study

Functional mode or prototype iteration

Design and build iteration

Implementation

Feature Driven Development (FDD)

Feature Driven Development blends different Agile best practices. While still an iterative method of project management, this model focuses more on the exact features of a software that the team is working to develop. Feature-driven development relies heavily on customer input, as the features the team prioritizes are the features that the customers need. 

This model also allows teams to update projects frequently. If there is an error, it's quick to cycle through and implement a fix as the phases of this framework are constantly moving. 

Organize Agile processes with Asana

You’ll often hear software development teams refer to the Agile process—but any team can run Agile. If you’re looking for a more flexible project management framework, try Agile. 

Related resources

What are story points? Six easy steps to estimate work in Agile

Smooth product launches are simpler than you think

How Asana uses work management to streamline project intake processes

6 ways to develop adaptability in the workplace and embrace change

• Privacy Policy

Home » Research Methodology – Types, Examples and writing Guide

Research Methodology – Types, Examples and writing Guide

Table of Contents

Research Methodology

Definition:

Research Methodology refers to the systematic and scientific approach used to conduct research, investigate problems, and gather data and information for a specific purpose. It involves the techniques and procedures used to identify, collect , analyze , and interpret data to answer research questions or solve research problems . Moreover, They are philosophical and theoretical frameworks that guide the research process.

Structure of Research Methodology

Research methodology formats can vary depending on the specific requirements of the research project, but the following is a basic example of a structure for a research methodology section:

I. Introduction

• Provide an overview of the research problem and the need for a research methodology section
• Outline the main research questions and objectives

II. Research Design

• Explain the research design chosen and why it is appropriate for the research question(s) and objectives
• Discuss any alternative research designs considered and why they were not chosen
• Describe the research setting and participants (if applicable)

III. Data Collection Methods

• Describe the methods used to collect data (e.g., surveys, interviews, observations)
• Explain how the data collection methods were chosen and why they are appropriate for the research question(s) and objectives
• Detail any procedures or instruments used for data collection

IV. Data Analysis Methods

• Describe the methods used to analyze the data (e.g., statistical analysis, content analysis )
• Explain how the data analysis methods were chosen and why they are appropriate for the research question(s) and objectives
• Detail any procedures or software used for data analysis

V. Ethical Considerations

• Discuss any ethical issues that may arise from the research and how they were addressed
• Explain how informed consent was obtained (if applicable)
• Detail any measures taken to ensure confidentiality and anonymity

VI. Limitations

• Identify any potential limitations of the research methodology and how they may impact the results and conclusions

VII. Conclusion

• Summarize the key aspects of the research methodology section
• Explain how the research methodology addresses the research question(s) and objectives

Research Methodology Types

Types of Research Methodology are as follows:

Quantitative Research Methodology

This is a research methodology that involves the collection and analysis of numerical data using statistical methods. This type of research is often used to study cause-and-effect relationships and to make predictions.

Qualitative Research Methodology

This is a research methodology that involves the collection and analysis of non-numerical data such as words, images, and observations. This type of research is often used to explore complex phenomena, to gain an in-depth understanding of a particular topic, and to generate hypotheses.

Mixed-Methods Research Methodology

This is a research methodology that combines elements of both quantitative and qualitative research. This approach can be particularly useful for studies that aim to explore complex phenomena and to provide a more comprehensive understanding of a particular topic.

Case Study Research Methodology

This is a research methodology that involves in-depth examination of a single case or a small number of cases. Case studies are often used in psychology, sociology, and anthropology to gain a detailed understanding of a particular individual or group.

Action Research Methodology

This is a research methodology that involves a collaborative process between researchers and practitioners to identify and solve real-world problems. Action research is often used in education, healthcare, and social work.

Experimental Research Methodology

This is a research methodology that involves the manipulation of one or more independent variables to observe their effects on a dependent variable. Experimental research is often used to study cause-and-effect relationships and to make predictions.

Survey Research Methodology

This is a research methodology that involves the collection of data from a sample of individuals using questionnaires or interviews. Survey research is often used to study attitudes, opinions, and behaviors.

Grounded Theory Research Methodology

This is a research methodology that involves the development of theories based on the data collected during the research process. Grounded theory is often used in sociology and anthropology to generate theories about social phenomena.

Research Methodology Example

An Example of Research Methodology could be the following:

Research Methodology for Investigating the Effectiveness of Cognitive Behavioral Therapy in Reducing Symptoms of Depression in Adults

Introduction:

The aim of this research is to investigate the effectiveness of cognitive-behavioral therapy (CBT) in reducing symptoms of depression in adults. To achieve this objective, a randomized controlled trial (RCT) will be conducted using a mixed-methods approach.

Research Design:

The study will follow a pre-test and post-test design with two groups: an experimental group receiving CBT and a control group receiving no intervention. The study will also include a qualitative component, in which semi-structured interviews will be conducted with a subset of participants to explore their experiences of receiving CBT.

Participants:

Participants will be recruited from community mental health clinics in the local area. The sample will consist of 100 adults aged 18-65 years old who meet the diagnostic criteria for major depressive disorder. Participants will be randomly assigned to either the experimental group or the control group.

Intervention :

The experimental group will receive 12 weekly sessions of CBT, each lasting 60 minutes. The intervention will be delivered by licensed mental health professionals who have been trained in CBT. The control group will receive no intervention during the study period.

Data Collection:

Quantitative data will be collected through the use of standardized measures such as the Beck Depression Inventory-II (BDI-II) and the Generalized Anxiety Disorder-7 (GAD-7). Data will be collected at baseline, immediately after the intervention, and at a 3-month follow-up. Qualitative data will be collected through semi-structured interviews with a subset of participants from the experimental group. The interviews will be conducted at the end of the intervention period, and will explore participants’ experiences of receiving CBT.

Data Analysis:

Quantitative data will be analyzed using descriptive statistics, t-tests, and mixed-model analyses of variance (ANOVA) to assess the effectiveness of the intervention. Qualitative data will be analyzed using thematic analysis to identify common themes and patterns in participants’ experiences of receiving CBT.

Ethical Considerations:

This study will comply with ethical guidelines for research involving human subjects. Participants will provide informed consent before participating in the study, and their privacy and confidentiality will be protected throughout the study. Any adverse events or reactions will be reported and managed appropriately.

Data Management:

All data collected will be kept confidential and stored securely using password-protected databases. Identifying information will be removed from qualitative data transcripts to ensure participants’ anonymity.

Limitations:

One potential limitation of this study is that it only focuses on one type of psychotherapy, CBT, and may not generalize to other types of therapy or interventions. Another limitation is that the study will only include participants from community mental health clinics, which may not be representative of the general population.

Conclusion:

This research aims to investigate the effectiveness of CBT in reducing symptoms of depression in adults. By using a randomized controlled trial and a mixed-methods approach, the study will provide valuable insights into the mechanisms underlying the relationship between CBT and depression. The results of this study will have important implications for the development of effective treatments for depression in clinical settings.

How to Write Research Methodology

Writing a research methodology involves explaining the methods and techniques you used to conduct research, collect data, and analyze results. It’s an essential section of any research paper or thesis, as it helps readers understand the validity and reliability of your findings. Here are the steps to write a research methodology:

• Start by explaining your research question: Begin the methodology section by restating your research question and explaining why it’s important. This helps readers understand the purpose of your research and the rationale behind your methods.
• Describe your research design: Explain the overall approach you used to conduct research. This could be a qualitative or quantitative research design, experimental or non-experimental, case study or survey, etc. Discuss the advantages and limitations of the chosen design.
• Discuss your sample: Describe the participants or subjects you included in your study. Include details such as their demographics, sampling method, sample size, and any exclusion criteria used.
• Describe your data collection methods : Explain how you collected data from your participants. This could include surveys, interviews, observations, questionnaires, or experiments. Include details on how you obtained informed consent, how you administered the tools, and how you minimized the risk of bias.
• Explain your data analysis techniques: Describe the methods you used to analyze the data you collected. This could include statistical analysis, content analysis, thematic analysis, or discourse analysis. Explain how you dealt with missing data, outliers, and any other issues that arose during the analysis.
• Discuss the validity and reliability of your research : Explain how you ensured the validity and reliability of your study. This could include measures such as triangulation, member checking, peer review, or inter-coder reliability.
• Acknowledge any limitations of your research: Discuss any limitations of your study, including any potential threats to validity or generalizability. This helps readers understand the scope of your findings and how they might apply to other contexts.
• Provide a summary: End the methodology section by summarizing the methods and techniques you used to conduct your research. This provides a clear overview of your research methodology and helps readers understand the process you followed to arrive at your findings.

When to Write Research Methodology

Research methodology is typically written after the research proposal has been approved and before the actual research is conducted. It should be written prior to data collection and analysis, as it provides a clear roadmap for the research project.

The research methodology is an important section of any research paper or thesis, as it describes the methods and procedures that will be used to conduct the research. It should include details about the research design, data collection methods, data analysis techniques, and any ethical considerations.

The methodology should be written in a clear and concise manner, and it should be based on established research practices and standards. It is important to provide enough detail so that the reader can understand how the research was conducted and evaluate the validity of the results.

Applications of Research Methodology

Here are some of the applications of research methodology:

• To identify the research problem: Research methodology is used to identify the research problem, which is the first step in conducting any research.
• To design the research: Research methodology helps in designing the research by selecting the appropriate research method, research design, and sampling technique.
• To collect data: Research methodology provides a systematic approach to collect data from primary and secondary sources.
• To analyze data: Research methodology helps in analyzing the collected data using various statistical and non-statistical techniques.
• To test hypotheses: Research methodology provides a framework for testing hypotheses and drawing conclusions based on the analysis of data.
• To generalize findings: Research methodology helps in generalizing the findings of the research to the target population.
• To develop theories : Research methodology is used to develop new theories and modify existing theories based on the findings of the research.
• To evaluate programs and policies : Research methodology is used to evaluate the effectiveness of programs and policies by collecting data and analyzing it.
• To improve decision-making: Research methodology helps in making informed decisions by providing reliable and valid data.

Purpose of Research Methodology

Research methodology serves several important purposes, including:

• To guide the research process: Research methodology provides a systematic framework for conducting research. It helps researchers to plan their research, define their research questions, and select appropriate methods and techniques for collecting and analyzing data.
• To ensure research quality: Research methodology helps researchers to ensure that their research is rigorous, reliable, and valid. It provides guidelines for minimizing bias and error in data collection and analysis, and for ensuring that research findings are accurate and trustworthy.
• To replicate research: Research methodology provides a clear and detailed account of the research process, making it possible for other researchers to replicate the study and verify its findings.
• To advance knowledge: Research methodology enables researchers to generate new knowledge and to contribute to the body of knowledge in their field. It provides a means for testing hypotheses, exploring new ideas, and discovering new insights.
• To inform decision-making: Research methodology provides evidence-based information that can inform policy and decision-making in a variety of fields, including medicine, public health, education, and business.

Advantages of Research Methodology

Research methodology has several advantages that make it a valuable tool for conducting research in various fields. Here are some of the key advantages of research methodology:

• Systematic and structured approach : Research methodology provides a systematic and structured approach to conducting research, which ensures that the research is conducted in a rigorous and comprehensive manner.
• Objectivity : Research methodology aims to ensure objectivity in the research process, which means that the research findings are based on evidence and not influenced by personal bias or subjective opinions.
• Replicability : Research methodology ensures that research can be replicated by other researchers, which is essential for validating research findings and ensuring their accuracy.
• Reliability : Research methodology aims to ensure that the research findings are reliable, which means that they are consistent and can be depended upon.
• Validity : Research methodology ensures that the research findings are valid, which means that they accurately reflect the research question or hypothesis being tested.
• Efficiency : Research methodology provides a structured and efficient way of conducting research, which helps to save time and resources.
• Flexibility : Research methodology allows researchers to choose the most appropriate research methods and techniques based on the research question, data availability, and other relevant factors.
• Scope for innovation: Research methodology provides scope for innovation and creativity in designing research studies and developing new research techniques.

Research Methodology Vs Research Methods

About the author.

Muhammad Hassan

Researcher, Academic Writer, Web developer

You may also like

How to Cite Research Paper – All Formats and...

Data Collection – Methods Types and Examples

Delimitations in Research – Types, Examples and...

Research Paper Format – Types, Examples and...

Research Process – Steps, Examples and Tips

Research Design – Types, Methods and Examples

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here .

Loading metrics

Open Access

Peer-reviewed

Research Article

Impact of agile management on project performance: Evidence from I.T sector of Pakistan

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: [email protected]

Affiliation Department of Management Science, COMSATS University Islamabad, Wah Cantt, Pakistan

Roles Project administration, Supervision, Writing – review & editing

Roles Data curation, Methodology, Project administration, Writing – original draft

Affiliation Department of Management Science, Riphah International University, Rawalpindi, Pakistan

Roles Conceptualization, Data curation, Methodology, Project administration, Supervision

Affiliation Department of Civil Engineering, COMSATS University Islamabad, Wah Cantt, Pakistan

Roles Project administration, Resources, Supervision, Validation

Roles Project administration, Resources, Validation, Writing – review & editing

Roles Data curation, Formal analysis, Investigation, Project administration, Validation

Roles Resources, Software, Supervision, Validation, Writing – review & editing

Affiliation Department of Computer Science, COMSATS University Islamabad, Wah Cantt, Pakistan

• Umer Muhammad, 
• Tahira Nazir, 
• Najam Muhammad, 
• Ahsen Maqsoom, 
• Samina Nawab, 
• Syeda Tamkeen Fatima, 
• Khuram Shafi, 
• Faisal Shafique Butt

• Published: April 5, 2021
• https://doi.org/10.1371/journal.pone.0249311
• Peer Review
• Reader Comments

Over the past several years, global project management teams have been facing dynamic challenges that continue to grow exponentially with the increasing number of complexities associated with the undertaken tasks. The ever-evolving organizational challenges demand project managers to adapt novel management practices to accomplish organizational goals rather than following traditional management practices. Considering which, the current study aims to explain the effect of agile management practices upon project performance directly as well as while being mediated through project complexity. Furthermore, the aforementioned mediatory relationship is evaluated in terms of the moderating effect of leadership competencies. The current study utilized the survey approach to collect the data from registered I.T firms deployed in the potential metropolitans of each province of Pakistan including, Peshawar, Islamabad, Lahore, Sialkot, Faisalabad, Hyderabad, Sukkur, and Karachi. A total of 176 responses were utilized for statistical evaluations. As result, it was observed that the negative influence anticipated by project complexity on project performance was compensated by the agile management practices. Further, the leadership competencies played a pivotal role in managing project complexity while implementing agile management practices and therefore enhancing project performance. The current study abridges the potential knowledge gap conceptually by evaluating the direct impact of agile management upon project performance while considering all of its aspects, exploring the mediatory role of project performance and evaluating the moderating role of leadership competencies in attaining optimum project performance. In contextual terms, the current study fills the knowledge gap by gauging the implications of agile management practices within the I.T sector of Pakistan. The results of the current study can be a potential guide for both the academicians and the industry professionals.

Citation: Muhammad U, Nazir T, Muhammad N, Maqsoom A, Nawab S, Fatima ST, et al. (2021) Impact of agile management on project performance: Evidence from I.T sector of Pakistan. PLoS ONE 16(4): e0249311. https://doi.org/10.1371/journal.pone.0249311

Editor: Dejan Dragan, Univerza v Mariboru, SLOVENIA

Received: October 1, 2020; Accepted: March 16, 2021; Published: April 5, 2021

Copyright: © 2021 Muhammad et al. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability: All relevant data are within the paper and its Supporting information files.

Funding: The authors received no specific funding for this work.

Competing interests: The authors have declared that no competing interests exist.

Introduction

The agile management approach in terms of project development process remains rather a novel practice for most of the organizations of today to adapt and practice. Regardless, recent studies have indicated that organizations around the globe considering their long terms benefits are adapting the agile management practices more, in comparison to the traditionally followed waterfall management practices; especially in the IT sector. Research so far has highlighted the relevance of the agile management practices as well as has justified its constructive impact on the performance of an organization [ 1 , 2 ]. In specific to the management trends being followed, a recent global report of PMI comprising opinion of 727 executive members deployed on 3,234 projects across Europe, Asia Pacific, North America, Latin American, Middle East, Africa, and Caribbean Regions, proposed the implementation of agile management practices as a potential reason to trigger organizational productivity. Therefore, signifying the impact of agile management practices upon the performance of the firms [ 3 ]. Moreover, another recent study conducted by Ambysoft indicated agile management practices to deliver a success rate of 55% in comparison to the waterfall management practices with a success rate of 29% only. The report further indicated that 36% of the projects completed under the agile management practices remained challenged and required limited fulfillment of constraints to accomplish the projects. In contrast, the waterfall management practices were credited 67% of the challenged projects. The study also revealed the agile management practices to be attributed with only a mere 3% of project failure rate [ 4 ]. Thus, justifying the constructive impact of agile management practices in terms of enhanced performance measures. Regardless, the precise study indicating the impact of implementing agile management practices upon the project performance while considering all of its related aspects is yet to be explored [ 5 , 6 ]. Considering the potential research gap, the current study took into account of all relevant aspects of project performance including ‘time’, ‘finances’, ‘magnitude of efforts’, ‘work environment moral’, ‘fulfillment of quality criterions’ as well as the ‘satisfaction of regarding stakeholders’ and further observed the variation, in terms of the implementation of the agile management practices.

Considering the organizational accomplishment related aspect of the current research, the performance associated with the projects is often challenged by the magnitude of the complexity faced by the firms. Complexity, if not addressed timely can rile up to potential risks and consequently result in declined performance to a limit where it can jeopardize the existence of an organization itself. Considering which, research so far has indicted that implementation of relevant management practices can enable the mitigation of complexity associated to a project [ 7 , 8 ]. As Sohi, Hertogh [ 9 ] in their recent study were able to justify the association of agile management practices with the abridged level of project complexity to some extent. It was further speculated by the researchers to enhance the project performance of any given firm. Therefore, to address the existing knowledge gap the current study took into account the mediating role of project complexity, to be able to analyze the direct impact of agility upon project complexity as well as the project performance. Moreover, justify the theorized impact of agility in terms of reduced project complexity and enhanced project performance.

Taking into account the managerial aspect of the current study, prior studies have indicated that the efficient and effective implementation of management practices for the most part has remained predominated by the human factor, and of which leadership competencies is of most vital consideration [ 10 ]. In various contexts, the effective implementation of leadership competencies has been found to have a significant impact on the overall organizational performance of any given firm [ 11 , 12 ]. In relevance, a consolidated view of the implementation of leadership competencies to mitigate the organizational complexities and enhance performance measures is yet to be evaluated [ 13 ]. It is very much expectant of the agile management practices to depict enhanced performance as a result of effective leadership competency mitigating the magnitude of dynamic organizational challenges. Considering which, the current study evaluated the moderating role of leadership competencies to observe the controlled impact of professional complexities and the delivered project performance. Therefore, filling in the existing conceptual knowledge gap indicated by prior researchers.

Furthermore, in specific to filling in the contextual research gap, the current study explored the implication of the targeted variables within the I.T sector of Pakistan, which itself has seen significant progression over the years.

The present study aims to accomplish the following research objectives:

• RO1 : Determine the effect of agile management practices on project performance .
• RO2 : Evaluate the mediating role of project complexity between agile management practices and project performance .
• RO3 : Gauge the moderating role of leadership competencies between agile management practices and project complexity .

The following sections of the study comprises of the detailed literature review of all the opted variables of the current study as well as their hypothetical development. Further, the methodological approach to collect the data from the targeted population is presented, which is then further statistically evaluated and explained in the results and analysis section. Followed to which, the deduction based upon the evaluated results are presented in the discussion. Lastly, the outcomes of the current research are deduced in the conclusion section.

Literature review

Agile management..

The concept of agile management got tossed in 1991 when the term agility was defined in a report by the Lacocca Institute, as “the ability to thrive in rapidly changing, fragmented markets”. As the concept evolved, agility was redefined as, “the state or quality of being able to move quickly in an easy fashion”. Therefore, for any firm labeled as agile is expectant to resolve unforeseeable challenges. Therefore, assuring the organizational sustainability in uncertain environments [ 14 , 15 ]. The concept of agile management is multifaceted in nature and the remnants of its implementation have been observed across various disciplines over last few decades. Most early implementation of agile management practices was embraced by the manufacturing sector. At time, agility was defined as, “the capability of an organization to meet changing market requirements, maximize customer service levels and resultantly minimize the cost of goods” [ 16 ]. The agile management practices for a decade and more remained implemented within the manufacturing industry only [ 17 ]. It wasn’t until the commercialization of the internet in 1995 when the agile management practices attained maturity in other industrial sectors as well, especially the software development [ 18 ]. To formalize the agility practices in terms of the software development process the OOPSA conference held in the same year played a momentous role when Ken Schwaber and Jeff Sutherland defined the cardinal principles for the implementation of agility on an organizational scale. Later, the agility saw minuscule implementation in the years to come, till 2001. It happened when various professionals, practitioners, and theorists came up with “Agile Manifesto”, which was mutually signed and published on the internet. The manifesto challenged the implications of traditionally followed management practices onto the project-related outcomes with a higher level of uncertainties. Further, in addition to declaring the traditional management practices misaligned towards the dynamically natured projects, the report emphasized the induction of agile management practices in such environments. Thus, effectively managing organizational objectives, minimizing project complexity, and delivering efficiency in terms of organizational performance [ 16 , 19 ].

To understand what made the implementation of agile management practices a success in the software industry as well as its spread across the globe on the exponential rate in contrast to any other industry, one has to take into consideration the following factors on which the dynamics of agile management rely onto and further draw a comparison of them with the traditionally followed management practices [ 2 , 20 ] (See Table 1 ).

• PPT PowerPoint slide
• PNG larger image
• TIFF original image

https://doi.org/10.1371/journal.pone.0249311.t001

The software industry has for most part evolved over the past 30 years. But the last decade has depicted a significant surge in the industry’s growth and its respective performance. The reason justifying the phenomena has been the broader application of agile management practices, that replaced the traditionally followed management practices over time. The earlier research has justified the execution of agility in terms of ensuring enhanced performance, and also have supported the fact that implementation of agility is most suitable for the business environs that are dynamic in nature. Since, it has very vividly been observed that the implementation of software project development requires the dynamic implementation of operational measures as the problems are evolving real-time, which justifies the complexity associated with the software industry. Considering which, the software development sector is a perfect fit to adapt agile management practices [ 5 ].

Apart from the software products and services, one of the major parts of the project development process is the interaction between the stakeholders which plays a pivotal in determining the performance of the project. Considering which, Uludag, Kleehaus [ 22 ] and Hobbs and Petit [ 23 ] in their respective studies indicated that agile management practices allow organizations for its internal stakeholders to communicate freely as well as maintain a consistent stream of feedback from the external stakeholders. Thus, assuring the regarding organization to achieve optimal performance levels.

Considering the ability of agile management practices to enable its utilizers to accomplish projects in a dynamic environment and be able to deliver optimized performance while considering its respective dimensions i.e., competency, flexibility, quickness, and responsiveness, the current study took into account the implementation of agile management practices in relation to all the aspects of performance.

• H1: Agile management practices will significantly impact the project performance, in a positive manner.

Project complexity.

Any given organization that functions onto various organizational factors either human or non-human operating in parallel to one another, is bound to face unexpected challenges to manage through and accomplish its goals. Considering which, the software industry has been the most critical one on the list [ 24 ]. It has been so because regardless of the business type, every operational entity is reliant on the software utilization either it is in form of communication, logistics, traveling, academia, and even fields as critical as healthcare. Therefore, justifying the software industry to be the one facing crucial levels of complexity [ 25 ].

Typically, for a large-scale operation with a higher magnitude of complexity, like software development, is often considered as a project rather than a routine-based operation/task, by most of the organizations. This demands a persistent application of relevant management practices under effective supervision to tackle the complexity.

For the successful accomplishment of a project, opting relevant management approach plays a pivotal role in tackling the complexities associated with the environment. Since only the right management approach can enable the managers to make correct calculations to allocate the right percentage of resources to the right places at the right time. Moreover, the application of a relevant management approach enables the mitigation of risk and the magnitude of projected losses [ 2 , 26 ].

Prior studies have indicated a directly proportionate relationship between the complexity and the respective performance of an organization and the projects associated with it. This suggests that if the complexities associated with any given project are not handled effectively on time, are probable to cause an escalation in the level of hindrances associated with the project and may even result in failure of the project itself [ 27 , 28 ].

Project complexity attributed to any given project is determined upon the variation in the number of tasks, their respective types, individuals deployed, and numerous other considerations. Considering which, effective prioritization of the entities involved, and the correct allocation of resources is necessary. All of which is only possible through the application of the relevant management approach [ 8 ].

Past decades have seen an evolution in terms of management practices and their respective application. Which have encouraged both academia as well as practitioners to extend the knowledge upon. As a matter of fact, among the two widely practiced project development management approaches i.e. waterfall and agile, it is the agile management approach that has proved itself to be more efficient to accomplish projects, across the world [ 29 ].

Considering which, Zhu and Mostafavi [ 8 ] in their study indicated the ability of agile management practices to manage through complex settings more effectively and efficiently. Thus, suggesting to lead the project towards better performance. Moreover, in another study Maylor and Turner [ 27 ] highlighted the aspect of stakeholder’s involvement in the development process, which justified the mitigation of project complexity to a greater extent. As agile management encourages the internal stakeholders of the project to seek continuous feedback from one another as well as from the clients throughout the process. Doing so reduces the amount of ambiguity from the development phase as much as possible and induce desired changes along the process. Thus, the finished project is much more of a reflection of the client’s expectations and assurance of enhanced performance. Moreover, in specific to the software industry the nature of projects is bound to change much more rapidly than any other industry, which classifies the software industry with the highest level of complexity attributed to it. For its resolution, the agile management approach suggests breaking down of complex scenarios into smaller tasks with reduced complexity. Thus, resulting in the effective and focused application of management practices, which would further result in mitigation of complexity associated with the project as well as elevated project performance [ 18 , 27 ].

Considering, the ability of agile management practices to mitigate the magnitude of complexity associated with the project and enhance the chances of the performance associated to the regarding project accomplish projects in a dynamic environment, the current study took into account the direct implementation of agile management practices in relation to the diminished project complexity. Moreover, the project complexity was evaluated in terms of a mediator.

• H2: Agile management practices will significantly impact the project complexity, in a negative manner.
• H3: Project complexity will significantly impact the project performance, in a negative manner.
• H4: Project complexity will significantly mediate the relationship between agile management practices and project performance.

Leadership competencies.

The opting of management practices is not enough for an organization to function properly. Rather it is the effective implementation of those defined policies that ensure the magnitude of performance delivered and subsequently the overall sustainability of an organization. For which, it is the human factor in terms of leadership, within an organization that contributes the most towards it. This is where leadership and its respective competencies come into play. Andriukaitienė, Voronkova [ 30 ] in their study defined project manager competence as a combination of knowledge (qualification), skills (ability to do a task), and core personality characteristics (motives, traits, self-concepts) that lead to superior results.

In the project management literature, few topics are too frequently discussed yet are very rarely agreed upon; such as the aspect of project performance [ 2 ]. The last two decades have extended the scope of project performance far beyond the measures of cost, time, and functionality. The project performance measures of today demand to fulfill the satisfaction criterion of the stakeholder associated with the given project, attainment of business/organizational goals, product success, and development of the team involved. All of which is very much reliant upon the effectiveness of the implied organizational practice under human supervision [ 31 ]. Refereed to which, Maqbool, Sudong [ 32 ] in their study identified the possible shortcoming that may hinder the performance associated to any given project. The findings identified the hindering effects as the ineffective management practice observed in the planning, organization, and controlling of the project. Furthermore, Alvarenga, Branco [ 33 ] identified various performance measures associated with well-executed projects. Overall, the findings reflected the leadership competency in terms of maintaining effective communication and problem solving resulted in enhanced project performance. While, the absence of leadership competency in terms of inadequate administration/supervision, human skills, and emotional influencing skills (IQ & EQ) resulted in declined performance or even failure in some cases. Ahmed and Anantatmula [ 34 ] in his study suggested that the manager’s perception of performance and belief in his/her ability can play a significant role in determining the performance delivered. Thus, deeming the leadership competency to play a pivotal role in the accomplishment of a project. Akin to which, Turner came up with the seven forces model to define the factors influencing the project’s performance. The model highlights the people as the cardinal force to drive the project towards accomplishment; which is only possible through leadership competencies, teamwork, and industrial relations. Hassan, Bashir [ 35 ] in their studies brought up the subject that despite the vast research on the project performance and its related measures the organizations still fail to satisfy its stakeholders. It was because most of the research done so far was considering time, cost, and quality as the only measure to determine the project performance delivered. Hassan, Bashir [ 35 ] and Maqbool, Sudong [ 32 ] indicated the criticality of including the human factor in terms of leadership competence/ability to determine the performance of the project. Zuo, Zhao [ 36 ] and Gunter [ 37 ] as well in their studies reviewed the impact of leadership’s competence and style to determine the project’s outcomes and concluded the fact that the existing literature has for most part overlooked the impact of leadership competence on the project’s performance. Therefore, to evaluate the controlling effect of leadership competency to observe change in the magnitude of the performance delivered, the current study proposed the following hypothesis (See Fig 1 ).

https://doi.org/10.1371/journal.pone.0249311.g001

• H5: Leadership competencies will significantly impact the project performance, in a positive manner.
• H6: Leadership competencies will significantly moderate the relationship between project complexity and project performance.

Research methodology

The survey questionnaire was composed of 48 items in total. To determine the application of agile management practices on the organizational level a 20 relevant items were adapted from the scale developed by Zhang and Sharifi [ 42 ]. The scale itself was based upon four dimensions i.e. ability, flexibility, quickness, and responsiveness. To determine the leadership competencies of managers on various hierarchical levels of an organization, an 10 items were adapted from the scale developed by Chung-Herrera, Enz [ 43 ]. The scale was composed of 8 unique dimensions i.e. self-management, strategic positioning, implementation, critical thinking, communication, interpersonal, leadership, and industry knowledge. To determine the overall magnitude of complexity associated with the project under study, 12 items were adapted from the scale developed by Xia and Lee [ 44 ]. To determine the overall performance of the undertaken projects, a 6 items scale developed by Yusuf, Sarhadi [ 45 ] was utilized in the current study. The responses were recorded upon the 5-Point Likert scale, which had (1) to refer to “Strongly Disagree” up to (5) referring to “Strongly Agree” [ 46 ].

The current study included the opinion of the respondents recorded in terms of quantitative scale. During the data collection process, no confidential information (personal/organizational) was inquired about. Also, the presented research did not categorize the involved workers in terms of race/ethnicity, age, disease/disabilities, religion, sex/gender, sexual orientation, or other socially constructed groupings. Therefore, COMSATS University Islamabad’s Ethics Review Committee declared the current study exempted from the requirement of consent from the respondents. Considering which, a total of 250 questionnaires were disseminated to survey the professionals of the Pakistani IT industry. By the end of the survey process, a total of 190 responses got collected. Thus, the overall response rate of the study was 76%. Further, 7% of the responses were discarded as a result of being incomplete or erroneous. Since both incomplete or redundant data can affect the results adversely [ 47 ]. Followed to the collection of data the next phase demanded the application of appropriate statistical tools and respective data analysis techniques to make deductions regarding the objectives of the study. For which the current study utilized the SmartPLS GmbH’s SMART Partial Least Squares (SMART PLS 3.0) to analyze the dataset. Various studies in recent years have utilized a similar tool and respective techniques to analyze the data and make respective deductions [ 48 , 49 ].

Statistical results & analysis

To begin with, the information was gauged to assess the instrument’s reliability and validity. Further, the instrument’s fitness was evaluated in terms of factor loadings. The results identified few unfit components associated with the variables under study. Suggested to which, the identified unfit components of the hypothesized model were then removed. Followed by which, the information was evaluated to gauge the direct and indirect effects of variables, in alignment with the hypothesized model. Finally, the hypothesized model was concluded upon the evaluation of the total impact of the predictor variables upon the dependent variable [ 50 , 51 ].

Demographical classification

The respondents of the study had variating attributions associated with them in terms of demographics. The current study classified the respondents in terms of age, tenure of employment, sector of employment, the status of employment, and the geographical location of their organization.

As a response to which 63.6 percent of employees were aged between 20–29 years, 21.6 percent were aged between 30–39 years, 10.8 percent were aged between 40–49 years and 4.0 percent were aged 50 years or above.

In specific to the tenure of employment or the managerial experience, 27.8 percent of respondents had an experience of less than 1 year, 20.5 percent had experience ranged between 1–2 years, 19.3 percent had experience ranged between 2–5 years, 9.1 percent had experience ranged between 5–10 years and, 23.3 percent had an experience of 10 years or over.

In terms of the employment sector, 53.9 percent of the individuals were employed in the public sector. While 46.1 percent of the individuals were employed in the private sector.

In terms of the geographical placement of the surveyed organizations, 12.5 percent of the firm were deployed in the Khyber Pakhtunkhwa and Gilgit Baltistan, 50 percent of the firm were deployed in Punjab, 25 percent of the firm were deployed in the Sindh and, 12.5 percent of the firm were deployed in the Balochistan. Thus, deeming the study to utilize the equivalently proportionate responses from each province, that were aligned with the proportion of firms in each province, nationwide.

Structural equation modeling

Structural equation modeling is a multivariate based statistical evaluation approach that is utilized to determine structural associations between the components of a hypothesized model [ 52 , 53 ]. The adapted approach is a combination of factor analysis and multiple- regression analysis. The current study took a two-stage approach to conduct SEM. The first stage involved the application of confirmatory factor analysis (CFA), which justified the consistency of the research instrument and its associated components/items. Followed by which, the research instrument was tested for its respective reliability and validity in the first stage of SEM, as commended by prior research [ 53 ]. The second stage of SEM involved the evaluation of measuring the magnitude of impact existent between the observed and latent variables under discussion. Which were further justifies in terms of their significance and their respective relevance in alignment to the hypothesized relationships [ 54 ].

SEM (stage 1).

To begin with, the first stage of the SEM tested the measurement model for its reliability, validity (convergent, discriminant), and consistency to the components towards the research instrument, utilizing the CFA approach. CFA is a commended approach to test adapted research instruments for their consistency [ 49 , 55 ].

Instrument’s reliability.

The reliability of a research instrument is its ability to give consistent results with negligible variation regardless of the environment it is utilized in. SEM utilizes Cronbach’s Alpha as the criterion of reliability associated with a research instrument. For a research instrument and its respective components to be reliable the value of Cronbach’s Alpha is commended to be higher than 0.70 [ 56 ]. Keeping that in view, the values of Cronbach’s Alpha associated with all the variables under study were above 0.70 (See Table 2 ). Thus, deeming the respective research instrument to be reliable.

https://doi.org/10.1371/journal.pone.0249311.t002

Instrument’s validity (convergent).

The validity of a research instrument is defined as its ability to measure the phenomena that it is supposed to measure. There are two types of validity i.e. convergent and discriminant [ 57 , 58 ]. The convergent validity associated with a research instrument is the measure to determine the relatability of research items to their respective variable. SEM utilizes Average Variance Extracted (AVE) as the criterion of validity associated with a research instrument. For a research instrument and its respective components to be convergently valid, the value of AVE is commended to be higher than 0.5 [ 49 , 59 ]. Keeping, that in view the values of AVE associated with all the variables under study were above 0.5 (See Table 3 ). Thus, deeming the respective research instrument to be convergently valid.

https://doi.org/10.1371/journal.pone.0249311.t003

Instrument’s validity (discriminant).

The discriminant validity associated with a research instrument is the measure to determine the magnitude of dissimilarity of research items associated with a variable towards the research items of the rest of the variables under study. SEM utilizes Fornell-Larcker Criterion as the criterion of discriminant validity associated with a research instrument. For a research instrument and its respective components to be discriminately valid, the correlative value of Fornell-Larcker Criterion of a variable with its components is commended to be higher than the correlative value of other variables in the study [ 48 , 49 ]. Keeping, that in view the values of the Fornell-Larcker Criterion associated with all the variables under study were comparatively higher than the correlative values of other variables in the study (See Table 4 ). Thus, deeming the respective research instrument to be discriminately valid.

https://doi.org/10.1371/journal.pone.0249311.t004

Another measure to determine, the discriminant validity associated to a research instrument is the Cross Loadings. For a research instrument and its respective components to be discriminately valid, the correlative values of Cross Loadings of the items of a variable are commended to be higher than the correlative values of similar items with other variables in the study [ 49 ]. Keeping, that in view the values of Cross Loadings associated to all the items of the variables under study were comparatively higher than the correlative values of similar items with rest of the variables in the study (See Table 5 ). Thus, deeming the respective research instrument to be discriminately valid.

https://doi.org/10.1371/journal.pone.0249311.t005

Lastly, in terms of evaluating the discriminant validity, the Heterotrait-Monotrait Ratio (HTMT) is considered as the most precise measurement. HTMT is based upon a higher level of specificity that is ranged between the measurement precision of 97%-99%. On the contrary, the measures of Cross Loadings followed by the Fornell-Larcker Criterion can only depict a measurement precision ranged between 0.00%-20.82% [ 49 , 60 ]. In terms of HTMT, for a research instrument to be valid, the correlational terms must be valued lower than the 0.90. Keeping that in view, the correlation values associated with all the variables were below 0.90 (See Table 6 ). Thus, deeming the respective research instrument to be discriminately valid.

https://doi.org/10.1371/journal.pone.0249311.t006

Multi-collinearity.

Multi-Collinearity is the state of higher correlation existent between the variables and the indicators associated with them. Which can further lead to unreliable statistical projections and inferences. To test a variable and its respective indicators for collinearity, the proposed criterion of VIF is followed. The referred criterion suggests for all the indicators of the regarding variable to have a VIF value lower than 5 to be fit in terms of collinearity measure [ 48 ]. Keeping that in view all the indicators associated with the variables under study were found to have VIF value under 5 (See Table 7 ).

https://doi.org/10.1371/journal.pone.0249311.t007

Factor loadings.

Followed to fulfilling the criterion of the research instrument’s reliability and validity the respective components must fulfill the criterion of factor analysis that is measured in terms of Factor Loadings. Factor Loadings are determinant of the variability and correlation associated with the items of the observed variables under study. For an item associated with a variable to fulfill the Factor Loading criterion, must be valued above 0.7 [ 61 , 62 ]. In comparison to which, selective items associated with agile management (AM13) and project complexity (PC2, PC4) were found below the commended threshold value (See Table 8 ). Thus, these items were removed from the measurement model, to enhance the overall fit.

https://doi.org/10.1371/journal.pone.0249311.t008

SEM (stage 2).

After the deletion of unfit components of the measurement model, the second stage involved the reassessment of the measurement model. The model was retested in terms of Factor Loadings, which depicted all of the values to be ranged above the minimum threshold of 0.70 [ 62 ] (See Table 9 ).

https://doi.org/10.1371/journal.pone.0249311.t009

Path coefficients.

After conforming to the component fitness criterion, the structural model was evaluated in terms of the magnitude of the effect the observed variables had on the latent variables. The said magnitude was evaluated utilizing the measure of Path Coefficients. The value associated to the measure of path coefficient varies between ±1, which suggests the positive and negative relationship between the variables under consideration [ 48 , 63 , 64 ]. The effect of agile management practices over the project performance was valued at 0.473. The effect of agile management practices over the project complexity was valued as 0.703. The effect of leadership competencies over the project performance was valued at 0.664. Lastly, the effect of project complexity over the project performance was valued at 0.149. The evaluated effects were further justified in terms of the level of significance attributed to them i.e. p-value ≤ 0.05. Since all the results fulfilled the significance criterion, for which the evaluated effects were considered as accepted (See Table 10 ). Thus, justifying the following hypothesized relationships between the variables under study:

https://doi.org/10.1371/journal.pone.0249311.t010

Coefficient of determination ( r 2 ).

Coefficient of Determination ( r 2 ) is representative of the amount of variance the exogenous variable/s can cause in the associated endogenous variable/s. The value of the Coefficient of Determination (r2) varies between 0–1. The higher the value of r 2 the higher the magnitude of impact implied by the exogenous variables [ 65 ]. Keeping that in view, the exogenous variables of the study i.e. (Agile Management, Project Complexity, and Leadership Competencies) impacted the endogenous variable i.e. (Project Performance) with an r 2 valued at 0.582. Thus, justifying 58.20% of the variance explained (See Table 11 ).

https://doi.org/10.1371/journal.pone.0249311.t011

Effect size ( f 2 ).

Effect Size ( f 2 ) is representative of the magnitude of effect an exogenous variable can have on an endogenous variable. The respective magnitude of the effect is classified into three tiers. For a given relationship the values of Effect Size ( f 2 ) ranged between 0.02–0.14 are attributed as a small effect. Likewise, values ranged between 0.15–0.35 are attributed as a medium effect, and values ranged 0.36 and above are attributed as a large effect [ 48 , 51 ]. Keeping that in view, both the agile management and project complexity had a medium impact. While leadership competencies and project complexity had a large effect on their respective dependent variables. (See Table 12 ).

https://doi.org/10.1371/journal.pone.0249311.t012

Mediation analysis.

A mediatory variable of the study is known to add an explanation or justify the effect of an exogenous variable over an endogenous variable. The current study took project complexity as a mediator to explain the effect of agile management over the project performance. SmartPLS explains the mediation in terms of Indirect Effects and its respective significance [ 66 , 67 ]. Keeping, that in view the hypothesized mediation was approved (See Table 13 ). Thus, accepting the following hypothesis:

https://doi.org/10.1371/journal.pone.0249311.t013

Moderation analysis.

A moderating variable of the study is known to control the magnitude of the effect of an exogenous variable over an endogenous variable. This effect can be tilted either positively or negatively in presence of a moderator. The current study took leadership competencies as a moderator to control the effect of project complexity over the project performance. SmartPLS explains the moderation in terms of inducing a product indicator term in the structural model and its respective significance [ 68 ]. Keeping, that in view the hypothesized moderation was approved (See Table 14 ). Thus, accepting the following hypothesis:

https://doi.org/10.1371/journal.pone.0249311.t014

Results summary.

The proposed hypotheses for the current study were accepted while considering their significance. The respective summary is depicted in the following Table 15 .

https://doi.org/10.1371/journal.pone.0249311.t015

To begin with, the first research hypothesis stated, “Are the agile management practices a significant predictor of project performance?”. Keeping that in view, the current study depicted a significantly positive influence of implementing agile management practices onto the overall performance of the projects undertaken. This suggests, that resolving a project into smaller functional proportions and responding timely is a commendable approach to enhance the performance of the undertaken projects.

Furthermore, the statistical findings in accordance with the dimensions of the agile management the significance of the relationship emphasized that an organization must undertake only the projects that it is competent enough to accomplish. Moreover, for a project that is undertaken, must be resolved down to work units that can be matched with the competency level of the employed individual. This would enable them to achieve the targeted goals with fewer hurdles faced along the process. Similar results were concluded by Alvarenga, Branco [ 33 ] in their study conducted on 257 project managers; each having an extensive experience of over 10 years. As it was indicated that it is the competency associated to the employed individuals in an organization that assures the efficient and effective execution of organizational task and result in accomplishment of the undertaken projects. Followed to which, agile management commends the adaption of flexibility in the project development process that allows the project team to incorporate the changes more easily than the traditional implementation of the projects. Similarly, the loss incurred during the development process is relatively less. Since the failure is often observed in one or a few modules at a time, which doesn’t affect the rest of the development process in any way. Most importantly, agile management is most responsible for responding quickly to the areas of projects that demand prioritized completion or technical handling. The respective findings were found in alignment to the study conducted by Serrador and Pinto [ 5 ] on 1002 projects deployed across various nations, that depicted a similar notion of a positive impact of implementing agile management to attain enhanced organizational outcomes. In another mixed-mode study conducted by Drury-Grogan [ 69 ] on various teams utilizing agile tools in the I.T sector as well suggested that application of the referred tools resulted in enhancing the success associated with the regarding projects.

The second research hypothesis stated, “Are the agile management practices a significant predictor of project-related complexities?” Keeping that in view, the current study depicted a significantly negative influence of implementing agile management on the project complexity. This suggests that the implementation of agile management enabled the regarding project managers to be able to effectively foresee the undertaken projects to a greater extent by adapting agile management practices than they would otherwise have had by adapting traditional management practices. The respective findings were found in alignment with the study conducted by Sohi, Hertogh [ 9 ] on 67 projects of complex nature, depicted that in a hybrid system with agile management practices coupled with traditional management approach was able to mitigate the magnitude of complexity faced by the regarding firms. In another subjective study conducted by Maylor and Turner [ 7 ] projected deduction being based upon 43 workshops and the opinion of 1100 managers. The results suggested an agile management approach as possibly the most effective approach to diminish the project complexity to commendable levels. Akin to which, in an extensive literature review conducted by Bergmann and Karwowski [ 70 ] also concluded the similar findings that adaptation of agile management is very effective in terms of mitigating the project related complexities and a accomplishing project outcomes.

The third research hypothesis stated, “Is the project complexity a significant predictor of project performance?” Keeping that in view, the current study depicted a significantly negative influence of project complexity on the overall performance of the projects. This suggests that the uncertainties faced by the project manager may hinder the accomplishment of the project. This would further possibly result in causing unnecessary delays, financial losses, overused employee efforts, working environment with moral, quality compromises, and unsatisfied clients. The respective findings were found in alignment with the study conducted by Floricel, Michela [ 71 ] on 81 projects deployed 5 across continents, depicted the possible negative impact of complexities on the overall performance of the organizations; that may be faced at each step of the development process. In another hybrid study conducted by Zhu and Mostafavi [ 8 ] on various senior project managers employed in the construction sector as well opinionated that complexities associated with organizations can deter the performance observed across their respective projects. Likewise, Luo, He [ 72 ] compile the opinion of 245 project managers that expressed the fact that project complexity can jeopardize the accomplishment of desired organizational outcomes. Therefore, their mitigation is a necessity for an organization to thrive.

The fourth research hypothesis stated, “Are leadership competencies a significant predictor of project performance?” Keeping that in view, the current study depicted a significant relationship between leadership competencies and project performance. This suggests that effective leadership can play a pivotal role in enabling an organization to attain the desired performance targets associated to its respective project. The respective findings were found in alignment to the study conducted by Ahmed and Anantatmula [ 34 ] on 286 project managers serving various construction firms in Pakistan, suggested leadership competencies be an effective measure to enhance the performance of the projects it is utilized onto. In another hybrid study conducted by Berssaneti and Carvalho [ 73 ] on 336 project managers deployed across various Brazilian firms opinionated that effective supervision and managerial support can prove itself to be a potential factor in enabling a firm to deliver desired outcomes.

The fifth research hypothesis stated, “Does the project complexity mediate the relationship between agile management practices and project performance?” Keeping that in view, the current study depicted a significant relationship between agile management and project performance while considering leadership competencies as a moderator. This suggests that effective implementation of agile management practices in a project can prove themselves to be effective in elevating project performance. Though the magnitude of complexity associated with the project can explain the possible decline observed in project performance; regardless of the management practices being observed. Though the observed decline can be minimized to a laudable extent through the utilization of agile management practices. The respective findings were found in alignment with an in-depth correlational study conducted by Sohi, Hertogh [ 9 ] on 67 project managers supervising various projects. The results suggested that inducing agile management practices within any compatible system can enable an organization to manage through its professional challenges which can possibly lead an organization to perform better.

The sixth research hypothesis stated, “Do the leadership competencies moderate the relationship between agile management practices and project performance?” Keeping that in view, the current study depicted a significant relationship between project complexity and project performance while considering leadership competencies as a moderator. Which suggests that effective implication of human factor in terms of leadership competencies can play a vital role in mitigating the hindrances faced during the project development process and can further result in enhanced performance. On the contrary, the absence of required leadership competencies can result in augmentation of adversities that may lead to a decline in the project performance. The respective findings were found in alignment to a mixed-mode study conducted by Aurélio de Oliveira, Veriano Oliveira Dalla Valentina [ 74 ] on 32 highly skilled and influential project managers in the field of R&D; who have served various forms globally. The correlational study depicted a possibly potential impact of an appropriate leadership approach to resolve organizational situations and deliver targeted performance.

Considering the hypothetical contemplations of the current study, various deductions have been made. To begin with, the implementation of agile management practices in the Pakistani I.T industry proves itself to be effective in terms of enhancing the overall performance of the undertaken projects. Thus, ensuring the sustainability of organizations in the industry. Moreover, it was observed that agile management practices enabled its utilizers to cope up with the complexities, by breaking down tasks into smaller work units and implementing the supervision on a horizontal scale rather than top-down. This approach not only made managing tasks effectively and efficiently but also made the decision making swift. Though it was observed that the organizations that weren’t able to take on the implementation of agile management practices on a full scale, faced complexities in various organizational terms, that would lead to declined performance. In addition to the mitigation of complexities through the implementation of agile management practices, it was the effective consideration of human factors in terms of leadership competencies that extended the reduction of organizational complexities and upscaled the magnitude of performance delivered.

The current study offers a pathway to understanding the application of agile management practices in the IT sector. Though it faces various shortcomings in both contextual and conceptual manner, which can further serve as a pathway to future researchers and professionals to look into and extend the knowledge pool.

In conceptual terms, the current study only took into account one mediatory variable i.e., project complexity to explain the implications of agile management onto the project performance. Akin to which, only one moderating variable was considered to evaluate the variability in the magnitude of project performance. Both of these are not enough of a consideration to depict the full potential of application of agile management practices in determining the project performance. Referred to which, it is commended for the future researchers and professionals to look into considering other variables that can explain the phenomena of agile management to variate the magnitude of project performance delivered. In alignment to which, it will also be interesting to see the implementation of agile management to enhance the organizational accomplishments such as, attaining competitive advantage, innovation, industrial sustainability, and more.

In contextual terms, the current study has targeted the IT sector of Pakistan; a developing nation. Since other industries as well are realizing the necessity of agile management and embracing its practices, it will be interesting to see the application of similar study in other developing nations, as well as other industrial sectors.

Supporting information

S1 appendix..

https://doi.org/10.1371/journal.pone.0249311.s001

S1 Dataset.

https://doi.org/10.1371/journal.pone.0249311.s002

• View Article
• Google Scholar
• 2. Kerzner H, Kerzner HR. Project management: a systems approach to planning, scheduling, and controlling: John Wiley & Sons; 2017.
• 3. Langley MA. Success Rates Rise: Transforming the high cost of low performance. In: PMI, editor. Pulse of the Profession2017. p. 32.
• 4. Ambler SW. 2018 IT Project Success Rates Survey Results. Ambysoft, 2018.
• 12. Northouse PG. Leadership: Theory and practice: Sage publications; 2018.
• PubMed/NCBI
• 14. Denning S. How major corporations are making sense of Agile. Strategy & Leadership. 2018.
• 15. Denning S. Succeeding in an increasingly Agile world. Strategy & Leadership. 2018.
• 16. Levy R, Short M, Measey P, editors. Agile Foundations: Principles, practices and frameworks2015: BCS.
• 18. Abrahamsson P, Salo O, Ronkainen J, Warsta J. Agile software development methods: Review and analysis. 2017.
• 19. Marcus Ries DS. Agile Project Management, A Complete Beginner’s Guide To Agile Project Management: Ries Publications, New York; 2016.
• 20. Turk D, France R, Rumpe B. Limitations of agile software processes. Third International Conference on Extreme Programming and Flexible Processes in Software Engineering. 2014:43–6.
• 21. Kerzner H. Project management: a systems approach to planning, scheduling, and controlling: John Wiley & Sons; 2017.
• 22. Uludag Ö, Kleehaus M, Caprano C, Matthes F, editors. Identifying and structuring challenges in large-scale agile development based on a structured literature review. 2018 IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC); 2018: IEEE.
• 27. Maylor H, Turner N. Understand, reduce, respond: project complexity management theory and practice. International Journal of Operations & Production Management. 2017.
• 28. Morcov S, Pintelon L, Kusters RJ. Definitions, characteristics and measures of IT project complexity-a systematic literature review. International Journal of Information Systems and Project Management. 2020.
• 31. Larson EW, Gray CF, editors. A Guide to the Project Management Body of Knowledge: PMBOK ( ® ) Guide2015: Project Management Institute.
• 33. Alvarenga JC, Branco RR, Guedes ALA, Soares CAP, e Silva WdS. The project manager core competencies to project success. International Journal of Managing Projects in Business. 2019.
• 36. Zuo J, Zhao X, Nguyen QBM, Ma T, Gao S. Soft skills of construction project management professionals and project success factors. Engineering, Construction and Architectural Management. 2018.
• 37. Gunter RC. Emotional Intelligence and Its Relationship to Project Manager Leadership Competencies and Project Success: Saint Leo University; 2020.
• 38. Association PSH. P@SHA IT Industry Report 2017. Report. 2017 Contract No.: 1.
• 39. Neuman WL. Understanding research: Pearson; 2016.
• 41. Hox JJ, Moerbeek M, van de Schoot R. Multilevel analysis: Techniques and applications: Routledge; 2017.
• 47. Heeringa SG, West BT, Berglund PA. Applied survey data analysis: Chapman and Hall/CRC; 2017.
• 50. Ringle CM, Da Silva D, Bido DdS. Structural equation modeling with the SmartPLS. 2015.
• 51. Ringle C, Wende S, Becker J. SmartPLS—Statistical Software For Structural Equation Modeling. 2017.
• 52. Bowen NK, Guo S. Structural equation modeling: Oxford University Press; 2011.
• 53. Klem L. Structural equation modeling. 2000.
• 55. Byrne BM. Structural equation modeling with AMOS: Basic concepts, applications, and programming: Routledge; 2016.
• 56. Gliem JA, Gliem RR, editors. Calculating, interpreting, and reporting Cronbach’s alpha reliability coefficient for Likert-type scales2003: Midwest Research-to-Practice Conference in Adult, Continuing, and Community Education.
• 60. Ab Hamid M, Sami W, Sidek MM, editors. Discriminant Validity Assessment: Use of Fornell & Larcker criterion versus HTMT Criterion. Journal of Physics: Conference Series; 2017: IOP Publishing.
• 63. Hair JF, Black WC, Babin BJ, Anderson RE, Tatham RL. Multivariate data analysis: Prentice hall Upper Saddle River, NJ; 1998.
• 64. Hair Jr JF, Hult GTM, Ringle C, Sarstedt M. A primer on partial least squares structural equation modeling (PLS-SEM): Sage Publications; 2016.
• 65. Di Bucchianico A. Coefficient of determination (R2). Encyclopedia of Statistics in Quality and Reliability. 2008.
• 68. Bae B. Analyses of moderating and mediating effects with SPSS/Amos/LISREL/SmartPLS. Seoul: Chungram Publishing. 2015.
• 70. Bergmann T, Karwowski W, editors. Agile project management and project success: A literature review. International Conference on Applied Human Factors and Ergonomics; 2018: Springer.