Project management methodology selection model

Ing. Jan Čech

absolventská práce studenta CŽV

COMPARISON OF PROJECT MANAGEMENT METHODOLOGIES: TRADITIONAL VS AGILE

Abstract:

This thesis examines the differences and applications of traditional, Agile, and hybrid project management methodologies. Through empirical research and the Analytic Hierarchy Process (AHP), it identifies which methodology is most effective for varying project requirements and team dynamics. The study finds that most project managers prefer Agile or hybrid methods, while hybrid methodologies, blending structured planning and iterative processes, provide more complex solution. Additionally, the integration of AI can enhance documentation and accuracy. The research provides a framework and tools to help organizations choose the appropriate project management methodology for successful project outcomes.

Abstract:

This thesis examines the differences and applications of traditional, Agile, and hybrid project management methodologies. Through empirical research and the Analytic Hierarchy Process (AHP), it identifies which methodology is most effective for varying project requirements and team dynamics. The study finds that most project managers prefer Agile or hybrid methods, while hybrid methodologies, blending structured planning and iterative processes, provide more complex solution. Additionally, the integration of AI can enhance documentation and accuracy. The research provides a framework and tools to help organizations choose the appropriate project management methodology for successful project outcomes.

Keywords

Hybrid Project Management, Team Dynamics, Agile Project Management, Project Management Methodologies, Traditional Project Management, Analytic Hierarchy Process (AHP), Empirical Research, Project Success, Decision-Making Tools

Keywords

Project Management Methodologies, Traditional Project Management, Agile Methodologies, Hybrid Project Management, Analytic Hierarchy Process (AHP), Empirical Research, Team Dynamics, Project Success, Making Tools

Language used: English

Date on which the thesis was submitted / produced: 31. 5. 2024

Thesis defence

• Supervisor: Ing. Tomáš Malčic, Ph.D.
• Reader: Pavel Wicher, Ph.D.

ŠKODA AUTO a.s.

Škoda Auto Vysoká škola o.p.s.

celoživotní:
Master of Business Administration