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Description
Project management has been exercised from history's early stages to concurrent practices today. It has evolved from the early stages of the Gantt chart and five primary principles to well-renowned project management methodologies such as Waterfall and Agile. This literature review focuses on comprehending four project management methodologies (Waterfall, Agile, Kanban, and Scrum), learning their criteria and frameworks, and their application in a specific STEM environment when applicable. This work reviews the recent research literature about these four methods. An overview of project management certificates and guidelines is covered as well. Waterfall is known to be a traditional method, having linear and sequential phases to complete a project. Agile, on the other hand, focuses on an iterative cycle while prioritizing customer involvement. Kanban and Scrum, being derivatives of the Agile methodology, focus on visualization as a main communication platform and Sprint meetings, respectively. The results from this study show that the project’s environment is significant alongside the execution of the project management methodology. Further research hopes to focus more on differing STEM environments such as electrical engineering and biological sciences.
Publisher Location
Las Vegas (Nev.)
Publication Date
Fall 11-22-2024
Publisher
University of Nevada, Las Vegas
Language
English
Keywords
Waterfall; Agile; Kanban; Scrum; Project methodologies
Disciplines
Construction Engineering and Management | Management Sciences and Quantitative Methods
File Format
File Size
561 KB
Recommended Citation
Henriquez, Yessenia, "Beyond the Waterfall: a Review of Project Management Methodologies in Stem" (2024). Undergraduate Research Symposium Posters. 223.
https://digitalscholarship.unlv.edu/durep_posters/223
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IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/
Included in
Construction Engineering and Management Commons, Management Sciences and Quantitative Methods Commons
Comments
Mentor: Brian O'Toole