A Correlational Study on Project Management Methodology and Project Success

Author:

Pace Michael1

Affiliation:

1. Executive Professor, Department of Management , Texas A&M University , 410 Wehner, 210 Olsen Blvd, College Station , TX, USA .

Abstract

Abstract This non-experimental correlational study extends previous research investigating the relationship between project management methodology and reported project success, as well as the moderating variables of industry and project manager experience. The sample included North American project managers with five years’ experience, 25 years of age or older, and experience with multiple project management methodologies. The survey instrument consisted of 58 questions, utilizing a 5-point Likert scale to record responses. The survey contained three sections, including demographic information, questions related to a successful project, and questions related to a less-than successful (failed / challenged) project. 367 usable responses were received. The examination of the constructs included Pearson’s correlation coefficient as well as linear regression to determine the impact of moderating variables. Results indicated that project management methodology has a weak correlation with reported project success, and this correlation is not moderated by industry nor project manager experience. The results did not align with previously conducted studies, illustrating a need to continue the study of methods impacting success including investigating additional moderating variables.

Publisher

Engineering, Project, and Production Management (EPPM)

Subject

Mechanical Engineering,Engineering (miscellaneous),Business, Management and Accounting (miscellaneous)

Reference76 articles.

1. Aga, D. A., Noorderhaven, N., and Vallejo, B. (2016). Transformational leadership and project success: The mediating role of team-building. International Journal of Project Management, 34, 806-818. doi:10.1016/j.ijproman.2016.02.01210.1016/j.ijproman.2016.02.012

2. Alaa, G. and Fitzgerald, G. (2013). Re-conceptualizing agile information systems development using complex adaptive systems theory. Emergence: Complexity and Organization, 15(3), 1-23. Retrieved from https://www.semanticscholar.org/paper/Reconceptualizing-Agile-Information-Systems-Devel-Alaa-Fitzgerald/d2cb7af5bd9889b27b3b294d6246ccd0d01fcdb9

3. Allen, M., Alleyne, D., Farmer, C., McRae, A., and Turner, C. (2014). A framework for project success. Journal of Information Technology and Economic Development, 5(2), 1-17. Retrieved from http://www.gsmiijgb.com/Documents/JITED%20V5%20N2%20P01%20Mark%20Allen%20-Framework%20for%20Project%20Success.pdf

4. Allen, W. (2016). Complicated or complex-Knowing the difference is important. Retrieved from http://learningforsustainability.net/post/complicatedcomplex/.

5. Augustine, S. and Cuellar, R. (2006). The lean-agile PMO: Using lean thinking to accelerate project delivery. Cutter Consortium, 7(10), 1-24. Retrieved from http://davidfrico.com/augustine06.pdf

Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Evaluating a project management methodology to improve project performance;International Journal of Managing Projects in Business;2024-05-28

2. Customising Hybrid project management methodologies;Production Planning & Control;2024-05-07

3. The Impact of Project Management Tools on Project Results: Evaluation of a Survey Among Managers Leading International Development Projects for four selected Central and Eastern European Donors;Review of Economic Perspectives;2023-12-01

4. Examining the Impact of Team Dynamics in Agile Project Management Success in Software Development: A Systematic Literature Review;2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS);2023-09-07

5. Mining Project Failure Indicators From Big Data Using Machine Learning Mixed Methods;International Journal of Information Technology Project Management;2023-02-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3