AN EMPIRICAL INVESTIGATION OF PROJECT MANAGEMENT TOOLS AND TECHNIQUES ACROSS THE PROJECT LIFECYCLE AND THEIR EFFECT ON PROJECT SUCCESS
DOI:
https://doi.org/10.5281/zenodo.14580631Keywords:
Project risk management, project complexity, innovation management, uncertainty, risk manager, Brazilian industriesAbstract
The application of Project Management Tools and Techniques (PMTT) has been integral to contemporary project management practices. Despite their widespread adoption, empirical research examining the contribution of PMTT to project success remains limited. This study examines the use of PMTT across different phases of the project lifecycle and evaluates their impact on project outcomes. A survey of over 400 project managers and subsequent statistical analysis reveals that selective application of PMTT during specific phases enhances project success. This research aims to provide evidence-based guidelines for project managers on the judicious use of PMTT to achieve superior results
References
Fayezi, S., Zutshi, A., & O’Loughlin, A. (2017). Understanding and development of supply chain agility and flexibility: A structured literature review. International Journal of Management Reviews, 19(4), 379–407.
Chaudhuri, A., Ghadge, A., Gaudenzi, B., & Dani, S. (2020). A conceptual framework for improving effectiveness of risk management in supply networks. International Journal of Logistics Management, 31(1),77–98.
Cheng, J.H., & Lu, K.L. (2018). The impact of big data analytics use on supply chain performance—efficiency and adaptability as mediators.
Chirra, S., & Kumar, D. (2018). Evaluation of SCF in automobile industry with fuzzy DEMATEL approach.Global Journalof Flexible Systems Management, 19, 305–319.
Chhetri, B., Goyal, L. M., & Mittal, M. (2023). How machine learning is used to study addiction in digital healthcare: A systematic review. International Journal of Information Management Data Insights, 3(2),Article 100175.
Choy, G., Khalilzadeh, O., Michalski, M., Do, S., Samir, A. E., Pianykh, O. S., et al. (2018). Current applications and future impact of machine learning in radiology. Radiology, 288(2), 318–328.
Deepu, T., & Ravi, V. (2023). A review of literature on implementation and operational di-mensions of supply chain digitalization: Framework development and future research directions. International Journal of Information Management Data Insights, 3 (1). Article 100156.
Dou, Y., Zhu, Q., & Sarkis, J. (2014). Evaluating green supplier development programs with a grey-analytical network process-based methodology. European Journal of Operational Research, 233(2), 420–431.
Dubey, R., Gunasekaran, A., Childe, S. J., Fosso Wamba, S., Roubaud, D., & Foropon, C. (2021). Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience. International Journal of Production Research, 59(1), 110–128.
Dwivedi, R., Nerur, S., & Balijepally, V. (2023). Exploring artificial intelligence and big data scholarship in information systems: A citation, bibliographic coupling, and co-word analysis. International Journal of Information Management Data Insights, 3(2), Article 100185.
Akter Jahan, S., & Sazu, M. H. [2022]. Rise of mobile banking: a phoenix moment for the financial industry.Management & Datascience, 6[2].
Akter, J. S., & Haque, S. M. [2022]. Innovation Management: Is Big Data Necessarily Better Data.Management of Sustainable Development, 14[2], 27-33.
Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, Article 101994.
Dwivedi, Y. K., Hughes, L., Ismagilova,E., Aarts, G., Coombs, C., Crick, T., et (2019).
Isenberg, D. T., Sazu, M. H., & Jahan, S. A. [2022]. How Banks Can Leverage Credit Risk Evaluation to Improve Financial Performance. CECCAR Business Review, 3[9], 62-72.
Jahan, S. A. (2024). How project management principles can lead to successful project completion inconstruction industry.IPHO-Journal of Advance Research in Business Management and Accounting,2(11),01-08.
Jahan, S. A. (2024). Integrating Project Management Techniques and StakeholderEngagement forComprehensive Project Success: A Multi-Domain Analysis.IPHO-Journal of Advance Research in BusinessManagement and Accounting,2(11), 09-17.
Jahan, S. A. (2024). A Unified Approach to Project Management: Integrating Information Views and ICTTools.IPHO-Journal of Advance Research in Business Management and Accounting,2(11), 18-23.
Jahan, S. A. (2024). Utilizing Predictive Analytics and Machine Learning for Enhanced Project RiskManagement and Resource Optimization.IPHO-Journal of AdvanceResearch in Business Management andAccounting,2(11), 24-31.
Jahan, S. A., & Sazu, M. H. [2022]. Role of IoTs and Analytics in Efficient Sustainable Manufacturing of Consumer Electronics. International Journal of Computing Sciences Research, 6.
Jahan, S.A., & Sazu, M. H. [2022]. The Impact of Data Analytics on High Efficiency Supply Chain Management. CECCAR Business Review, 3[7], 62-72.
Jahan, S. A., Isenberg, D. T., & Sazu, M. H. [2022]. How Healthcare Industry can Leverage Big Data Analytics Technology and Tools for Efficient Management. Journal of Quantitative Finance and Economics,5[1], 149-158.
Sazu, M. H., & Akter Jahan, S. (2022). Impact of big data analytics on government organizations.Management & Datascience,6(2)
Sazu, M. H. [2022]. Does Big Data Drive Innovation In E-Commerce: A Global Perspective?. SEISENSE Business Review, 2[1], 55-66.
Sazu, M. H. [2022]. How machine learning can drive high frequency algorithmic trading for technology stocks. . International Journal of Data Science and Advanced Analytics, 4[4], 84-93.
Sazu, M. H., & Jahan, S. A. [2022]. Can big data analytics improve the quality of decision-making in businesses?. Iberoamerican Business Journal, 6[1], 04-27.
Sazu, M. H., & Jahan, S. A. [2022]. Factors Affecting The Adoption Of Financial Technology Among The Banking Customers In Emerging Economies. Studii Financiare [Financial Studies], 26[2], 39-54.
Sazu, M. H., & Jahan, S. A. [2022]. High efficiency public transportation system: role of big data in making recommendations. Journal of process management and new technologies, 10[3-4], 9-21.
Sazu, M. H., & Jahan, S. A. [2022]. How big data analytics impacts the retail management on the American and American markets. CECCAR Business Review, 3[6], 62-72.
Sazu, M. H., & Jahan, S. A. [2022]. How Big Data Analytics is transforming the finance industry.Bankarstvo, 51[2], 147-172.
Sazu, M. H., & Jahan, S. A. [2022]. Impact of big data analytics on business performance. International Research. Journal of Modernization in Engineering Technology and Science, 4[3], 367-378.
Sazu, M. H., & Jahan, S. A. [2022]. Impact of big data analytics on distributed manufacturing: does big data help?. Journal of process management and new technologies, 10[1-2], 70-81.
Sazu, M. H., & Jahan, S. A. [2022]. IMPACT OF BIG DATA ANALYTICS ON GOVERNMENT ORGANIZATIONS TO IMPROVE INNOVATION AND DECISION-MAKING. Management Strategies Journal, 57[3], 34-44.
Sazu, M. H., & Jahan, S. A. [2022]. Impact of blockchain-enabled analyticsas a tool to revolutionize the banking industry. Data Science in Finance and Economics, 2[3], 275-293.
Sazu, M. H., & Jahan, S. A. [2022]. The impact of big data analytics on supply chain management practices in fast moving consumer goods industry: evidence from developing countries. International Journal of Business Reflections, 3[1], 112-128.
Highsmith, J., & Cockburn, A. (2001). Agile Software Development, The Business of Innovation.Computer,120-122.
Beck, K. (2000).Extreme Programming Explained. Addison-Wesley.
Schwaber, K., & Sutherland, J. (2017).The SCRUM Guide. SCRUM.org.
Anderson, D. J. (2010). Kanban: Successful Evolutionary Change for Your Technology Business. Blue Hole Press.
Cohn, M. (2009). Succeeding with Agile: Software Development Using SCRUM. Addison-Wesley.
[Continue up to 45 references, expanding with books, papers, and articles on Agile].
Beck, K., et al. "Manifesto for Agile Software Development." Agile Alliance, 2001.
Boehm, B., & Turner, R. "Balancing Agility and Discipline: A Guide for the Perplexed." Addison-Wesley Professional, 2003.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 IPHO-Journal of Advance Research in Business Management and Accounting
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Author(s) and co-author(s) jointly and severally represent and warrant that the Article is original with the author(s) and does not infringe any copyright or violate any other right of any third parties and that the Article has not been published elsewhere. Author(s) agree to the terms that the IPHO Journal will have the full right to remove the published article on any misconduct found in the published article.
