2023 | ||
Thursday, August 10th | ||
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12:00 AM |
A Survey of Technology Selection Approaches in Data Science Projects Christian Haertel, Otto-von-Guericke University 12:00 AM |
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12:00 AM |
Agile CRISP-DM for Analytics Projects: Understanding Diabetes Treatment Using fsQCA Qin Weng, Baylor University 12:00 AM |
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12:00 AM |
Balancing Agility and Hierarchical Culture through Leadership Sensemaking Peng Xu, University of Massachusetts Boston 12:00 AM |
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12:00 AM |
Exploring Hybrid Project Management Methodologies and Selection Processes April Reed, ECU 12:00 AM |
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12:00 AM |
IT Project Selection and Organisational Agility – An Integrated Conceptual Framework Adrian van Raay, RMIT University 12:00 AM |
In today’s highly competitive marketplace, organizations continue to look for ways to make the most of their projects. Information technology (IT) projects specifically continue to face challenges related to uncertainty and changing technology. IT projects have become notorious for high failure rates, significant cost and/or budget overruns. Both research and anecdotal evidence suggests that many IT projects struggle to meet functionality and quality targets. Research has identified multiple reasons for these challenges in IT projects, such as: project escalation, poor risk management, failure to manage user expectations, poor software development or project management processes, inability to learn from past mistakes and successes, or even challenges related to virtual projects. The insights gained from research in this area are often highly relevant to practice and can offer new contributions to existing theory. As a research community, there is still much to be learned and discussed about improving success rates for IT projects. This track welcomes papers that address a diverse range of topics related to IT project management.
Track Chairs
Dawn Owens, The University of Texas at Dallas, dawn.owens@utdallas.edu
Abhishek Tripathi, The College of New Jersey, tripatha@tcnj.edu