TY - GEN
T1 - THE FUTURE OF MEGAPROJECT MANAGEMENT
AU - McDermott, Thomas A.
AU - Yu, Zhongyuan
AU - Nadolski, Molly
AU - Clifford, Megan
N1 - Publisher Copyright:
Copyright © American Society for Engineering Management, 2024.
PY - 2024
Y1 - 2024
N2 - The integration of data visualization, artificial intelligence (AI), and machine learning (ML) with human knowledge transfer across teams presents significant opportunities for managing the world's largest programs, commonly referred to as megaprojects. According to the Oxford Handbook of Megaproject Management, megaprojects are characterized as “large-scale, complex ventures that typically cost $1 billion or more, take many years to develop and build, involve multiple public and private stakeholders, are transformational, and impact millions of people.” These projects often function as mega-systems marked by operational uncertainty, behavioral complexity, pluralistic decision-making, and external environmental volatility. Despite the fundamental role of uncertainty management in megaproject leadership, the project management literature offers limited coverage on this topic. Similarly, the visualization of uncertainties has not been extensively analyzed. In response to these gaps, this study introduces a new assessment framework designed to categorize and describe the dimensions of uncertainty in megaprojects. We developed an innovative megaproject uncertainty framework to use as a project assessment and management playbook for megaproject uncertainties. The framework was tested on historical case studies and ongoing megaprojects. This paper will discuss the development, application, and evaluation of the Megaproject Uncertainty Framework..
AB - The integration of data visualization, artificial intelligence (AI), and machine learning (ML) with human knowledge transfer across teams presents significant opportunities for managing the world's largest programs, commonly referred to as megaprojects. According to the Oxford Handbook of Megaproject Management, megaprojects are characterized as “large-scale, complex ventures that typically cost $1 billion or more, take many years to develop and build, involve multiple public and private stakeholders, are transformational, and impact millions of people.” These projects often function as mega-systems marked by operational uncertainty, behavioral complexity, pluralistic decision-making, and external environmental volatility. Despite the fundamental role of uncertainty management in megaproject leadership, the project management literature offers limited coverage on this topic. Similarly, the visualization of uncertainties has not been extensively analyzed. In response to these gaps, this study introduces a new assessment framework designed to categorize and describe the dimensions of uncertainty in megaprojects. We developed an innovative megaproject uncertainty framework to use as a project assessment and management playbook for megaproject uncertainties. The framework was tested on historical case studies and ongoing megaprojects. This paper will discuss the development, application, and evaluation of the Megaproject Uncertainty Framework..
KW - artificial intelligence
KW - complexity
KW - data analytics
KW - leadership
KW - Megaproject
KW - uncertainty
UR - https://www.scopus.com/pages/publications/85219325020
UR - https://www.scopus.com/pages/publications/85219325020#tab=citedBy
M3 - Conference contribution
AN - SCOPUS:85219325020
T3 - Proceedings of the 2024 International Annual Conference and 45th Annual Meeting: Engineering Management Riding the Waves of Smart Systems, ASEM 2024
SP - 252
EP - 262
BT - Proceedings of the 2024 International Annual Conference and 45th Annual Meeting
A2 - Natarajan, Ganapathy
A2 - Zhang, Hao
A2 - Ng, Ean
T2 - 2024 International Annual Conference of the American Society for Engineering Management and 45th Annual Meeting: Engineering Management Riding the Waves of Smart Systems, ASEM 2024
Y2 - 6 November 2024 through 9 November 2024
ER -