Data Analytics and Artificial Intelligence in the Complex Environment of Megaprojects: Implications for Practitioners and Project Organizing Theory

Author:

Wijayasekera Sachindra Chamode1,Hussain Syed Asad1,Paudel Amrit2,Paudel Bhuwan1,Steen John3ORCID,Sadiq Rehan1,Hewage Kasun1

Affiliation:

1. Life Cycle Management Laboratory, School of Engineering, University of British Columbia (Okanagan Campus), Kelowna, British Columbia, Canada

2. Department of Electrical and Software Engineering, University of Calgary, Calgary, Alberta, Canada

3. Norman B. Keevil Institute of Mining Engineering, University of British Columbia (Vancouver Campus), Vancouver, British Columbia, Canada

Abstract

This article articulates the prospect of improving megaproject execution and performance via digital project delivery. Various digitalization options, such as cloud computing, automation, artificial intelligence, information modeling, and data analytics and their recent usage in megaprojects, are critically reviewed. Prospective future developments and forthcoming challenges of digitalization in megaprojects have also been identified based on the current progress of these technologies. In terms of theory, we suggest information economics and organizational economics as a starting place to develop a research approach to artificial intelligence and megaprojects.

Funder

Project Management Institute

Publisher

SAGE Publications

Subject

Management of Technology and Innovation,Strategy and Management,Business and International Management

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