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Harnessing AI and Circular Frameworks to Address Socio-Economic and Environmental Impacts of Mega-Project Delays: A Case Study of the Padma Multipurpose Bridge

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  • Husain S.M.

    (Department of MBA Programme (Bangladesh), Faculty of Graduate Studies, University of Kelaniya (UoK), Sri lanka Department of Computer Science & Engineering, Associate Professor, State University of Bangladesh (SUB))

Abstract

The Padma Multipurpose Bridge (PMB) represents a transformative mega-project aimed at fostering regional economic growth, enhancing connectivity, and improving socio-economic conditions in southern Bangladesh. This study explores the interconnected socio-economic and environmental consequences arising from construction delays in large-scale infrastructure projects. Data were sourced from prior research, media sentiment analysis, and household surveys, complemented by AI-based thematic analysis. This research leverages AI-driven thematic analysis to identify underlying patterns and generate insights that traditional qualitative methods may overlook. A robust conceptual framework is introduced, integrating Stakeholder Theory and Circular Economy principles to analyze project impacts. The findings emphasize the role of AI-powered monitoring systems, sustainable construction practices, and stakeholder engagement in mitigating delays. Comparative case studies, including WestConnex (Australia) and China’s Belt & Road Initiative, provide insights into global best practices. The study offers a policy framework for integrating predictive analytics in project execution, ensuring timely completion and enhanced sustainability.

Suggested Citation

  • Husain S.M., 2025. "Harnessing AI and Circular Frameworks to Address Socio-Economic and Environmental Impacts of Mega-Project Delays: A Case Study of the Padma Multipurpose Bridge," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(2), pages 828-834, February.
    • Handle: RePEc:bcp:journl:v:9:y:2025:i:2:p:828-834
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