Big data analytics in construction: laying the groundwork for improved project outcomes

Singh, Arpit, Dwivedi, Ashish, Bishnoi, Malini Mittal and Ramakrishnan, Swamynathan (2024) Big data analytics in construction: laying the groundwork for improved project outcomes. In: Computational intelligence techniques for sustainable supply chain management : Uncertainty, computational techniques, and decision intelligence. Academic Press, pp. 27-56. ISBN 978-0-443-18464-2

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Abstract

Big data analytics (BDA) has garnered significant attention worldwide for the strategic and operational competencies it offers to enhance the economic performance of organizations. This study identifies major challenges to implementing BDA for attaining sustainable supply chains in the Indian construction sector. An extant literature review and experts’ inputs underpinned the major challenges in the sector. A rank ordering methodology underscored the dominance-based rough sets approach to prioritize the obstacles based on the severity associated with each challenge. This study will assist policymakers in exploring the major obstacles to the implementation of BDA in the construction supply chains so that sound strategies can be formulated that will improve the reach of BDA in the Indian construction industry.

Item Type: Book Section
Subjects: Physical, Life and Health Sciences > Computer Science
Physical, Life and Health Sciences > Engineering and Technology
Social Sciences and humanities > Social Sciences > Social Sciences (General)
JGU School/Centre: Jindal Global Business School
Depositing User: Subhajit Bhattacharjee
Date Deposited: 12 Sep 2024 10:36
Last Modified: 12 Sep 2024 10:36
Official URL: https://doi.org/10.1016/B978-0-443-18464-2.00003-0
URI: https://pure.jgu.edu.in/id/eprint/8472

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