Weighing on the Capabilities of Big Data Analytics for Sustainable Supply Chain Management in Construction Projects

Samuel Egwunatum; Nwabueze M.  Anosike; MercyJane N.  Ihekweme

doi:10.55845/jos-2026-2183

Authors

Samuel Egwunatum Federal University of Technology, Owerri, Nigeria; University of Johannesburg, Johannesburg, South Africa
Nwabueze M. Anosike Federal University of Technology, Owerri, Nigeria
MercyJane N. Ihekweme Federal University of Technology, Owerri, Nigeria

DOI:

https://doi.org/10.55845/jos-2026-2183

Keywords:

Big Data Analytics, Sustainable Supply Chain Management (SSCM), Big Data, Construction Projects, Supply Chain Sustainability

Abstract

The construction industry faces significant challenges in implementing sustainable Supply Chain Management (SSCM) practices. This study explores the capability of big data analytics in enhancing SSCM in construction projects. A comprehensive literature review was conducted to identify the benefits, challenges, and barriers of adopting Big Data technologies in SSCM. The findings highlight the importance of big data analytics in improving supply chain visibility, reducing risks, and promoting sustainable practices. The study also identifies several challenges and barriers to the adoption of Big Data technologies in SSCM, including social, economic, and environmental concerns. The research provides insights into the role of big data analytics in driving SSCM in the construction industry. The study's findings have significant implications for construction companies, policymakers, and stakeholders seeking to improve the sustainability of their supply chains. By leveraging big data analytics, construction companies can enhance their SSCM practices, reduce their environmental impact, and improve their bottom line. This study contributes to the growing body of research on Big Data and SSCM in the construction industry.

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