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Big Data Analytics Capability and Supply Chain Sustainability: Analyzing the Moderating Role of Green Supply Chain Management Practices

Rahman, A, Saha, P, Belal, HM, Hasan Ratul, S and Graham, G Big Data Analytics Capability and Supply Chain Sustainability: Analyzing the Moderating Role of Green Supply Chain Management Practices. Benchmarking: An International Journal. ISSN 1463-5771 (Accepted)

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Abstract

Purpose: This research develops a theoretical framework to understand the role of big data analytics capability (BDAC) in enhancing supply chain sustainability and examines the moderating effect of green supply chain management (GSCM) practices on this relationship. Design/Methodology: Guided by the dynamic capability view (DCV), we formulated a theoretical model and research hypotheses. Using partial-least-square-based structural equation modeling (PLS-SEM), we analyzed data collected from 159 survey responses from Bangladeshi ready-made garments (RMG). Findings: The statistical analysis revealed that BDAC positively impacts all three dimensions of supply chain sustainability: economic, social, and environmental. Additionally, GSCM practices significantly moderate the relationship between BDAC and supply chain sustainability. Value/Originality: This study advances the current understanding of supply chain sustainability by integrating BDAC with GSCM practices. It is among the first to empirically investigate the combined effects of BDAC on the three dimensions of sustainability—economic, social, and
environmental—while also exploring the moderating role of GSCM practices. By employing the DCV, this research offers a robust theoretical framework that highlights the dynamic interplay between technological and environmental capabilities in achieving sustainable supply chain performance. Implications: This study makes unique contributions to the operations and supply chain management literature by providing empirical evidence and theoretical insights that extend beyond the focus on single sustainability dimensions. The findings offer valuable guidelines for policymakers and managers aiming to enhance supply chain sustainability through BDAC and GSCM practices.

Item Type: Article
Uncontrolled Keywords: 0104 Statistics; 0803 Computer Software; 1503 Business and Management; Business & Management
Subjects: H Social Sciences > HF Commerce > HF5001 Business
H Social Sciences > HF Commerce > HF5001 Business > HF5410 Marketing. Distribution of Products
Divisions: Liverpool Business School
Publisher: Emerald
SWORD Depositor: A Symplectic
Date Deposited: 06 Dec 2024 11:01
Last Modified: 06 Dec 2024 11:01
URI: https://researchonline.ljmu.ac.uk/id/eprint/25053
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