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Big data analytics-artificial intelligence and sustainable performance through green supply chain practices in manufacturing firms of a developing country

Aamir Rashid (Department of Business and Economics, School of Business and Information Systems, York College, The City University of New York (CUNY), Jamaica, New York, USA and Faculty of Business and Management, Universiti Sultan Zainal Abidin, Gong Badak, Terengganu, Malaysia)
Neelam Baloch (Faculty of Business Administration, IQRA University, Karachi, Pakistan)
Rizwana Rasheed (Faculty of Business Administration, IQRA University, Karachi, Pakistan)
Abdul Hafaz Ngah (Faculty of Business, Economy and Social Development, Universiti Malaysia Terengganu, Terengganu, Malaysia)

Journal of Science and Technology Policy Management

ISSN: 2053-4620

Article publication date: 19 March 2024

989

Abstract

Purpose

This study aims to examine the role of big data analytics (BDA) powered by artificial intelligence (AI) in improving sustainable performance (SP) through green supply chain collaboration (GSCC), sustainable manufacturing (SM) and environmental process integration (EPI).

Design/methodology/approach

Data was collected from 249 supply chain professionals working at various manufacturing firms, and hypotheses were tested through a quantitative method using PLS-SEM with the help of SmartPLS version 4 to validate the measurement model.

Findings

This study identified that BDA-AI significantly and positively affects GSCC, SM and EPI. Similarly, the results showed that GSCC significantly and positively affects SP. At the same time, SM and EPI have an insignificant effect on SP. The GSCC found a significant relationship between BDA-AI and SP for mediation. However, SM and environmental performance integration did not mediate the relationship between BDA and AI and SP.

Originality/value

This research evaluated a second-order model and tested SP in conjunction with the dynamic capability theory in the manufacturing industry of Pakistan. Therefore, this research could be beneficial for researchers, manufacturers and policymakers to attain sustainable goals by implementing the BDA-AI in the supply chain.

Keywords

Citation

Rashid, A., Baloch, N., Rasheed, R. and Ngah, A.H. (2024), "Big data analytics-artificial intelligence and sustainable performance through green supply chain practices in manufacturing firms of a developing country", Journal of Science and Technology Policy Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JSTPM-04-2023-0050

Publisher

:

Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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