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Link between Industry 4.0 and green supply chain management : evidence from the automotive industry
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Ghadge, Abhijeet, Mogale, D. G., Bourlakis, Michael, M. Maiyar, Lohithaksha and Moradlou, Hamid (2022) Link between Industry 4.0 and green supply chain management : evidence from the automotive industry. Computers & Industrial Engineering, 169 . 108303. doi:10.1016/j.cie.2022.108303 ISSN 03608352.
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WRAP-link-between-Industry-4.0-green-supply-chain-management-evidence-automotive-industry-Moradlou-2022.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (2724Kb) | Preview |
Official URL: http://dx.doi.org/10.1016/j.cie.2022.108303
Abstract
The paper evidence the link between two paradigms - Industry 4.0 and Green Supply Chain Management (GSCM) following an empirical study conducted in the automotive industry. 243 responses from the automotive supply chain professionals from Europe (including the UK) are used to test the developed hypotheses. An integrated, two-stage approach combining interpretive structural modelling and structural equation modelling develops a multi-level hierarchical structure for establishing the link between Industry 4.0 technologies, Green Supply Chain (GSC) practices and GSC performance. The study evidenced an indirect effect of Industry 4.0 technologies through GSC practices on GSC performance; and this link is found to be stronger than the direct effect of Industry 4.0 and GSC practices in the automotive supply chains. Future supply chains should focus on driving and linking technologies such as the Internet of Things (IoT), Cyber-Physical Systems (CPS) and Blockchain for effective implementation of GSC practices. GSC practices, mainly reverse logistics and green purchasing, are highly influenced by disruptive technologies and are critical for leading improvement in GSC performance. Identifying and linking key Industry 4.0 technologies with GSC practices will benefit organizations in making evidence-informed decisions for improved sustainability performance.
| Item Type: | Journal Article | ||||||
|---|---|---|---|---|---|---|---|
| Subjects: | H Social Sciences > HD Industries. Land use. Labor Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||
| Library of Congress Subject Headings (LCSH): | Industry 4.0, Internet of things, Blockchains (Databases), Cooperating objects (Computer systems), Business logistics -- Environmental aspects, Sustainability, Automobile industry and trade, Industrial management -- Environmental aspects | ||||||
| Journal or Publication Title: | Computers & Industrial Engineering | ||||||
| Publisher: | Elsevier Ltd | ||||||
| ISSN: | 03608352 | ||||||
| Official Date: | July 2022 | ||||||
| Dates: |
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| Volume: | 169 | ||||||
| Article Number: | 108303 | ||||||
| DOI: | 10.1016/j.cie.2022.108303 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||
| Date of first compliant deposit: | 8 September 2022 | ||||||
| Date of first compliant Open Access: | 9 September 2022 |
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