Huang, K, Wang, K, Lee, PKC and Yeung, ACL (2023) The impact of industry 4.0 on supply chain capability and supply chain resilience: A resource-based view. International Journal of Production Economics (108913). -. ISSN 0925-5273

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Industry 4.0, a collection of emerging intelligent and digital technologies, has been the main interest of both researchers and practitioners in operations management (OM) in recent years. Despite its proclaimed effectiveness in supply chain (SC) management, empirical studies examining the effects of Industry 4.0 adoption on SC resilience have been underrepresented in the current OM literature. In our study, we explore the effects of 16 Industry 4.0 technologies and IT advancement concerning SC resilience through the mediating roles of SC capabilities with respect to SC collaboration and SC visibility. Following the dynamic resource-based view (RBV), we regard Industry 4.0 adoption and IT advancement as two important IT resources with heterogeneity, SC collaboration and SC visibility as essential SC dynamic capabilities, and SC resilience as competitive advantages. We suggest the combination and evolution of IT resources and dynamic SC capabilities helps firms obtain the competitive advantage regarding SC resilience. Using data from a survey of 408 Chinese manufacturing firms, we reveal Industry 4.0 adoption is positively related to IT advancement and that Industry 4.0 has a nonsignificant impact on SC capabilities, whereas IT advancement has a positive impact on SC capabilities. Additionally, both SC collaboration and visibility positively influence SC resilience and significantly mediate the impacts of Industry 4.0 and IT advancement on SC resilience. Our study offers an enhanced understanding of the specific flows between Industry 4.0 and SC resilience and provides nuanced insights for both literature and practice.

Item Type: Article
Additional Information: This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2023 Published by Elsevier B.V. All relevant information related to this article can be found on the publisher website.
Subjects: H Social Sciences > HA Statistics
H Social Sciences > HB Economic Theory
Divisions: Faculty of Humanities and Social Sciences > Keele Business School
Depositing User: Symplectic
Date Deposited: 23 May 2023 08:37
Last Modified: 23 May 2023 08:37

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