Yu, Yu, Li, Zhaoyue, Mangla, Sachin Kumar and Song, Malin (2025) Robot Built Different : How It Affects Supply Chain Resilience. Journal of Business Logistics, 46 (3). ISSN 2158-1592
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Technological evolution has driven the widespread adoption of industrial robots while increasing the resilience requirements of increasingly complex supply chains. However, the relationship between robot adoption and supply chain resilience remains underexplored. This study addresses this gap by empirically examining the impact of robot adoption on supply chain resilience, using a panel dataset of listed manufacturing firms in China from 2013 to 2022. The findings reveal that robot adoption not only significantly enhances a firm's own supply chain resilience but also exerts a positive spillover effect on the resilience of its upstream and downstream partners. Moreover, the study uncovers the moderating roles of enterprise innovation and digital strategies, which amplify the positive effects of robot adoption on supply chain resilience. By integrating technological, strategic, and network perspectives, this research offers novel empirical evidence on the interplay between automation and resilience in supply chains. The study's conclusions have important implications for both managerial practice and policymaking: while state-owned and high-tech enterprises should be encouraged to take the lead in robot adoption, firms more broadly can further enhance supply chain resilience by investing in innovation and digital transformation strategies.
Item Type: | Article |
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Subjects: | Social Sciences and humanities > Decision Sciences > General Decision Sciences Social Sciences and humanities > Decision Sciences > Information Systems and Management Physical, Life and Health Sciences > Computer Science |
JGU School/Centre: | Jindal Global Business School |
Depositing User: | Mr. Gautam Kumar |
Date Deposited: | 25 Jul 2025 11:45 |
Last Modified: | 25 Jul 2025 11:45 |
Official URL: | https://doi.org/10.1111/jbl.70028 |
URI: | https://pure.jgu.edu.in/id/eprint/9894 |
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