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Title Responsible governance mechanisms and the role of suppliers' ambidexterity and big data predictive analytics capabilities in circular economy practices improvements
ID_Doc 2229
Authors Stekelorum, R; Laguir, I; Lai, KH; Gupta, S; Kumar, A
Title Responsible governance mechanisms and the role of suppliers' ambidexterity and big data predictive analytics capabilities in circular economy practices improvements
Year 2021
Published
DOI 10.1016/j.tre.2021.102510
Abstract Recent years have seen a growing interest in the separate areas of responsible governance mechanisms and circular economy practices. However, the literature lacks evidence on supplier capabilities as a responsible governance mechanism pathway for buyer firms to improve their circular economy practices. Drawing on the natural resource-based view, and the dynamic capabilities perspective, this study examines suppliers' supply chain ambidexterity and big data predictive analytics capabilities as enabling factors in support of buyer firms' responsible governance mechanism for circular economy practices improvements. Using data from surveys conducted among 404 firms (202 focal firm-supplier dyads), the results suggest that the focal firm's supplier-selection mechanism significantly and positively influences its circular economy practices while the supplier-development mechanism has no such effect. We find further that the governance mechanisms vary in their effects on suppliers' supply chain ambidexterity and subsequent big data analytics capabilities and circular economy practices improvements outcomes. In sum, our findings provide unique insights into the role of suppliers' capabilities for responsible governance mechanisms to circular economy practices improvements from the perspective of the dyad.
Author Keywords Circular economy; Responsible governance mechanisms; Supply chain ambidexterity; Big data analytics capabilities
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
EID WOS:000747781000008
WoS Category Economics; Engineering, Civil; Operations Research & Management Science; Transportation; Transportation Science & Technology
Research Area Business & Economics; Engineering; Operations Research & Management Science; Transportation
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