Blockchain technology’s impact on supply chain integration and sustainable supply chain performance: evidence from the automotive industry

Sachin Kamble, Angappa Gunasekaran, Nachiappan Subramanian, Abhijeet Ghadge, Amine Belhadi and Mani Venkatesh
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Sachin Kamble: EDHEC - EDHEC Business School - UCL - Université catholique de Lille
Angappa Gunasekaran: CSUB - California State University [Bakersfield]
Nachiappan Subramanian: University of Sussex
Amine Belhadi: UCA - Université Cadi Ayyad [Marrakech]
Mani Venkatesh: Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School

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Abstract: The study investigates the relationship between the information and communication-enabled supply chain integration (SCI) and sustainable supply chain performance (SSCP). Moreover, to the best of our knowledge, there is no empirical evidence on the impact of blockchain technologies (BT) on the SSCP. Therefore, the primary aim of this study is to assess the relationship between BT and SSCP. More specifically, the study was conducted to examine the direct influence of BT on SCI and SSCP and the interactive effect of BT and SCI on SSCP. Based on the dynamic capability theoretical lens, the present study conceptualizes the use of BT as a specific IT resource to collaborate and reconfigure the ties with the upstream and downstream supply chain members to achieve SSCP. The results of the study support the hypothesis stating that BT positively influences the SSCP. The results recognize the role of SCI as a significant mediating variable between the BT and SSCP. The result indicates the strong influence of SCI with full mediation effect on the relationship between the BT and SSCP.

Keywords: Blockchain; Supply chain integration practices; Supply chain performance measurement; Automotive sector; Economic sustainability (search for similar items in EconPapers)
Date: 2021-07-01
Note: View the original document on HAL open archive server: https://hal.science/hal-04582491v1
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Citations: View citations in EconPapers (4)

Published in Annals of Operations Research, 2021, 327 (1), pp.575-600. ⟨10.1007/s10479-021-04129-6⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04582491

DOI: 10.1007/s10479-021-04129-6

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