Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/314895 
Year of Publication: 
2022
Citation: 
[Journal:] Modern Supply Chain Research and Applications [ISSN:] 2631-3871 [Volume:] 4 [Issue:] 1 [Year:] 2022 [Pages:] 62-84
Publisher: 
Emerald, Bingley
Abstract: 
Purpose - Big data analytics (BDA) capabilities can affect supply chain performance in several ways. The main purpose of this study was to understand how BDA capabilities could affect supply chain performance through supply chain resilience and supply chain innovation. Design/methodology/approach - The study adopted a cross-sectional approach to collect survey-based responses to examine the hypotheses. Accordingly, 187 responses were collected and analyzed using partial least squares (PLS) in the SmartPLS3. Findings - The results showed that BDA capabilities improve supply chain performance through resilience and innovation of the supply chain. Originality/value - The present study also contributed to the existing literature by demonstrating the mediating role of supply chain resilience and supply chain innovation between BDA capabilities and supply chain performance. In this context, some theoretical and managerial implications were proposed and discussed.
Subjects: 
Big data analytics capabilities
Dynamic capability view
Innovation
Resilience
Supply chain performance
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.