Linking big data analytics capability and sustainable supply chain performance: mediating role of knowledge development

Kamel Fantazy and Syed Awais Ahmad Tipu

Management Research Review, 2023, vol. 47, issue 4, 512-536

Abstract: Purpose - Drawing on the dynamic capability view, this study aims to examine the relationships between big data analytics capability (BDAC) and sustainable supply chain performance (SSCP) by exploring the mediating effects of knowledge development (KD) in terms of knowledge acquisition, information distribution, shared meaning and achieved memory. Design/methodology/approach - Data were collected by questionnaire survey from 300 manufacturing organizations. Structural equation modeling was used to test the research hypotheses. Findings - It was found that all the dimensions of KD were positively related to BDAC and SSCP. Although no direct association was established between BDAC and SSCP, the empirical findings indicated that all the dimensions of KD fully mediated the relationship between BDAC and SSCP. This highlights that organizations need to harness KD because developing BDAC alone may not be sufficient. Originality/value - No previous research has explored how KD dimensions such as knowledge acquisition, information distribution, shared meaning and achieved memory mediate the relationship between BDAC and SSCP. This paper addresses this gap in the literature and contributes to the existing debate to better understand the conditions in which BDAC affects SSCP. Pointers for future research are also identified.

Keywords: Big data analytics; Knowledge development; Knowledge acquisition; Information; Distribution; Shared meaning; Achieved memory; Sustainable supply performance (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eme:mrrpps:mrr-01-2023-0018

DOI: 10.1108/MRR-01-2023-0018

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