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

• Published in: Management research news 2024-02, Vol.47 (4), p.512-536
• Main Authors: Fantazy, Kamel, Tipu, Syed Awais Ahmad
• Format: Article
• Language: English
• Subjects: Big Data; Competition; Competitive advantage; Data analysis; Explicit knowledge; Hypotheses; Information sharing; Knowledge acquisition; Knowledge management; Literature reviews; Mediators; Memory; Organizational learning; R&D; Research & development; Supply chains; Sustainability
• ISSN: 2040-8269; 2040-8277; 2040-8269
• DOI: 10.1108/MRR-01-2023-0018

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.