From Insights to Action: Big Data Analytics Management Capability as a Moderator for Supply Chain Learning and Agility

Abstract

Objective: Underpinned by Organizational Information Processing Theory, this study aimed to explore the relationship between Supply Chain Learning, Agility, Adaptability, and Big Data Analytics Management Capability in the context of potential supply chain disruptions.

Methodology: The study population is manufacturing companies in Punjab, Pakistan; the samples are derived using stratified random sampling, with the industry serving as strata.

Results: Our findings confirm that supply chain learning significantly affects supply chain agility and adaptability, with adaptability mediating this relationship. However, while big data analytics management capability significantly moderates the direct relationship between supply chain learning and agility, it does not significantly impact the indirect effect of supply chain learning and agility through supply chain adaptability. This suggests that big data analytics management capability is more crucial in facilitating instant, agile responses than in supporting longer-term strategic adjustments.

Implications: The study enriches the supply chain management discourse by demonstrating the strategic role of big data analytics management capability in enhancing learning and adaptive capabilities within supply chains. Practical implications for managers include the importance of investing in big data analytics management capability to leverage supply chain learning effectively for improved agility while acknowledging that additional strategies may be required to enhance adaptability in response to the evolving landscape of supply chain operations.