Measuring supply chain responsiveness: the influence of big data capabilities, strategic procurement and product innovation

Purpose The purpose of this study is to tackle the pressing challenge and provoke thoughts regarding improving supply chain responsiveness (SCR) in Indian food industry using Big Data Capabilities (BDCs) with procurement and production innovation. Specifically, the study seeks to empirically examine how BDC affects SCR through strategic procurement and production innovation capabilities. Design/methodology/approach The authors used confirmatory factor analysis and structural equation modeling for validation of the proposed theoretical constructs, as well as their hypothesized relationships. In this study, an online survey instrument was administered to the professionals from the Indian food industry and data were analyzed for reliability, validity and statistical significance of path coefficients. Findings BDC is found to improve SCR by enabling data-based strategy and in procurement practices, as well as in production innovation. BDC is found to be positively and statistically significantly associated with strategic procurement and production innovation capabilities in the Indian food industry, indicating that BDC critically enables supply chain agility and responsiveness. Originality/value This study provides a framework to establish synergistic effects of BDC together with strategic procurement and production innovation on SCR within specific Indian food industrial context. This study fills the gap in previous research by offering industry-specific perspectives on how organizations can use big data to enhance supply chain responsiveness.