Abstract

Purpose – Many studies review digitalization role in today's business world, including Big Data and its impact on Supply Chain Performance. Taking into account SCOR is the reference model for supply chains, it became vital to understand its role in mediating both concepts. As a matter of fact, the magnitude of SCOR as a mediator of Big Data impact on Supply Chain Performance remains an open issue. Design/Methodology/Approach – This work is based on a Partial Least Square - Structural Equation Modeling approach, grounded on a framework built upon SCOR intersections with Big Data and Supply Chain Performance obtained from the literature. The study included an extensive data collection procedure, based on a questionnaire, to a diverse spectrum of senior executives in supply chain and other disciplines, from broad international backgrounds. Findings – Big Data impacts Plan and Source elements which do propagate to the remaining elements of SCOR. The model unfolds with these remaining elements contributing to Supply Chain Resilience and Supply Chain Resilience having a significant impact on Supply Chain Performance. Originality/Value – While many studies have discussed digitalization and its applications, very few discuss the exact mechanics of how Big Data impacts Supply Chain Performance. In this study, SCOR is used as the main mediator between the two concepts.

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