The effect of big data analytics on firms sustainable competitive advantage of quality: a theory framework

Abstract

How can firms achieve sustainable competitive advantage of quality (SCAQ)? Some typical cases show that big data analytics is a possible approach. Based on the theory of dynamic capability, this paper constructs a theoretical framework and possible hypotheses of big data analytics (BDA) in the supply chain field that influences the firms SCAQ. The theoretical framework includes: (1) the definition and the dimensions of big data supply chain analytic (BDSCA) and SCAQ; (2) the internal and external factors that influence the use of BDSCA based on the TOE framework; (3) the path and effect of BDSCA on SCQR; (4) moderating effects of industry characters and environmental uncertainty. The research contributes to define the connotation and characteristics of BDSCA from the perspective of management, clarify the impact mechanism of BDSCA on SCAQ, and seek ways to improve the firms SCAQ in the area of big data.