The purpose of this study is to examine the impact of data analytics, collaboration and flexibility on supply chain resilience (SCR) performance in the current dynamic global market.
This study uses a partial least squares modeling approach to analyze the relationships defined in the conceptual model. This data was organized through a survey questionnaire shared with the professionals working in different industries and belonging to supply chain functions. This survey was designed to measure data analytics capability (DAC), supply chain collaboration (SCC), supply chain flexibility (SCF), industry dynamism (INY) and SCRP, consisting of 29 items. This analysis included involved assessing measurement model for reliability and validity and a structural model for hypothesis testing.
This research empirically examines that collaboration and flexibility are significantly enhanced by advanced DACs, generating superior SCRP. Furthermore, the findings validate that cooperation and adaptability among the supply chain are necessary to reinforce this inherent resilience. The relation of SCC, SCF and the SCRP was significantly moderated with the INY.
This study complements the extant literature by providing empirical evidence of the tangible effects of data analytics on SCR. The study demonstrates the need for the alignment of supply chain strategies with the INY, giving some directions on how businesses can tailor their practices to specific market environments for enhanced resilience.
