How Big Data Analytics Improve Supply Chain Performance: Considering the Roles of Supply Chain and IS Strategy

Presenter Information

Wei Chen, University of Science and Technology of ChinaFollow
Shaobo Wei, University of Science and Technology of ChinaFollow
Jinmei Yin, University of Science and Technology of ChinaFollow
Xiayu Chen, Hefei University of TechnologyFollow

Paper Type

Complete

Paper Number

2121

Description

This paper aims to examine the relationship between big data analytics (BDA) and supply chain (SC) performance. Drawing on the dynamic capabilities theory, we hypothesize that supply chain strategy (i.e., lean and agile supply chain strategy) will positively mediate the relationship between BDA and SC performance. Further, from the perspective of strategy alignment, we also hypothesize that the effect of supply chain strategy on SC performance will be moderated by IS strategy (i.e., IS innovator and IS conservative strategy). Our study uses 159 match-paired questionnaires collected from Chinese firms to empirically test the hypotheses. This paper explains how BDA can improve SC performance and reveals the interaction effect of IS strategy and supply chain strategy on SC performance, which contributes to theoretical and practical implications.

Recommended Citation

Chen, Wei; Wei, Shaobo; Yin, Jinmei; and Chen, Xiayu, "How Big Data Analytics Improve Supply Chain Performance: Considering the Roles of Supply Chain and IS Strategy" (2020). ICIS 2020 Proceedings. 7.
https://aisel.aisnet.org/icis2020/governance_is/governance_is/7

Comments

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