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Exploring big data use to predict supply chain effectiveness in Chinese organizations: a moderated mediated model link

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  • Yu Wang
  • Zulqurnain Ali

Abstract

Due to globalization, firms are adopting innovative ways of doing business to realize their objectives. Big data use (BDU) is one of the innovative approaches that can assist firms to increase their SC agility (SCA) and effectiveness (SCE). Using the dynamic capabilities view, we aim to predict the direct and indirect link between BDU and SCE. Furthermore, we pursue to recognize information sharing as a moderator in BDU-SCA linkage. Therefore, we hired 321 Chinese SMEs entrepreneurs/executives through a survey and tested the framework in Mplus. The outcomes illustrate that BDU is not directly linked to SCE but SCA and indirectly (via SCA) related to SCE. Moreover, information-sharing moderates the BDU-SCA association. Finally, we recorded research implications.

Suggested Citation

  • Yu Wang & Zulqurnain Ali, 2023. "Exploring big data use to predict supply chain effectiveness in Chinese organizations: a moderated mediated model link," Asia Pacific Business Review, Taylor & Francis Journals, vol. 29(3), pages 632-653, May.
    • Handle: RePEc:taf:apbizr:v:29:y:2023:i:3:p:632-653
    DOI: 10.1080/13602381.2021.1920704
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