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

Yu Wang and Zulqurnain Ali

Asia Pacific Business Review, 2023, vol. 29, issue 3, 632-653

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.

Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/13602381.2021.1920704 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:apbizr:v:29:y:2023:i:3:p:632-653

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/FAPB20

DOI: 10.1080/13602381.2021.1920704

Access Statistics for this article

Asia Pacific Business Review is currently edited by Professor Chris Rowley and Malcolm Warner

More articles in Asia Pacific Business Review from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().