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IS innovativeness and supply chain resilience: the role of analytics capability and supply chain integration.

Authors :
Cao, Qing Ray
Elking, Isaac
Gu, Vicky Ching
Hoffman, James J.
Source :
Journal of Enterprise Information Management; 2024, Vol. 37 Issue 4, p1227-1253, 27p
Publication Year :
2024

Abstract

Purpose: The purpose of this study is to examine the extent to which a firm is able to leverage its information system (IS) innovativeness to improve supply chain resilience through developing and employing its analytics capability. It further considers how this mediating effect of analytics capability can be enhanced by internal and external integration. Design/methodology/approach: Building on the logic of organizational information processing theory, a mediated moderation model is developed and tested using structural equation modeling and partial least squares regression based on survey responses from 247 working professionals. Findings: The results indicate that IS innovativeness improves a firm's supply chain resilience through enhanced analytics capability, with higher levels of internal and external integration further strengthening the effects of this mediating relationship. Originality/value: This study is among the first to empirically test the effects of IS innovativeness and analytics capability on supply chain resilience and to examine the impacts of internal and external integration as key factors affecting the strength of these relationships. The findings complement existing literature through providing new insights into the linkage between IS strategy and supply chain resilience and highlighting the importance of relationships throughout the supply chain to enhance the efficacy of a firm's analytics capability within this domain. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17410398
Volume :
37
Issue :
4
Database :
Complementary Index
Journal :
Journal of Enterprise Information Management
Publication Type :
Academic Journal
Accession number :
178533567
Full Text :
https://doi.org/10.1108/JEIM-07-2023-0385