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Communications of the Association for Information Systems

Author ORCID Identifier

Adnan Khan: https://orcid.org/0000-0002-6064-7215

Syed Hussain Murtaza: https://orcid.org/0009-0003-5531-8315

Sultan Sikandar Mirza: https://orcid.org/0000-0002-8044-9945

Abstract

This study investigates the transformative interaction among digital resilience (DR), Internet of Things-oriented supply chain practices (IoTP), AI-driven innovative practices (AIDIP), and sustainable supply chain performance (SSCP) in the context of the dynamic capability view (DCV) theory. Using empirical data from 293 high-tech SMEs in China that have adopted IoT and AI practices and analyzing it through partial least squares structural equation modeling (PLS-SEM), the results show that DR has a significant effect on IoTP and AIDIP improvement, which in turn positively influences SSCP. Notably, IoTP has a positive impact on operational efficiency and environmental sustainability, whereas AIDIP is also vital to resource optimization and predictive analytics. Moreover, SCD moderates the relationship between DR and IoTP, which amplifies the effectiveness of digital practices in dynamic environments. These findings have major implications for integrating digital technology with adaptive capacities in improving supply chain resilience (SCR), efficiency, and sustainability. However, since the sample is limited to Chinese high-tech SMEs with confirmed adoption of IoT and AI practices, the generalizability of the findings to other firm sizes or geographies should be approached with caution. The current research thus fills the gap between theory and practice and provides managers and policymakers with actionable insights while prescribing a robust framework for navigating the complexities of contemporary supply chain management.

DOI

10.17705/1CAIS.05733

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