Title: Assessing supply chain risk management capabilities and its impact on supply chain performance: moderation of AI-embedded technologies

Authors: Xiangli Meng; Na An

Addresses: Finance Department, The Third Affiliated Hospital of Jinzhou Medical University, Jinzhou, 121001, China ' Finance Department, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, 121001, China

Abstract: This research investigates the correlation between risk management and supply chain performance (SCP) along with moderation of AI-embedded technologies such as big data analytics, Internet of Things (IoT), virtual reality, and blockchain technologies. To calculate the results, this study utilised 644 questionnaires through the structural equation modelling (SEM) method. It is revealed using SmartPls that financial risk management (FRM) is positively linked with SCP. Second, it was observed that AI significantly moderates the connection between FRM and SCP. In addition, the study presents certain insights into supply chain and AI-enabled technologies and how these capabilities can beneficially advance SCP. Besides, certain implications, both managerial and theoretical are described for the supply chain managers along with limitations for future scholars of the world.

Keywords: supply chain management; risk management; financial risk; AI-enabled technologies; SEM; structural equation modelling.

DOI: 10.1504/IJISCM.2024.142159

International Journal of Information Systems and Change Management, 2024 Vol.14 No.3, pp.250 - 265

Received: 10 Feb 2024
Accepted: 04 Jun 2024
Published online: 10 Oct 2024 *

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