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

被引：1

作者：

Meng, Xiangli ^{[1
]}

An, Na ^{[2
]}

机构：

[1] Finance Department, The Third Affiliated Hospital of Jinzhou Medical University, Jinzhou

[2] Finance Department, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou

来源：

International Journal of Information Systems and Change Management | 2024年 / 14卷 / 03期

关键词：

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

D O I：

10.1504/IJISCM.2024.142159

中图分类号：

学科分类号：

摘要：

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. Copyright © 2024 Inderscience Enterprises Ltd.

引用

页码：250 / 265

页数：15

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