软件部署
知识管理
可信赖性
供应链
计算机科学
主题分析
供应链管理
不信任
下游(制造业)
过程管理
业务
营销
定性研究
心理学
社会学
操作系统
心理治疗师
计算机安全
社会科学
作者
Abhinav Hasija,Terry L. Esper
摘要
Abstract Artificial intelligence (AI) applications are increasingly used to support supply chain management (SCM) activities. However, industry reports and recent research indicate difficulty in implementing AI solutions. This study explores the role of organizational factors in reconciling the differences between the potential SCM benefits of AI and its actual acceptance and use. We apply thematic analysis techniques to explore the marketing materials used by vendors of AI‐enabled software and interviews with organization leaders that have experience with the deployment of AI‐based technologies. The emergent model from our data analysis highlights organizational tactics often used to emphasize AI trustworthiness. Our findings suggest several tactics that could be used to convey that AI is a trustworthy technology. We build on the thematic model to situate the findings as offering theoretical extensions to the “social influence” aspect of UTAUT; and develop a robust call for research related to the effects of AI trustworthiness on internal, upstream, and downstream activities in the supply chain. The results contribute to academic conversations related to the acceptance and use of technology and the growing digitalization of supply chains. We outline managerial implications regarding the role of AI trustworthiness in AI use for managing SCM.
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