知识管理
知识共享
人力资源管理
社会交换理论
个性化
隐性知识
计算机科学
业务
心理学
社会心理学
万维网
作者
Ashish Malik,Mai Nguyen,Pawan Budhwar
出处
期刊:IEEE Transactions on Engineering Management
[Institute of Electrical and Electronics Engineers]
日期:2024-01-01
卷期号:: 1-30
被引量:15
标识
DOI:10.1109/tem.2022.3163117
摘要
Increased adoption of artificial intelligence (AI) enabled human resource management (HRM) has moved from developing functional applications to actively engaging employees in their use of such applications. Employees share explicit and tacit knowledge using an AI-mediated knowledge sharing (AI-MKS) exchange through HRM-focused AI applications. However, there exists limited understanding of the antecedents and outcomes of such an AI-MKS exchange. Research on this topic is timely as emerging research points to mixed (positive and negative) effects of such technological adoption. Therefore, this article employs a dual review strategy, wherein a narrative review follows a systematic literature review to develop a theoretical model for understanding the causes and consequences of an AI-mediated knowledge-sharing exchange using AI-enabled HRM applications. We integrate the theoretical literature on knowledge sharing, HRM, and AI-mediated social exchange for building our theoretical model. Specifically, the systematic literature review points to an individual, social, technological, and organizational level antecedents of knowledge sharing, which interact with various types of an AI-MKS social exchange to deliver high levels of personalization, hyperpersonalization, and individualization for employees as well as deliver HR effectiveness.
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