Perceived coworker AI knowledge and AI-knowledge withholding: role of job insecurity and organizational AI readiness

IF 9.5 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Journal of Knowledge Management Pub Date : 2026-09-22 DOI:10.1108/jkm-12-2024-1430

Donglu Shan,Kaichen Zhao,Yu Yan,Shuaiping Xiao

引用次数: 0

Abstract

Purpose This study aims to examine how employees’ perceptions of their coworkers’ artificial intelligence (AI) knowledge influence their own tendency to withhold AI-related knowledge and explore the mediating and moderating mechanisms that explain this process. Design/methodology/approach Data were collected from 236 employees across three time points. Hypotheses were tested using regression analysis and bootstrapping methods. Findings Drawing on interdependence theory, we reveal that employees who perceive their coworkers as more proficient in AI experience heightened job insecurity, which drives AI-knowledge withholding. Organizational AI readiness moderates the indirect effect of perceived coworker AI knowledge on AI-knowledge withholding via job insecurity. Originality/value This study enhances understanding of knowledge withholding during AI transitions and offers actionable insights for organizations to minimize counterproductive knowledge behaviors.

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感知同事人工智能知识和人工智能知识隐瞒：工作不安全感和组织人工智能准备的作用

本研究旨在探讨员工对同事人工智能知识的认知如何影响其自身对人工智能相关知识的隐瞒倾向，并探讨这一过程的中介和调节机制。设计/方法/方法从三个时间点的236名员工中收集数据。采用回归分析和自举方法对假设进行检验。根据相互依赖理论，我们发现，认为同事更精通人工智能的员工会增加工作不安全感，从而导致人工智能知识的隐瞒。组织人工智能准备程度调节了感知到的同事人工智能知识通过工作不安全感对人工智能知识隐瞒的间接影响。本研究增强了对人工智能过渡过程中知识保留的理解，并为组织提供了可操作的见解，以最大限度地减少适得其反的知识行为。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Knowledge Management Multiple-

CiteScore

13.70

自引率

15.70%

发文量

期刊介绍： Knowledge Management covers all the key issues in its field including: ■Developing an appropriate culture and communication strategy ■Integrating learning and knowledge infrastructure ■Knowledge management and the learning organization ■Information organization and retrieval technologies for improving the quality of knowledge ■Linking knowledge management to performance initiatives ■Retaining knowledge - human and intellectual capital ■Using information technology to develop knowledge management ■Knowledge management and innovation ■Measuring the value of knowledge already within an organization ■What lies beyond knowledge management?