Understanding knowledge hiding under technological turbulence caused by artificial intelligence and robotics

人工智能 计算机科学 独创性 知识管理 感知 心理学 社会心理学 创造力 神经科学
作者
Jose Arias-Pérez,Juan Daniel Vélez-Jaramillo
出处
期刊:Journal of Knowledge Management [Emerald Publishing Limited]
卷期号:26 (6): 1476-1491 被引量:63
标识
DOI:10.1108/jkm-01-2021-0058
摘要

Purpose Artificial intelligence (AI) will be performing 52% of the tasks in companies by 2025. The increasing adoption of AI is generating technological turbulence in the business environment. Previous studies have also shown that employees are aware of the high risk of losing their jobs when being replaced by AI. The risk of employees engaging in opportunistic behaviors, such as knowledge hiding, is thus fairly high. Therefore, the aim of this paper is to analyze the mediating effect of employee’s AI awareness on the relationship between technological turbulence generated by AI and the three types of knowledge hiding: evasive hiding, playing dumb and rationalized hiding. Design/methodology/approach Structural equations by the partial least squares method were used to test the proposed research model. Findings The most interesting finding is that employee’s AI and robotics awareness fulfills almost all mediating functions in the relationship between technological turbulence generated by AI and the three types of knowledge hiding. Originality/value The results show that knowledge hiding in the digital age is first and foremost a strategy by employees to sabotage and induce failure in process automation, to reduce the risk of being replaced in the workplace by AI. This study indicates that employees are willing to hide knowledge in all possible ways when perception that AI is a threat to their job increases. In other words, technological turbulence generated by AI and employee’s AI awareness are the two great new triggers of knowledge hiding in the digital age.
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