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When knowledge workers meet AI? The double-edged sword effects of AI adoption on innovative work behavior
Journal of Knowledge Management ( IF 6.6 ) Pub Date : 2024-10-09 , DOI: 10.1108/jkm-02-2024-0222
Xueyan Dong, Yuxin Tian, Mingming He, Tienan Wang

Purpose

The purpose of this study was to investigate the impact of artificial intelligence (AI) adoption on knowledge workers' innovative work behaviors (IWB), as well as the mediating role of stress appraisal and the moderating role of individual learning abilities.

Design/methodology/approach

This study analyzed the questionnaire results of 313 knowledge workers, and data analysis was conducted by using SPSS 25.0, SPSS 25.0 macro-PROCESS and AMOS 28.0.

Findings

This study found that AI adoption has a double-edged sword effect on knowledge workers' IWB. Specifically, AI adoption can promote IWB by enhancing knowledge workers' challenging stress appraisal, while inhibiting IWB by fostering their hindering stress appraisal. Moreover, individual learning ability significantly moderated the relationship between AI adoption and stress appraisal, which further influenced IWB.

Originality/value

This study integrates the conflicting findings of previous studies and proposes a comprehensive theoretical model based on the theory of cognitive appraisal of stress. This study enriches the research on AI in the field of knowledge management, especially extending the understanding of the relationship between AI adoption and knowledge workers’ IWB by unraveling the psychological mechanisms and behavior outcomes of users' technology usage. Additionally, we provide new insights and suggestions for organizations to seek the cooperation and support of employees in introducing new technologies or driving intelligent transformation.



中文翻译:


当知识工作者遇见人工智能?人工智能采用对创新工作行为的双刃剑效应


 目的


本研究的目的是探讨人工智能(AI)的采用对知识工作者创新工作行为(IWB)的影响,以及压力评估的中介作用和个人学习能力的调节作用。


设计/方法论/途径


本研究对313名知识工作者的问卷结果进行了分析,并利用SPSS 25.0、SPSS 25.0 Macro-PROCESS和AMOS 28.0进行数据分析。

 发现


这项研究发现,人工智能的采用对知识工作者的 IWB 具有双刃剑效应。具体来说,人工智能的采用可以通过增强知识工作者的挑战性压力评估来促进 IWB,同时通过促进他们的阻碍性压力评估来抑制 IWB。此外,个人学习能力显着调节了人工智能采用与压力评估之间的关系,从而进一步影响了 IWB。

 原创性/价值


本研究整合了先前研究的相互矛盾的结果,并提出了基于压力认知评估理论的综合理论模型。本研究丰富了人工智能在知识管理领域的研究,特别是通过揭示用户技术使用的心理机制和行为结果,扩展了对人工智能采用与知识工作者IWB之间关系的理解。此外,我们还为组织在引入新技术或推动智能化转型时寻求员工的合作和支持提供新的见解和建议。

更新日期:2024-10-08
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