When knowledge workers meet AI? The double-edged sword effects of AI adoption on innovative work behavior

IF 6.6 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Journal of Knowledge Management Pub Date : 2024-10-09 DOI:10.1108/jkm-02-2024-0222

Xueyan Dong, Yuxin Tian, Mingming He, Tienan Wang

{"title":"When knowledge workers meet AI? The double-edged sword effects of AI adoption on innovative work behavior","authors":"Xueyan Dong, Yuxin Tian, Mingming He, Tienan Wang","doi":"10.1108/jkm-02-2024-0222","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>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.</p>\n<h3>Design/methodology/approach</h3>\n<p>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.</p>\n<h3>Findings</h3>\n<p>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.</p>\n<h3>Originality/value</h3>\n<p>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.</p>","PeriodicalId":48368,"journal":{"name":"Journal of Knowledge Management","volume":null,"pages":null},"PeriodicalIF":6.6000,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Knowledge Management","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/jkm-02-2024-0222","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}

引用次数: 0

Abstract

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.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

当知识工作者遇上人工智能？采用人工智能对创新工作行为的双刃剑效应

目的本研究旨在探讨采用人工智能（AI）对知识型员工创新工作行为（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。本研究分析了 313 名知识型员工的问卷调查结果，并使用 SPSS 25.0、SPSS 25.0 macro-PROCESS 和 AMOS 28.0 进行了数据分析。研究结果本研究发现，采用人工智能对知识型员工的创新工作行为（IWB）具有双刃剑效应。具体来说，采用人工智能可以通过增强知识型员工的挑战性压力评价来促进 IWB，而通过促进他们的阻碍性压力评价来抑制 IWB。此外，个体学习能力对人工智能采用与压力评价之间的关系有明显的调节作用，而压力评价又进一步影响了IWB。本研究丰富了知识管理领域对人工智能的研究，特别是通过揭示用户使用技术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，我们还为企业在引入新技术或推动智能转型时寻求员工的合作与支持提供了新的见解和建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

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?