Opportunity and threat: how employees’ perceptions of artificial intelligence influence job crafting

Purpose Artificial Intelligence (AI) application imposes a complicated and uncertain situation for employees to comprehend and react. Existing research has examined employees’ positive and negative perceptions of AI and their reactions separately. Little is known about how the two opposing perceptions of AI could coexist and interact to shape employees’ behavioral reactions. Drawing on the categorization theory, our research aims to examine how employees’ opportunity and threat perceptions of AI interact to influence job crafting and boundary conditions for this interaction. Design/methodology/approach We conducted a two-wave study of 250 employees in China who had experienced AI transformation in their organizations. SPSS and Hayes PROCESS were used to test the hypotheses. Findings The positive effect of employees’ opportunity perceptions of AI on job crafting was attenuated by their threat perceptions. This attenuating effect was stronger for younger employees. Originality/value Our research extends categorization theory and the literature on AI perceptions by demonstrating the interaction effect of employees’ opposing perceptions of AI on job crafting and identifying age as a boundary condition for this interaction.

Authors

Institutions

Publication Details

Journal
Baltic Journal of Management
Published
2025-05-08
DOI
https://doi.org/10.1108/bjm-09-2024-0525
Citations
5
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
13.82
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Opportunity and threat: how employees’ perceptions of artificial intelligence influence job crafting

Guanglu Xu, Yan Liu, Lingyan Hu, Huanran Wang
5 citations
Baltic Journal of Management
AI and HR Technologies
13.82
article

Opportunity and threat: how employees’ perceptions of artificial intelligence influence job crafting

Guanglu Xu, Yan Liu, Lingyan Hu, Huanran Wang
article en
5 citations

Abstract

Purpose Artificial Intelligence (AI) application imposes a complicated and uncertain situation for employees to comprehend and react. Existing research has examined employees’ positive and negative perceptions of AI and their reactions separately. Little is known about how the two opposing perceptions of AI could coexist and interact to shape employees’ behavioral reactions. Drawing on the categorization theory, our research aims to examine how employees’ opportunity and threat perceptions of AI interact to influence job crafting and boundary conditions for this interaction. Design/methodology/approach We conducted a two-wave study of 250 employees in China who had experienced AI transformation in their organizations. SPSS and Hayes PROCESS were used to test the hypotheses. Findings The positive effect of employees’ opportunity perceptions of AI on job crafting was attenuated by their threat perceptions. This attenuating effect was stronger for younger employees. Originality/value Our research extends categorization theory and the literature on AI perceptions by demonstrating the interaction effect of employees’ opposing perceptions of AI on job crafting and identifying age as a boundary condition for this interaction.

Baltic Journal of ManagementVol. 20(4)
Nanjing University of Information Science and Technology (CN), Wuhan University (CN)
Openalex Percentile: Top 1%
AI and HR Technologies
13.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.