Impact of AI stress perception on practitioners’ ambidextrous innovation behavior

The labor market upheaval caused by technological revolutions has increasingly intensified AI stress perception among professionals across various industries. Understanding how employees can better handle AI stress has emerged as a pivotal research theme in both academic and business circles. This study aims to investigate the potential positive outcomes of AI stress perception, offering a fresh perspective to the realm of AI stress research. Based on the stress appraisal theory, it delves into how job crafting, in the face of AI stress perception, becomes a critical method for practitioners to tackle challenges and foster innovative actions. Additionally, this research takes into account thepersonal characteristics of practitioners, exploring how their risk propensity moderates the relationship between AI stress perception and job crafting ( both promotion-oriented and prevention-oriented) and subsequently influences therelationship between AI stress perception and innovation behavior. A survey of 330 employees and their leaders in the media industry indicated that practitioners’ risk propensity moderates the link between AI stress perception and innovative behavior: those with higher risk propensity experience a more pronounced positive impact of AI stress perception on exploratory innovation through promotion-oriented job crafting, whereas those with lower risk propensity exhibit a more significant positive effect on exploitative innovation through prevention-oriented job crafting.

Authors

Publication Details

Journal
Zhongguo ruankexue
Published
2025-06-28
DOI
https://doi.org/10.3724/1005-0566.20250619
Citations
1
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
1.24
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of AI stress perception on practitioners’ ambidextrous innovation behavior

YE Suyang, ZHANG Yawei, XIAO Yuchun, GAO Mengli
1 citations
Zhongguo ruankexue
Digital Transformation in Industry
1.24
article

Impact of AI stress perception on practitioners’ ambidextrous innovation behavior

YE Suyang, ZHANG Yawei, XIAO Yuchun, GAO Mengli
article en
1 citations

Abstract

The labor market upheaval caused by technological revolutions has increasingly intensified AI stress perception among professionals across various industries. Understanding how employees can better handle AI stress has emerged as a pivotal research theme in both academic and business circles. This study aims to investigate the potential positive outcomes of AI stress perception, offering a fresh perspective to the realm of AI stress research. Based on the stress appraisal theory, it delves into how job crafting, in the face of AI stress perception, becomes a critical method for practitioners to tackle challenges and foster innovative actions. Additionally, this research takes into account thepersonal characteristics of practitioners, exploring how their risk propensity moderates the relationship between AI stress perception and job crafting ( both promotion-oriented and prevention-oriented) and subsequently influences therelationship between AI stress perception and innovation behavior. A survey of 330 employees and their leaders in the media industry indicated that practitioners’ risk propensity moderates the link between AI stress perception and innovative behavior: those with higher risk propensity experience a more pronounced positive impact of AI stress perception on exploratory innovation through promotion-oriented job crafting, whereas those with lower risk propensity exhibit a more significant positive effect on exploitative innovation through prevention-oriented job crafting.

Zhongguo ruankexueVol. 40(6)
Industry, innovation and infrastructure
Openalex Percentile: Top 16%
Digital Transformation in Industry
1.24
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.