The Effect of Artificial Intelligence Usage on Employee Service Innovation Behavior: An Information Exchange Perspective

ABSTRACT Artificial intelligence (AI) technologies have been increasingly adopted in service industries and are playing a crucial role in affecting service innovation. Drawing on the perspective of information exchange, our research investigates the impact of AI usage on employee service innovation behavior and the underlying mechanism. We conducted a qualitative study, an experimental study, and a field survey to test our hypothesized model. The findings indicate that AI usage at work reduces the information exchange between employees and customers, which, in turn, negatively affects employee service innovation behavior. However, job autonomy can mitigate the negative effects of AI usage on employee‐customer information exchange and service innovation behavior. Our research contributes to the literature on AI usage and service innovation and provides practical insights for using AI effectively in work settings.

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Institutions

Publication Details

Journal
Asia Pacific Journal of Human Resources
Published
2025-09-12
DOI
https://doi.org/10.1111/1744-7941.70032
Citations
2
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
4.96

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article

The Effect of Artificial Intelligence Usage on Employee Service Innovation Behavior: An Information Exchange Perspective

Xin Wei, Xinyue Li, Guangdi Tian, Min Cui et al.
2 citations
Asia Pacific Journal of Human Resources
AI in Service Interactions
4.96
article

The Effect of Artificial Intelligence Usage on Employee Service Innovation Behavior: An Information Exchange Perspective

Xin Wei, Xinyue Li, Guangdi Tian, Min Cui, Yue He
article en
2 citations

Abstract

ABSTRACT Artificial intelligence (AI) technologies have been increasingly adopted in service industries and are playing a crucial role in affecting service innovation. Drawing on the perspective of information exchange, our research investigates the impact of AI usage on employee service innovation behavior and the underlying mechanism. We conducted a qualitative study, an experimental study, and a field survey to test our hypothesized model. The findings indicate that AI usage at work reduces the information exchange between employees and customers, which, in turn, negatively affects employee service innovation behavior. However, job autonomy can mitigate the negative effects of AI usage on employee‐customer information exchange and service innovation behavior. Our research contributes to the literature on AI usage and service innovation and provides practical insights for using AI effectively in work settings.

Asia Pacific Journal of Human ResourcesVol. 63(4)
University of International Business and Economics (CN), Renmin University of China (CN)
University of International Business and Economics, National Natural Science Foundation of China
Openalex Percentile: Top 5%
AI in Service Interactions
4.96
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