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January 25, 2026PLoS ONE2 citationsOpen Access

The influence of generative artificial intelligence usage on employees’ innovative job performance

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HZHui ZhangAnhui Normal UniversityLZLidong ZhuUniversity of Electronic Science and Technology of ChinaAZAyuan ZhangNanjing University of Information Science and Technology

Key Points

  • The central aim is to explore the relationship between generative AI tool usage and employees' innovative job performance.
  • Analyzed survey data from 366 employees nationwide
  • Applied Uses and Gratifications Theory framework
  • Assessed both cognitive and social uses of GenAI tools
  • Evaluated impacts on job satisfaction and innovative performance
  • Cognitive and social uses of GenAI tools significantly enhance innovative performance
  • Cognitive use facilitates knowledge transfer behaviors
  • Social use enhances resource acquisition
  • Improved job satisfaction directly contributes to better innovative performance

Abstract

The rapid advancement of AI technology has accelerated the adoption of generative artificial intelligence (GenAI) tools in the workplace, eroding the boundaries between professional responsibilities and personal space, thus impacting employees’ innovative performance. This study empirically examines the link between innovative job performance and GenAI tool usage, framed through the Uses and Gratifications Theory. Analyzing survey data from 366 employees nationwide revealed that: (1) both cognitive and social uses of GenAI tools significantly enhance innovative performance; (2) cognitive use primarily facilitates knowledge transfer behaviors, while social use bolsters resource acquisition. Enhanced knowledge transfer and resource acquisition, in turn, improve job satisfaction, which is pivotal in driving innovative performance. This study introduces a novel framework for utilizing GenAI tools to optimize and manage employee performance within organizational settings.

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Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/6975b2c8feba4585c2d6e41ahttps://doi.org/10.1371/journal.pone.0327786
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