• The influence of generative ar...

*Result*: The influence of generative artificial intelligence usage on employees' innovative job performance.

Title:
The influence of generative artificial intelligence usage on employees' innovative job performance.
Authors:
Zhang H; School of Economics and Management, Anhui Normal University, Wuhu, Anhui, China., Zhu L; School of Economics and Management, Anhui Normal University, Wuhu, Anhui, China., Zhang A; School of Economics and Management, Anhui Normal University, Wuhu, Anhui, China., Shohruh K; School of Economics and Management, Anhui Normal University, Wuhu, Anhui, China.
Source:
PloS one [PLoS One] 2026 Jan 22; Vol. 21 (1), pp. e0327786. Date of Electronic Publication: 2026 Jan 22 (Print Publication: 2026).
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Imprint Name(s):
Original Publication: San Francisco, CA : Public Library of Science
MeSH Terms:
Artificial Intelligence* , Work Performance*, Humans ; Female ; Male ; Adult ; Job Satisfaction ; Surveys and Questionnaires ; Middle Aged ; Workplace ; Generative Artificial Intelligence
References:
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Entry Date(s):
Date Created: 20260122 Date Completed: 20260122 Latest Revision: 20260125
Update Code:
20260130
PubMed Central ID:
PMC12826493
DOI:
10.1371/journal.pone.0327786
PMID:
41570004
Database:
MEDLINE

*Further Information*

*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.
(Copyright: © 2026 Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)*

*The authors have declared that no competing interests exist.*