Exploring intentions to adopt GenAI in academia: perceived usefulness and attitudes among scholars and researchers

This study aims to investigate scholars’ and researchers’ perceptions, attitudes, and intentions toward using generative artificial intelligence (GenAI) in academic research. Employing a cross-sectional survey, data were collected from 1,283 participants in China. After removing missing values, 1150 valid responses were analyzed. Results indicate that perceived usefulness of GenAI was positively associated with attitudes (β = 0.489, p < 0.001) and directly associated with usage intention (β = 0.385, p < 0.001). Furthermore, attitudes toward GenAI had a positive effect on usage intention (β = 0.323, p < 0.001) and mediated the association between perceived usefulness and intention (indirect effect = 0.157, Boot95% CI [0.120, 0.199]). These findings underscore that positive perceptions of GenAI’s usefulness are associated with more favorable attitudes and stronger intentions to adopt it in research. By applying the Technology Acceptance Model (TAM) to GenAI adoption, this study highlights the need for academic institutions to promote responsible use through ethical guidelines, training programs, and awareness campaigns, which may facilitate effective integration into research practices.

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Publication Details

Journal
Humanities and Social Sciences Communications
Published
2026-10-26
DOI
https://doi.org/10.1057/s41599-026-09525-6
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
0.00

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article

Exploring intentions to adopt GenAI in academia: perceived usefulness and attitudes among scholars and researchers

Xinshu Zhao, Jiazheng Zayn Wang, Yidi Wang, Yongjun Huang
Humanities and Social Sciences Communications
Technology Adoption and User Behaviour
article

Exploring intentions to adopt GenAI in academia: perceived usefulness and attitudes among scholars and researchers

Xinshu Zhao, Jiazheng Zayn Wang, Yidi Wang, Yongjun Huang
article en

Abstract

This study aims to investigate scholars’ and researchers’ perceptions, attitudes, and intentions toward using generative artificial intelligence (GenAI) in academic research. Employing a cross-sectional survey, data were collected from 1,283 participants in China. After removing missing values, 1150 valid responses were analyzed. Results indicate that perceived usefulness of GenAI was positively associated with attitudes (β = 0.489, p < 0.001) and directly associated with usage intention (β = 0.385, p < 0.001). Furthermore, attitudes toward GenAI had a positive effect on usage intention (β = 0.323, p < 0.001) and mediated the association between perceived usefulness and intention (indirect effect = 0.157, Boot95% CI [0.120, 0.199]). These findings underscore that positive perceptions of GenAI’s usefulness are associated with more favorable attitudes and stronger intentions to adopt it in research. By applying the Technology Acceptance Model (TAM) to GenAI adoption, this study highlights the need for academic institutions to promote responsible use through ethical guidelines, training programs, and awareness campaigns, which may facilitate effective integration into research practices.

Humanities and Social Sciences Communications
Chongqing Normal University (CN), University of Macau (MO), Huazhong University of Science and Technology (CN), Tsinghua University (CN)
Universidade de Macau, Chongqing Municipal Education Commission
Openalex Percentile: Top 7%
Technology Adoption and User Behaviour
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