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  • P-ISSN1013-0799
  • E-ISSN2586-2073
  • KCI

ISSN : 1013-0799

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Vol.42 No.1

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A Study on the Intent to Use Generative AI Tools by Researchers in the Field of Science and Technology

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2025, v.42 no.1, pp.455-488
https://doi.org/10.3743/KOSIM.2025.42.1.455
Se Hyeon Jeong (Yonsei University)
Jee Yeon Lee (Yonsei University)
Jeong, S. H., & Lee, J. Y. (2025). A Study on the Intent to Use Generative AI Tools by Researchers in the Field of Science and Technology. , 42(1), 455-488, https://doi.org/10.3743/KOSIM.2025.42.1.455

Abstract

Generative AI tools have recently gained significant attention as a key technology for enhancing researchers’ work efficiency in science and technology. However, there is a lack of empirical research in Korea regarding researchers’ intention to use these tools. Therefore, this study, based on the Unified Theory of Acceptance and Use of Technology (UTAUT), analyzed the influence of both generative AI tool characteristics and user characteristics on intention to use. It also examined the mediating role of performance expectancy. The study focused on science and technology researchers with experience using generative AI tools. An online survey of 246 participants revealed that generative AI tool characteristics positively influenced the intention to use. Similarly, the user characteristics of AI literacy and personal innovativeness also had a significant positive effect on intention to use. Among the influencing factors, effort expectancy did not significantly affect intention to use, while performance expectancy, social influence, and facilitating conditions did. Furthermore, performance expectancy fully mediated the relationship between intention to use and personalization, interactivity, and AI literacy. This study’s significance lies in its empirical examination of the factors determining Korean science and technology researchers’ intention to use generative AI tools, providing valuable implications for promoting their adoption. The findings can be used as a foundation for improving research support for science and technology researchers and bolstering the development of generative AI research tools.

keywords
generative AI tool, science and technology researchers, intention to use, tool characteristics, user characteristics, UTAUT
Received
2025-02-22
Revised
2025-03-04
Accepted
2025-03-10
Published
2025-03-01

Journal of the Korean Society for Information Management

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