Industry Promotion Research 2025 KCI Impact Factor : 1.16
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pISSN : 2466-1139 / eISSN : 2714-013X
- https://journal.kci.go.kr/ipir
KJCKorea
Journal Central
How ChatGPT Self-Efficacy and User Characteristics Influence Information-Seeking Behavior via Performance and Effort Expectations: Moderating Role of Interface Concerns
- Industry Promotion Research
- Abbr : IPR
- 2025, 10(4), pp.73~88
- DOI : 10.21186/IPR.2025.10.4.073
- Publisher : Industrial Promotion Institute
- Research Area : Interdisciplinary Studies > Interdisciplinary Research
- Received : September 16, 2025
- Accepted : October 16, 2025
- Published : October 31, 2025
Hyung-June Kim 1, Young Wook Seo 1
1대전대학교
Accredited
ABSTRACT
This study examined the effects of ChatGPT self-efficacy and characteristics on information-seeking behavior through performance expectancy and effort expectancy, and verified the moderating effect of ChatGPT interface concerns. The research model was validated using data collected through a survey of 300 office workers across various industries in Korea from August 5 to 14, 2025, with analysis conducted using SmartPLS. The main findings are as follows. First, ChatGPT self-efficacy had a significant effect on both effort expectancy and performance expectancy, with a particularly stronger influence on effort expectancy. Second, ChatGPT characteristics significantly influenced both performance expectancy and effort expectancy, with a greater effect on performance expectancy. Third, both performance expectancy and effort expectancy had significant effects on information-seeking behavior, confirming the mediating role of the technology acceptance model. Fourth, interface intrusion concerns significantly moderated the relationship between effort expectancy and information-seeking behavior, but the moderating effect with performance expectancy was not significant, confirming only a partial moderating effect. These findings suggest that enhancing users' self-efficacy and understanding of system characteristics is important when implementing generative AI, and that strategies to mitigate interface intrusion concerns are essential for effective utilization of ChatGPT.
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