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A Study on the Information Adoption Process in ChatGPT

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2025, 30(7), pp.159~169
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : June 24, 2025
  • Accepted : July 22, 2025
  • Published : July 31, 2025

Yujin Kim 1 Hyung-Seok Lee 1

1충북대학교

Accredited

ABSTRACT

This study investigates the factors influencing users’ continuous intention to use ChatGPT, a generative AI service, through the integration of the Information Adoption Model (IAM). It specifically examines the effects of information accuracy, completeness, relevance, and source credibility on perceived usefulness. The study further explores how perceived usefulness affects information adoption, perceived trust, and perceived risk, and how these variables ultimately impact continuous intention to use. This study employed structural equation modeling (SEM) for data analysis. The results indicate that most of the proposed hypotheses were supported, although perceived risk did not significantly influence continuous intention to use. Information characteristics had an impact on perceived usefulness, which in turn played a central role in shaping users’ trust, risk perception, and information adoption. These findings offer both theoretical implications for understanding user acceptance in generative AI and practical guidance for designing user-centered AI systems.

Citation status

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