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Empirical Validation of Information, Service, and Personal Characteristics Influencing Adoption Intentions of Generative AI Services : A Focus on ChatGPT

첫 페이지 보기
  • 발행기관
    한국경영정보학회 바로가기
  • 간행물
    Asia Pacific Journal of Information Systems KCI 등재 SCOPUS 바로가기
  • 통권
    제36권 제3호 (2026.09)바로가기
  • 페이지
    pp.649-674
  • 저자
    Jiajia Wang, Hyungjin Lukas Kim, Boram Kwon, Jeongwook Kim, Youngwoo Sohn
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A492688

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원문정보

초록

영어
Generative AI technologies like ChatGPT have rapidly gained global attention, yet research on their practical applications and user perceptions remains limited. This study addresses these gaps by investigating the factors that influence ChatGPT usage, aiming to enhance the development and adoption of generative AI services. ChatGPT’s characteristics are categorised into information, service, and personal dimensions. Empirical analysis shows that integration and timeliness positively impact perceived usefulness and ease of use, while accuracy does not significantly affect either factor. Convenience enhances perceived ease of use but not usefulness, while compatibility unexpectedly exerts a negative effect on perceived usefulness. Playfulness strongly increases perceived usefulness, whereas self-efficacy unexpectedly reduces it. Differences between experienced and inexperienced users are also identified, offering deeper insights into user behaviour. By clarifying the key drivers and barriers to ChatGPT acceptance, this study provides important academic contributions and practical strategies for developers and organisations seeking to maximise the potential of generative AI technologies.

목차

ABSTRACT
Ⅰ. Introduction
Ⅱ. Literature Review and Hypotheses Development
2.1. Research on Generative AI Focused on ChatGPT
2.2. Information Characteristics
2.3. Service Characteristics
2.4. Personal Characteristics
2.5. Ease of Use, Usefulness, and Intention to Use
Ⅲ. Method
3.1. Data Collection
3.2. Measurements
Ⅳ. Analysis and Result
4.1. Measurement Model
4.2. Structural Model Results
4.3. Additional Analysis
Ⅴ. Discussion and Implications
5.1. Discussion
5.2. Theoretical Implications
5.3. Practical Implications
5.4. Limitations and Future Research Opportunities
Declarations
Acknowledgment

저자

  • Jiajia Wang [ Lecturer, School of Economics and Management, Shanghai Zhongqiao Vocational and Technical University, Shanghai, China ]
  • Hyungjin Lukas Kim [ Associate Professor, Department of Future and Convergence Business Administration, Myongji University, Korea ] Corresponding Author
  • Boram Kwon [ Assistant Professor, College of Business, The Catholic University of Korea, Korea ]
  • Jeongwook Kim [ The Director of Plantynet Ltd. and KMW Inc., and an Adjunct Professor, Sejong University, Korea ]
  • Youngwoo Sohn [ Associate Professor, Department of Future Science and Technology Business, Korea University, Korea ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국경영정보학회 [The Korea Society of Management information Systems]
  • 설립연도
    1989
  • 분야
    사회과학>경영학
  • 소개
    이 학회는 경영정보학의 연구 및 교류를 촉진하고 학문의 발전과 응용에 공헌함을 목적으로 합니다.

간행물

  • 간행물명
    Asia Pacific Journal of Information Systems
  • 간기
    계간
  • pISSN
    2288-5404
  • eISSN
    2288-6818
  • 수록기간
    1990~2026
  • 등재여부
    KCI 등재,SCOPUS
  • 십진분류
    KDC 325 DDC 658

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