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Antecedents of Perceived Usefulness (PU) and Perceived Ease-of-Use (PEOU) in the Heuristic-Systematic Model : The Context of Online Diabetes Risk Test

첫 페이지 보기
  • 발행기관
    한국정보기술응용학회 바로가기
  • 간행물
    JITAM 바로가기
  • 통권
    Vol.31 No.5 (2024.10)바로가기
  • 페이지
    pp.17-39
  • 저자
    Hai Thi Thanh Nguyen, Tommi Tapanainen, Sam Zaza, Isto Huvila
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A458782

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초록

영어
E-Health services are seen as promising to healthcare promotion, but low usage by patients limits their effectiveness. The Technology Acceptance Model (TAM) has shown to be explanatory in the adoption of e-Health services. As the use of e-Health for self-management grows, it is important to identify factors influencing perceived ease-of-use (PEOU) and usefulness (PU) to encourage acceptance. However, the selection of external variables in this context lacks a clear pattern. We applied the Heuristic-Systematic Model (HSM) with the aim of further explaining the external variables in TAM especially in the area of e-health, and selected three external variables: information quality, health information literacy, and social influence. Hence, our study combines the Heuristic-Systematic Model (HSM) and TAM to investigate the mechanism and external factors that promote individuals to act for their health benefits. A total of 198 responses were collected among people having completed an online diabetes risk test on the website of the Finnish Diabetes Association. This data was then analyzed using partial least squares structural equation modeling (PLS-SEM). Our study finds that heuristic cues like health information literacy and social influences impact PEOU, while systematic cues, especially information quality, positively influence PU. Also, higher PU is associated with increased intention to use e-Health services and engage in health-promoting actions, highlighting the importance of the systematic path in the e-Health context. Our theoretical contributions are twofold. First, we add to TAM research in the area of e-health by providing an explanation why heuristic cues link to PEOU while systematic cues link to PU. Second, our research is among very few applying HSM to e-health and finds that overall, the systematic path is more influential than the heuristic path. We also provide practical advice for healthcare providers to improve the impact of their e-health initiatives.

목차

Abstract
1. Introduction
2. Literature Review and Hypothesis Development
2.1 Heuristic-Systematic Model (HSM)
2.2 Technology Acceptance Model (TAM)
2.3 Research Model
3. Research Method
3.1 Development of Measurement Tools
3.2 Sample Collection
4. Data analysis and Results
4.1 Measurement (outer) Model
4.2 Structural Model
4.3 Post-Hoc analysis
5. Discussion
6. Contributions and Implications
6.1 Theoretical contributions
6.2 Practical Contributions
7. Limitations
References

저자

  • Hai Thi Thanh Nguyen [ Lecturer, University of South Wales ] First Author
  • Tommi Tapanainen [ Associate Professor, Department of Global Studies, Pusan National University ] Second and Corresponding Author
  • Sam Zaza [ Associate Professor, Middle Tennessee State University ] Third Author
  • Isto Huvila [ Professor, Uppsala University ] Fourth Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국정보기술응용학회 [The Korea Society of Information Technology Applications]
  • 설립연도
    1999
  • 분야
    사회과학>경영학
  • 소개
    본 학회는 정보기술 관련 분야의 연구 및 교류를 촉진하여 국가 및 기업정보화 발전에 공헌함을 그 목적으로 한다.

간행물

  • 간행물명
    JITAM [Journal of Information Technology Applications and Management]
  • 간기
    격월간
  • pISSN
    1598-6284
  • eISSN
    2508-1209
  • 수록기간
    1999~2026
  • 십진분류
    KDC 005 DDC 005

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