Earticle

The Effects of Consultation Mode and Privacy Concerns on Patients’ Self-disclosure Behavior in Online Health Community

  • 간행물
    한국경영정보학회 정기 학술대회 바로가기
  • 권호(발행년)
    2021 한국경영정보학회 추계통합학술대회 (2021.11) 바로가기
  • 페이지
    pp.319-321
  • 저자
    Xin Liu, Ping Li, Lu Liu, Younghoon Chang
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A402844

원문정보

초록

영어
Improving patient information disclosure is the premise to ensure treatment effect. This study explores the effects of different interaction modes (human doctor, AI doctor, and the combination of the two) and different degrees of privacy concerns on patients’ self-disclosure behavior. The research results will provide academic and practical implications for improving the application of artificial intelligence in telemedicine services.

목차

Abstract
Introduction
Literature Review
Hypotheses
Research Method
Expected Result and Future Study
Significance of the Study
Acknowledgements
References

저자

  • Xin Liu [ School of Management and Economics Beijing Institute of Technology ]
  • Ping Li [ School of Management and Economics Beijing Institute of Technology ]
  • Lu Liu [ School of Management and Economics Beijing Institute of Technology ]
  • Younghoon Chang [ School of Management and Economics Beijing Institute of Technology ] Corresponding author

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      한국경영정보학회 정기 학술대회 [KMIS Conference]
    • 간기
      반년간
    • 수록기간
      1990~2025
    • 십진분류
      KDC 325 DDC 658