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Online Tourism Review : Three Phases for Successful Destination Relationships

원문정보

초록

영어
This study developed a conceptual model that integrated psychological and physical reactions resulting from online tourism reviews through a longitudinal trust-satisfaction model (LSTM) developed based on the extended valence framework and expectation–confirmation theory. Online reviews are essential factor of consumer’s purchase decision. This phenomenon is well applied in a tourism context. However, investigations on online reviews in a longitudinal approach in a tourism context are quite limited. Therefore, this study suggests a conceptual model based on LTSM and several propositions about how online tourism reviews, which are divided into factual and experiential reviews, influence the future travelers’ perceptions and attitudes, such as expectation, confirmation, and destination loyalty, in a longitudinal format by examining previous related studies. Finally, expected results were discussed and several implications were described theoretically and practically.

목차

ABSTRACT
 Ⅰ. Introduction
 Ⅱ. Underpinning Theories
  2.1. Online Tourism Review
  2.2. Longitudinal Trust-Satisfaction Model (LTSM)
 Ⅲ. Propositions Development
  3.1. Pre-trip Phase
  3.2. On-Trip Phase
  3.3. Post-Trip Phase
 Ⅳ. Conclusion
 

저자

  • Chulmo Koo [ Associate Professor, Department of Convention Management, College of Hotel & Tourism Management, Kyung Hee University, Korea ]
  • Seunghun Shin [ Research Assistant, Graduate School, Department of Convention & Exhibition Management, Kyung Hee University, Korea ]
  • Sunyoung Hlee [ Researcher, Graduate School, Department of Convention & Exhibition Management, Kyung Hee University, Korea ]
  • Daeseop Moon [ Senior Researcher, Korea Railroad Research Institute, Korea ]
  • Namho Chung [ Associate Professor, Department of Hotel Management, College of Hotel & Tourism Management, Kyung Hee University, Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      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