721
Views
11
CrossRef citations to date
0
Altmetric
Original Articles

Verification of Destination Attachment and Moderating Effects in the Relationship Between the Perception of and Satisfaction with Tourism Destinations: A Focus on Japanese Tourists

Pages 757-769 | Received 31 Mar 2015, Accepted 24 Dec 2015, Published online: 26 May 2016
 

ABSTRACT

In this study, a model is presented and verified using the concepts of risk factor, destination image, destination attachment, and destination satisfaction as they are perceived by international tourists. The relationships between these concepts were analyzed among 435 Japanese tourists who visited Seoul Korea. The Structural Equation Model (SEM) analysis results reveal: (1) physical risk, health risk, and psychological risk perceived by Japanese tourists have negative effects on the destination image; (2) destination image improves destination satisfaction; (3) destination attachment has a moderating effect on the relationship between two risks (physical and health) and destination image. The results of this study are discussed in terms of theoretical and practical suggestions for destination marketing and management.

Additional information

Notes on contributors

Hae-Kyung Sohn

Hae-Kyung Sohn is Assistant Professor, Department of Hotel and Tourism, Incheon Jaeneung University, 178 Jaeneung-ro, Dong-gu, Incheon 22574, South Korea (E-mail: [email protected]).

Yoo-Shik Yoon

Yoo-Shik Yoon is Professor, College of Hotel and Tourism Management, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul 02447, South Korea (E-mail: [email protected]).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 309.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.