Journal of Tourism Sciences is a leading Korean social science journal that publishes innovative high quality research articles for better understanding, planning, and management of tourism and related fields such as hospitality and leisure. Tourism is complicated multidimensional phenomenon that is composed of activities, industries, policies and as such, the journal welcomes papers that take an interdisciplinary approach from business administration, economics, sociology, anthropology, geography, urban planning, and more. The journal was first to offer integrated publication of the study of tourism sciences in South Korea and is the official scholarly peer review journal of the Tourism Sciences Society of Korea (TOSOK). Since it was first published in 1977, the journal has grown in quality, size and scope. In 2017, it earned recognition as a distinguished journal by the National Research Foundation of Korea. Only 34 journals were recognized as the category out 853 journals.
This study aims to provide a technically necessary reference value for producing immersive content in virtual tourism. In order to estimate the size of responsiveness of immersive content for VR tourism, the size of the responsiveness regarding animation, narration, and dynamics (the three properties that have the most significant influence on the number of views) were used in this study. One hundred fifty-two 360° VR videos posted on YouTube were purposively selected and they were compared in terms of responsiveness by simultaneously performing the estimation formula according to the Pythagorean definition and the cut-off point of Receiver Operating Characteristics (ROC) curve analysis. The results of the analyses showed that animation was the most significant discriminating power as a diagnostic tool. It elicited the most robust viewer responses out of all the virtual tourism immersive contents. This indicates that videos with added animation enhance storytelling and viewer immersion. Although the narration and dynamics had relatively weak predictive power, it still demonstrated a significant predicting power for an increase in the number of views. Throughout this study, numerical estimation and objective analyses of realistic types were possible. In addition, ROC research turned out to be a useful diagnostic tool in examining the predictive power for immersive content in virtual tourism.
Recently, hotel companies have been struggling with low economic growth, population decline and the oversupply of hotel markets. In particular, hotels are expected to suffer from external threats such as COVID-19. In this situation, the role of online word of mouth is becoming more important due to the influence of the Internet. While the importance of online reviews is emphasized from the perspective of hotel managers, current online review studies in the hospitality industry have been conducted primarily from the user's perspective and not many studies address online reviews from the perspective of hotel managers. Therefore, this study seeks to explore factors affecting ranking on TripAdvisor, one of the online review platforms. To present implications for the effective online review management strategy of the hotel. we attempted to explore the perspectives of hotel managers rather than the perspective of hotel customers A total of 103 hotel data were collected and the fuzzy-set Qualitative Comparative Analysis (fsQCA) was applied to analyze the data, resulting in a total of 4 types of patterns. We discovered four strategies to increase the rankings of TripAdvisor. First, in the case of a large hotel whose location is far from the airport, it is necessary to focus on the positive reviews. Second, if the latest number of reviews was not large, the manager's response was the most important regardless of the size or location of the hotel. Third, when the location of the hotel was close to the airport, manager's response was the most important. Lastly, in the case of a large hotel, it was most important to focus on the number of latest reviews. Based on the above strategy, practical implications for hotels to increase TripAdvisor's rankings were drawn and future research directions were presented.
Due to the recent impact of COVID-19, the form of conventions has changed rapidly to non-contact form. To adapt to trend changes, various attempts are underway in industries. Particularly, online convention has become the most common and universal form of non-face-to-face convention. The purpose of this study was to explore key factors of online convention service quality using a qualitative study method. Participants in the in-depth interview were 10 MICE industry workers who have experience in planning or operating online conventions from September 2020 to January 2021. Interviews were analyzed through the Colaizzi's phenomenological qualitative research method. A total of 71 formulated meanings were extracted based on meaningful answers from interviewees, of which 23 themes, 11 theme clusters and five categories were derived. Five categories were divided into 'quality of presenters and contents', 'quality of online convention platform', 'quality of digital environment', 'quality of service' and 'quality of marketing'. While some of the derived themes were similar to previous studies about service quality factors, this study verified the importance of the quality of speakers and contents, online platform, and digital environment quality that can replace face-to-face events.