2019, Vol.43, No.1

Journal of Tourism Sciences 2023 KCI Impact Factor : 2.7

pISSN : 1226-0533 / eISSN : 2713-6388
https://journal.kci.go.kr/JTS

This study developed indicators to forecast the optimal number of employees for hotel MICE and to investigate empirically the reliability and validity of those indicators. The dominant approach to manpower planning has long been based on heuristic experience in the hotel and MICE fields, and there is little research in hotel and MICE studies. A focus group interview and two rounds of Delphi technique were conducted to achieve the study goal. Moreover, 289 samples were collected to test the validity and the reliability of the finalized indicators. The study developed 35 indicators with seven factors. This study contributes to the academic and the practical hospitality sectors by helping to identify indicators that would allow a more accurate forecast of the optimal number of employees for hotel MICE.

With the continuing advancements in augmented reality (AR) technology, there is a growing interest in developing AR mobile applications for the tourism industry. However, there is a lack of research on AR contents related to tourism. Most studies have focused on the technological applications of AR and have not truly considered what factors affect how users actually use them. This study analyzed “Visited Changgyeong Palace in My Hand” and adapted experience economy constructions in order to evaluate AR apps to prove that the constructions have an effect on tourists' satisfaction and behavioral intention. An individual survey was conducted to tourists who had experienced that AR app. The results of this study found that all experience economy constructions showed a positive influence on the satisfaction of tourists. In addition, it indicated that satisfaction had a direct significant influence on tourists' behavioral intention. Finally, these results demonstrated convincingly that experience economy constructions could be applied to AR apps in the tourism industry. These results could help developers find a proper development direction for AR apps.

Who feels happier between collective and individual sports participants? The purpose of this study was to examine the impact of relatedness on subjective well-being depending on the type of leisure sports. Accordingly, 788 adults participating in leisure sports in South Korea were divided into the categories of collective and individual leisure sports participants. Relatedness in sports, leisure sports participation behavior, leisure satisfaction, and subjective well-being were analyzed. The results of this study are as follows. First, collective leisure sports participants had higher mean values in leisure satisfaction as well as subjective well-being than individual ones. Additionally, the difference was statistically significant. Second, relatedness in sports bore a statistically significant impact on both leisure satisfaction and subjective well-being, regardless of the demographic characteristics as controlled variables. The importance of relatedness in leisure sports is discussed and academic and practical implications are provided in this study.