Many of today's online services are designed specifically to encourage impulse buying. Moreover, many studies have shown that with the assistance of Mobile Augmented Reality, retailers have the potential to significantly improve their sales. However, the effects of Mobile AR on consumer impulse buying behavior have yet to be examined, particularly in the tourism field. Consequently, the present study integrates the Technology Acceptance Model (TAM), Stimulus-Organism-Response (SOR) framework, and flow theory to examine the effects of Mobile AR apps on tourist impulse buyingbehavior. The research model is implemented using an online questionnaire, with the results analyzed by Partial-Least-Squares Structural Equation Modeling (PLS-SEM) approach. The results obtained from 479 valid samples show that the characteristics of Mobile AR apps play an important role in governing tourist behavior in making unplanned purchases. In particular, as the utility, ease-of-use, and interactivity of the apps increase, the perceived enjoyment and satisfaction of the user also increase and give rise to a stronger impulse buying behavior. The results also reveal a mediating effect of the flow experience on the relationship between the perceived ease of use of the Mobile AR app and the user satisfaction in using the app. Overall, the findings presented in this study provide a useful source of reference for Mobile AR app developers, retailers, and tourism marketers in better understanding users' preferences for Mobile AR apps and strengthening their impulse buying behavior in the tourism context as a result.

Tourism is a potential industry as a new impetus for economic growth of Vietnam, and is identified as a key sector in Vietnamese economy, as such, the Vietnam government has identified the tourism industry as a key sector in the national economy and one of the crucial importance in securing its long-term growth. The study examines the role of tourism in driving the economic growth of Vietnam over the period of 1995-2013 by using Tourism-Led Growth Hypothesis (TLGH). The stability of TLGH is analyzed using a Rolling Window regression technique. The analyses performed in this study are based on an econometric methodology consisting of the pooled Ordinary Least Squares test, unit root test, co-integration analysis, and Granger causality test. The findings show that the TLGH is supported in the case of Vietnam. In other words, tourism has indeed played a key role in driving economic growth in Vietnam in recent decades. Moreover, the Rolling Window regression results confirm the stability of the TLGH in the case of Vietnam.

No abstract

The purpose of this study is to identify the main factors influencing a traveler's Destination Decision-Making Process (DDMP) by applying a hybrid Multi-Criteria Decision-Making (MCDM) model. To examine the relationship among the three dimensions such as tourist motivation, information searching process, decision making of the DDMP, the MCDM model, combining decision-making trial and evaluation laboratory (DEMATEL) and Analytic Network Process (ANP), was adopted. Based on a literature review, six main perspectives and fifteen criteria were extracted and subsequently validated by six tourism experts. A questionnaire was then constructed and answered by both tourism experts and tourists. The results show that the external search is the most important perspective, and it also influences the remaining perspectives. Furthermore, this work presents the criteria for each perspective. By proposing strategies to academics and practitioners, this study can serve as a valuable guide and reference for travel destinations in order to attract more tourists.

No abstract