Digital technology has been increasingly applied in the traditional tourism forms, including the heritage tourism. However, the role of technology and tradition for attracting tourists in industrial heritage tourism destinations has not been clearly identified. To narrow the research gaps, this study adopted a two stage study, based on grounded theory and factor analyses. In Study 1, through the data analysis of 60 in-depth interviews, 10 stimuli factors in 3 categories were identified. In Study 2, a questionnaire was developed based on the results of Study 1, through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), we established and tested a model of on-site stimulus factors. Findings can deepen the understanding of industrial heritage tourism from a tourist perspective and offer practical implications.

Religious tourism is one of the most important touristic segments globally. Yet, the cognitive and emotional processes shaping destination loyalty in this context, and the impacts of Augmented Reality (AR) technology were not fully investigated. This study takes a unique approach to examine how awe influences recommendation and revisiting intentions through the mediation of rational (e.g., authenticity) and affective (e.g., emotional) mechanisms. Furthermore, our research unveils the role of AR for reinforcing the future intentions of tourists towards a religious site.

Tourists tend to conform to the majority in their purchase decisions to avoid negative outcomes. Therefore, newly developed yet unpopular tourism destinations are facing difficulty of promotion. On the basis of evolutionary psychology, this study aims to provide a technique of selling unpopular tourism destinations based on tourists’ mating motive, as implied by evolutionary psychology. Many studies have focused on situations when people conform to the majority, whereas a few studies have indicated that individuals also deliberately follow the minority in purchase decisions (Chan et al., 2012; Wang et al., 2012). Research indicates that individuals tend to showcase unique products to attract mates (Chen et al., 2022; Durante & Griskevicius, 2016). Tourists’ mating motive may be activated when their travel decisions are related to mating success. This study hypothesizes that to display differentiation, tourists with activated mating motives are more likely to choose minority-endorsed (vs. majority-endorsed) tourism destinations. Moreover, to verify the evolutionary explanation of tourists’ preference for minority-endorsed destinations, the current study also tests the mediation effect of uniqueness seeking, which has been regarded as a consequence of mating motive and an antecedent of individuals’ disconformity to the majority (Griskevicius, Cialdini, et al., 2006; Imhoff & Erb, 2009). Based on a scenario-based experiment, this study identified the effect of mating motive on tourists’ preference for minority-endorsed tourism destinations. First, tourists’ mating motives positively influence their preference for minority-endorsed tourism destinations. Second, tourists’ uniqueness seeking fully mediates the effect of mating motive on preference for minority-endorsed tourism destinations. The findings inform the tourism industry an effective way to promote unpopular destinations. Tourists are inclined to follow the choice or opinions of others, particularly when tourists are highly uncertain about their decision outcomes. Therefore, tourism marketers usually utilize social clues in their promotion messages such as “popular choice” and “best sellers.” However, newly developed tourism products that lack awareness, though providing high-quality experience, are facing tremendous difficulty of selling. The current study suggests that the less popular destinations can be rebranded and promoted to target romantically motivated tourists.

This paper describes Natural Language Processing techniques to extract patterns of destination image formation from Social Media postings. In a pilot study, we show how Twitter postings can be mined to uncover travel motivations and values for various travel destinations; we also explore the mental representations that underly these values and motivations. While this pilot study is subject to limitations, the results demonstrate that Twitter data is a compelling source of information about travellers and destinations.

This research was conducted with the aim to reveal the influence of online travel communities on tourism destinations choice, with the focus on the Russian tourism market. The preliminary results indicated that social media has significant influence on consumer behaviour and decision-making process of Russian travellers. Still, there is additional activity of Russian tourist market actors is needed to more fully use the opportunities of online travel communities.

Lembang is tourism destination in Indonesia. This research is conducted to find the effect of hobbies and lifestyle on choosing tourism destinations as reference to make creative marketing program to attract customers and increasing frequency of revisit. Hobbies of music and saving lifestyle do affect tourists’ interest on choosing destinations.

The purpose of this study was to utilize the K-MBI (Korean Modified Barthel Index) and subscales of K-MBI in predicting the length of hospital stay (LOS) and the discharge destinations for stroke patients. The study population consisted of 97 stroke patients (57 men and 40 women) admitted to the Seoul National University at the Bundang Hospital. All participants were assessed by K-MBI at admission and discharge after rehabilitation therapy and the information available was investigated at admission. The data were analyzed by using the Mann-Whitney U test, the stepwise multiple regression and the logistic regression. The median LOS was 30 days (mean, 32.8 days; range, 22 to 43 days). The K-MBI score at initiation of rehabilitation therapy (p<.001), the type of stroke and living habits before a stroke were the main explanatory indicators for LOS (p<.05). Within the parameters of K-MBI measured at initiation for rehabilitation, feeding and chair/bed transfer were the explanatory factors for LOS prediction (p<.01). Confidence in the prediction of LOS was 20%. Significant predictors of discharge destination in a logistic regression model were the discharge K-MBI score, sex and hemiplegic side. Dressing in items of discharge K-MBI was the significant predictor of discharge destination. The K-MBI score was the most important factor to predict LOS and discharge destination. Knowledge of these predictors can contribute to more appropriate treatment and discharge planning.

The study aims to assess the impact of destination image, satisfaction and loyalty of tourists at mountain destinations in Thanh Hoa province, Vietnam. The study involves questionnaire surveys and multivariate data analysis methods (Cronbach Alpha test, EFA, CFA, SEM). Research results from 500 tourists in the mountain destinations of Thanh Hoa province demonstrate that all factors have imposed a positive impact on tourist satisfaction, specifically: The most influential factor is Natural features, followed by Human factors while the least influential factor is Infrastructure; On the other hand, research results also demonstrate that satisfaction has a substantial impact on tourist loyalty. Based on the research results, we also proposed some key solutions to enhance the destination image, thereby contributing to increased satisfaction and loyalty of tourists, including: (i) Promoting Natural Tourism Resources. (ii) Raising Awareness of Environmental Protection. (iii) Building Local Cultural Identity. (iv) Building Exclusive Tourist Products. (5) Strengthening the Support of Local Authorities for Tourism Activities. (vi) Developing a Price Policy.

The study examines economic and environmental impacts of mass tourism on regional tourism destinations, particularly the establishment of “Ten New Bali”, in Indonesia. The sample is restricted to the period of time in which annual data is available and comparable among variables from 1980 to 2015 (36 observations). All of the time series data was collected and retrieved from the World Development Indicator database published by the World Bank. This study applies cointegrating regression analysis using the fully modified OLS, canonical cointegrating regression, and dynamic OLS. The results of the study suggest that 1) there is a long-run equilibrium relationship between tourism receipts, environmental degradation and economic growth in Indonesia, 2) tourism growth and agriculture land growth are positively related to an increase of total output in the short-run in Indonesia, and 3) arable land is significant at the 0.01 level, but forest rents and CO2 from transport are not significant in the short-run in Indonesia. The results confirm that arable land is negatively related to an increase of total output in Indonesia. That is, when tourism growth in the economy is getting realized it shows that the environmental degradation increases greatly in inverse in the model, eventually negative impacts to the environment.

Purpose – The purpose of this study is to examine the image similarity and attribute recognition of the top 10 rated spa destinations (Chungnam Deoksan, Chungnam Dogo, Busan Dongrae, Daejeon Yuseong, Chungnam Asan, Gyeongbuk Bomun, Chungbuk Suanbo, Gyeongnam Jangyu, Chungnam Onyang, & Gyeongbol Bugok) in Korea based on the visits to these spa places by the customers. Research design, data, and methodology – The survey of this study was conducted on the visitors to the top 10 spa destinations in Korea from April 8 ∼ April 21, 2017, and a total of 300 questionnaires were distributed. Of them, effective questionnaires used in the final study were a total of 241. In this study, empirical analysis was made through frequency analysis, factor analysis, and multidimensional scaling ALSCAL(spinning symmetry for image similarity and rectangle for attributes recognition) by using the Statistics Package SPSS 24.0. Results – According to the analysis result of spa destination image similarity, the stress level was 0.16453 and the level of the stress was good. Moreover, the coefficient of determination (RSQ) was, which had a description of each aspect of the spa destination, 0.79908. According to the results of attribute recognition, the stress value of 0.11805 represents a degree of conformity, and the coefficient of determination(RSQ) appeared at 0.98665. Therefore, the results of this analysis are that the similarities between spa destinations and the attribute recognition of the spa destinations is a suitable model that is properly expressed in two dimensions. Conclusions – First, according to the analysis result of image similarity, Deoksan & Dogo spa revealed similar images, as well as the Dongrae and Yuseong spa, while on the contrary Asan, Bomun, Suanbo spa has different images from the rest. Second, according to the results of attribute recognition, Asan and Onyang spa has competitiveness in terms of accessibility to spa destination; Yuseong, Dongrae, Jangyu spa in terms of spa facilities, spa tourism conditions, and service & shopping conditions. while spa water quality and spa costs showed low attribute reflection for all 10 spas. Therefore, the spa visitors cannot recognize the differentiation of spa water quality and spa costs.

The competitiveness of a country or a city plays an important role as a determining factor in this age of globalization In view of tourism studies, the potential for a region to develop depends primarily on its ability to use and maintain economic advantages in its provision of tourist products and services. In spite of the importance of competitiveness in tourism studies, few researches have been done on competitiveness in Korea The purpose of this study is, therefore, to conduct a comparative analysis of competitiveness between coastal metropolitan cities in Korea-Busan, Ulsan and Incheon- developing tourism index and finding out urban competitiveness. The findings of this study will contribute to enhancing tourism promotion and mutual network with other cities and attracting domestic and international tourists.