International Journal of Tourism Research最新文献

This perspective article aims at identifying topics for further research based on techniques for tracking the mobility of tourists in areas with low population density, characterized by scarcity of public transport often coexisting with sensitive natural ecosystems. Supported by a systematic scoping review, it identifies studies undertaken in four continents, even though all the articles were published during the last two decades. Marketing approaches and planning for sustainability are the main objectives identified. The works contribute for developing techniques and methodologies for data collection and analysis but the contribution for the emergence of new concepts or theories is limited. The results of this survey suggest that a shift from the focus on individual forms of mobility of tourists to a closer connection to collective forms of transport, mobility of resident populations or emergent concepts in transport studies may contribute for more innovative conceptual or theoretical approaches.

This study investigates the mediating role of absenteeism on the relationship between burnout and turnover intention, and the moderated mediating role of emotional intelligence on the relationship between burnout and absenteeism among Korean flight attendants, utilizing a structural equation modeling approach. Empirical data were collected from 183 flight attendants with over 1 year of experience in the airline industry. Initial responses were analyzed using confirmatory factor analysis, revealing that burnout symptoms are driven by four factors: physical, emotional, socio-relational, and attitudinal. Subsequent data analysis indicated that all four factors significantly impact absenteeism and turnover intentions. Furthermore, emotional intelligence was found to play a significant moderating role in the relationship between burnout symptoms and absenteeism. As burnout symptoms increase, absenteeism levels rise, leading to higher turnover intentions. Finally, absenteeism was found to lead to turnover intentions. Possible interpretations and managerial implications are discussed.

The present study aims to determine how tourism-related mobile games generate tourism visit intention. Drawing upon the technology acceptance model (TAM), the study seeks to find out the context-specific considerations that exert a greater influence on the intention to visit destinations associated with the mobile game. Using a quantitative approach, data from 263 respondents were collected in Malaysia via an online survey. Partial least-squares structural equation modelling was used to perform latent variable analysis. The findings show the significant effects of perceived ease of play and motivation to play on attitude and intention towards visiting the game destination. In particular, motivation to play is found to exert a greater effect on visit intention. Contradictory results about perceived enjoyment and the importance of motivation are also highlighted. This study adds to the literature that calls for the expansion of the TAM to include context-specific considerations to articulate tourism gamification behaviour and the (un)intended effect on tourism visit intention. Specifically, the importance of context to TAM is unveiled through the motivation to play games related to tourism on a mobile phone. In contrast, this study points to the negligible influence of perceived enjoyment of games on intention to visit.

Despite numerous studies on digital tools in tourism and hospitality, few quantitative investigations use an integrated set of these tools to enhance business success. This study examines the impact of digital tools on hospitality business performance, using data from 234 SMEs in Portugal's accommodation sector. Findings show that integrating tourist accommodation into business groups positively influences digital tool adoption. Higher investment in business digitalisation also positively affects tool adoption and overall performance. The most valued digital tools by Portuguese SMEs include updated websites, social networks, online store/reservation systems, and digital marketing. This study provides valuable insights for tourism marketers and business managers to enhance SMEs' competitiveness in the hospitality sector.

The accuracy of tourism demand (TD) prediction, essential for managing available resources in the tourism industry, still needs to be improved with the unreliability of traditional algorithms. This research proposes a deep learning methodology that combines the convolution neural network (CNN) and gated recurrent unit (GRU), efficiently predicting Vietnam's tourism demand. The Pearson correlation coefficients are performed to nominate the most appropriate feature inputs. The proposed algorithm is analyzed and evaluated with other benchmark approaches, comprising the recurrent neural network (RNN), the long short-term memory (LSTM), the GRU, and the CNN. The experiments prove that the developed hybrid algorithm could outperform previous methodologies in predicting TD in some of Vietnam's provinces. The proposed algorithm could provide satisfactory predictions for tourism demand with a supreme enhancement of 77.1% MSE, 37.4% validating MSE, 46.0% MAE, 20.6% validating MAE, 76.6% MAPE, and 90.3% validating MAPE comparing across deep learning benchmarks.

This study argues that the eSports live streaming viewers have a triple identity. It aims to investigate how eSports live streaming can turn streamers into consumers and potential eSports tourists from the aspect of viewer psychology and behavioral intentions. Based on 776 valid online questionnaires from eSports live streaming viewers, we use Stimulus-Organism-Response (SOR) theory to identify how their watching experience is influenced and what their behavior towards gifting streamers and purchasing tickets for offline eSports is. Using SmartPLS 4.0 to analyze causal relationships among variables, the research affirms that four specific live streaming stimuli positively affect telepresence and immersion, leading to increased gifting and purchase intentions. This article thus elucidates the psychological and behavioral mechanisms of eSports live streaming viewers, shedding light on their transition process into consumers and potential eSports tourists. The results provide valuable insights for eSports live streaming operators and demonstrate their contribution to eSports tourism.

Virtual tourism experiences (VTEs) have grown rapidly after COVID and are expected to grow further. Customer attitudes toward VTEs are therefore of interest. Attitude, in general, is known to have three components: cognitive, affective, and behavioral. Thematic details of attitudes toward VTEs have not yet been explored, motivating the current study. We use a mixed-method approach to explore latent themes within online reviews for VTEs. Latent Dirichlet allocation, used for topic modeling, is applied to 58,675 reviews from Airbnb online experiences. Next, we analyze 70 online reviews from Viator using thematic analysis. The primary themes that emerge are host appreciation, recommendation, hedonic experience, interactive aspects, social connections, and culture and learning. We discuss in detail how these themes relate to the tri-component model of attitude. Our study of post-purchase consumer attitudes provides new insights into the design, delivery, and marketing of VTEs which has academic as well as managerial implications.