Search Results (94)

This study investigates how social networking service (SNS) tourism information characteristics influence destination image and behavioral intentions in digital tourism communication. Drawing on the stimulus–organism–response (S-O-R) framework, SNS information characteristics are conceptualized as vividness, convenience, interactivity, and reliability, and their effects on affective image, cognitive image, and SNS behavioral intentions are examined. Data were collected from 273 Chinese tourists who used SNS platforms to obtain information about Jeju Island, and structural equation modeling (SEM) with bootstrapping was employed to test direct and mediating effects. Results indicate that convenience significantly influences cognitive image; vividness, convenience, and interactivity significantly affect affective image; and reliability shows no significant effect. Affective image positively influences behavioral intentions, whereas cognitive image does not. In addition, vividness, interactivity, and reliability directly influence behavioral intentions, while convenience has no direct effect. Mediation analysis shows that affective image partially mediates the effects of vividness and interactivity and fully mediates the effect of convenience, whereas cognitive image does not exhibit a significant mediating role. These findings highlight the importance of affective mechanisms in digital tourism communication and provide practical implications for sustainable destination marketing and digital tourism management. Full article

People increasingly rely on photographs shared by others when deciding where to travel. Although human presence in such images is prevalent and often assumed to enhance place appeal, little research has examined whether it might also produce unintended drawbacks. Drawing on the theoretical perspective of groundedness, this research proposes that depicting people in place photographs can undermine viewers’ sense of being psychologically anchored to the place, thereby reducing perceived attractiveness. Across one field study and three controlled experiments, we find consistent evidence that human presence lowers place attractiveness by diminishing feelings of groundedness. This effect emerges in cultural but not natural landscapes and cannot be explained by alternative mechanisms such as psychological ownership. By introducing groundedness as a novel psychological mechanism, this research advances understanding of how human presence in imagery shapes individuals’ affective and evaluative responses to destinations. Full article

Background: Research on spatial imagery as perceived by humans is an important frontier for deepening the theoretical understanding of Tourism Destination Image and promoting sustainable urban development. Significance: This study, from the perspective of tourists, explores the correlation mechanism between the cognitive image and affective image of urban space. This is of great significance for enhancing the overall spatial quality of cities, promoting the integration of the man–land relationship, and driving the sustainable development of tourism. Method: In this study, we took Harbin as the case site, collected 89,375 reviews and 23,561 review images of 488 scenic spots on the Mafengwo and Ctrip platforms, and constructed a multimodal dataset. We classified the image scenes with the help of the Places365-CNN model. We then extracted text emotional features by utilizing the SnowNLP deep learning algorithm. We constructed a map of the spatial influence mechanism acting on cognitive image and emotion through MGWR. Results: The experimental results showed that in the level of Pleasure, the five indicators NHS, HPA, RPA, PDS and WRV had significant spatial correlations with urban sentiment. In the level of Arousal, the three indicators PD, MaSD and WRV showed significant spatial characteristics. Conclusions: This study reveals the influence mechanism of urban spatial perception elements on tourists’ emotions. It not only deepens the understanding of the Tourism Destination Image theory, but also provides a practical path based on the optimization of perception scenarios for the improvement of urban space, which has important implications for regional sustainable development. Full article

As a vital component of urban tourism, urban theme parks increasingly face experience homogenization and intensifying competition. Accordingly, the implementation of refined digital marketing and operational strategies based on visitor digital behavior has become increasingly essential. In this context, tourists’ social media sharing has become a crucial link between destination marketing and visitors’ experience construction. Within the SOBC (Stimulus–Organism–Behavior–Consequence) framework, this study examines how theme park servicescapes (S) shape sharing motivations (O), which, in turn, influence multimodal sharing intentions (B—text, image + text, video) and subsequently contribute to memorable theme park experience (C). A two-stage, mixed-method design was employed, and the study considered visitors to Beijing Universal Studios and Shanghai Disney Resort. Semi-structured interviews and grounded analysis identified five motivations: altruism, self-presentation, affective expression, hedonic motivation, and community identification. Testing was performed using a survey (N = 604), along with structural equation modeling. The findings indicate that the staff-related social environment exerts significant positive effects on all five motivations, whereas the effects of the physical environment are more selective. Motivations differentially predict modal intentions: text aligns with altruism and affective expression; image + text aligns with altruism, community identification, and self-presentation; and video aligns with self-presentation, hedonism, community identification, and affective expression. All three intentions positively affect memorable theme park experience. These results clarify how motivations map onto content forms and validate a support SOBC framework from servicescapes to memorable experience, offering actionable implications for experience design and digital marketing. Full article

The cross-fertilization of video games and tourism has expanded in recent years, with digital narratives increasingly shaping real-world travel behavior, yet the mechanisms linking mythological video games to pre-trip travel intention remain underexplored. Using the Chinese mythological game Black Myth: Wukong as a case, this study examines how digital myth narratives relate to overseas audiences’ perceptions of, and travel intentions towards, Chinese tourist destinations in a cross-cultural context. Based on a large corpus of YouTube comments, we integrate topic modeling, sentiment analysis, and interpretable machine learning to identify semantic cues associated with travel intention. The results indicate that multidimensional perceptions elicited by digital myth narratives are associated with a gradual evolution of destination image from cognitive to affective and then intentional. Cultural symbol perception, cross-cultural understanding, aesthetic appreciation, and emotional resonance show positive relationships with travel intention and appear as important predictors in the model. SHAP analysis further suggests a nonlinear threshold effect, whereby the probability that a comment is classified as expressing travel intention increases when overall perception reaches a relatively high level. Embedding the cognition–emotion–intention path within a digital game context, this study provides empirical evidence on destination image and behavioral intention in digital narrative settings and offers implications for cross-cultural communication and sustainable tourism planning. Full article

Understanding destination image perceptions is critical for tourism destinations seeking to maintain competitive advantage and foster visitor loyalty. While the traditional literature suggests that first-time and repeat visitors differ significantly in their cognitive and affective destination image perceptions due to experiential differences, emerging evidence from destinations with established branding challenges these conventional assumptions. Thailand, as a globally prominent destination with sustained branding initiatives since 1998, provides an ideal context for examining whether visitor experience moderates destination image formation and loyalty outcomes. This study investigates differences in cognitive and affective destination image perceptions and destination loyalty between first-time and repeat international travellers to Thailand, applying the cognitive–affective–behavioural (CAB) model to examine how these constructs influence revisit and recommendation intentions across visitor segments. Data were collected from 392 international tourists visiting three major southern coastal destinations in Thailand (Phuket, Krabi, and Phang-Nga) through face-to-face surveys using purposive sampling. The sample comprised 185 first-time travellers and 207 repeat visitors. Partial least squares structural equation modeling (PLS-SEM) with multigroup analysis was employed to examine structural relationships and test for significant differences between visitor cohorts using parametric, Welch–Satterthwaite, and permutations tests. Contrary to theoretical expectations, multigroup analysis revealed no statistically significant differences between first-time and repeat travellers across all examined pathways (all permutation p-values > 0.05). Both groups demonstrated equivalent perceptions regarding how cognitive image influences affective image, and how these dimensions affect revisit and recommendation intentions. Affective image emerged as the dominant predictor of destination loyalty for both segments, while cognitive image primarily served as an enabler of emotional responses. These findings challenge traditional assumptions about experiential differences between visitor types suggesting that mature destinations with consistent long-term branding may achieve perceptual uniformity that transcends direct experience. Destination marketing organizations should implement unified rather than segmented strategies, prioritizing emotional engagement mechanisms over rational attribute promotion to cultivate destination loyalty across all visitor segments. However, these findings are specific to coastal leisure destination and may not fully generalize to other destination types. Full article

This study examines how digital nomads act as unintentional brand ambassadors shaping destination image via lifestyle content. Although nomads influence place perceptions through blogs, vlogs, and social media, tourism institutions rarely acknowledge their role. We theorize this diffuse effect as ambient influence—the cumulative, non-promotional impact of lifestyle posts—and test whether nomads operate as unintentional brand intermediaries affecting destination image and travel intention. A multi-method design includes a survey of 487 international travelers modeling links among exposure, perceived authenticity, destination image, and travel intention; an experiment with 210 participants comparing nomad versus influencer videos; and interviews with 14 DMO professionals examining institutional responses. Results indicate that nomad content improves destination image and travel intention via perceived authenticity and relational trust. Relative to influencers, nomads are viewed as more credible and less commercially motivated. However, qualitative evidence shows that DMOs often overlook this influence due to ambiguity, control-oriented branding, and reliance on performance metrics ill-suited to informal media. The study formalizes ambient influence to capture the cumulative, non-promotional impact of nomad content and identifies a strategic blind spot in institutional engagement. It contributes by reconceptualizing influence beyond formal marketing and offers guidance for tourism management, including broader recognition frameworks and updated evaluation of user-generated content. Full article

With the rapid development of China’s tourism industry, the homogenization of regional tourism images has become a growing concern. To address this, this study quantifies the similarities and differences in tourism image perception across China’s 31 provinces, focusing on 350 5A-level destinations, analyzing 757,046 tourist reviews collected from Ctrip.com in 2024. Using a three-dimensional framework (cognitive, affective, and overall image), we analyze social media data through natural language processing, random forest regression, and social network analysis. Key findings include the following: (1) most comments are positive, with Jiangsu and Chongqing showing high cognitive image similarity but low overall similarity; (2) cognitive image significantly impacts affective image, especially through unique tourism resources; (3) an inter-provincial similarity–difference matrix reveals significant perceptual differences among provinces. This study provides a novel methodological approach for multidimensional image evaluation and offers crucial empirical insights for regional policy-making aimed at optimizing land and tourism resource allocation, balancing regional disparities, and promoting sustainable land use and development across China. Full article

As contemporary role models in the digital space, influencers are seen as one of the actors able to engage users with their posts, which also affects the image of a destination, and thus contributes to the co-creation process. At the same time, less information seems to be available on what elements influencers use and to what extent they influence the engagement of their followers. Through content analysis, the contributions to this image have been analysed by comparing different types of destinations and influencers. The results show that natural resources and undiscovered destinations generate a high level of engagement, a key element for co-creation. In addition, influencers, as the ambassadors of destinations, can have a positive impact on their sustainable development. Full article

Exploring the cognitive and affective image dimensions involved in the formation of attractive sports destinations is essential to understand how sports activities influence participants’ experiences. This study explores how municipal sports programs and small-scale events shape both the cognitive and affective image of a destination. The research was conducted among 456 adult participants engaged in public sports events and recreation programs in various municipalities across Attica, Greece. Participation was voluntary and based on an open public call. The questionnaire was adapted from (a) scale, which examines the influence of a sports event image on a destination image—it included 17 items measuring the cognitive image destination grouped into four factors: (1) environment, (2) experiences, (3) attractions, and (4) entertainment–infrastructure, as well as 5 items assessing one factor of affective image destination—and (b) a scale for the intention to participate in sports events and exercise programs. The findings provide insights into how community-level sports initiatives contribute to form a favorable destination image, not only through tangible elements like facilities and environment but also through emotional engagement and social connectivity. These results can inform the development of more targeted and impactful local sports programs that enhance participant’s satisfaction and foster long-term community involvement. Full article

Natural disasters such as hurricanes, earthquakes, or tsunamis can significantly affect the image of tourist destinations and the intention to visit them. However, research on the effects of natural disasters and their impact in destinations in Mexico is an under-researched topic. Moreover, attitudes and behaviors of solidarity are important for recovery of destinations after natural disasters. Therefore, the aim of this study was to examine how people’s perceived risk and solidarity attitudes affect the image and intention to visit destinations after natural disasters in the country. Through a structured questionnaire (n = 228), the risk perception, solidarity attitudes, destination image, and intention to visit were measured to assess interest in visiting the emblematic destination of Acapulco, Mexico, which was devastated by Hurricane Otis (category 5) in October 2023. The results show that risk perception does not affect destination image and solidarity attitudes, but it does affect the intention to visit the destination (β = −0.120). The main findings of this study establish the strong influence of solidarity attitudes on the image (β = 0.611) of the destination and the intention to visit (β = 0.581). The results state that destination image had a mediating effect (β = 0.240) on solidarity attitudes and intention to visit post-disaster destinations. Therefore, destination image has a fundamental effect on the formation of attitudes of solidarity for the recovery of destinations after a natural disaster. Solidarity attitudes are of great importance for the destination’s recovery after natural disasters. It is important to prioritize marketing campaigns that recognize these actions of solidarity, on the part of destination management organizations (DMOs) and local governments. Full article

Extreme weather events and rising temperatures pose significant risks, not only in urban areas but also in metropolitan forests, that affect the well-being of the people who visit them. City forests are considered one of the best bets for mitigating high temperatures within civic areas. Such areas modulate microclimates in contemporary cities, offering environmental, social, and economic advantages. Therefore, comprehending the intricate relationships between municipal forests and the climatic changes of various destinations is crucial for attaining healthier and more sustainable city environments for people. In this research, the thermal comfort index (Modified Temperature–Humidity Index (MTHI)) has been analysed using Landsat images of six urban forests in London during July 2022, when the area first experienced record-breaking temperatures of over 40 °C. Our results show a significant growth in the MTHI that goes from 2.5 (slightly hot) under normal conditions to 3.4 (hot) during the heat wave period. This situation intensifies the environmental discomfort for visitors and highlights the necessity to enhance their adaptability to future temperature increases. In turn, it was found that the places most affected by heat waves are those that have grass cover or that have small associated buildings. Conversely, forested regions or those with lakes and/or ponds exhibit lower temperatures, which results in enhanced resilience. These findings are noteworthy in their concentration on one of the UK’s most severe heat waves and illustrate the efficacy of integrating spectral measurements with statistical analyses to formulate customized regional initiatives. Therefore, the results reported will allow the implementation of new planning and adaptation policies such as incorporating thermal comfort into planning processes, improving green and blue amenities, increasing tree densities that are resilient to rising temperatures, and increasing environmental comfort conditions in metropolitan forests. Finally, the applicability of this approach in similar urban contexts is highlighted. Full article

In the scientific literature on tourism, a set of variables is frequently utilized. The objective of this study is to analyze the scenario of scientific publications on these variables between 2000 and 2023. This analysis employs a bibliometric approach, utilizing data collected from the Scopus database. The bibliometric method was employed, with a focus on five variables (tourism destination, competitiveness, image, quality, and satisfaction) and five indicators (author, year, country, journal, and affiliation) essential for mapping research patterns and identifying key trends in the field of tourism. The findings demonstrate that the five variables under examination are inherently interrelated. The image of the destination is of particular importance, as it influences the quality of life of residents and the experiences of tourists, which in turn affects the competitiveness of the destination. The results also demonstrate the multidimensional nature of these variables in shaping tourism destination dynamics. This study underscores the value of bibliometric analysis as a strategic tool for synthesizing and deepening tourism literature. The findings not only highlight the primary research contributions and trends but also identify gaps and opportunities for future research, thereby promoting continuous advancement in tourism knowledge and best practices. Full article

This study examines the structural relationship between a destination’s image (DI), social influence (SI), and tourists’ brand trust (BT) and brand loyalty (BL) in the destination of Tozeur, a Tunisian town located at the gateway to the Sahara and rooted in the Atlas Mountains, where George Lucas set scenes for the Star Wars saga. The structural correlations between the variables in the model were tested through structural equation modeling (SEM). Data from 1405 tourists, who had visited Tozeur, were analyzed through SEM using AMOS software (version 25). The results showed that DI significantly affects BT (β = 0.924, p < 0.001) and significantly affects BL (β = 0.481, p < 0.01). Additionally, SI significantly affects BT (β = 0.274, p < 0.001) and significantly affects BL (β = 0.234, p < 0.001). Furthermore, BT significantly affects the BL (β = 0.461, p < 0.01). Tourist’s trust in a brand was found to act as a partial mediator on the link between destination image and brand loyalty and between social influence and brand loyalty. The findings demonstrate the importance of the tourism destination as well as social influence in boosting tourism trust and increasing destination loyalty among tourists. The results have many practical implications for destination marketers. Full article

In recent years, the growing number of Online Travel Review (OTR) platforms and advances in social media and search engine technologies have led to a new way of accessing information for tourists, placing projected Tourist Destination Image (TDI) and electronic Word of Mouth (eWoM) at the heart of travel decision-making. This research introduces a big data-driven approach to analyzing and measuring the perceived and conveyed TDI in OTRs concerning the reflected perceptive, spatial, and affective dimensions of search results. To test this approach, a massive metadata analysis of search engine was conducted on approximately 2700 reviews from TripAdvisor users for the category “Attractions” of the city of Kastoria, Greece. Using artificial intelligence, an analysis of the photos accompanying user comments on TripAdvisor was performed. Based on the results, we created five themes for the image narratives, depending on the focus of interest (monument, activity, self, other person, and unknown) in which the content was categorized. The results obtained allow us to extract information that can be used in business intelligence applications. Full article