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This study assesses the impact of media channels in building destination image, shaping tourist attitudes, and subsequent behavioral intentions through the lens of stimulus-organism-response (SOR) and folk-conceptual theories. The age factor is considered a moderator to identify age-based media utilization and its role in shaping behavioral intentions. A structural equation modeling method was used to test the proposed model constructs based on a sample of 286 international tourists who visited the Kalash Valleys, Pakistan. The findings of our study suggest that both mass and social media play a crucial role in destination image building and tourist attitude. Destination image is vital for shaping tourists’ attitudes toward a destination; both destination image and tourist attitude determine tourist satisfaction, leading to future behavioral intentions; mass media is a better tool to influence an elderly generation ranging from 50 and above; social media is an effective platform to attract younger generations toward a destination and influence their behavioral intentions. Hence, these findings provide significant theoretical and practical implications in the field of destination management and marketing based on effective media usage. [ABSTRACT FROM AUTHOR]

The current research examined the link between the informativeness of tourist-chatbot interaction, destination image, and visit intention in two studies. In the first study, 111 participants were asked to interact with ChatGPT about a destination (i.e. Batumi) for 5–10 min. The conceptual model was analyzed using the Structural Equation Modelling framework. Findings suggested that the informativeness of tourist-chatbot interaction would increase destination image and visit intention. Destination image was also directly and positively related to visit intention. Specifically, destination image mediated the link between the informativeness of tourist-chat bot interaction and visit intention. A second study (N = 184) was conducted, in which the entire procedure was the same as the first study, to test the replicability of the current findings. Consequently, all results remained consistent with the first study. This is the first study to show the mediating role of destination image in the link between human-machine interaction and visit intention in tourism research. Thus, the findings would expand the current understanding regarding the role of human-machine interaction on attitude and behaviour. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Site attributes and destination image play critical roles in the event planning process, significantly impacting the success of events. This study examines the influence of site selection factors and destination image on the decision-making process of event planners, with a focus on Nashville, TN in the US. This study adopted purposive and snowball sampling techniques to enhance triangulation in data collection. To ensure trustworthiness and credibility, the criteria for selecting interviewees are as follows: 1) currently employed in an event company, 2) possessing experience in selecting event sites, and 3) having planned events in Nashville. This study utilizes in-depth interviews with 15 participants, and the data were subjected to thematic analysis using NVivo12. Findings indicate that client demands and budget considerations are primary determinants in site selection, while secondary factors include AV, Wi-Fi, and F&B options. Concerning Nashville's destination image, perceptions of high hotel room rates, limited event space for larger gatherings, and restricted date options emerge. These findings underscore a potential disparity between event planners' perceptions and the actual destination image. Thus, Convention and Visitors Bureaus/Destination Marketing Organizations (CVBs/DMOs) should incorporate event planners' perceptions of destination image alongside site attributes to enhance the destination's appeal to event organizers. [ABSTRACT FROM AUTHOR]

Using a sequential research design combining image analytics and Qualitative Comparative Analysis (QCA), this research examines Beijing's projected destination image and its impacts on social media engagement on Instagram. Deep learning algorithms and convolutional neural networks were used to analyze the images. The image analytic findings show that Beijing's projected destination image includes: (1) multiple urban and country landscapes; (2) a mixture of modernity and tradition; (3) a range of activities in a dynamic city and (4) cuisine—a variety of traditional Chinese food. QCA identified three paths that lead to high engagement, including "building" and "sky," "building" and "event," "sky," and "event." This research advances the destination image literature by empirically establishing the relationship between destination image labels and social media engagement. Further, it offers a new configurational perspective for constructing projected destination image by delineating how DMOs effectively increase social media engagement through image semantic content configurations. [ABSTRACT FROM AUTHOR]

Copyright of Dirasat: Human & Social Sciences is the property of University of Jordan and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study comprehensively and systematically reviews and integrates the prior literature on the role of tourists' psychographic profiles and elucidates the antecedents, consequences, and intervening factors influencing tourist destination selection and satisfaction. The Dimensions Research Database was used to search for relevant studies. A co-word analysis of 465 articles revealed three significant clusters of keywords, highlighting key themes in tourist psychographics and destination selection. Results indicate that tourist psychographic attributes (i.e. Demographics, motivation, values, attitude, and interest) influence destination image formation and tourist satisfaction. The study offers the Tourist Psychographics-Destination Image-Satisfaction Model (TPDIS Model), a comprehensive conceptual model, as further research agenda for exploring destination-specific tourist profiling and destination image perception to achieve tourism satisfaction. [ABSTRACT FROM AUTHOR]

Copyright of Anuario Turismo y Sociedad is the property of Universidad Externado de Colombia, Facultad de Empresas Turísticas y Hoteleras and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

This study aims to investigate the key antecedents influencing the revisit intentions of Muslim tourists to Batu City, East Java, Indonesia. Specifically, the research examines the impact of destination image, service quality, availability of halal facilities, and visitor income on the propensity to revisit, with visitor satisfaction introduced as an intervening variable. Utilizing 209 samples, the data is analyzed through Structural Equation Modeling-Partial Least Squares (SEM-PLS) to assess the direct and indirect relationships between the variables. The results demonstrate that destination image exerts a significant and positive effect on Muslim tourists’ intention to revisit Batu City, while service quality, halal facilities, and visitor income show no statistically significant direct impact. However, all four factors—destination image, service quality, halal facilities, and visitor income—collectively enhance visitor satisfaction, which in turn mediates their indirect influence on revisit intentions. This research offers valuable insights for local governments, tourism stakeholders, and academic circles by identifying factors crucial for improving the Muslim visitor experience. The findings have practical implications for enhancing the attractiveness of Batu City as a tourism destination, ultimately contributing to increased visitation rates among Muslim tourists. [ABSTRACT FROM AUTHOR]

Previous studies have examined the various constructs of creative tourism, but the way travelers integrate the image of their self with a creative destination brand has not been taken into consideration. Therefore this study aims to conceptualize this integrity in a creative cultural destination in Iran. This survey involved 308 inbound travelers who revealed that destination uniqueness, perceived value, and interaction are strong predictors of creative cultural experience. Creative cultural experience also positively affects enjoyment and self-enhancement. These findings also accentuate that creative cultural experience and self-enhancement are strong determinants of Destination Brand Self-Congruence (DBSC). Nevertheless, there were no findings about the effect of perceived enjoyment on DBSC. [ABSTRACT FROM AUTHOR]

Domestic travel is a significant path to revive tourism during crises. Tourist destinations use it to compensate for the decline in international tourist arrivals. This study aims to investigate the influence of risks of health crises on domestic travel intention in the UAE, Egypt, and Jordan. It also measures the moderation role of destination image to decrease the impact of health-perceived risks on local travel intentions. A questionnaire was addressed to domestic tourists in the three countries (i.e. UAE, Egypt, and Jordan) to collect data and findings revealed that health risks are of negative influence on local travel intention, and that safe destination image partially decreases the negative impact of perceived risks on travel intentions. Significant implications for destination planners and marketers are then presented. [ABSTRACT FROM AUTHOR]

This study investigates the impact of destination image in online tourism on tourists’ intention to travel in person, as well as the role that immersive experience plays in this relationship. Using data collected from 644 tourists, the findings suggested that the three dimensions of destination image in online museum visits are all significantly positively related to the immersive experience, and it worked the same way to tourist satisfaction. Both the immersive experience and satisfaction during online museum visits are significantly positively related to tourists’ intention to visit the site in person. Among the three dimensions of destination image, cognitive image and overall image are significantly positively related to tourists’ intention to visit the actual site, while the emotional image has no significant correlation with the intention to visit in person.

This study examines the impact of engaging in the Seren Taun ritual at the Ciletuh-Palabuhanratu UNESCO Global Geopark (CPUGGp) on tourist loyalty, with an emphasis on Memorable Tourism Experiences (MTEs) within three indigenous communities: Ciptagelar, Sinaresmi, and Ciptamulya. This study investigates how MTEs influence tourist loyalty by exploring destination image, visitor engagement, and cultural interaction. A quantitative method was utilized involving 200 participants who attended Seren Taun, with data collected through Google Forms. The application of Structural Equation Modeling (SEM) through the PLS technique, utilizing SmartPLS 4.0, facilitated the assessment of reliability, validity, and correlation analysis. The results demonstrate that MTEs play a crucial role in improving destination image and fostering cultural interaction, yet they do not markedly boost visitor engagement. The influence of MTEs on loyalty intention is significant, underscoring the importance of enhancing destination image and cultural engagement to promote the growth of cultural tourism in Geoparks. The research highlights the significance of cultural interaction and MTEs in fostering tourist loyalty. Rituals such as Seren Taun enhance visitors' ties to the local culture and encourage sustainable tourism, positively impacting local economies.

Purpose – The purpose of this study is to propose a new model, the M-TPB-D model, which combines the theory of planned behavior (TPB), the travel motivation theory, and the overall image of the destination. This model aims to provide a new perspective for understanding and predicting tourists’ visit intentions and leads to increasing destination choice behavior in the tourism destination context. Methodology/Design/Approach – To gain a comprehensive understanding of destination choice behaviour, a mixed methods approach combining quantitative and qualitative methods was used. Data was collected through a random sample survey of 630 domestic tourists travelling to Ho Chi Minh City. The final sample consisted of 459 usable questionnaires. Findings – The findings of the study confirm the causal relationship between the original TPB theory, pull-push motivation theory, overall image of the destination and destination choice behavior. This offers a novel insight into understanding destination choice behavior from the viewpoint of domestic tourists. Originality of the research – The study makes a significant contribution through the integration of multiple theories, resulting in a comprehensive understanding of the various factors that influence destination choice behavior. Furthermore, the study has implications for both theoretical implications and practical implications for destination marketing and management.

Objective: This study analyzes the effect of destination image interaction and domestic tourists' travel motivation in predicting the intention to revisit Alor Island. This study places travel motivation as a link between the interaction of a general tourist destination image and tourists' intention to revisit Alor Island. Research Design & Methods: The approach used in this study is a quantitative method, using a questionnaire distributed to 230 domestic tourists visiting Alor Island. The sample determination in this study follows the sample size guidelines for SEM-PLS analysis with a maximum likelihood estimation approach with a range between 100 and 250. Data analysis uses a structural equation approach with SPSS and SEM PLS to test the interaction of research variables and their indicators and explain the relationship between variable constructs. Findings: The results of the investigation found that destination image has an indirect impact on tourists' intention to revisit. In addition, travel motivation also directly affects the intention to revisit. It was also found that travel motivation mediates the effect of destination image on the intention to revisit. Implications and Recommendations: This study shows that building a positive destination image through promotion, facilities, and cultural uniqueness can motivate tourists to return. Therefore, the tourism industry must provide quality services, develop authentic and sustainable tourism experiences, and utilize technology and market segmentation. Contribution & Value Added: Travel motivation fully mediates the impact of destination image and tourists' intention to revisit the Alor Island tourist destination. Culture, history, entertainment, social interaction, and access to information can increase tourists' intention to revisit.

Tourist satisfaction shows the satisfaction that arises because visitors feel satisfied and happy after visiting a destination. This study aims to examine the role of tourist satisfaction in influencing destination image, emotional experience, and value perception towards destination loyalty of natural dye batik in Indonesia. The research uses a quantitative approach in an uncontrolled environment, with individuals as the unit of analysis. The population consisted of domestic and foreign tourist respondents aged 21 years and over who visited the natural dye batik village, Bayat, Klaten, Indonesia. Data collection was carried out using an online survey method, questionnaires were sent to selected respondents using online Google Forms. The data were collected comprehensively from 200 respondents for descriptive demographic profile analysis. The hypotheses were tested using partial least squares modelling analysis. The results of the study showed a positive influence of destination image, emotional experience, and perceived value on tourist satisfaction (Beta = .423, p < .000; Beta = .087, p < .045, Beta = .368, p < .000). Likewise, destination image, perceived value, and tourist satisfaction have a positive effect on destination loyalty (Beta = .306, p < .000; Beta = .198, p < .009, and Beta = .325, p = .000). This shows that the better the destination image and value perception, and the higher the emotional experience, the higher the tourist satisfaction, and with increasing tourist satisfaction, destination loyalty also increases. AcknowledgmentWe would like to thank the management of natural dyed batik “Kebon Indah”, Bayat Klaten (Mrs. Dalmini and staff) who permitted and facilitated this study, especially in obtaining respondents. We would like to thank our friends at the Udinus Faculty of Economics and Business who provided input to improve the results and reporting of this study and all respondents who directly or indirectly contributed to this research. Hopefully, this study will be useful for developing science and business practice.

While previous research has examined the impacts of discrete deceptive marketing practices, limited studies have taken a holistic perspective to understand the interconnected relationships between various deceptive tactics across different marketing mix elements and key tourist behaviors and perceptions. This represents a significant gap as the complex interlinkages shape challenges for developing tourism industries. Therefore, this study explores how deception in products, pricing, promotion, and place collectively influences tourist trust, destination image, and online reviews of Egypt. Through a survey of independent travelers, we found deception indirectly hampers tourism by eroding trust and shaping a negative overall image. This provides nuanced insights into downstream consequences by assessing diverse deceptive practices through an established marketing framework. The findings offer valuable theoretical contributions by developing a more comprehensive understanding of causal interactions between deception types and critical outcomes. It also highlights challenges for policymakers seeking to expand hospitality sectors in developing economies.

The level of success in tourism is gauged by several metrics; however, the most widely used is the level of tourist arrivals. However, this research answered the call for greater investigation of the impacts of qualitative factors and intangible cultural–heritage assets on destination performance. The primary research purpose was to analyze the effect of implementing a local well-being philosophy (Tri Hita Karana) on tourist revisit intentions for Bali and the mediation of destination quality and destination image. A research model was developed to examine the relationships among local wisdom (TKH), destination quality, destination image, and revisit intentions. Data were collected via a survey of 520 digital nomadic tourists and analyzed using SmartPLS 4. The results indicated that the implementation of THK positively and significantly affected revisit intentions, destination image, and destination quality. Destination image and destination quality had positive and significant effects on revisit intentions, and destination image and destination quality also significantly mediated the effect of THK implementation on revisit intentions. The findings suggested that implementing local wisdom values such as THK in the management of a destination makes visitors feel more favorably about the quality and image of the destination and they have the intention to revisit.

Background/Objectives: Destination Development, Management, and Marketing Organizations (DDMMOs) have the power to influence perceptions and behaviors regarding both actual and virtual travel in the rapidly changing landscape of digital environments. Within newly emerging Metaverse platforms, their websites can serve as critical touchpoints that enhance destination attractiveness and enable visitors to engage in valuable experiences. In this vein, this research attempts to determine if DDMMO website quality and destination image can influence users’ intention to virtually visit a place by using a Metaverse platform. Methods: Users who navigated a European DDMMO website were asked to fill out a self-administered questionnaire, and 318 responses were collected. Then, structural equation modeling (SEM) was used to test the research hypothesis. Results: The results show that website interactivity and affective destination image had a direct positive impact on a user’s intention to use the Metaverse platform. Furthermore, indirect impacts of website design and usefulness and cognitive destination image were detected. Conclusions: DDMMOs and destination marketing experts can gain valuable insights from the outcomes of this research. Thus, focusing on the aforementioned website features can help them enhance destination image and attract users to their Metaverse platforms.

The province of Jambi has significant potential in developing rural tourism, with various unique destinations rich in culture and natural beauty that attract visitors. However, the challenge lies in maintaining and increasing tourist visits and encouraging them to recommend these destinations to others. This study aims to analyze the factors influencing tourist satisfaction in realizing repeat visits and recommending rural tourism destinations in Jambi Province. This research employs a survey method by collecting data through questionnaires distributed to 180 tourists who have visited rural tourism destinations in Jambi. The collected data is analyzed using multiple regression analysis techniques with the help of SmartPLS to determine the impact of independent variables on the dependent variable. The results show that the destination image does not significantly influence tourists' intentions to recommend the destination to others but can enhance tourist satisfaction. In contrast, the perceived value by tourists positively impacts the intention to recommend but does not affect satisfaction or repeat visits. The uniqueness of the destination can improve satisfaction and attract repeat visits, although it does not directly influence recommendations. Tourist satisfaction itself does not significantly impact recommendations, and repeat visits do not affect the intention to recommend the destination. The implication of this study is that rural tourism destination managers in Jambi Province need to focus on creating unique experiences and enhancing the perceived value for tourists to improve the appeal and sustainability of the destination.

Tourism Destination Image (TDI) is complex, dynamic and multidimensional by nature and shaped by a multitude of events, interactions and sensory impressions, especially once the tourist is at the destination, generating tourists' engagement on social media networks. This study aims to measure the online destination image (ODI) portrayed in user-generated content (UGC) on social media by employing the sentiment analysis method. Data were extracted from Facebook and Instagram on the Visit Algarve social media profile. The Algarve region is situated in the south of Portugal and is one of Europe's most popular tourist destinations. The main results shed light on the relevance of intangible heritage experiences as triggers of positive feelings about the destination. Content shared about tourists' activities in the region generates more engagement in the tourism destination's social media. Tangible heritage received the lowest rated sentiment, and destination agents should strategically look into it as there are opportunities for destination management. Tourism infrastructure has the lowest engagement value; therefore, in terms of promotion, it does not generate interest.

The aim of this study is to determine how metaphors are used in tour guides, registered to the Ankara Chamber of Tourist Guides (ANRO), to create desired perceptions of Ankara. This study uses the qualitative research method of phenomenology and the purposeful sampling method of homogeneous sampling. The population of the study consists of active tour guides registered to the Ankara Chamber of Tourist Guides (ANRO). In the study, metaphors were used to determine the perceptions of tour guides about Ankara. The research questions were formed by reviewing the relevant literature and a form was completed to obtain the required data. The data obtained in the study was analyzed by content analysis and then subjected to descriptive analysis. According to the results of the research, the most frequently utilized metaphors for Ankara are the sun, goats and villages. The metaphors developed by tour guides for Ankara were grouped under 8 categories: nature, animals, spaces, humans, relational, culture, history and technology. It is thought that this study can benefit future studies by providing a sense of the images created of Ankara. [ABSTRACT FROM AUTHOR]

The objective of this study is to investigate the impact of various internet marketing methods like Online Travel Agents (OTA), Online Reviews (ORV), social media (SM), and Web GIS (WG) and examine the mediating role of Destination Image (DI) on tourist Homestay Booking (HB) located in the Himalayan region of India. Primary data was collected by using a structured questionnaire from 340 tourist respondents. Structural Equation Modelling (SEM) was used to analyse the data using SPSS and AMOS 21. The study validates the considerable role of OTA, ORV, SM, and WG on Homestay booking. The result emphasizes OTA roles, the importance of utilizing positive reviews, leveraging the power of social media, the significance of superior destination image, and implementing Web GIS in Homestay marketing. [ABSTRACT FROM AUTHOR]

The study analyses religiosity as an antecedent variable that influences perceptions of terror risk and animosity, which shape image and visitation intentions to conflict ridden-destinations. The investigation is carried out for two different destinations, Turkey and Israel, both of which suffer from an armed political conflict within their territory. To increase generalizability, the study examines the model of relationships using samples from two source countries, the U.S.A. and India, which represent a Western individualistic and non-Western collectivistic cultural context. The results indicate that religiosity increases terror risk perceptions and decreases animosity, while also indirectly influencing visitation decisions to conflict-ridden destinations. The model is stable for both destinations and across samples, despite some differences that are discussed. [ABSTRACT FROM AUTHOR]

Photographs of places are cognitive sources that provide the observer with a first, essential impression of a potential tourist destination, before the observer visits that place. Recent evidence suggests that aesthetic qualities of a tourist destination may affect tourists' experience and satisfaction, contributing to their loyalty toward a destination and intention to return. Drawing upon the literature on sensorimotor processes of aesthetic experience of arts, here, we investigated whether embodiment and aesthetic qualities of landscape photos might play a role in people's aesthetic preference and willingness to visit a tourist destination. One-hundred twenty-one participants (Mage = 22.17, SD = 6.25) completed an online survey, which asked to evaluate a series of landscapes according to subjective ratings of presence, exploration, and completion, that is the intention to explore beyond the represented place (embodiment dimensions), as well as of symmetry. Furthermore, participants rated how much they liked each destination (Liking) and how much they would like to visit that place (Tourist judgment). Convolutional neural networks (CNN) of image features (Symmetry, Variance and Self-similarity) were also analyzed to rule out the effects of these features on the 2 types of judgment. Results showed that embodiment components predicted both Liking and Tourist judgements. In contrast, neither subjective Symmetry nor CNN measures predicted any of the 2 Liking and Tourist judgements. Overall, our findings support a novel theoretical framework of tourist aesthetic judgment, whereby sensorimotor mechanisms might play a role in tourist destination choice. [ABSTRACT FROM AUTHOR]

In a highly competitive market, managing the quality of destination image is a major concern for tourism marketers and policymakers. Negative connotations attached to a destination can potentially produce forms of stigma and lead to the stigmatization of a destination. Research on stigmas attached to tourists or tourism practitioners has gained growing scholarly attention; however, empirical knowledge on the stigmas associated with a place (spatial stigma) and the underlying factors driving the stigmatization of a destination is yet to be developed in tourism literature. To fill this gap and grounded in a multidisciplinary literature on the stigma-place nexus, this study explores the stigmatization of Iran through an analysis of in-depth interviews with the representatives of country's key tourism informants. The findings of the qualitative study demonstrated how Iran's destination identity is contested. Six reinforcing forms of stigmas were identified: political, religion, security, hygiene, performance and regional stigmas. The study concludes that destination stigma is a multi-dimensional phenomenon that manifests in different ways depending on where it is generated, encountered and experienced. In adopting a more contextual approach the study offers several new perspectives on stigma production, negotiation and resistance in tourism destinations. [ABSTRACT FROM AUTHOR]

While improving tourist satisfaction is essential, attention to the factors influencing overall satisfaction with ecotourism destinations is highly important. This study aimed to model ecotourism destination satisfaction by integrating destination image, place attachment, and expectation-confirmation theory. Specifically, this research examines the effects of destination image, place identity, place dependence, service expectations, and confirmation on overall satisfaction with ecotourism destinations. A questionnaire was administered to domestic tourists visiting Mondulkiri, Cambodia. Structural equation modeling was employed to measure direct relationships, while the Sobel test was used to measure indirect effects through mediators. The findings showed that place dependence and service expectations influenced overall satisfaction and mediated the relationship between destination image and satisfaction. The findings of the research have implications for developing sustainable ecotourism destination satisfaction management. [ABSTRACT FROM AUTHOR]

The level of success in tourism is gauged by several metrics; however, the most widely used is the level of tourist arrivals. However, this research answered the call for greater investigation of the impacts of qualitative factors and intangible cultural–heritage assets on destination performance. The primary research purpose was to analyze the effect of implementing a local well-being philosophy (Tri Hita Karana) on tourist revisit intentions for Bali and the mediation of destination quality and destination image. A research model was developed to examine the relationships among local wisdom (TKH), destination quality, destination image, and revisit intentions. Data were collected via a survey of 520 digital nomadic tourists and analyzed using SmartPLS 4. The results indicated that the implementation of THK positively and significantly affected revisit intentions, destination image, and destination quality. Destination image and destination quality had positive and significant effects on revisit intentions, and destination image and destination quality also significantly mediated the effect of THK implementation on revisit intentions. The findings suggested that implementing local wisdom values such as THK in the management of a destination makes visitors feel more favorably about the quality and image of the destination and they have the intention to revisit. [ABSTRACT FROM AUTHOR]