Perceived Destination Image Research Articles

Cultural Identity, Experience Quality and Revisit Intention to Mount Tai as A Heritage Tourism Destinations: Mediation Roles of Perceived Value, Perceived Destination Image and Satisfaction

Cultural Identity, Experience Quality and Revisit Intention to Mount Tai as A Heritage Tourism Destinations: Mediation Roles of Perceived Value, Perceived Destination Image and Satisfaction

Tourist tales uncovered: navigating satisfaction through psychographics and destination impressions – a systematic literature review

ABSTRACT 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.

From social media marketing to sustainable tourism development: how functionalities and destination image support sustainable tourism development

PurposeThis study investigates the influence of social media marketing (SMM) functionalities on perceived destination image (DI) and its dimensions, which in turn impact residents’ support for sustainable tourism development (SSTD). The study also examines the moderated mediation effect of the residency length and resident’s income in the indirect relationship between SMM and SSTD through the DI.Design/methodology/approachThe best technique found appropriate for this study was the survey approach. To gather empirical data, people who currently reside in Alexandria completed 351 questionnaires via an online survey. The questionnaire was translated into Arabic while adhering to back-translation guidelines. SPSS and AMOS software were used to analyze the collected data.FindingsIt is found that there is a direct effect of SMM and its functionalities on overall DI and its dimensions. In addition, DI mediates the relationship between SMM and SSTD. These results hold valuable insights for academicians and practitioners in the tourism industry, potentially informing SMM strategies to support tourism activities.Originality/valueThis research introduces a novel framework emphasizing the functionalities of the SMM as a tool for enhancing both affective and cognitive DI and supporting sustainable tourism development. It contributes to the SMM and SSTD literature by examining the links between SMM functionalities and sustainable tourism development in emerging countries such as Egypt.

Leveraging user-generated content (UGC) in pre-travel behavior: A PLS-SEM and necessary conditions analysis (NCA) approach

Online review reading is almost ritualistic before making any purchases. Building on social cognition theory, uses and gratification theory, and stimulus organism response theory, this study explores user-generated content (UGC) attributes affecting intentions to travel via a mediating variable (destination image). Using partial least squares structural equation modeling (PLS-SEM) analysis and necessary conditions analysis (NCA) on responses ( N = 392) collected online in India, the findings reveal that the perceived novelty of content (PNC) and perceived value of content (PVC) positively influence destination image and behavioral intention. Destination image mediates the relationship between PNC, PVC, and content users’ behavioral intentions. Perceived reliability of content (PRC) positively affects behavioral intention. The findings suggest that adequate PNC, PRC, and PVC levels are necessary to enhance destination image and generate intention to travel. This study contributes to the UGC literature and provides recommendations for stakeholders to improve user experience and enhance destination image perception.

Modelling tourists’ travel intention: Role of tourism destination image, perceived value and situational involvement

Promoting travelling intention within social media is significant for stakeholders to grasp a new tourism market and cultivate a new model for development of tourism industry. This study aims to understand path of destination image affecting travelling intention, and to investigate the mediation role of perceived value, furthermore, to uncover the role of moderator of situational involvement. This paper conducts a survey on tourists visiting Guilin, collecting 435 questionnaires, and uses the structural equation modeling method to explore how the image of the tourism destination affects tourists’ willingness to travel. The research results indicate that cognitive image, emotional image, and projected image all have a significant positive impact on perceived value, perceived value as a significant mediator to bridge the relationship among the destination image and tourists’ travel intention. Furthermore, situational involvement plays a negative moderating role in the mediating effect of emotional value. This study endeavor will serve to enrich the understanding of perceived value theory, destination image theory, and tourism consumer behavior theory. It will also provide theoretical foundations and policy recommendations for guiding tourism consumer behavior, analyzing destination image perception, and destination marketing.

Developing Destination Brand Equity for Achieving Sustainable Destination Environment: S‐O‐R Theory to Influence Tourists’ Environment Responsible Behavior

The excessive use of natural resources and irresponsible behavior of tourists have posed severe threats to sustainable destination environment. In response, destination managers have been paying more attention to environmental protection and focusing on strategic ways to achieve a sustainable destination environment. Objective of the study is to analyze the influence of destination brand equity (DBE) on tourists’ environmentally responsible behavior (ERB). The study considered four dimensions of DBE, including perceived destination awareness, quality, image, and loyalty. Further, the study explored the interrelationship among the dimensions of DBE and considered perceived destination loyalty (PDL) as a mediator. Further the study explained tourists’ ERB with the serial mediation of perceived destination trust (PDT) and moderation of destination green equity (DGE). The study employed a self-administrative survey method, and data were gathered from 911 respondents who attended selected nature parks. Results for DBE indicated insignificant effect of perceived destination awareness (PDA) on tourists’ ERB, while perceived destination quality (PDQ) and perceived destination image (PDI) have a significant impact on tourists’ ERB. Further results indicated that PDL has significantly mediated all three dimensions of DBE. The results also revealed that PDT and PDL serially mediated the effect of PDA, PAQ, and PDI on tourists’ ERB. Finally, moderation results indicated that DGE significantly moderated the effect of PDQ, PDI, and PDL on tourists’ ERB. The study has enhanced the existing literature on destination branding and tourists’ ERB through Stimuli‐Organism‐Response (S‐O‐R) model. The study has proposed significant branding strategies for destination management to influence tourists’ ERB. The study has also suggested strategies for policymakers and tourism departments.

The Effects of Dynamic Link Between Sustainable Development Goals (SDGs) And Medical Tourism: A Study of Medical Tourist Intention in Malaysia and Indonesia

Purpose: The study attempts to examine the behavioural intention of the medical tourist in choosing Malaysia and Indonesia as medical tourism destination. Theoretical framework: There are three determinants (behavior intention, perceived destination image, perceive value and trust as mediator are included in the current study. The theory of Planned Behavior shall form the basis of the conceptual framework for this study. Design/methodology/approach: This descriptive study aims to investigate the phenomenon of medical tourism through questionnaires. It assesses measurement scales for reliability and validity, and explores relationships between perceived destination image, perceived value, and behavioral intention, ultimately seeking to generalize findings to the broader population. Findings: This study illustrates that all the variables are vital in influencing Malaysia and Indonesia as destination for medical tourism. Based on the theory of Planned Behavior have form the basis of the variables. Hence, all antecedent factors need to be taken into consideration which will influence the medical tourists. Research, Practical & Social implications: Future research should focus on the comparative discussion for public hospitals and private hospitals in order to improve Malaysia’s and Indonesia’s performance in competing with other country as well as building trust among the medical tourists so that we (Malaysia and Indonesia) will be their first choice for medical tourism. Originality/value: By understanding the relationships between behavioral intention, destination image, perceived value and trust, the destination country would have a better idea how to and improve their marketing efforts in attracting as many medical tourists as possible.

Research on Leisure Tourism Destination Image Innovation Driven by Artificial Intelligence

As the public’s demand for tourism experience continues to improve, the demand for tourism products gradually develops in the direction of personalization, customization and differentiation. In order to mine the image of leisure tourism destinations, this paper conducts theme mining on the review texts of leisure tourism destinations by means of LDA model. An improved neural network language model CBOW and a Glove model are used to train the review word vectors of leisure tourism destination texts. Based on the deep fully connected neural network model, the perceptual features of tourist destinations are studied and analyzed. Taking Sanya tourist attractions as a research case, by analyzing the perception of tourist attractions, the cognitive image vocabulary of Sanya tourist attractions includes three major categories. Among them, tourism attractions, tourism infrastructure and services, tourism service atmosphere, and tourists’ travel behavior accounted for 53.1%, 22.3%, 5.1%, and 19.5% respectively. Then the emotional vocabulary in the perception of tourism destination image in Sanya City was categorized in terms of positive, neutral and negative, and from the neutral vocabulary, the word frequency number of words such as waiting (101), understanding (185), fun (61), and relaxation (56) was high. Regression analysis was used to explore the factors influencing the effect of tourists’ perception of destination image. Among them, tangibility (0.43), reliability (0.463), and responsiveness (0.434) were positively and significantly related to tourist satisfaction. Improving the image of leisure tourism destination can focus on these three aspects.

Are there any differences in the tourists’ perceived destination image between travel e-commerce platforms and social media platforms?

Purpose This study aims to explore the differences in the tourists’ perceived destination image on travel e-commerce platforms (e.g. Ctrip and Fliggy) and social media platforms (e.g. Xiaohongshu and Weibo).

A longitudinal analysis of the effects of COVID-19 on tourists’ health risk perceptions

The COVID-19 pandemic provoked a large impact on tourism because of the enforcement of harsh travel restrictions and the increased global health risks caused by international mobility. This paper utilizes a longitudinal analysis to tests the impact of COVID-19 on tourists’ health risk perceptions, and their relationships with destination image perception and visiting intentions. Tourists are surveyed at two different points of time, before and after the COVID-19 pandemic. Multi-group structural equation modeling is utilized for the comparison of the relationships at the two points of time. The results show that the negative influence of health risk perceptions on destination image perception and visiting intentions are significantly larger after the COVID-19 pandemic while there are no significant differences in the impact of destination image perception on visiting intentions. Thus, not only are tourists more sensitive to health risk perceptions after COVID-19, but this higher sensitivity has larger impacts both on their perceptions of destination image and on the behavioural implication. The results have useful implications in terms of the need to dedicate more efforts for the management of health conditions of destinations after COVID-19.

An analysis of Pakistan’s destination attributes and their effects on international tourists’ intentions to visit

This paper aims to generate a clear understanding of Pakistan’s important attributes and their direct and indirect influence via perceived destination images on international tourists’ intentions to visit for a holiday. It employed quantitative research methods through the use of a correlation research design. Both direct and indirect effects of destination attributes on visit intentions were examined and a self-administered online survey was distributed across several social media platforms. The results of multiple regression analysis revealed that landscape, services, local attitudes toward tourists, safety and risk, sport and special events were found to be statistically significant predictors of such intentions. However, all the destination attributes were found to have an indirect influence on international tourists via the perceived destination image of Pakistan.

Sport tourist perceptions of destination image and revisit intentions: An adaption of Mehrabian-Russell's environmental psychology model

In environmental psychology literature, an individual's perception of the surroundings leads to subsequent behaviors. In this regard, small-scale sport events (SSE) have been used as a marketing tool for tourism development. However, how SSEs are leveraged to improve destination image (DI) for tourists has not been fully understood. Building on Mehrabian-Russell's environmental psychology model, this study examined the relationship between the SSE environmental stimuli and revisit intentions through the sequential mediation of cognitive and affective DI. Data from the 423 respondents were collected from 2023 Wuxi Marathon held in Wuxi, China. Structural equation modeling was employed to analyze the hypothesized framework. The results indicated that the SSE environmental stimuli were positively associated with both cognitive and affective DI, which were positively correlated with revisit intentions. The applicability of the serial mediation of cognitive and affective DI within the relationship was confirmed. This study contributes to the sport and tourism literature by extending the applicability of Mehrabian and Russell's model to SSE settings and identifying the serial mediating effects of cognitive and affective DI.

The Influence of Culinary Diversity and Tourism Events on Tourist Expenditures (Study in Central Lombok Regency with Destination Image as Intervening Variable)

This research investigates the interplay between culinary diversity, tourism events, destination image, and tourist expenditures in Central Lombok Regency, Indonesia. A quantitative approach utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to analyze data gathered from domestic and international tourists. Hypothesis testing revealed significant positive relationships between culinary diversity and tourist expenditures, tourism events and tourist expenditures, culinary diversity and destination image, tourism events and destination image, as well as indirect effects through destination image on tourist expenditures. The result highlights the economic importance of diverse culinary experiences and engaging events in driving tourism revenue, shaping destination image perceptions, and influencing tourists' spending behaviors. The study underscores the need for integrated destination management strategies to leverage Central Lombok's cultural and gastronomic assets for sustainable tourism development.

Film-Induced Tourism as a Key Factor for Promoting Tourism Destination Image: The James Bond Saga Case

This research extensively discusses the connection between destination image and films influencing tourism. Despite the worldwide fame of the James Bond saga and extensive publications on the subject, research into the role of tourism promotion in the image of destinations is still scarce, and there is no specific focus on analysing promotional aspects in relation to film-induced tourism. This study focuses on the influence of cinematographic images on the destination image perception and promotion, specifically exploring the case of the James Bond saga as a practical case. With 25 films released since 1962, the James Bond saga provides a basis for evaluating cinematic presence in tourism promotion strategies. This research proposes the content analysis of the official tourist websites of 23 destinations where the James Bond saga was shot, which offer some tourist products linked to the saga. The key findings provide valuable insights into the promotion of James Bond saga tourism destinations, the role of films in promoting destinations, and the tourism products developed from the saga films. The results provide visual outputs about the target image of the film shooting locations, and the text analysis provides keywords linked to the theme. The study’s methodology contributes to the discourse on film tourism and destination image topics and brings practical and theoretical contributions to both academia and destination managers.

Research on Image Perception of Tourist Destinations Based on the BERT-BiLSTM-CNN-Attention Model

Image perception of tourism destinations plays an important role in destination marketing and management. Considering that long-distance feature information of travel review text is difficult to capture and local key information is ignored, BiLSTM and CNN are improved to propose a travel text classification method based on BERT-BiLSTM-CNN-Attention hybrid neural network model. Taking Sanya City as the research object, we adopt the emotion classification and content analysis methods and construct the tourism destination image perception analysis framework based on the “cognitive-emotional” three-dimensional model, providing a research perspective for the sustainable development of tourism in Sanya City. The results show that the accuracy of the proposed model reaches 93.18%, which is better than other models. Tourists’ perception of destination image includes four aspects: tourism resources, tourism environment perception, tourism infrastructure and supporting services, as well as tourism activities. Positive emotions dominate emotional image, and negative emotions are mainly focused on tourism infrastructure and supporting services. On the overall image perception, tourists have a high evaluation of the tourism image of Sanya City. This research has some implications for tourism destinations, such as improving their management programs, enhancing their marketing strategies, and achieving long-term sustainable development of their destinations.

Cross-border destination image for sustainable tourism development in peripheral areas

ABSTRACT The objective of this study is to provide an analysis of the processes involved in the construction of the perception of a cross-border sustainable tourism destination image in peripheral regions. The research presented was conducted using an empirical approach that merges qualitative and quantitative techniques. The main results of this study include the identification of the key components that contribute to the formation of the image of a sustainable cross-border tourist destination in the region encompassing Alcoutim (Portugal) and Sanlúcar de Guadiana (Spain).

Exploring cross-cultural disparities in tourists' perceived images: a text mining and sentiment analysis study using LDA and BERT-BILSTM models

PurposeTourists with different cultural backgrounds think and behave differently. Accurately capturing and correctly understanding cultural differences will help tourist destinations in product/service planning, marketing communication and attracting and retaining tourists. This research employs Hofstede's cultural dimensions theory to analyse the variations in destination image perceptions of Chinese-speaking and English-speaking tourists to Xiamen, a prominent tourist attraction in China.Design/methodology/approachThe evaluation utilizes a two-stage approach, incorporating LDA and BERT-BILSTM models. By leveraging text mining, sentiment analysis and t-tests, this research investigates the variations in tourists' perceptions of Xiamen across different cultures.FindingsThe results reveal that cultural disparities significantly impact tourists' perceived image of Xiamen, particularly regarding their preferences for renowned tourist destinations and the factors influencing their travel experience.Originality/valueThis research pioneers applying natural language processing methods and machine learning techniques to affirm the substantial differences in the perceptions of tourist destinations among Chinese-speaking and English-speaking tourists based on Hofstede's cultural theory. The findings furnish theoretical insights for destination marketing organizations to target diverse cultural tourists through precise marketing strategies and illuminate the practical application of Hofstede's cultural theory in tourism and hospitality.

A Study on the Perception of Destination Image of Myeong-dong, South Korea by Chinese Tourists: Based on Network Text Analysis

A Study on the Perception of Destination Image of Myeong-dong, South Korea by Chinese Tourists: Based on Network Text Analysis

Pengaruh Kepuasan Wisatawan Dan Citra Destinasi Terhadap Minat Kunjungan Ulang Di Kota Lama Semarang

The Old Town of Semarang is a famous tourist destination in Indonesia, with the potential to captivate tourists to return. This study aims to examine the impact of tourist satisfaction and perception of destination image on the intention to revisit the Old Town of Semarang. The research employs a quantitative approach through a survey. Data was collected through questionnaires given to tourists visiting the Old Town of Semarang. The research findings indicate that tourist satisfaction and destination image have a positive and significant influence on the intention to revisit. Tourist satisfaction positively contributes to the intention to revisit because satisfied tourists are more likely to return. Additionally, destination image also positively influences the intention to revisit as tourists with a positive perception of the destination are more likely to return. These findings provide insights for tourism destination managers to enhance tourists' interest in revisiting.

Let’s see the whole picture: a multi-platform visual analysis of historic Mission San José on Instagram, Pinterest, Flickr, and TripAdvisor

ABSTRACT Tourists frequently research, plan, and reflect on their travel experiences online via social networking sites (SNSs). While past tourism research suggests that differences exist in the type of content shared by tourists on different SNSs, there is little research comparing the tourist-generated content (TGC) or user-generated photographs (UGPs) from multiple SNSs. To address this gap in literature, the current study utilized a visual content analysis of tourist-generated social media images from Instagram, Pinterest, Flickr, and TripAdvisor in order to compare these platforms and the messages they communicate about the heritage tourist destination of Mission San José located in San Antonio, Texas, United States. Employing a case study approach of a single tourist destination allowed for the exploration of how a destination can be visualized differently by tourists across different SNSs, how different SNSs are used in different ways by tourists, and how historic visual narratives are communicated in contemporary online spaces. Study findings establish the importance of analyzing visual content from across multiple SNSs because each site offers a unique perspective on the destination. These findings have implications for tourism marketers and researchers attempting to leverage user-generated online content to better understand perceived destination image, particularly in heritage tourism spaces.