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Understanding the multifaceted images of tourism destinations is critical for effective destination marketing and management strategies. Traditional approaches, including conceptualization of destination images or analysis of their antecedents and consequences, are commonly used. This study aims to advocate the inclusion of visitors’ latent profiles based on cognitive images to enrich the evaluation and formulation of destination marketing and management strategies.

The analysis focuses on Serbia, an emerging destination, that attracts an increasing number of first-time, repeat and prospective visitors. Exploratory factor analysis and confirmatory factor analysis were used to test the potential dimensions (tangible and intangible cultural destination; infrastructural and accessible destination; active, nature and family destination; sensory and hospitable destination; and welcoming, value for money (VFM) and safe destination) of the cognitive destination image factors scale while subtypes (profiles) were obtained using latent profile analysis (LPA).

The cognitive image component encompasses the perceived attributes of a destination, whether derived from direct experience or acquired through other means. The study identified the following profiles: conventional destination; sensory and hospitable destination; welcoming, VFM and safe destination; secure and active family destination and accessible cultural destination, which are presented individually with their sociodemographic assets.

The main contribution of the paper is the application of a novel method (LPA) for profiling visitor segments based on cognitive destination image. From a theoretical perspective, this research contributes to the extant body of literature pertaining to the destination image, thereby facilitating the identification of discrete latent visitor segments and elucidating noteworthy differences among them concerning a cognitive image.

This study utilised Mehrabian and Russel's stimulus-organism-response (SOR) model to investigate the inter-relationship between perceived social media information qualities (IQ) of online UGC, destination image, perceived travel risk and behavioural intentions.

A total of 255 responses from international tourists were collected. The data collection via an online survey was performed from October 2020 to February 2021. The study model and hypotheses were examined using partial least squares-structural equation modelling (PLS-SEM).

The result indicated that social media intrinsic, representational, and social IQ significantly influenced tourists perceived cognitive image, while only contextual and social IQ significantly predicted the perceived affective image. This study also confirms the significant effect of cognitive image on the affective image. In addition, the authors found that both destination image components, cognitive and affective, significantly affect tourists' behavioural intentions. However, surprisingly, tourists' perceived travel risk did not moderate the effect of destination image components on behavioural intentions.

This study contributes to the body of knowledge by extending Mehrabian and Russel's SOR model in the tourism behaviour context.

From a practical perspective, this study proves that UGC significantly affects destination image and plays an integral part in luring tourists to visit a destination.

Previous research in this area is limited, making this study particularly novel. This study represents one of the initial attempts to evaluate the dimensions of information quality in UGC on social media and online review platforms, particularly within the field of tourism. Treating online travel UGC seriously could assist organisations in leveraging tourist behaviour and enhancing destination image.

Tourists’ irresponsible behaviours (e.g. damaging flowers, writing and painting on the walls and throwing waste material in the water and around the sea site) damage the coastal environment. The irresponsible behaviour of tourists has raised concerns about the sustainability of the coastal tourism environment. The purpose of this study is to identify and explain the behavioural patterns of tourists that can influence the environmentally responsible behaviours (ERBs) of tourists, particularly in the context of coastal tourism. The study aims to provide a theoretical and practical explanation of destination image and perceived destination value (PDV) in shaping ERB with the mediating role of destination social responsibility (DSR) among tourists at the coastal touring destination.

The study used a quantitative research design and data were gathered from the five beaches in Karachi. Structured equation model was used to analyse the direct and mediating effect while stepwise regression was used to analyse the moderating effect of DSR. The results of the direct effect showed that cognitive image has a significant effect on the affective image, while the insignificant effect on conative image and ERB. While the affective image has a significant effect on conative and ERB, and finally, results showed a significant effect of conative image on ERB. Results of the study revealed that PDV significantly mediated the relationship between cognitive, affective and conative destination image and ERB. Finally, the study’s results revealed that DSR has significantly moderated the relationship between affective, conative destination image, PDV and ERB.

The results are divided into three categories, direct effect, mediating effect and moderating effect. The results of the direct effect showed that cognitive image has a significant effect on the affective image, while the insignificant effect on conative image and ERB. While affective image has a significant effect on conative and ERB, and finally, results showed a significant effect of conative image on ERB. It is found in the results that PDV significantly mediated the relationship between cognitive, affective and conative destination image and ERB. Finally, the study’s results revealed that DSR has significantly moderated the relationship between affective, conative destination image, PDV and ERB.

First, data has been collected from a single geographic area of Pakistan. Therefore, cross-country data are required to compare the ERB of tourists. Second, only local respondents are considered in the study; future studies may include foreign tourists as well. Finally, data has been collected during one month in summer, which may have measured the experience of only summer. The respondent may have different perceived values and destination images during winter. The future study may split data collection into summer and winter to cover diverse perceptions of tourists.

It is almost impossible for coastal destinations to achieve a competitive advantage without attaining sustainable coastal environments. Clean and green beaches and responsible behaviour towards marine mammals can only be achieved through tourists’ ERB. This study has major contributions towards society by reserving the natural environment of coastal areas.

This research will significantly contribute to the existing literature by extending the ERB knowledge through the theoretical lens of cognitive-affective-conative models and social expectancy theory. Moreover, PDV as a mediator and DSR as a moderator will enhance the understanding of ERB and extend the existing literature. Further research has provided a strong understanding of how cognitive, effective and conative image helps in influencing the ERB of tourists. Moreover, research will benefit destination managers and policymakers to enhance the image and perceived value of touring destinations. Finally, this study is a unique attempt to present a comprehensive model which could be applicable to diverse situations and areas.

This research analyses the simultaneous relationship between perceived risks, destination image and destination loyalty as well as the mediating role of two components of destination image (cognitive and affective) in the relationship between perceived risks and destination loyalty.

The current study used a convenience sampling method for collecting data from 413 respondents using a self-administered questionnaire. Furthermore, the two-step approach for structural equation modelling (SEM) was used to assess the model's psychometric properties and test the proposed structural model.

The results revealed that only socio-psychological and political risks negatively affected destination loyalty. In contrast, performance risk, physical risk and financial risk did not show a significant direct effect on tourists' destination loyalty. Each type of perceived risk significantly contributed to cognitive and affective image formation. However, the financial risk did not significantly affect the affective image. Moreover, the affective component of the image was found to have a higher impact on establishing destination loyalty than the cognitive component of the image. Finally, cognitive and affective facets of the image were found to act as significant mediators between perceived risks and destination loyalty.

The study provides a better understanding of how perceived risks and destination image, if properly managed, exert a better influence on destination loyalty. Moreover, the affective dimension of destination image must be actively used to position Kashmir in the domestic tourism market and connect with individuals, especially those who have negative feelings regarding risky destinations.

This is likely to be the first study to investigate the relationships between various dimensions of perceived risk, destination image and destination loyalty in the context of a volatile destination, i.e. Kashmir Valley (India). Furthermore, the role of two facets of destination image (cognitive and affective) in mediating the relationship between perceived risks and destination loyalty extends and contributes to the theoretical foundation for the destination perception concept.

This study aims to investigate potential tourists’ behaviour regarding visiting and recommending a destination based on an image derived from a virtual reality (VR) model, including motivations for travel and place attachment.

The study had two phases and used both qualitative and quantitative methodological approaches. The qualitative approach consisted of a focus group conducted to obtain the most important attributes of the destination image. The quantitative approach, which consisted of a self-administered questionnaire, was distributed to all the participants following a VR experience to provide data to empirically test the hypotheses proposed in the conceptual model.

Motivations for travel positively influence the image of a destination in both its cognitive and affective dimensions. Also, the cognitive dimension of destination image influences affective dimension of destination image and both dimensions affect overall destination image. Moreover, destination image, cognitive dimension and affective dimensions influence place dependence and identity. In turn, place dependence and place identity positively influence intention to visit the destination, but not intention to recommend it. Finally, intention to recommend the destination is positively influenced by the intention to visit the destination.

Due to the complexity of the overall experience, the sample was selected purposefully, and all participants belong to Generation Z. Extending this study to other generations would also be valuable.

Although the utility of VR for tourism marketing purposes has been one of the most researched areas during recent years, factors that could encourage tourists to visit destinations previously displayed in VR are not yet identified.

Does a highly standardized international advertising campaign enhance destination image? Drawing evidence from Turkey's Home Global Image Campaign, the authors investigate this fundamental question. This would help the authors to understand whether there are significant differences in cognitive and affective image among tourist groups in Europe in a destination where there is a highly standardized international advertising campaign.

Data collected from British, German, French and Italian tourists through the official Twitter account of the Turkish Ministry of Culture and Tourism (TMCT) were used to carry out the quantitative analysis. Analysis of variance test was performed to assess the differences in nationalities. The Scheffe test was also applied as a post hoc comparison.

Cognitive image attributes such as “good value for money,” “good climate,” “interesting and friendly people,” “beautiful scenery and natural attractions,” “interesting cultural attractions,” “appealing local food (cuisine)” and “hygiene and cleanliness” are found to be less favorable in the perceptions of French tourists than those of British, German and Italian tourists. British, German and Italian tourists perceive Turkey as a more pleasant destination than French tourists. Overall, the findings suggest that a highly standardized international advertising campaign fails to boost the destination image for all nationalities.

The TMCT officials should use the adaptation strategy in international advertising campaigns since the findings denote that the “one-size-fits all” approach is problematic. The TMCT should support and promote environmental sustainability efforts and green hotel practices to attract more tourists and use them in different communication channels.

Assessment of affective and cognitive destination images (differences) is still an unresolved issue in the destination management and marketing literature. It seems that there is no empirical study investigating the cognitive and affective image attributes of a destination based on standardization versus adaptation approaches. This paper makes a contribution to the current literature by demonstrating that using the same image campaign in different markets is a practice that fails to achieve the intended goals.

The role of social media in the tourism industry growth cannot be ignored, because today the internet and social media platforms are one of the most popular information channels used by potential tourists and have become one of the main sources of online travel information. This study investigates the role of content cues of tourism information quality provided in Elie Gasht firm's Instagram page on enhancing awareness of the destination brand and forming users' destination image.

A quantitative research design was used to validate the hypotheses proposed in this research. A survey was deployed using the convenience method among 187 users of Elie Gesht's Instagram page to test the theoretical model. The structural relationships in the research were examined using the partial least squares structural equation modeling.

The findings of the present research indicated that the content cues of the quality of information provided by the firm have a positive effect on enhancing destination brand awareness and in turn improve affective image and cognitive image. Eventually, the content cues of the quality of information provided by the firm impact the formation of a conative image through the affective and cognitive image of the destination.

Pragmatically, the findings of this study urge policymakers of tourism companies, managers and destination marketers to take into account the special role of the firm's social media in enhancing destination brand awareness, which in turn promotes destination brand image. Therefore, providing empirical evidence on what leads to the promotion of destination brand awareness and different types of image formation of the destination due to information content quality provided by the firm on social media, provides managerial insights for corporate marketers and tourism destinations.

This study contributes to the body of knowledge on the role of quality of tourism information content presented in the firm's social media by providing empirical evidence on enhancing destination brand awareness and destination image formation. It also helps firm managers and planners build their marketing strategies to attract more customers through social media.

The aim of this study was (1) to investigate the relationship between destination image (DI), destination personality (DP) and behavioral intention (BI) in the context of ski tourism and (2) especially the role of DP in the relationship between DI and BI among ski tourists.

We collected data using WJX.CN (N = 400) to test the hypothesized model. Confirmatory factor analysis (CFA) was used to examine the psychometric properties of the measurement model and partial least squares structural equation modeling (PLS-SEM) was used to test the hypotheses.

The results show that DI directly affects DP and partially affects BI, while DP directly affects ski tourists' BI. In addition, the indirect effect of DP between affective image and BI was significant, showing full mediation, and the indirect effect of DP between cognitive image and BI was significant, showing a partial mediation effect.

The findings enrich the ski tourism literature, contribute to the development of ski tourism in destination cities and the strategic marketing of ski resorts and provide recommendations for ski tourism researchers and marketers.

This paper aims to establish the causal relationship between destination image and tourist motivation and engagement.

A causal model with seven hypotheses was tested into a sample of 438 domestic tourists in Acapulco (Mexico).

Cognitive destination image is the main antecedent of tourist engagement, exerting an important direct and indirect effect through push and pull motivations. Affective image also exerts a direct effect on tourist engagement and an indirect effect through push and pull motivations. Only pull motivations exert an influence on tourist engagement.

The study is based on domestic tourists at a sun and beach destination.

Destination management organisations should invest in the care, improvement and promotion of tourism resources. Online and offline communication campaigns should be based on tourism resources and experiences.

This paper fulfils three research gaps: destination image is associated with tourist engagement; tourist motivations affect tourist engagement; and destination image is associated with tourist motivations.

Kaiping Diaolou in Guangdong Province, China, is a UNESCO World Heritage site that is often used as a film location. This study aims to investigate the antecedents of film-induced heritage conservation behaviour in tourists visiting Kaiping Diaolou. The conceptual premises of stimulus-organism-response theory were used to provide additional insight into the impact of film- and heritage-induced images, and tourists’ perceived authenticity, destination attachment and heritage conservation intention.

The authors tested the hypotheses using covariance-based structural equation modelling by using the data collected from the 391 valid questionnaires.

The empirical results reveal that both film- and heritage-induced images have a direct impact on tourists’ heritage conservation intention. Furthermore, perceived authenticity and destination attachment fully mediate the relationship between destination image and conservation intention, while the serial multiple mediator effect in the heritage destination image model is not significant.

The findings contribute to the understanding of tourists’ heritage conservation intention through the lens of destination image, perceived authenticity and destination attachment. The study’s findings enrich the literature on film and heritage tourism regarding destination image construction and heritage conservation and have implications for the sustainable development of heritage tourism and heritage conservation, as well as the marketing of heritage sites.

位于中国广东省的开平碉楼是联合国教科文组织认证的世界文化遗产, 并经常被用作电影拍摄地。本研究调查了影响开平碉楼影视旅游游客的遗产保护行为的前因。本研究采用刺激-有机体-反应 (SOR) 理论的概念, 探究电影和遗产所诱发的目的地形象、游客的感知真实性和目的地依恋, 对游客遗产保护意图的影响。

本研究共回收 391 份有效问卷, 并使用基于协方差的结构方程模型来检验研究假设。

实证结果表明, 电影和遗产诱导的目的地形象都直接影响游客的遗产保护意愿。此外, 游客的感知真实性和目的地依恋完全中介了目的地形象与保护意愿之间的关系。但是在遗产目的地形象的模型中, 感知真实性和目的地依恋的串行多重中介效应不显着。

研究结果有助于通过目的地形象、感知真实性和目的地依恋来理解游客的遗产保护意图。本研究丰富了关于目的地形象建设和遗产保护的文献, 并对遗产旅游和遗产保护的可持续发展以及遗产地的营销产生了积极影响。