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The data sample used in this study is composed of 2,638 Chinese tourists who have travel experiences to the South Pacific region. This study examines the effects of memorable tourism experiences, destination cognitive and affective images, and satisfaction on revisit intention and their mechanisms from a cognitive–affective perspective. Results show that destination cognitive image, destination affective image, and satisfaction, respectively, play a mediating effect on the relationship between memorable tourism experiences and revisit intention. Memorable tourism experience is the most important predictor of revisit intention, and it mainly affects the cognitive image of a destination. In line with previous studies, this research has shown that memorable tourism experiences have significant impact on the destination image and tourists' revisit intention, which can provide significant implications for tourism practitioners and destination managers in the South Pacific islands.

This applied neuroscience study aims to understand how direct and unconscious emotional and cognitive responses underlie travel destination preferences. State-of-the-art neuroscience tools and methods were used, including stationary eye tracking and brain scanning electroencephalography (EEG) to assess emotional and cognitive responses to destination images and assets. To the researchers’ knowledge, this study is the first applied neuroscience study in tourism research and thus opens a new path of research and enquiry to this area. This paper is an attempt to understand specific mental processes in human tourism behaviours, and it is suggest that unconscious emotional and cognitive responses are natural processes that need to be studied and understood, not as special cases, but embedded as natural parts of tourism research.

To better understand consumers’ unconscious responses to possible travel destinations, a 3 × 5 factorial design was run with the factors being stimulus type (images, printed names and videos) and travel destination (Dubai, Abu Dhabi, Hong Kong, New York and London). Eye-tracking calibration was done with a nine-point fixation test and the EEG calibration was done using functional localizer tests based on the ABM B-ALERT calibration process. This calibration procedure allows reliable tracking of emotional and cognitive responses over time. Thirty Emirati (nationals of the UAE) participants, consisting of equal numbers of males and females (15) were recruited from the UAE and signed informed consent. Each participant was positioned in front of an eye tracker and computer screen, and brain-scanning equipment was mounted; then, each participant underwent eye-tracking and neuroimaging calibration procedures. A Tobii T60XL eye tracker and an ABM X-10 EEG brain scanner, both running iMotions v5.1 in a Windows 7 environment, were used.

General emotional and cognitive differences were identified between the channels through which travel destinations are presented. Words about and names of travel destinations cause higher cognitive loads, which may not be surprising, given the greater associative load that words have than images. Of particular interest is the hypothesis that images evoke stronger affective responses than verbal representations. However, as previously noted (Holmes and Mathews, 2005), empirical evidence for this assumption seems surprisingly sparse. The present study and the context provided here suggest that decisions on travel destination have an unconscious component and a direct component that may drive or affect overt preference and actual choice.

The limitations of this paper is that first, neuromarketing is not dependent on sample sizes; however, future studies could build on this paper to understand why there is a preference for cities. It is suggested that unconscious emotional and cognitive responses are natural processes that need to be studied and understood, not as special cases, but embedded as natural parts of tourism research.

Thus, tourism research may indeed be a suitable field for understanding the brain bases of complex preference formation and choice. Various researchers have found that a destination image is typically measured using cognitive, affective and behavioural components, and further stated that the cognitive image component of a destination was found to have a significant positive effect on the affective image component and overall destination image (Stylidis et al., 2017). Therefore, this research which has introduced brain scanning can be used to better understand the underlying unconscious emotional and cognitive processes that affect consumer thought and action. An understanding of what goes on in the human unconscious mind is very important for destination marketers, this can help in the integrated marketing communication process to create a destination image and brand.

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 paper aims to verify the brand image effects of holding a sport mega-event by investigating the host city's influence on the country's branding, as a tourist destination.

This research considered the Rio 2016 Olympic Games and uses quantitative methods: exploratory factor analysis and regression. Data were collected by structured questionnaires with a sample of (n = 274) international respondents with high international travel experience.

Rio de Janeiro's 2016 host city image positively predicted Brazil's tourist destination image. Both cognitive and affective image dimensions of Rio as a host city predicted Brazil's destination image, but the cognitive image dimensions demonstrated more impact.

Even in a mega-event context, city marketing strategies should be planned and executed with a focus on the country's destination image.

The study contributes by focusing on presenting the importance of the host city image dimensions to the host country destination image in a sports mega-event context. The study investigated a new approach, the impacts of affective and cognitive dimensions in the overall destination image considering two connected destinations and the hosting of a sport mega-event, a condition not found in the literature thus far.

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.

The purpose of this study is to investigate the influence of tourists’ emotional experiences on predicting behavioral intentions via cognitive, affective and overall image in yoga tourism.

This study was conducted using data collected from 398 tourists visiting a yoga tourism destination in India. Confirmatory factor analysis and structural equation modeling were used in analyzing the collected data.

The study confirmed that specific tourists’ emotions act as a predictor of cognitive, affective and overall image. This in turn influenced the behavioral intentions of tourists. The effect of specific emotions on affective image was stronger than on cognitive image in yoga tourism.

The marketing campaign of yoga tourism should highlight the special benefits of yoga to activate, stimulate and influence tourists toward yoga tourism, thereby improving the flow of future tourists. It would also help in better positioning and promoting yoga tourism as a unique and distinct niche tourism market.

This study contributed to the literature by understanding the predictive power of specific emotions on behavioral intentions via, cognitive, affective and overall image in yoga tourism. As far as the authors’ knowledge is concerned, this study is first known attempt to investigate such relationships in tourism literature.

This paper aimed to verify the most important factors (cognitive and affective dimensions) perceived in Rio de Janeiro’s image as the host city of the 2016 Olympic Games and to identify the factors that predict better the overall city image and its affective image dimension in this particular context of a sports mega-event.

This paper employs exploratory factor analysis to define intervening factors in each dimension of Rio de Janeiro’s image. By parting from the initial diagnostic analysis, multiple regression analysis was applied to measure how the intervening factors predicted the overall image of the host city, as well as to whether its cognitive dimension was able to predict the affective dimension. Data collection was conducted by applying structured questionnaires with a sample of international respondents (n = 274).

Rio’s image as a sports mega-event host city presented two intervening factors for each dimension. For image composition, the most important cognitive factor diagnosed was “Services and Attractions.” For the affective dimension, the most important factor diagnosed was “Positive Feelings.” The investigation concluded that the cognitive dimension was capable of predicting the affective dimension, as “Positive Feelings” was the factor that better predicted Rio’s overall image as the host city of the 2016 Olympic Games, while the “Services and Attractions” factor was not significant in predicting the host city’s image.

The main focus of the investigation was the host city’s international image as presented by primary sources. The sample for investigation was therefore composed exclusively of foreign students, nonresidents in Brazil, who did not participate in said events. Although this approach provides a partial diagnostic of the host cityvs image, for an overall and accurate image diagnostic it is also relevant to investigate the national residents’ point of view, which is beyond the scope of this investigation.

The findings suggest that destination marketers would obtain better results investing in the affective dimension, employing actions that stimulate positive feelings about the host city, especially when relating to sports mega-event. Investment in general infrastructure is also presented as a relevant factor.

The host city’s image can guide policies to improve local capacity to attract investments and new events that contribute to change in urban areas, as well as to reinforce positive aspects of that image. Investment in general infrastructure, again, is presented as a crucial issue.

The value and originality of the presented investigation lie in a lack of specific studies on Rio’s image as a travel destination, despite its being the most important touristic city in Brazil and the host for the 2016 Olympic Games. A separate analysis of individual image dimensions and the examination of intervening cognitive factors in the affective dimension are also not common in a sports mega-event context.

This study aims to examine the influence of destination awareness, cognitive and affective image, risk perception and past visitation on the intention to visit a tourist destination (a medium-sized city) in the next 12 months.

Partial least squares structural equation modeling was adopted to examine the data collected from 714 domestic holidaymakers.

Results demonstrate that awareness, cognitive and affective image, past visitation, perceived risk of traveling and perceived risk in international versus domestic travel are key factors; safety concerns enhance the cognitive image and perceived safety of the destination, but increase the perceived risk of traveling; and perceived social risk increases the perceived risk of traveling.

Data collection from only one country limits the generalizability of the conclusions.

Conclusions allow gaining new insights regarding communication strategies in general, during and post-pandemic times.

Using a consolidated and empirical approach, this study provides a better understanding of the role of perceived risk and its effects on cognitive and affective image and travel intention. For instance, to the best of the author’s knowledge, it is the first study to consider the effects of social risk in the pandemic context. It also offers insights into the mediating effect of destination image and the moderating effects of perceived risk and past visitation.