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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.

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 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 research is to differentiate and examine how country image (cognitive and affective image) has different impacts on product judgment and purchase intention in rational versus experiential purchases.

A large-scale survey involving over 1,200 consumers was conducted in China. Structural equation modeling was used to analyze the data and test hypotheses.

Empirical results show that the impact of country image on consumer purchase intention is mediated by general and category product image. In particular, the impact of cognitive country image on category product image is fully mediated by general product image in both rational and experiential purchases, whereas the affective country image has a direct impact on category product image in experiential but not in rational purchases.

This research extends the extant country-of-origin literature and shows that the product image dimension of the country-of-origin construct mediates the effect of the country image dimension of the country-of-origin construct on consumer purchase intention, and demonstrates the different effect of affective country image on product image in rational versus experiential purchases.

The findings of this research can help multinational marketers, exporters and retailers to better decide when to benefit from their positive country image and avoid the potential pitfalls associated with negative country image.

This study differentiates between cognitive and affective country image and between general and category product image. Thus, it provides insight to further understand how country image can influence consumer product judgment and purchase intention differently in rational and experiential purchases.

Decision-making in human beings is affected by emotions and sentiments. The affective computing takes this into account, intending to tailor decision support to the emotional states of people. However, the representation and classification of emotions is a very challenging task. The study used customized methods of deep learning models to aid in the accurate classification of emotions and sentiments.

The present study presents affective computing model using both text and image data. The text-based affective computing was conducted on four standard datasets using three deep learning customized models, namely LSTM, GRU and CNN. The study used four variants of deep learning including the LSTM model, LSTM model with GloVe embeddings, Bi-directional LSTM model and LSTM model with attention layer.

The result suggests that the proposed method outperforms the earlier methods. For image-based affective computing, the data was extracted from Instagram, and Facial emotion recognition was carried out using three deep learning models, namely CNN, transfer learning with VGG-19 model and transfer learning with ResNet-18 model. The results suggest that the proposed methods for both text and image can be used for affective computing and aid in decision-making.

The study used deep learning for affective computing. Earlier studies have used machine learning algorithms for affective computing. However, the present study uses deep learning for affective computing.

This study aims to identify how perceived destination social responsibility (DSR) drives destination brand loyalty through a jointly and independently mediated mechanism of cognitive and affective components (e.g. tourist-destination identification, cognitive image, affective image and tourist satisfaction) and to examine the moderating role of individual-level collectivist values in linking perceived DSR and tourist behaviors.

An online survey is conducted to collect the data of 351 domestic tourists visiting an urban tourism destination (e.g. Danang City) in Vietnam. A serial multiple mediation model and moderation model were examined by applying covariance-based structural equation modeling.

This research’s results highlight the leading factors of perceived DSR in the process of forming destination brand loyalty and confirm the vital role of the intermediary mechanism of tourists' cognition and affect during this process. The chain of causal relationships DSR → TDI → CI → AI → TS → DBL confirms the role of perceived DSR as an essential prerequisite factor of DBL, creating a close connection to tourists' cognition and affect and contributing to improving destination brand loyalty. Individual-level collectivist values were found to positively moderate the links between perceived DSR and tourist-destination identification, affective image and destination brand loyalty.

Future research would provide insights into the links between perceived DSR and tourist behaviors by considering moderating variables (e.g. cultural distance and tourist types) and uncovering specific insights into each destination stakeholder's DSR activities.

A new integrated model of destination brand loyalty development is proposed to explore a new path for destination brand loyalty formation through cognitive, affective and cognitive-affective pathways. This moderating stream of examining individual-level collectivist values can make a significant contribution to the extant tourism literature by promoting a more positive tourist perception of DSR, thereby increasing tourists' knowledge, beliefs and emotions and enhancing destination brand loyalty.

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.

The purpose of this research is to investigate the change in the relationship of cognitive destination image, affective destination image, destination psychological commitment and destination psychological ownership with intention to visit destination because of COVID-19 pandemic.

The research followed a longitudinal design with 424 samples collected in two phases (t1 – before COVID-19; t2 – during COVID-19). The hypotheses were analysed using structural equation modelling, and the difference between the models (before and during COVID-19) was estimated using multi-group analysis.

The results indicate that destination psychological ownership and affective destination image share higher significant relationships with intention to visit destination even during COVID-19.

The results have indicated the role of destination psychological ownership in building a sustainable campaign towards the visit intention even during a crisis.

The study contributes to understanding the difference of tourists intention to visit destination before and during COVID-19 from the lens of various theories such as psychological ownership, psychological commitment and destination image.

The purpose of this paper is to explore both the cognitive and affective images and examine the effects of destination image through both aspects on satisfaction levels and tourist loyalty.

Data collection was conducted using the convenience sampling method. The on-site survey was carried out with Chinese tourists at the popular tourist sites in Seoul City.

The results showed that the cognitive image had a direct influence on the affective image and confirmed the formation process of the destination image. Both cognitive and affective images had positive influences on satisfaction, and in turn, satisfaction predicted tourist loyalty. Moreover, the relationship between destination image and loyalty revealed that the affective image had a direct influence on tourist loyalty. Although the cognitive image showed no direct linkage to tourist loyalty, the authors found that it had an indirect influence on tourist loyalty through affective image and satisfaction.

The findings of this study provide a better understanding of the process that determines Chinese tourists’ destination choices and loyalty. Moreover, it provides insightful implications for the Korean Government, the Korea Tourism Organization and tourism operators.