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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 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.

This study is aims to identify and categorize the perceived risks of Chinese tourists (from mainland China) traveling to Tehran. In addition, this study investigates the relationship between these risks tourists’ information seeking behavior.

This study investigates the relationship between these risks tourists’ information seeking behavior. The research also tries to model the relationship between the explored perceived risks and tourists’ information-seeking behavior. To collect data, a researcher-developed questionnaire containing 24 questions was designed based on a literature review. Before collecting the data, the validity and reliability of the questionnaire were reviewed and confirmed. To do study procedure, one essential question and two hypotheses, including exploratory factor analysis, stepwise regression and independent samples T-test, are used.

The results showed that Chinese tourists perceived health, physical, political, cultural, social and economic risks before their trip (with political risk being the most prominent). Also, the results indicate that the tourists have used different ways to collect information about Iran in general and Tehran in particular. Those travelers who perceived a higher risk were more likely to use the information sources that provide them with detailed and accurate information before traveling to Tehran.

This study provides valuable insights for destination managers and tourism marketers to attract Chinese tourists by considering their perceived risks and information-seeking behavior. It should be noted that this study is not without its own limitations. These limitations include (but are not limited to) the timeframe in which the data was collected (prior to the outbreak of COVID-19) and the destination (Tehran, Iran). Therefore, it is advised that future researchers study the perceived risks and information sources in other parts of the world.

The concept of perceived risk was used in Chinese tourists’ behavioral seeking to predict their future behavior following their perceptions. Thus, the findings of this study will be necessary to local governments and other destination organizations when building successful strategies.

This study aims to explore the topic of perceived terrorism risk and animosity as interrelated within the context of countries suffering from armed struggles and terror. The research investigates how these constructs influence the visitation decisions of millennials.

The investigation focuses on three countries in the Mediterranean basin with varied degrees of risk but who include a conflict area, for comparison purposes. The data was collected through an online questionnaire aimed at young millennial students.

The study confirms that animosity, for the millennial generation, is derived from conflicts and past historical events, or from political and social issues in the target country. In addition, the results show that animosity not only influences the perceived attractiveness of the destination, and through it the intention to visit the place, but also increases the perceptions of terror risk at the destination.

The research corroborates the importance of investigating animosity and perceived risk together. It also empirically verifies the influence of animosity on visitation intentions via the mediating role of perceived attractiveness of the destination and perceived risk of terror.

The study investigates animosity in countries that suffer from armed political conflicts resulting in terror attacks, a context different from that of other already existing studies. The research also examines how animosity and perceived risk interact with each other to influence visitation decisions, a topic which is lacking in the literature.

This chapter examines destination risk perceptions of domestic pilgrims in Mashhad, Iran. Self-reported questionnaires were distributed to visitors of Imam Reza shrine in Mashhad through a time-based systematic random sampling method. Partial least squares structural equation modeling was used for data analysis. Results indicate that perceived risk was associated negatively with the quality of past visits, nonvictimization experience, and destination loyalty. Having past visit experiences did not moderate the strength of the model’s structural links except for the perceived risk to loyalty. The findings provide insights into distinct risk perceptions that can be leveraged by destination planners to tailor business strategies to meet quality expectations.

This study aims to investigate the relationship between travel motivation, perceived risks, travel constraints and perceived beneficial destination image that leads to visit intention among Middle-Eastern medical tourists. Some previous studies have explained these factors in detail, however, studies that explore the relationship between these factors in the Iranian context is scarce. Moreover, there are relatively very few studies, which focused on actual medical tourists in empirical investigation, therefore, there is still a lack of clarity in the literature regarding travel behavior and travel decision-making of medical tourists.

A quantitative study was performed on 161 Middle-Eastern medical tourists who visited Iran in early months of 2018. Purposive sampling method was used to collect the data from two private hospitals. Structural equation modeling with partial least square (PLS) approach was used and PLS 3.2.8 data analysis tool was used to test the hypotheses.

The data analysis results have found that perceived destination image was the strongest predictor of visit intention among medical tourists. The results have also found a positive effect of travel motivation and negative effect of perceived travel risks on perceived beneficial destination image.

This study aims to enrich the body of knowledge by investigating the relationship between the factors, which have important roles in travel behavior and decision-making of medical tourists. The study also bridges the gap in the literature by explaining the behavior of actual medical tourists. The findings of the study provide the much needed insight on the behavioral intention of medical tourists, which will help the service providers and policymakers to reform their strategies and policies accordingly.

The purpose of this paper is to enlarge the current understanding of destination image in view of identified sources of risk and to investigate the mediating role of government initiatives and media influence for sustainable and secure tourism in a conflict zone. Therefore, this study develops and empirically tests an integrative model of destination image that reflects a comprehensive view of the relationships among these variables.

The study uses data collected through a self-administered survey of respondents selected through probability area sampling from the targeted sample of domestic tourists in hospitality contexts (four- and five-star hotels). The data were analysed using structural equation modelling. The scale was developed and purified through factor analysis (confirmatory factor analysis).

The results provide evidence that psychological risk and socio-cultural risk emerged as the major sources of risk followed by unrest (terrorist) and political risk which is against the predetermined notion that unrest (terrorist) risk is the major source of risk perceived by domestic tourists visiting a conflict zone. Further, the study identified that media is having comparatively higher role in influencing the perception about the sources of risk than the government initiatives in decreasing the sources of risk towards destination image and its competitiveness. Thus, the study supports the fact that for the destination image in conflict zone, performing best in the domain of control (government initiatives) yields very weak performance in the domain of concern (media).

This research contributes theoretically and empirically to the discussions on the components of the destination image in the conflict zone. Further, the study is inert in evaluating mediational role of media influence and government initiatives in the relationship between perceived risks and destination image.

Many non-Islamic countries are approaching halal tourism as the tourism strategy. However, studies examining Muslims’ attitudes and intentions to visit non-Islamic countries remain scarce. The purpose of this study is to test what factors influence Muslims’ intention to visit non-Islamic countries by considering their perception of halal risk and Islamic value of non-Islamic country destinations.

By distributing questionnaires to Muslim respondents, in total, this study collected 436 respondents. The hypotheses are tested using a structural equation modeling approach.

Results revealed that religiosity significantly affects perceived risk, but it does not have an effect on perceived Islamic values and attitude. It is also found that Muslims’ intention to visit non-Islamic countries are mainly influenced by their attitudes. Perceived halal risk and Islamic value strongly affected their attitudes toward non-Islamic countries. Interestingly, the results show that Muslims’ intention to visit non-Islamic countries is not directly influenced by perceived halal risk and Islamic value but indirectly through attitudes.

The equal distribution of respondents becomes the main challenge to achieve. It cannot be controlled by researchers. Thus, the disproportionate respondents’ distribution in terms of age, gender, occupation and, most importantly, the country selection becomes the limitation of this study.

This study contributes to the literature by evaluating perceived Islamic value and perceived halal risks in influencing Muslims’ intention to visit non-Islamic country destinations.

This study aims to empirically examine the factors that are likely to affect tourists’ attitudes to revisit, which, in turn, influence their revisit intentions towards beach destinations.

Data were collected through a personal-administered survey of 601 tourists from three leading beach destinations in Bangladesh.

The empirical results indicate that perceived destination risks affect neither tourists’ attitudes to revisit nor their revisit intentions. However, tourists’ satisfaction and destination image directly affect both their attitudes to revisit and their revisit intentions.

The findings of this study contribute to the extension of the body of knowledge, especially in beach tourism settings where the proposed relationships have yet to be studied.

Coastal-based beach tourism is one of the least researched areas in tourism literature. The relationship between tourist attitude to revisit and revisit intention is exclusive in tourism literature.

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.