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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 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.

The purpose of this paper is to propose a model of relationships for conflict-ridden destinations that include variables concerning the dispute and their effect on key constructs that shape visitation decisions.

The theoretical model is examined for two conflict-ridden Eastern Mediterranean destinations, Israel and Turkey, which suffer from ongoing armed conflicts, using two samples of potential tourists residing in the USA (n = 1,581) and India (n = 1,383).

The relationships are stable for both destinations and cultural contexts. Animosity is a strong factor in tourists’ decisions, whereas perceived risk has a relatively insignificant impact. Knowledge of the conflict is also found to influence decisions about visiting conflict-ridden destinations.

The study investigates the role of variables related to the conflict as antecedents of animosity and perceived risk, thus contributing to the understanding concerning decisions to visit conflict-ridden destinations. The model is generalized for varied destinations and cultures.

该研究提出了一个针对有冲突目的地的关系模型, 其中包括与冲突有关的因素以及对旅游访问决策的关键概念的影响。

使用基于美国（n = 1,581 ）和印度（n = 1,383）的潜在游客样本, 本文的理论模型检验了两个东地中海目的地, 以色列和土耳其, 该目的地遭受了持续的武装冲突。

获得的关系在两个目的地和文化背景下都是稳定的。敌意是影响游客决策的重要因素, 然而风险感知的影响相对较小。研究还发现了对冲突的认知会影响有关访问目的地的决定。

该研究调查了与冲突相关的因素作为敌意和感知风险的前因变量, 从而有助于我们理解关于访问有冲突的目的地的决策, 该模型适用于不同的目的地和文化。

La investigación propone un modelo de relaciones para destinos en conflicto que incluye variables relacionadas con el conflicto y su efecto en conceptos clave para las decisiones de visita del turista.

Se examina el modelo teórico para dos destinos del Mediterráneo oriental, que sufren conflictos armados en curso, Israel y Turquía, utilizando dos muestras de turistas potenciales que residen en los Estados Unidos (n = 1.581) y la India (n = 1.383).

Las relaciones obtenidas son estables tanto para los destinos como para los distintos contextos culturales. La animosidad es un factor importante en las decisiones de los turistas, mientras que el riesgo percibido tiene un impacto relativamente insignificante. También se ha encontrado que el conocimiento del conflicto influye en las decisiones de visita al destino en conflicto.

El estudio investiga el papel de las variables relacionadas con el conflicto como antecedentes de la animosidad y el riesgo percibido, contribuyendo así a nuestra comprensión sobre las decisiones de visitar destinos en conflicto. El modelo es generalizable a distintos destinos y culturas.

Policing activities aim to provide a safe environment for tourists. With the recent major protests that have erupted around the world, and the novel use of excessive police force against protestors, people may wonder if the policing deployment is for destination safety or to deter tourists from visiting. This paper aims to investigate anti-police and pro-police attitudes and tourists' behavioural responses towards a popular destination experiencing an ongoing social movement.

Data were collected between December 2019 and January 2020 (during the social movement). An online survey with a snowball sampling method was adopted to reach international tourists who were aware of the social movement in Hong Kong.

The results revealed that an individual with an anti-police attitude was found to be related to cognitive and affective destination images and perceived risks while those holding a pro-police attitude were more concerned with destination images only. No significant correlation was found between attitudes towards policing and travel intention.

This research presents a first attempt to investigate the relationship between tourists' policing attitudes and their behavioural responses during an ongoing social movement in a popular destination city.

This study aims to predict the effect of cultural distance, perceived risk and electronic word of mouth (eWOM) on higher education institutes' students' destination image. In addition, it examines the mediating role of destination image in relation to students' travel intentions.

An online survey was employed to collect data from 200 graduate and postgraduate students. The partial least squares was employed to analyse the hypothesised relationships.

The results of this study found support for the positive effect of cultural distance and eWOM on destination image. Additionally, the mediating effect of destination image was also supported.

This research confirms the vital role of destination image as an antecedent of students' future intention to visit the destination. Moreover, this study contributes to marketing theory by predicting the critical drivers of higher education students' destination image and discussing their applications in the education sector.

Virtual reality (VR) technology is a potential tool for tourism marketers to maintain the attractiveness of their destinations and recover from the COVID-19 pandemic. However, the effectiveness of VR technology in motivating potential tourists' visit intention under lockdown conditions remains unknown. An integrated model based on the experience economy framework and mood management theory was, therefore, used to explain how tourists' VR experiences affect their mood management processes and subsequent behaviors. This research also examined how perceived travel risk influenced the relationship between mood management processes and future decisions.

This study used a cross-sectional design based on a sample collected from a Chinese survey company, Sojump. The author surveyed 285 respondents who had experienced VR tourism activities during the COVID-19 pandemic. The research model was tested using partial least squares–structural equation modeling.

The results demonstrated that the four dimensions of VR experiences differently affected mood management processes, while perceived travel risk differently moderated the influence of mood management processes on visit intention and VR stickiness. This provides insights for tourism marketers to adapt to the current tourism environment and develop recovery strategies.

In response to gaps in the literature, this research examined the effectiveness of VR technology in driving tourists' visit intention during the COVID-19 pandemic, providing insights for tourism marketers to successfully implement VR tourism and plan timely recovery strategies.

This study aims to extend the theory of planned behaviour (TPB) to develop finer understanding about tourist’s attitude and intention towards visiting a politically unstable and conflict-ridden destination such as Kashmir.

A research instrument adapted from previous studies is administered on 490 tourists. The data collected is subjected to exploratory factor analysis followed by structural equation modelling using SPSS and AMOS. The study tests and validates a more robust behavioural prediction model grounded on the TPB.

The results of the study found that the tourists’ destination choice intention in a politically sensitive area such as Jammu and Kashmir is collectively determined by perceived destination attractiveness, perceived destination image, familiarity with place, media exposure and perceived value. However, quite interestingly, perceived risk and attitude were found to be insignificant determinants of choice intentionality.

The study empirically validates extended TPB to predict tourist behaviour in a politically sensitive setting. Furthermore, the study provides vital inputs to the destination managers, policy makers and practitioners to develop strategies to enhance destination image and attractiveness. Although the study provides critical insights into the tourist’s decision-making process, nonetheless, certain limitations, such as restricted geographical approach, convenience sampling and ignoring the inter-group variations, warrant attention.

The study is essentially a pioneering effort in applying an integrated TPB model in determining destination choice intentionality in a politically sensitive region of Jammu and Kashmir. The region has the potential to be one of the best destinations in the world. Therefore, studying the tourist perceptions and attitudes and intention towards Kashmir could help the local government and other destination management organizations in charting future courses of action.

本研究旨在扩展计划行为理论（TPB）, 以便更深入地了解游客对以克什米尔为例的政治动荡、冲突不断型旅游目的地的态度和意向。

基于以往研究, 本文修订开发了适用于本研究的研究工具, 并据此采集了490个游客样本。运用SPSS软件和AMOS软件, 本研究对样本数据进行了结构方程建模, 并以此进行探索性因子分析。本研究检验并验证了基于计划行为理论（TPB）的更有力的行为预测模型。

研究发现对于查谟和克什米尔这类政治敏感的目的地, 游客的目的地选择意向由目的地感知吸引力、目的地感知形象、感知价值、媒体曝光度和游客对地方的熟悉程度共同决定。研究还有一项有趣的发现：感知风险和态度对游客的目的地选择意向的影响并不显著。

研究实证检验了扩展计划行为理论对政治敏感环境下游客行为的预测作用, 为目的地管理人员、政策制定人员和从业人员等提升目的地形象和吸引力提供了重要参考。然而, 尽管本研究揭示了游客的决策行为过程, 但研究结论仍受限于以下几点：单一的地理研究方法、方便抽样法、忽视了群体间的差异。

本文开创性地利用扩展的计划行为理论模型研究游客对政治敏感地区——查谟和克什米尔的选择意向。克什米尔地区有潜力成为全球最佳的旅游目的地之一, 因此研究游客对该地区的感知、态度和意向对于当地政府和其他管理组织制定未来的行动方案具有重要意义。

Este estudio se centra en extender la teoría del comportamiento planificado para una mejor comprensión de la actitud y la intención de los turistas de visitar un destino políticamente inestable y conflictivo como Kashmir.

Se administró un cuestionario adaptado de estudios previos a 490 turistas. Los datos recogidos se analizaron mediante análisis factorial exploratorio seguido de un modelo de ecuaciones estructurales mediante SPSS y AMOS. El estudio prueba y valida un modelo de predicción de comportamiento más robusto basado en la Teoría del Comportamiento Planificado (TPB).

Los resultados del estudio muestran que la intención de elección del destino en un área políticamente sensible como Jammu y Kashmir está determinada conjuntamente por el atractivo percibido del destino, la imagen percibida del destino, la familiaridad con el lugar, la exposición a los medios y el valor percibido. Sin embargo, el riesgo percibido y la actitud resultaron ser determinantes no significativos de la intencionalidad de elección.

El estudio valida empíricamente la TPB ampliada para predecir el comportamiento de los turistas en un entorno políticamente sensible. Además, el estudio proporciona información relevante a los gestores de destinos, los responsables políticos y los profesionales para desarrollar estrategias que mejoren la imagen y el atractivo de los destinos. Aunque el estudio proporciona una visión crítica del proceso de toma de decisiones del turista, ciertas limitaciones, como el enfoque geográfico restringido, el muestreo de conveniencia y el hecho de ignorar las variaciones intergrupales, merecen atención.

La investigación presenta un esfuerzo pionero en la aplicación de un modelo TPB integrado que determina la intencionalidad de la elección del destino en una región políticamente sensible de Jammu y Kashmir. La región tiene potencial para ser uno de los mejores destinos del mundo. Por consiguiente, el estudio de las percepciones, actitudes e intención de los turistas hacia Kashmir podría ayudar al gobierno local y a otras organizaciones de gestión de destinos a trazar acciones futuras.

Drawing upon protection motivation theory and service-dominant-logic, the authors develop a model, which examines the influence of perceived psychological risk and social media involvement (SMI) on customer-brand-engagement (CBE), brand co-creation and behavioral intention during COVID-19 outbreak in the tourism context. The current research also explores the mediating effect of CBE, and moderating role of tourism-based threat/coping appraisal in the proposed associations.

To investigate such issues, the authors deploy a sample of 320 tourism consumers by adopting partial least squares-structural equation modeling or (PLS-SEM).

PLS-SEM findings revealed that SMI positively impacts tourism-CBE. Secondly, results revealed the customer brand engagement's significant-positive effect on brand co-creation and behavioral intent. Third, results showed the social media's and psychological risk's indirect impact on co-creation and behavioral intent, as mediated through customer brand engagement. Fourth, results exposed a significant/negative moderating effect of threat appraisal and significant/positive moderating role of coping appraisal in projected relationships.

Given the study's focus on pandemic-based SMI, CBE and co-creation, the authors contribute to the existing tourism marketing literature, which also generates plentiful avenues for further research, as delineated.

This research facilitates tourism brand managers to better understand the drivers of CBE and paves the way for managers to develop CBE and threat/coping strategies during pandemic.

Despite the increasing understanding of social media, CBE and co-creation in tourism, limited remains identified regarding the association of these, and associated, factors during pandemic, as thereby explored in the current research.

This study aims to examine how the initial ambiguity of COVID-19 contributed to tourists' intentions for visiting a once-viral outbreak site in the future.

The present study (N = 248) used partial least-squares structural equation modeling (PLS-SEM) to examine whether perceptions of ambiguity and mismanagement of COVID-19 are indirectly related to intentions to travel to Wuhan in a post-pandemic world through perceptions of risk and tourism value. Further, whether the model effects differed as a function of individual safety orientation was examined.

Perceptions of COVID-19 risk and tourism value serially mediated the effects of perceived COVID-19 ambiguity on post-pandemic travel intentions. Safety orientation did not moderate any paths. Perceived risk was a negative direct correlate of post-pandemic travel intentions.

The current study's strength is rooted in its specific targeting of post-pandemic travel intentions to Wuhan—the first city to experience a widescale outbreak of COVID-19 and subsequent international stigma—compared to general travel inclinations.

This paper examines the post-COVID-19 travel intentions to Kenya among Hong Kong outbound travelers using the theory of planned behavior (TPB) over three different time horizons of 1, 5, and 10 years.

An extension was made by including two new constructs of perceived destination image and travel constraints. A cross-sectional sample of Hongkongers was surveyed. Data were collected using a self-administrated bilingual (English and Chinese) online survey. Exploratory factor analysis, linear regression and mediation analysis were conducted to test the research model.

The findings from 216 Hongkongers reveal that different combinations of the four constructs, namely, perceived behavioral control, attitude, subjective norms, and destination image, share a positive effect on individuals' travel intention to Kenya over the three different time horizons. Travel constraints act as a significant negative mediator on the four constructs in predicting travel intention to Kenya among Hongkongers.

The results provide useful insight to Kenya's destination marketing organization (DMO) and Hong Kong outbound travel agencies to integrate prominent elements into marketing strategies to arouse travel intention and expand their business prospects, which will also accelerate tourism recovery in the post-pandemic era.

By integrating two extended variables into the TPB model, this study makes a contribution by overcoming the deficiency of the original theory.