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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.

This paper aims to examine travelers’ behavioral intention of traveling in the period of coronavirus by using the theory of planned behavior. The framework incorporates attitude, subjective norms, perceived behavioral control and a very crucial construct, i.e. perceived risk, as per the current critical scenario of COVID-19.

Data was collected using a survey instrument on the internet by posting the questionnaire link over social network web pages of online traveling websites. The data was analyzed using structural equations modeling with AMOS 22.0 and SPSS software and the proposed hypotheses were statistically tested. The sample under consideration constitutes 417 responses.

Empirical findings suggest that attitude, perceived behavioral control and perceived risk are significant for predicting behavioral intention while subjective norms do not. Then, these variables explained about 35% of the variance in the behavioral intention of traveling in the period of coronavirus.

This study can benefit travelers, the tourism and hospitality industry, governments, the aviation industry and other relevant organizations as this paper offers the latest updates and essential information regarding traveler’s intention of traveling in the period of coronavirus. The study mainly focuses on India, so the generalizations of results to other countries are unwanted.

The primary value of this paper is that it tested the theory of planned behavior by incorporating perceived risk in the context of COVID-19. To the best of the authors’ knowledge, in the Indian context, there is no study, which has tested the TPB by adding perceived risk in explaining the Indian citizens’ behavioral intention of traveling in the period of Coronavirus.

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 aims to analyse what drives and limits the Dutch population during COVID-19 in their intention to travel for leisure once travel restrictions have been lifted, to gain an insight in the psychological travel barriers following a period of crisis.

The research process involved an online self-administrated method created with one of the leading research and web-based survey tools called Qualtrics. The questionnaire was filled by 402 respondents.

The findings indicate that the impact of COVID-19 on cutting down travel plans, certain personal values and structural constraints have a positive relationship with the leisure travel intention to various destinations. Moreover, risk perceptions and intrapersonal constraints have a positive relationship with domestic leisure travel intentions. However, these factors have a negative connection with the leisure travel intention to some international destinations. Further, decreased perceptions of risks have a negative relationship with the domestic leisure travel intentions.

Using questionnaires in the form of online, self-administrated surveys made it impossible to get an insight in and have control over who responded to the questionnaire. Gaining an insight into the factors impacting the leisure travel intentions following a period of crisis will make it possible for the tourism industry to respond adequately to future crises and will make it easier for destination marketers and managers to attract new tourists during the recovery process.

To the best of the author’s knowledge, no analysis has been so far published with a focus on the impact of COVID-19 on the Dutch population and their intention to travel. It is crucial for gaining an insight into leisure travel intention and the factors impacting this intention following a period of crisis since travel intention is an under-researched topic of academic tourism literature. This study closes the existing gap in literature.

This study aims to investigate the impacts of travel motivations, time perspective and city image that affect travelers’ intention to visit city tourism.

The data in this study was collected through a structured questionnaire survey conducted in three big cities in the North of Vietnam (Hanoi, Hai Phong and Ha Long). The data set consists of 625 valid responses by Vietnamese tourists. Correlation analysis and structural equation modeling were used to test the causal relationships among time perspective, city image, travel motivations and tourist intention. Confirmatory factor analysis is conducted to verify the reliability and validity of each latent construct and to evaluate the discriminant validity, convergent validity, composition reliability and average variance extracted for the latent constructs.

This study finds that tourists’ travel motivations, time perspective and city image are significantly and positively associated with their intention to visit city tourism. This study also reports that tourists’ time perspective and city image are significantly and positively related to their travel motivation which is in turn significantly and positively correlated to their intention to engage in city tourism.

City tourism providers need to seek for understanding travel motivations of potential customers. City tourism products should be promoted to people who want to travel for knowledge enhancement, seeking, self-fulfillment, socializing and escape. Tourism businesses and marketers focus more on developing the overall image of city. They should have city slogan and have strategy to establish the city branding to evoke or remind the customers to come in. Since the Corona (COVID-19) pandemic impact on every nation around the world, the artificial intelligence has to be taken on city tourism to minimize the negative influence of this pandemic.

This study reveals three key determinants of tourists’ intention including travel motivations, city image and time perspective, which have unclear study in the city tourism literature. This study also explains the role of travel motivations in mediating the impacts of their time perspective and city image on their intention to visit city tourism. Improving the city image is important to attract tourists who want to engage in city tourism for knowledge enhancement, seeking, self-fulfillment, socializing or escape. Tourism providers need to have a strategy for establishing the city branding to evoke or remind the customers to come in. The time perspective should be paid more attention to tourists who want to travel to city tourism for knowledge enhancement, seeking, self-fulfillment, socializing or escape.

Research on the relationship between novelty and travel intention is lacking. This study attempts to fill this gap by developing a theoretical model to explain how novelty influences travel intention through two mediating paths: brand equity and tourist motivation.

In this study, data were collected from 466 foreign visitors to Taiwanese night markets. To test the model, the authors applied structural equation modeling (SEM) to identify the critical attributes that predicted foreign tourists' travel intentions.

The SEM analysis indicated that novelty in tourism management was related to brand equity and intrinsic motivation, which increased foreign tourists' travel intentions and offered advantages for highly competitive, high-density night markets in Taiwan. In addition, brand equity was an important mediator that connected novelty and tourists' travel intentions. Finally, novelty indirectly affected travel intention and intrinsic motivation through brand equity.

There may exist potential moderators in the relationships among the brand equity and travel intention categories. Future research studies could explore whether any moderators influence the relationship mechanisms examined in this study.

This research expands on previous research studies that have focused on the value of travel intention. Furthermore, the study uses brand equity theory (BET) and the theory of planned behavior (TPB) to examine the mediating effect of intrinsic motivation on the relationship between novelty and travel intention.

This study aims to investigate the effect of virtual reality experience quality on destination visit intention and virtual reality travel intention through the technology acceptance model (TAM).

Quantitative data gathered from questionnaires applied to 198 people after undertaking an imaginary three-dimensional (3D) destination experience were analyzed with PLS-SEM.

Virtual reality experience quality influences perceptions and intentions. The perceived ease of use affects perceived usefulness, perceived usefulness effects attitude and destination visit intention, while perceived risk affects only virtual reality travel intention. Attitude affects both intentions.

The main limitation of the study relates to the quality of the experience offered, which is limited to the technical capacity of the virtual reality glasses used. Virtual reality can be used as a new economic offering and create a realistic destination experience. Virtual reality experience quality is an important determinant of intention in physical and imaginary travels, in shaping perceptions and minimizing travel risks. The explanatory power of the model can be increased by adding the perceived risk variable to TAM. The study has brought new perspectives, new insights and suggestions for developing tourism.

In the study, a 3D imaginary destination with its mise-en-scène and story, which includes more than one destination type, was designed. This study contributes to the literature by analyzing real and virtual visit intentions, combining the fields of the experience economy, risk perception and TAM.

本研究通过应用技术接受模型, 探讨虚拟现实体验质量对目的地参访意愿和虚拟现实旅游意愿的影响。旨在识别这些变量之间存在的关系, 并解释这些关系的因果链接。

本研究从198名参与虚拟三维目的地体验后填写的问卷中获得定量数据并通过PLS-SEM方法进行分析。

虚拟现实体验的质量影响用户的感知和意愿。虚拟现实旅游意愿仅受感知风险的影响。感知易用性影响感知有用性。意愿受态度影响, 但感知有用性不影响虚拟现实旅游。

本研究的主要局限性与提供的体验质量有关, 该质量受到虚拟现实眼镜技术能力的限制。虚拟现实可以作为一种新的经济提供方式进行开发。通过将感知风险变量添加到技术接受模型中, 可以增加模型的解释力。本研究为旅游业的发展提供了新的视角、见解和建议, 并解释了虚拟现实提供的真实目的地体。

为了研究的目的, 本研究设计了一个虚拟的三维目的地, 包含多个目的地类型。该目的地有自己的布景和故事情节。本研究通过分析真实和虚拟参访意愿的领域, 将体验经济、风险感知和技术接受模型领域相结合, 为文献做出了贡献。

This study aims to examine the public’s acceptance of film-induced tourism and develops the relationship among placement marketing, involvement, place attachment and travel intention. The film Your Love Song shot in the Hualien and Taitung regions in Taiwan was selected as the case study.

An online sample survey was conducted using a structured questionnaire, and statistical tests and overall structural equation modeling analysis using the SPSS and AMOS statistical software packages, respectively, were performed.

This study results demonstrate that destination placement marketing has a significant positive effect on the level of destination involvement, place attachment and travel intention of viewers. Moreover, the level of involvement has some intermediary effect on the interrelationship between placement marketing and travel intention. Hence, this study suggests that relevant government agencies and tourism operators should promote local tourism through films and television shows and attract more tourists by retaining the original shooting scenes.

While previous studies have only analyzed two or three of the four concepts of film-induced tourism, placement marketing, travel intention, involvement and place attachment, this study completely integrates these four concepts and proves the correlation between them.

This study investigates the moderating effect of eco-destination image on the relationships between travel motivations and ecotourism intention.

The study employs the convenience sampling method to develop a research sample, and the multivariate data analysis method to analyse the data of 435 valid observations collected in the structured questionnaire survey conducted in Vietnam.

The paper reports that the eco-destination image significantly strengthens the effects of four travel motives (i.e. excitement, escape, knowledge-seeking and self-development) on ecotourism intention. However, the moderating impact of eco-destination image on the link between socialising motive and ecotourism intention is insignificant.

This study is the first to shed light on the role of eco-destination image in strengthening the effects of travel motivations on ecotourism demand. The study provides a framework for segmenting promotion materials associated with destination image based on different types of customers' internal travel motivations. The framework includes four dimensions: (1) destination image reflecting enablers of excitement, (2) destination image reflecting enablers of escaping from daily life routine, (3) destination image reflecting enablers of knowledge-seeking and (4) destination image reflecting enablers of personal development.

This study proposes an extension of the theory of planned behaviour (TPB) model to understand international travellers' intentions to visit Spain. This study aims to compare whether the predictive variables of the intention to travel differ depending on nationality. The extension includes: perceived risk, loyalty to the destination, past travel experience, public opinion climate and electronic word-of-mouth (eWOM).

A multiple-indicator, multiple-cause (MIMIC) model was developed as a structural equational model to predict the 1,978 participants' intention to travel. The structural model was used to determine the theoretical model for the total sample and by nationality (Germans, Britons and those from other European countries).

The extended models fitted the data well, explaining 64%–68% of the total variance, while differences depending on tourist nationality were also found. The MIMIC model indicated that German people's intention to travel to a holiday destination was influenced by their perception of risk, eWOM and loyalty to the country. In the British group, only the TPB variables were relevant. For those of other European nationalities, loyalty and eWOM were also significant. Travel experience, used as a variable in previous studies, was shown not to be significant. Overall, these results offer insights into how people from diverse countries and cultures embrace the aforementioned constructs when making travel decisions.

This study also has practical implications for policymakers in holiday tourism destinations, such as Spain. In particular, this study provides a better understanding of Britons' and Germans' travel intentions and could be beneficial for guiding policies for the recovery of the tourism industry in major tourism destinations.

Previous studies have applied various extended TPBs to one specific country or made comparisons between Asian countries. This study’s proposal makes a comparison of the variables used to predict the intention to visit a holiday destination among the European countries.

本研究提出了计划行为理论 (TPB) 模型的扩展, 以了解国际旅行者访问西班牙的意图。目的是比较旅行意图的预测变量是否因国籍而异。扩展包括：感知风险、对目的地的忠诚度、过去的旅行经历、舆论氛围和电子口碑（eWOM）。

开发了一个多指标、多原因 (MIMIC) 模型作为结构方程模型来预测 1,978 名参与者的旅行意图。结构模型用于确定总样本和国籍（德国人、英国人和来自其他欧洲国家的人）的理论模型。

扩展模型很好地拟合了数据, 解释了总方差的 64%–68%, 同时还发现了取决于旅游国籍的差异。 MIMIC 模型表明, 德国人前往度假目的地的意愿受到他们对风险、eWOM 和对国家忠诚度的认知的影响。在英国组中, 只有 TPB 变量是相关的。对于其他欧洲国家的人来说, 忠诚度和 eWOM 也很重要。旅行经验, 在以前的研究中用作变量, 被证明并不重要。总体而言, 这些结果提供了有关来自不同国家和文化的人们在做出旅行决定时如何接受上述结构的见解。

以前的研究已经将各种扩展的 TPB 应用于一个特定的国家或在亚洲国家之间进行了比较。我们的建议对用于预测欧洲国家旅游目的地意图的变量进行了比较。

Este estudio propone una extensión del modelo de la teoría del comportamiento planificado (TPB) para comprender las intenciones de visitar España de los viajeros internacionales. El objetivo es comparar si las variables que predicen la intención de viajar difieren según la nacionalidad. Esta extensión del modelo incluye variables como: riesgo percibido, lealtad al destino, experiencia de viaje anterior, clima de la opinión pública y el boca a boca electrónico (eWOM).

Se desarrolló un modelo de indicadores y causas múltiples (MIMIC) como modelo de ecuaciones estructurales para predecir la intención de viajar de los 1978 participantes. El modelo estructural se utilizó para comprobar el modelo teórico para la muestra total y por nacionalidades (alemanes, británicos y otros países europeos).

Los modelos ampliados propuestos se ajustaron bien a los datos, explicando entre el 64% y el 68% de la varianza total, si bien se encontraron diferencias en función de la nacionalidad del turista. El modelo MIMIC indicó que la intención de los alemanes de viajar a un destino de vacaciones estaba influenciada por su percepción de riesgo, el eWOM y la lealtad a España. En el grupo británico, solo las variables TPB resultaron relevantes. Para el grupo de otras nacionalidades europeas, la lealtad y el eWOM también fueron significativas. Sin embargo, la experiencia de viaje, utilizada en estudios previos, se mostró no significativa en todos los grupos. En general, estos resultados ofrecen información sobre cómo las personas de diversos países y culturas adoptan los constructos antes mencionados cuando toman decisiones de viaje.

Estudios previos han aplicado varios TPB extendidos a un país específico o han comparado los resultados entre países asiáticos. Nuestra propuesta hace una comparación de las variables utilizadas para predecir la intención de visitar un destino vacacional entre países europeos.