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The recent COVID-19 virus outbreak, as well as many other global risks, has put the tourism industry on the brink of collapse. Even if interesting advances have been seen the light of publicity based on risk perception, no less true seems to be that the current theory is not enough to understand and describe the impacts of new global risks that may destroy the industry in question of weeks. This introductory chapter gives a snapshot on the fragile conditions we are moving today and interrogates further the future of tourism.

Since it was adopted from psychology just after the turn of twentieth century, risk perception theory has multiplied and successfully evolved in the fields of tourism research. A dearth of studies has focused on risk perception over the recent decades. We have certainly identified three clear-cut traditions: demographical school, psychological school and critical perspective. With benefits and problems each theory has shed light trying to measure the impact of global risks in the tourism and hospitality industries.

This book keeps the originality to update what has been published in the earlier decades. We are incorporating new topics to the discussion as well as new epistemologies and methodologies. Gathering different high-quality products authored by well-renowned authors coming from different countries, it lays the foundations to a new understanding of risk perception and tourism safety-security debating the next steps and the real challenges posed on the industry in a not so long near future.

This study aims to investigate tourists’ attitudes and intentions regarding the usage of Chat Generative Pre-trained Transformer (ChatGPT) for accessing tourism information. Furthermore, by integrating the perceived risks associated with ChatGPT and the theory of planned behavior (TPB), this research examines the impact of three types of perceived risks, such as privacy risk, accuracy risk and overreliance risk, on tourists’ behavioral intention.

Data were gathered for this study by using two online survey platforms, thus resulting in a sample of 536 respondents. The online survey questionnaire assessed tourists’ perceived risks, attitude, subjective norm, perceived behavioral control, behavioral intention and demographic information related to their usage of ChatGPT.

The structural equation modeling analysis revealed that tourists express concerns about the associated risks of using ChatGPT to search for tourism information, specifically privacy risk, accuracy risk and overreliance risk. It was found that perceived risks significantly influence tourists’ attitude and intention toward the usage of ChatGPT, which is consistent with the hypotheses proposed in previous literature regarding tourists’ perceived risks of ChatGPT.

This work is a preliminary empirical study that assesses tourists’ behavioral intention toward the use of ChatGPT in the field of tourism. Previous research has remained at the hypothetical level, speculating about the impact of ChatGPT on the tourism industry. This study investigates the behavioral intention of tourists who have used ChatGPT to search for travel information. Furthermore, this study provides evidence based on the outcome of this research and offers theoretical foundations for the sustainable development of generative AI in the tourism domain. This study has limitations in that it primarily focused on exploring the risks associated with ChatGPT and did not extensively investigate its range of benefits.

First, to address privacy concerns that pose significant challenges for chatbots various measures, such as data encryption, secure storage and obtaining user consent, are crucial. Second, despite concerns and uncertainties, the introduction of ChatGPT holds promising prospects for the tourism industry. By offering personalized recommendations and enhancing operational efficiency, ChatGPT has the potential to revolutionize travel experiences. Finally, recognizing the potential of ChatGPT in enhancing customer service and operational efficiency is crucial for tourism enterprises.

Recognizing the potential of ChatGPT in enhancing customer service and operational efficiency is crucial for tourism enterprises. As their interest in adopting ChatGPT grows, increased investments and resources will be dedicated to developing and implementing ChatGPT solutions. This enhancement may involve creating customized ChatGPT solutions and actively engaging in training and development programs to empower employees in effectively using ChatGPT’s capabilities. Such initiatives can contribute to improved customer service and overall operations within the tourism industry.

This study integrates TPB with perceived risks in ChatGPT, thus providing empirical evidence. It highlights the importance of considering perceived risks in tourists’ intentions and contributes to the sustainable development of generative AI in tourism. As such, it provides valuable insights for practitioners and policymakers.

本研究旨在调查游客对使用ChatGPT获取旅游信息的态度和意向。此外, 通过将与ChatGPT相关的感知风险与计划行为理论（TPB）相结合, 本研究探讨了三种感知风险（隐私风险、准确性风险和过度依赖风险）对游客行为意向的影响。

本研究通过两个在线调查平台收集了536名受访者的数据。在线调查问卷评估了游客对ChatGPT使用的感知风险、态度、主观规范、感知行为控制、行为意向以及与其使用ChatGPT相关的人口统计信息。

结构方程建模分析显示, 游客对使用ChatGPT搜索旅游信息的相关风险表示关切, 特别是隐私风险、准确性风险和过度依赖风险。发现感知风险显著影响游客对使用ChatGPT的态度和意向, 与先前有关游客对ChatGPT感知风险的文献中提出的假设一致。

本研究将TPB与ChatGPT中的感知风险相结合, 提供了实证证据。它强调了在考虑游客意向时考虑感知风险的重要性, 并为旅游中生成AI的可持续发展提供了贡献。因此, 它为从业者和政策制定者提供了宝贵的见解。

The concept of risk perception in tourism has long been studied and debated, being commonly approached as a multidimensional construct. Physical risk is one of the most common dimensions of perceived risk, covering numerous tourists' concerns. Given the extent of the items included in the physical risk dimension, the study aims to overview this topic, analysing different aggregated risks, presenting a schematic representation based on an extensive literature review that a posteriori was categorized into three groups: human-made, mixed and natural. The aim was to introduce a broader and more precise understanding of the physical risks in tourism.

The tourism industry has been adversely affected by the COVID-19 pandemic. Considering Turkey's global importance in both domestic and foreign tourism, being able to determine consumers' vacation plans and risk perceptions during the COVID-19 pandemic has become more important than ever. This study aims to quantify the effect of COVID-19 on the consumers' perceived risk and behavioral intention in the context of the tourism industry. An online questionnaire was conducted on 234 Turkish participants between July and August 2020. In this study we compare the risk perceptions of consumers who plan to take a vacation and those who do not, in six dimensions regarding the perceived risk of Turkish tourists after the first wave COVID-19 pandemic in order to provide further insight. Therefore, Exploratory Factor analysis (EFA), Confirmatory Factor Analysis (CFA) and t-test analyses were performed. The results revealed that risk perceptions of those who plan their vacation post COVID-19 are lower. Participants who plan to soon go on vacation have lower psychological, equipment and cost, performance, social, and physical risk perceptions regarding the COVID-19 pandemic than those who do not have a vacation plan. These findings aid our understanding how risk perception affects behavioral willingness to travel.

Cultural differences are often important motivators for tourism, but they may also be associated with increased risk perceptions. Different cultures may also perceive risk differently. Despite the importance of this topic for tourism research, few studies have aimed to systematize literature on cultural differences, tourism and risk. Therefore, the main goal of the present chapter is to elaborate a bibliometric analysis of this literature, more specifically, to quantify its sources and clusters of co-citation and terms. To achieve this goal, the publications indexed in Web of Science with the terms cultural differences and tourism (242) are analysed using VOSviewer. A qualitative analysis of the studies which focus specifically on risk is also performed.

West Java, one of the provinces in Indonesia, is trying to develop the coastal tourism sector by applying the eco-tourism concept. The observation results found that there were differences in the concept applied by the local government, namely toward mass tourism. Therefore, one of the strategies proposed is developing tourist areas using a combination of eco-tourism and mass tourism. The increase in the tourism sector in this area will not only help the economic growth of the local community but also contribute to the improvement of the economy of West Java. This study aims to estimate the risks that will occur if the developer uses the mix-use method. The research was conducted by interviewing and distributing questionnaires to the Tourism Office, National Disaster Relief Agency, Business Actors and Communities, and Tourists. The method used is descriptive with quantitative analysis using a risk matrix based on AS/NZS 4360-2004 (Australian-New Zealand Standard). Meanwhile, the qualitative analysis used the interview method and Focus Group Discussion (FGD). The findings in this study are that both quantitative and qualitative analyses can provide input through risk identification and priority. This research also provides theoretical and managerial implications.

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 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 examine the influence of benefits and risks for young women travellers on their intention to visit other night tourism destinations. It also compares any path differences between evening and midnight travels.

A face-to-face survey was conducted in Macau. Multi-group analysis was used to explore the differences between evening and midnight travels.

Emotional and epistemic benefits positively affect behavioural intentions; security risk negatively affects behavioural intentions, but the risk of sexual harassment does not affect behavioural intentions. Evening travellers pay more attention to emotional benefits than midnight travellers.

This study contributes to tourism research related to women by helping to understand the perceptions of the benefits and risks of young women travellers’ night tourism, especially the gender risks. This study corrects the understanding that young women travellers do not feel that the risk of sexual harassment affects their decision to undertake night travels. It also contributes to night tourism research by distinguishing the proportion of benefits and risks in evening and midnight travels.

本研究旨在考察年轻女性旅游者在夜间旅游中的利益和风险感知对其访问其他夜间旅游目的地意向的影响, 比较女性游客上半夜出游和下半夜出游之间的感知差异。

线下问卷调查在澳门进行, 使用多组分析方法探讨女性上半夜出游与下半夜出游的感知差异。

情感和认知的益处对行为意向产生积极影响。虽然安全风险对行为意向会产生负面影响, 但性骚扰风险并不影响行为意向。上半夜旅游者比下半夜旅游者更关注旅行对情感的益处。

本研究让读者了解到年轻女性旅游者对夜间旅游的利益和风险感知因素的看法, 尤其是对性别风险感知的看法, 对女性相关的旅游研究做出了贡献。这项研究改变了以往的认知, 即年轻女性旅游者不觉得性骚扰的风险会影响她们进行夜间旅行的决定。它还通过区分上半夜出游和下半夜出游的利益和风险比较, 为夜间旅游研究做出了贡献。

Este estudio pretende examinar la influencia de los beneficios y riesgos que tiene, para las jóvenes viajeras, su intención de visitar otros destinos de turismo nocturno. Asimismo, se compara las diferencias de trayectoria entre los viajes nocturnos y los de medianoche.

Se realizó una encuesta personal en Macao. Se utilizó un análisis multigrupo para explorar las diferencias entre los viajes nocturnos y los de medianoche.

Los beneficios emocionales y epistémicos afectan positivamente las intenciones de comportamiento, el riesgo de seguridad afecta negativamente las intenciones de comportamiento, pero el riesgo de acoso sexual no influye en las intenciones de comportamiento. Los viajeros nocturnos prestan más atención a los beneficios emocionales que en los viajes a medianoche.

Este estudio contribuye a la investigación sobre el turismo relacionado con las mujeres al ayudarnos a comprender las percepciones de los beneficios y riesgos del turismo nocturno de las jóvenes viajeras, especialmente los riesgos de género. Este estudio corrige nuestra idea de que las jóvenes viajeras no creen que el riesgo de acoso sexual afecte a su decisión de emprender viajes nocturnos. También contribuye a la investigación del turismo nocturno al distinguir la proporción de beneficios y riesgos en los viajes nocturnos y de medianoche.

In this study, visitors' attitudes and behavioural intentions towards camping/glamping tourism in Turkey during the pandemic were investigated using the extended theory of planned behaviour (TPB). The model has been extended to include constructs such as risk perception and risk aversion attitudes that stem from COVID-19 to predict visitors' attitudes and behavioural intentions.

The data were collected through an online questionnaire from 432 participants who have experience and interest in camping/glamping tourism in Turkey. The responses were analysed using the structural equation modelling (SEM).

The findings show that besides the basic TPB structures, other added variables also significantly affect visitors' attitudes and intentions. Moreover, it has been observed that the risk perception and risk aversion attitude derived from COVID-19 increase negative emotions in visitors and decreased behavioural intentions.

The results of the study are discussed for future research as well as its academic and practical implications.

This theoretical expansion is thought to increase the theory's predictive power in predicting visitors' behaviour during the pandemic.