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The paper aims to reveal the intellectual structure of studies on artificial intelligence (AI) in the fields of tourism and hospitality. Evaluations regarding the intellectual structure have been made based on co-author, co-word and citation.

The study is exploratory in nature. The study, using bibliometric analysis, provides a Web of Sciences (WOS) overview. The data has been obtained from the WOS database by coding as “artificial intelligence” and “tourism” and “hospitality.” VOSviewer program has been used to obtain and analyze the data.

The findings of the research show that studies on the use of AI in tourism and hospitality have become very popular, especially in the last 4 years. The authors of the study are working in the tourism and hospitality fields and have a high h-index. Generally, in current AI studies in tourism, topics such as robot, automation, ChatGPT, technology adoption and mechanical learning are studied. It has also been determined that topics related to the future of destinations and literature reviews are also discussed.

Although this paper examines all studies identified as a result of filtering, the analysis is limited to 195 studies. However, due to the widespread use of AI in tourism-related studies recently, bibliometric analysis has been made with extensive filtering. As studies on the subject become more widespread in the coming years, it would be useful to repeat similar studies by filtering with more specific quotas.

There are a few similar studies on the subject in the field. However, these studies need to be repeated at certain periods. This paper contributes to monitoring the literature of AI studies, which are new to use in tourism and hospitality, and to the formation of a theoretical framework on the subject.

Since the first moment of the pandemic, national and international travel restrictions are in place to reduce human mobility. This actual situation makes the tourism industry one of the areas most affected by the pandemic. Many microeconomic factors (households and firms) were adversely affected by the pandemic, and this situation brought about macroeconomic contraction. Naturally, governments seek to sustain production and employment by offering financial packages to reduce the negative economic effects of the pandemic. Given such information, the study aims to examine the financial policies implemented by countries to support the tourism industry during the pandemic period.

Content analysis, which is a technique of qualitative research method, was applied in the analysis process of the data. Assessments were made based on data published by the United Nations World Tourism Organization (UNWTO) on the financial and monetary policies implemented by countries to support the tourism industry. The data were analyzed using the MAXQDA qualitative analysis program.

According to the results of the study, countries support the tourism industry financially in terms of credit and liquidity. Also, tourism investments are encouraged by tax breaks and low interest rates.

It is aimed to determine what issues the financial and monetary policies published by the UNWTO focus on to solve the problems in the tourism sector. In this way, it is thought that the study will reveal the problems experienced by tourism enterprises during the pandemic period with a holistic perspective.

This study aims to investigate the effect of tourists' anxiety levels regarding pandemic on their intention to travel and intention to destination visit as a reflection of risk perception.

This study employed a quantitative research design. Multivariate statistical methods were used because they predict cause and effect relationships. The data collection process was completed in 32 days between March 20 and April 20, 2020. Smart-PLS software was used for data analysis.

According to the study results, the level of concern tourists have about the COVID-19 outbreak directly affected their intention to travel and indirectly affected their intention to visit destinations.

According to the results of the study, people's anxiety levels about COVID-19 will negatively affect their travel behavior after the pandemic. Such results suggest that when potential travelers' pandemic-induced anxiety levels increase, their travel intention after the pandemic will decrease. In addition, there is a positive relationship between people's intention to travel and post-COVID-19 touristic visit intentions. Therefore, as people's travel intentions increase, so do their destination visit intentions. Another important theoretical implication of this research is that people's pandemic-induced anxiety levels have been shown to negatively affect their destination visit intention through the mediating variable of travel intention.

A multidimensional and stakeholder engagement process needs to be followed to decrease the influences of the pandemic on destinations. Destination management organizations (DMOs) can take an active role in crisis periods to encourage stakeholder participation while attracting tourism demand in the post-COVID-19 era.

This study is important for its topical relevance and for providing specific theoretical and practical implications concerning tourists' travel behavior.

This study examines the relationship of COVID-19 with the tourism industry in the context of news coverage. More specifically, this study analyzes the relationship between COVID-19 and subsectors of tourism throughout different periods of the pandemic.

Qualitative research techniques were applied, and content analysis used, to analyze the collected data. The news contents obtained cover two one-week periods: March 5–12, 2020, and April 5–12, 2020. The content analysis method and MAXQDA program were used to analyze the data.

The research findings reveal that tourism and news related to COVID-19 were heavily connected with the travel industry during March 5–12, 2020, with concentrations slightly favoring the hospitality industry. In the period of April 5–12, 2020, the strong relationship between tourism and travel continued. During the latter period, the hospitality and the events industries were both subjects of relevant news.

This study examined the news during a short period of time. In addition, the sample of the study does not represent all news in all media. Examining different media outlets and different news cycles may produce different results.

This is one of the first studies to examine the relationship between the pandemic and the tourism industry from a macro perspective in the context of news coverage. The study provides implications for policy-makers, tourism planners and industry.

The COVID-19 pandemic, which appeared in China in late 2019, has affected the world psychologically, socially and economically in 2020. Tourism is one of the areas where the effects of COVID-19 have been felt most clearly. The study aims to determine the effect of negative problem orientation (NPO) and perceived risk related to the COVID-19 pandemic on travel and destination visit intention.

This study employed a convenience and probabilistic sampling method for collecting data from 531 respondents using an online questionnaire. Partial least square structural equation modeling (PLS-SEM) was used for testing research model.

According to the findings, NPO and perceived risk related to the pandemic were found to have direct and indirect effects on the travel behavior of tourists. The results of this research provide theoretical and practical implications for hospitality and travel businesses on topics such as the psychological effects of the pandemic and the travel behaviors of tourists.

It is estimated that the pandemic will also affect tourist behavior due to its effects on human psychology. For this reason, a study conducted in the context of tourist behavior theories is expected to contribute to the literature, managers and future of the tourism.