Topics and destinations in comments on YouTube tourism videos during the Covid-19 pandemic.

This study examines the comments posted on tourism-related YouTube videos during the Covid-19 pandemic to establish sustainable development strategies in destinations. Its objectives were: (i) to identify the topics of discussion, (ii) to establish the perceptions of tourism in a pandemic crisis, and (iii) to identify the destinations mentioned. The data was collected between January and May 2020. 39,225 comments were extracted in different languages and globally through the YouTube API. The data processing was carried out using the word association technique. The results show that the most discussed topics were: "people," "country," "tourist," "place," "tourism," "see," "visit," "travel," "covid-19," "life," and "live," which are the focus of the comments made on the perceptions found and represent the attraction factors shown by the videos and the emotions perceived in the comments. The findings show that users' perceptions are related to risks since the "Covid-19" pandemic is associated with the impact on tourism, people, destinations, and affected countries. The destinations in the comments were: India, Nepal, China, Kerala, France, Thailand, and Europe. The research has theoretical implications concerning tourists' perceptions of destinations since new perceptions associated with destinations during the pandemic are shown. Such concerns involve tourist safety and work at the destinations. This research has practical implications since, during the pandemic, companies can develop prevention plans. Also, governments could implement sustainable development plans that contain measures so that tourists can make their trips during a pandemic.

The risks perceived by the consumer in the acceptance of electronic commerce. A study of Bolivia.

The risks perceived by consumers in online shopping can negatively affect the acceptance of electronic commerce, however, the perceived risks are a cultural aspect that can affect consumers differently in different countries. This research examines what dimensions of perceived risk affect the acceptance of electronic commerce in Bolivia, a developing country. The design is quantitative, the TAM model is used with the variables: risk of misuse of information, risk of not obtaining the benefits of the product and risk of inefficiency of the functionality. The results show that the three risks examined do not affect the acceptance of electronic commerce, and that the variables perceived usefulness and ease of use have a positive effect on the acceptance of electronic commerce. The theoretical implications of this study provide empirical evidence from Bolivia, which shows strong variables of perceived usefulness and ease of use, which mitigates the effect of risk´s perception by the consumer, the results are explained in the context of the COVID-19 pandemic that accelerated the rapid acceptance of electronic commerce, increasing the perception of usefulness and ease of use of online shopping. As practical implications, this research provides managers and administrators of online businesses with knowledge about the effect of risk variables perceived by consumers.

Perception study of state support programs for companies, in Talca, Chile in times of Covid 19.

This work identifies the factors that influence the perception of company managers regarding the state support programs carried out in times of Covid19. A questionnaire was applied to a sample of company executives from the city of Talca, Chile. Descriptive, exploratory factor analysis and structural modeling ratified by the relevant goodness of fit indices were carried out. The results confirm the existence of three factors that affect the perception of managers that include 12 significant items. It is concluded that the investment factor acts as an independent dimension in the model, the classification factor of the companies acts as a mediator and finally the competitiveness factor turns out to be the dependent dimension of the model.

Motivations and Loyalty of the Demand for Adventure Tourism as Sustainable Travel

Adventure tourism as a form of sustainable tourism is a potential source of social, economic, and environmental development, and the more the tourism industry is exploited in a responsible manner, the greater the development of a country. The present research proposes the following objectives: (i) to identify the motivational dimensions of demand in an adventure destination, and (ii) to determine the motivational dimensions of demand that predict the return, recommendation, and saying positive things of the adventure destination as loyalty variables. The study was carried out during the COVID-19 pandemic in Guayaquil, and the participants had visited the province of Santa Elena in Ecuador, an adventure tourism destination. This quantitative study used a sample of 318 valid questionnaires that were collected online and analyzed using factor analysis and the multiple regression enter method. The results show five motivational dimensions in adventure tourism: learning, social, biosecurity, relaxation, and competence mastery. The relaxation dimension is the most important and most influential predictor in return, recommendation, and saying positive things about the demand for adventure tourism. The results will contribute as management guides for DMOs and as sources of information for companies involved in the marketing and development of post-pandemic products. The study is also a contribution to the academic literature on adventure destinations.

The Determining Factors of Attractiveness in Urban Tourism: A Study in Mexico City, Buenos Aires, Bogota, and Lima

This research aims to examine the tourist recognition of the different attractions of the four most populous Spanish-speaking cities in Latin America: Mexico City, Buenos Aires, Bogotá, and Lima, and determine the factors that group these attractions and evaluate their degree of importance. Factor analysis technique was used to reduce the perceptions into relevant factors. The methodology used is quantitative, transversal, and non-experimental. The results indicate that the tourist attraction of a city has four main factors: the nucleus, the tourism ecosystem, Meetings, Incentives, Conventions and Exhibitions/Events (MICE) and shows, and the related services. The research has theoretical implications because it determines that tourists perceive attractions at four levels in these Latin American cities, each of which is made up of tourist attractions different from those mentioned in the literature. The research has practical implications, since officials and those responsible for tourism in Latin American cities can improve their plans by considering the factors of tourist attraction that generate a greater influx of tourists in the cities examined.

Post-COVID-19 Tourists' Preferences, Attitudes and Travel Expectations: A Study in Guayaquil, Ecuador.

Expectations about a destination influence the tourist experience during the travel process stages. In the post-COVID-19 normalcy, people are adjusting their priorities and social values. Therefore, it becomes crucial to identify tourists' expectations before traveling. The objectives of this research were: (a) identify the preferences of tourists; (b) establish the attitudes of tourists; and (c) determine the expectations of tourists for post-COVID-19 destination selection. The study analyzed a sample of 491 people during pandemic lockdowns in Guayaquil, Ecuador. Statistical techniques such as exploratory and confirmatory factor analysis were used in data analysis. The results show that after the pandemic, tourists prefer urban tourism, followed by cultural tourism and traveling with relatives. It also shows a more responsible and supportive attitude when traveling. Likewise, the results support the dimensional structure that explains a set of post-pandemic tourist expectations. Five factors were identified: Smart Care, pricing strategy, safety, comfort, and social distancing. Finally, the theoretical and managerial implications of the results that will guide for tourism destination managers were discussed.

Topic and sentiment analysis of crisis communications about the COVID-19 pandemic in Twitter’s tourism hashtags

The purpose of this paper was to assess Twitter as a means of communication during tourism crises with the following objectives: (a) identify the topics that are discussed, (b) establish the text sentiment, and (c) determine the differences in gender regarding the topics under discussion and the text sentiment. The data were collected from Twitter between March and April 2020. Using big data software, this study extracted 123,868 tweets globally in different languages through the Twitter API of popular tourism hashtags. Two techniques were applied: word association and sentiment analysis. The results show that the communication made through Tweets has the characteristics of a crisis communication related to the effects of the COVID-19 pandemic in the tourism industry. The theoretical contribution of the research is that Twitter in social media is an effective means of communication during pandemic crises and contributes to reducing negative perceptions and adverse effects of the tourism crises in companies and destinations. The practical contribution of the research is that Twitter can be used as a means of communication helping the communication strategies of companies and organizations.

Coastal Cities Seen from Loyalty and Their Tourist Motivations: A Study in Lima, Peru

The objective of this empirical study is to determine: (a) the underlying variables of the travel motivations related to a coastal city;and (b) the motivational dimensions that predict return, recommendation, and saying positive things about a coastal city as loyalty variables. This project utilized an in situ investigation carried out in Lima, a coastal city located on the Pacific Ocean near Peru with important natural and cultural attractions. The researchers used 381 questionnaires that were analyzed through factor analysis, in addition to the stepwise multiple regression method. Reesults identified six underlying variables or motivational factors: “culture and nature”, “authentic coastal experience”, “novelty and social interaction”, “learning”, “sun and beach”, and “nightlife”. Regarding loyalty, the “novelty and social interaction” dimension is the most important predictor of return and the “authentic coastal experience” dimension is the most important predictor of recommending and saying positive things about a coastal city. To motivate a return, events could be created on the beach to motivate novelty, as well as increase recommendations and the amount of positive things said about the destination;educational and sports activities and workshops could also be created with the community and the coastal environment. Results can be used by firms for preparing information for new customers in order to increase trip intention and improve guides for destination marketing organizations (DMOs).

Coastal and marine topics and destinations during the COVID-19 pandemic in Twitter's tourism hashtags

Coastal and marine tourism offer various topics discussed within social media communication during a pandemic. The present study analysed the discussion topics in the popular Twitter's tourism hashtags during the COVID-19 crisis related to coastal and marine tourism. The objectives were to (i) determine the discussion topics, (ii) identify the discussion topics of greater hierarchy, and (iii) determine the tourist destinations discussed. The data were collected from Twitter between March and April 2020. A total of 269,722 tweets were extracted in different languages and globally through the Twitter API of popular tourism hashtags about the COVID-19 pandemic using big data software. The word associations technique was used to process the Twitter data. The discussion topics were ?travel?, ?beach?, ?cruise?, ?sea?, ?ocean?, ?nature?, ?sun?, ?coast?, and others. The discussion topics of greatest hierarchy were ?travel?, ?beach?, ?sea?, and ?cruise?. These topics refer to the motivational dimensions? ?escape?, and ?sun and beach?. The geographic locations discussed were Spain, Canary, Hawaii, Australia, Caribbean, Bermuda, Florida, California, and others. The findings will contribute to the relationship of the topics with the tourist motivational dimensions, and the destinations discussed about marine and coastal tourism in the time of crisis in the COVID-2019 Pandemic in Twitter's tourism hashtags, and companies will also be able to improve their communication strategies and develop post-pandemic products.