Tourism Management Department Research Articles

Integrating Storynomics into Language Education to Enhance Speaking Skills of Tourism Students in Bali, Indonesia

Speaking is a highly prioritized skill in English language learning, particularly in tourism. Storynomics is an approach in tourism that emphasizes storytelling, creative content, and living culture, utilizing culture's power as a destination's fundamental essence. This study aims to examine how the storynomics strategy can promote the’ speaking competence of tourism students in Bali. The study employed Research and Development (R&D) with an Exploratory Mixed Method design. Quasi-experimental research was applied to determine the effectiveness of the material design for students in the Tourism Management Department. The students were divided into two groups of 30 students in each group. The data were obtained through pretest and posttest speaking tests after the treatment was given. The result of the test indicated there is a significant difference between the two groups. The experimental group taught the storynomics strategy throughout the study to promote speaking ability, while the control group continued with conventional methods. At the end of treatment, a posttest was conducted in two groups, and the test results were compared. Statistical analysis showed that the experimental group obtained a higher average score in the posttest with an N-gain score of 0.58. These findings emphasize the positive impact of implementing a storynomics strategy in learning English as a foreign language, especially for describing local culture. It is expected that further development can be made in designing other teaching materials using a cultural approach and more diverse communication strategies with other theories or approaches. In addition, a deeper analysis is needed regarding the linguistic aspects of English language learning in the field of tour guiding.

Design Study of Characteristic Scuba Diving Tourism in Sanya, Hainan Province

In recent years, with the development of diving tourism, the diving tourism industry in Sanya, Hainan Province, China has rapidly emerged. The tourism management department has been promoting and advertising this unique tourism feature, making diving tourism one of the major attractions that bring in more and more domestic and foreign tourists. We have noticed that there is great potential and room for the development of diving tourism in Sanya, Hainan Province, but there are also problems with tourist safety, marketing strategies, and poor management. To promote the development of diving tourism in Sanya, Hainan Province, we suggest the following: First, strengthen the measures to ensure the safety of tourists, including improving the quality of diving tourism services, strengthening the construction of management systems, and enhancing tourist safety measures to improve their sense of security. Secondly, optimize the marketing strategies to increase the awareness and competitiveness of diving tourism products. Thirdly, strengthen management and regulatory measures, perfect management systems, and standardize market order. Fourthly, establish a comprehensive diving tourism plan, design diving routes, and enhance the quality of diving facilities and services. Based on these suggestions, we can enhance the development of diving tourism in Sanya, Hainan Province, increase its economic and social benefits, and raise its level of development significantly.

STUDENT PRACTICUM PROGRAM: THE WORK EXPERIENCES OF TOURISM ALUMNI IN DLSU-D

An internship or Student Practicum is a program offered in universities that gives students an opportunity to experience the professional environment of their chosen fields. The researchers identified the demographic profile, benefits, and satisfactory levels of alumni in De La Salle University-Dasmariñas under the Tourism Management Department who underwent their practicum abroad. To fill in the gaps, this research study investigated the program's areas for improvement and the issues the respondents ran into throughout their practicum. This will provide the DLSU-D institution with a framework for how to manage students who will participate in practicum programs. The research design used in this study is a descriptive survey because this research design combines quantitative and qualitative data. Descriptive statistics such as means and standard deviation were used to determine the satisfaction level in the Practicum Program. The survey conducted by the researchers found that the practicum program has advantages for employability, knowledge, and skill development, the respondents were generally happy with the practicum program's learning outcomes and working conditions, and the respondents said there were several issues with the practicum program. The perceived problems were not significant enough to negatively impact their overall experience with the program.

The Influence of Chinese Yunnan Tour Guides’ Emotional Labor on Psychological Capital—the Mediating Role of Emotional Intelligence

Background and Aim: This study aims to investigate the influence mechanism of tour guides' Emotional labor on psychological capital, understand the detailed influence of different Emotional labor strategies on psychological capital, and use emotional intelligence as the Mesomeric effect on its mechanism, providing reference value for tourism management departments and human resources departments, and urging enterprises to strengthen the training of tour guides' Emotional labor, Improve the satisfaction of tour guides, enhance their psychological capital, win the favor and satisfaction of customers, provide theoretical support for enterprises and customers to achieve mutual benefit and win-win situation, and provide feasible suggestions and strategies. Materials and Methods: A total of more than 500 questionnaires were sent this time, and a total of 452 questionnaires were collected. Finally, 420 questionnaires were selected after screening, and the questionnaire efficiency reached 84%. Results: The results found that there is a significant relationship between emotional labor and the psychological capital of Yunnan tour guides, and emotional intelligence plays an intermediary role. Conclusion: This study concludes that Yunnan tour guides need to further strengthen their emotional intelligence and psychological capital, in a new round of tourism peak, to welcome the arrival of tourists from all over the world with a new attitude.

Analysis of High-Quality Tourism Destinations Based on Spatiotemporal Big Data—A Case Study of Urumqi

Although high-quality tourism destinations directly determine the tourism experiences of tourists and the management focuses of tourism management departments, existing studies have paid little attention to the relationship between tourism destinations of differing quality and tourist experiences. This study analyzed the spatiotemporal distribution of tourists and the quality of tourism destinations in Urumqi based on Tencent migration big data and Weibo sign-in big data and ultimately determined whether there are spatial correlations between the two. The results show that there are large differences in quality between different tourist destinations, and although the spatial and temporal distribution of tourists is not strongly correlated with the quality of tourist destinations, we can divide tourist destinations into four categories based on the correlations between the two (e.g., high-quality tourist destinations with a low number of tourists). The results of this study provide tourists with examples of high-quality tourist destinations, thus improving their holiday experiences, and they also provide a basis by which tourism management departments can manage and develop tourist destinations. The results of this study can also be extended to other regions and play a positive role in promoting the development of the tourism industry.

Antecedents of entrepreneurial intention: A study on students from the tourism management department

Undoubtedly, deciding to enter the business world is a challenging decision that is influenced by several factors. Some of them are cultural since they deal with widespread beliefs about entrepreneurial activity in a community at a certain time. Other factors are related to the entrepreneur’s personal characteristics. As young people in Greece are interested in starting their own businesses they interact with their peers around the world, mainly in Europe, for exchanging ideas, information and good practices, despite the cultural differences between the North and the South of Europe. This paper will address the issue of shaping an entrepreneur in Greece and the role of factors such as entrepreneurship education, personal characteristics, and social norms in his/her entrepreneurial intention. A sample of 143 students in the tourism department of a Greek University answered an online questionnaire at the end of the semester. Findings show that Personal Attitude (PA), Social Norms (SN) and Self-efficacy (SE) had a significant impact on the Entrepreneurial Intention (EI) of tourism students. The characteristics of those starting up businesses in the tourism sector will also be reviewed, and the consequences for policy makers will be examined to encourage new start-ups and increase the survival chances of the existing ones.

Residents’ Perception of Tourism Impact, Participation and Support in Destinations under the COVID-19 Pandemic: The Intermediary Role of Government Trust

Community residents’ support is one of the key factors affecting the development of tourist destinations. A clear understanding of influencing factors and internal transmission mechanisms in community residents’ support for tourism can lend to a theoretical basis and reference for tourism management departments to formulate relevant policies. It is therefore conducive to the rapid recovery and sustainable development of tourism amidst the intermittent outbreaks of COVID-19 pandemic. Taking Guilin as the site for a case study, this study examined the effect of local residents’ perceptions of risks due to the COVID-19 pandemic, benefits of tourism and residents’ participation in it, government trust, and support for tourism. In particular, the intermediary role of residents’ tourism participation and the moderating role of government trust has been explored. A total of 383 residents in Guilin City were selected as the sample for hierarchical regression analysis. The results showed that perceived risks had a significant negative impact on support for tourism, but no significant impact on resident participation. Tourism’s perceived benefits had a significant positive impact on both support for and participation in tourism, and residents’ participation played a partial mediating role in the relationship between perceived benefits of and support for tourism. Government trust played a significant moderating role in the relationship between tourism’s perceived benefits and residents’ participation, between perceived benefits and support for tourism, and between residents’ participation in and support for tourism.

The Impact of the Wellness Tourism Experience on Tourist Well-Being: The Mediating Role of Tourist Satisfaction

On the basis of the bottom-up spillover theory, this study explores the influence of the wellness tourism experience on tourists’ well-being. Considering wellness tourists as the research participants, tourist satisfaction, gender, and age were selected as the mediating and moderating variables, respectively, to study the mechanism between the wellness tourism experience and tourist well-being. A questionnaire survey was sent to 445 participants who engaged in wellness tourism in China, and an empirical analysis was conducted using the structural equation model. The results showed that the entertainment, esthetic, and escape experience of wellness tourism can significantly affect tourists’ hedonic and eudaimonic well-being. Tourist satisfaction, as a mediating variable, can enhance the positive impact of the wellness tourism experience on tourist well-being. Moreover, gender and age have a significant moderating effect on the relationship among wellness tourism experience, tourist satisfaction, and tourist well-being. This study enriches the current scholarship in the fields of the wellness tourism experience and tourist well-being and provides a theoretical basis and scientific decision-making reference for wellness tourism enterprises and tourism management departments.

Network Structure Features and Influencing Factors of Tourism Flow in Rural Areas: Evidence from China

Exploring the spatial network structure of tourism flow and its influencing factors is of great significance to the transmission of characteristic culture and the sustainable development of tourism in tourist destinations, especially in backward rural areas. Taking Qiandongnan Miao and Dong Autonomous Prefecture (hereinafter referred to as Qiandongnan Prefecture) as an example, this paper adopts social network analysis and Quadratic Assignment Procedure regression analysis to study the network structural characteristics and influencing factors of tourism flow using online travel blog data. The results show that: (1) There are seasonal changes in tourism flow, but the attractions that tourists pay attention to do not change with the seasons. (2) The tightness of the tourism flow network structure is poor. The core nodes are unevenly distributed, and there are obvious structural holes. (3) The density of the tourism flow network is low. There is a clear core–periphery structure in the network, and the core area has a weak driving effect on the periphery area. There are more cohesive subgroups in the network, but the degree of connectedness between the subgroups varies greatly. (4) Geographical adjacency, transportation accessibility, and tourism resource endowment influence tourism flow network structure. The study found that the influencing factors of tourism flow in rural areas are different from those in urban areas. These results provide useful information for the marketing and development of tourism management departments in rural areas.

Rural Tourism Resource Research Based on Multisensor and Geographic Information Big Data

With the continuous improvement of living standards, the rapid development of tourism, and increasing maturity of traveler behavior, tourism has become an essential part of people’s daily life. Also, in recent years, with the continued development of economic and global integration, coordinated development has become a global trend. After more than 30 years of development and exploration, rural tourism in China is increasingly diversified. The accelerated development of a new socialist countryside and the integrated development of urban and rural areas provide important options for urban residents to escape from their habitual environment and seek leisure, comfort, and relaxation. Meanwhile, rural tourism development is based on certain resources and has a great coupling relationship with China’s urban and rural development. As a result, rural tourism has long become a hot issue for academic research. However, with the continuous promotion of rural revitalization, rural tourism in China has presented some serious problems such as resource overdraft. These issues have caused serious harm to China’s rural tourism resources and cultural heritage. On this basis, it is necessary to view rural tourism development from the perspective of coordinated regional development. Specifically, rural tourism resources should be characterized through a method of character selection to sort out rural development paths. At the same time, the development of regional tourism linkages for villages with shared source markets, dense location distribution, and similar landscape resources can effectively avoid regional homogeneous competition, form complementary advantages, and achieve sustainable development of regional economy, culture, and society. In addition, with the continuous development of information technology and computer technology in recent years, the construction of digital countryside has been completed. In other words, the conditions are in place to establish a rural tourism resource information platform that combines tourism information database and geospatial framework. The establishment of rural tourism resources information system will meet the information requirements of tourists and tourism management departments and lay the foundation of information technology for the development of rural tourism. Therefore, this study combines multisensor and geographic information big data technology to explore rural tourism resources. After that, based on the analysis of the evaluation results, specific regional overall linkage development strategies are proposed in four aspects: coordinating regional resources, optimizing resource allocation, integrating spatial types, and establishing regional brands. This can provide an effective strategic support for the diversified development direction of rural tourism.

Study on Tourism Consumer Behavior and Countermeasures Based on Big Data.

In our study, through consulting, summarizing, and analyzing a large number of related literature studies on tourism consumer behavior, tourism big data, text data analysis, and so on, a framework of research ideas on tourism consumption was constructed. The train browser, NLPIR, and other software packages are used to crawl, preprocess, and mine the travel sample data, and the word frequency analysis, co-occurrence analysis, content analysis, sentiment analysis, network analysis, and other methods are used to analyze the characteristics and decision-making behavior of tourists. Based on the results of behavioral analysis, we proposed tourism development strategies from three aspects: reforming and promoting tourism marketing strategies, improving tourism product and service quality, and improving tourism destination management methods. The results show that (1) for the tourist characteristics, taking into account the factors of climate and geographical location, the domestic market is divided into four grades of markets, and different marketing strategies are adopted according to different market characteristics; (2) for the tourism decision-making behavior, a “push-pull resistance” tourism decision-making model was established through word frequency analysis, co-occurrence analysis, and content analysis; (3) for the tourism consumption preferences, through network analysis of scenic spots, it is found that there are three tourist routes preferred by tourists; and (4) for the tourism perception evaluation behavior, based on the “cognitive-emotional” model, this study describes the tourism image from the two dimensions of the cognitive image and emotional image. Generally speaking, tourists show a positive perception state. The research on tourism consumer behavior based on UGC (user-generated content) data can help scenic spots and other tourism companies to understand the characteristics and rules of tourists' behavior, understand the consumption preferences of different tourism groups, develop diversified tourism products, improve the quality of tourism services, and further cater to market segments. This research provides a new idea for tourist attractions and tourism management departments to monitor tourist behavior through big data analysis.

Tourists’ Spatial–Temporal Behavior Patterns Analysis Based on Multi-Source Data for Smart Scenic Spots: Case Study of Zhongshan Botanical Garden, China

The data based on location/activity sensing technology is exploding and integrating multi-source data provides us with a new perspective to observe tourist behavior. On the one hand, tourist preferences can be extracted from the attractions generated by clustering. On the other hand, potentially extracted tourist information can provide decision-making support for tourism management departments in tourism planning and resource development. Therefore, developing smart tourism services for tourists and promoting the realization of “smart scenic spots.” A field survey was conducted in Zhongshan Botanical Garden, China, from 3 February to 3 April 2019. This empirical study combines a handheld GPS tracking device and questionnaire survey using SEE to optimize k-means clustering algorithm and explores the spatial–temporal behavior patterns of tourists. The results showed that tourists in the botanical garden could be divided into three behavioral patterns. They are recreation and leisure, birdwatching and photography, and learning and education. The spatial–temporal behavior patterns of different tourists have obvious differences, which provides a basis for the planning and management of smart scenic spots.

Minority Tourist Information Service and Sustainable Development of Tourism under the Background of Smart City

The continuous and in-depth development of smart technology has brought new development opportunities and challenges to the development of the tourism industry. This research mainly discusses the design of ethnic minority tourism information services and sustainable tourism development in the context of smart cities. The smart tourism public service application system must meet the three major requirements of different service objects. One is a smart service system aimed at satisfying tourists’ travel information services. The second is to meet the needs of tourism companies for online marketing and e-commerce on the platform. The third is to provide a platform for the government to master travel information and supervise the travel market to realize e-government management. Therefore, the smart tourism application system includes three aspects: service, market, and management. The smart tourism service module is a module that the platform provides tourists with “eating, accommodation, transportation, travel, shopping, and entertainment” tourism information inquiry and consulting services and also uses modern information technology to provide navigation, tour guide, and shopping guide services in tourism. The smart tourism marketing module is the corporate product display, image promotion, and platform sales services provided by the platform for tourism companies. The smart tourism management module provides tourism management departments with services for managing various types of tourism information on the platform, platform security operations, and emergency response systems. As an ethnic minority region, the total tourism revenue of M city in 2020 will reach 75.68 billion yuan, a year-on-year increase of 21.33%. This research will highlight the unique charm of ethnic minorities and help drive the economic development of one party.

The Effect of Food Safety and Hygiene Education on The Knowledge Levels of Tourism Students in Turkey

This study aims to reveal the effect of food safety and hygiene lesson on the food safety knowledge level of the students studying in the tourism management department. The lesson has included hygiene, sanitation and food safety concepts, hygiene and sanitation in tourism businesses, personal hygiene, microbiological, physical and chemical degradation of foods, food safety systems. Questionnaire consisting of a total of forty questions on food and foodborne diseases, personnel hygiene, kitchen and equipment, contamination, temperature control, and food preservation was used as a data collection tool. The study was administered to tourism management and hospitality undergraduate students studying in Turkey. Students had the lowest range of food safety knowledge about temperature control and food preservation (20.6%-89.2%) on temperature control and food preservation before the food safety and hygiene lesson. In other groups, students showed a level of knowledge in the average 86.5%-92.8% range. The lesson showed a significant difference in all parts regarding the level of food safety knowledge. When evaluated in general, the present study showed that with a lesson like food safety and hygiene, deficiencies in food safety information can be overcome.

Modeling Tourists’ Departure Time considering the Influence of Multisource Traffic Information

The development of tourism brings economic benefits as well as additional pressure on the urban traffic system. For example, the travel time of tourists coincides with the rush hour of urban residents’ daily commuting. Limited urban traffic resources cannot meet the travel needs of tourists and urban residents at the same time, resulting in traffic congestion and low travel efficiency. Now, with the development of intelligent technology, tourists can obtain real-time information about transportation systems through various channels and adjust their travel behavior accordingly. This study shows tourists’ travel behavior based on a survey conducted to the tourists in Yangzhou city. 1500-interview data are analyzed, and a Multinomial Logit Model (MNL) was employed to establish the probability prediction model of tourists’ departure time choice. The results presented that sync traffic information and some other tourism-related factors determine the choice of tourists’ departure time. These factors distinguish the travel behavior of tourists from the daily travel behavior of urban residents. This study can provide suggestions for the urban tourism management department to formulate more targeted and efficient policies while creating a more comfortable tourism environment for tourists.

Spatiotemporal characteristics and impact mechanism of high-quality development of cultural tourism in the Yangtze River Delta urban agglomeration.

The Yangtze River Delta urban agglomeration is the leading and demonstration area for the high-quality development of culture tourism (HDCT) in China. It is of great significance to study the spatiotemporal characteristics and impact mechanism of the HDCT for revealing the internal law of HDCT and promoting the collaborative innovation of culture tourism among cities. Based on the scientific construction of the evaluation system of HDCT, this paper made a quantitative analysis of 26 cities’ HDCT by using coupling coordination degree model, Lisa spatiotemporal transition and spatial Durbin model (SDM). The results show that: The overall level of 26 cities’ HDCT shows a fluctuating upward trend, and presents a "Z" pattern in space. More than 80% of the cities are at the medium and high level. Shanghai has obvious advantages in the primacy degree. There is a significant positive spatial autocorrelation among cities with high-quality of culture tourism development. The spatial clustering and proximity of the same kind are increasing, and the radiation effect is gradually obvious. The local spatial association patterns are mainly HH and LL agglomeration, and the characteristics of polarization are gradually prominent. The local spatial correlation structure of HDCT has strong stability, the transfer inertia between types is prominent, and the overall spatial evolution is lack of integration with obvious path dependence and lock-in effect. The spatiotemporal evolution of the HDCT is a complex process under the interaction of multiple factors, and there is a significant spatial spillover effect (0.256). The level of economic development, technological innovation, professional talent allocation are the three main factors. According to the dominant factor, it can be divided into economy stabilizing type, industry optimizing type, innovation driving type and traffic impacting type. These findings have implications for local governments and tourism management departments to achieve high-quality innovative development of cultural tourism.

Internet Tourism Resource Retrieval Using PageRank Search Ranking Algorithm

At present, there is a wide variety of tourism resources on the Internet. Tourism management departments must monitor these resources. At the same time, tourists must also retrieve personalized information that they are interested in. This requires a lot of time and energy. This essay studies and implements the tourism network resource monitoring system. The main work completed in the thesis proposes and constructs a topic collection algorithm and establishes a starting point, topic keywords, and a prediction mechanism. The algorithm includes three stages: the first climbing stage, the learning stage, and the continuous climbing stage. Open category directory search is used for similarity judgment and result evaluation. The experimental results show that with the continuous execution of the crawling process, the collection speed of related pages is getting faster and faster. We propose an algorithm for the extraction of wood based on the density of Internet tourism resources. The algorithm calculates the ratio of Internet tourism resource labels by row and uses a threshold extraction algorithm to distinguish area from private non-Internet tourism resource area. Experimental results show that the algorithm can successfully extract the main content of the article from a wide variety of web pages. This thesis takes the monitoring of tourism network resources as the research object and establishes a tourism network resource monitoring system, which can provide users with customizable, all-round, and real-time tourism network resource collection, extraction, and retrieval services so as to monitor tourism resources. The research results of this article can promote the construction of tourism informatization and can help users grasp the latest tourism information, thereby bringing great convenience to tourism. The system only downloads travel-related information through the use of topic collection technology, reducing the interference of irrelevant redundant web pages.

A BIBLIOMETRIC ANALYSIS OF THE GRADUATE THESES ON “TOY”

On the one hand, toy is considered as a miniaturized form of objects used by adult people, on the other hand, it refers to materials used as a game tool. However, while the tools used by adult people in their plays are accepted as play materials; the tools that children use while playing play function as toys. In this respect, the toy is the most important part of the child’s plays. For this reason, in this study, the materials used by children in their plays have been accepted as toys and the study has been conducted in this direction. In recent years, with the importance of the child in the tourism sector, child-friendly tourism and child-friendley hotels have been investigated in the tourism literature. Within the scope of this research, the literature review method has been used as a data collection tool and the scans have been conducted in the context of the words “toy”, “play material”, “play object” and “play tool”. By scanning, 100 master and doctoral theses in the database of the Council of Higher Education National Thesis Center and open to access have been reached, and these graduate theses have been subjected to bibliometric analysis. This analysis has been carried out in line with the data parameters specified for bibliometric analysis in the literature. The analysis process was carried out between 13 January and 27 January 2021, and the Excel file was used in the analysis. The findings obtained as a result of the analysis are presented in six stages in the study. According to the results obtained in line with the findings, the importance given to toys has increased with each passing year, toy has become a multidisciplinary study subject and has been subject to different study areas. However, despite the importance of children in tourism and the subject of toys in many different fields, it has been observed that the subject of toys has not yet been reflected in the graduate theses written in Tourism Management Departments. Therefore, this study is expected to be a guide for the tourism field.

Investigating the determinants and process of destination management system (DMS) implementation

PurposeThis study aims to propose a comprehensive model to help understand factors influencing the intention to participate in a destination management system (DMS) amongst tourism stakeholders in Vietnam which are considered as the determinants of the successful implementation of the system.Design/methodology/approachA survey was conducted to investigate key stakeholders' opinions of participating in a DMS. In total, 301 questionnaires were used for analysis. Partial least squares structural equation modelling (PLS-SEM) was used to assess the measurement and structural models of the study.FindingsFactors that influence various tourism stakeholders' intention to participate in the national DMS in Vietnam have been identified and examined. The results identify the important predictors of the tourism stakeholders' participation in the DMS including information quality, DMS operator readiness, government regulations and technology awareness. Interestingly, technology awareness was ascertained as a significant mediator for the relationship between performance expectancy, social influence, technology competency, competitive pressure and the intention to participate in the DMS.Originality/valueThis study has a unique theoretical contribution by developing a comprehensive model to predict the intention to participate in a DMS amongst tourism stakeholders with the modification and combination of three theoretical models and frameworks: the unified theory of acceptance and use of technology (UTAUT) model, technology–organisation–environment (TOE) framework and updated DeLone and McLean information systems (D&M IS) success model. It is expected to be a useful reference source for tourism management departments that want to develop DMSs in Vietnam. This model also can be used as an initial investigation for DMS implementation studies at other destinations.

Factors influencing Chinese residents' post-pandemic outbound travel intentions: an extended theory of planned behavior model based on the perception of COVID-19

Investigación sobre los factores que influyen en la voluntad de viajar al extranjero de los residentes chinos después de la nueva epidemia de neumonía coronaria: un modelo extendido de TPB basado en la percepción de la epidemiaResumenPropósitoEste estudio tiene como objetivo explorar los factores que influyen en las intenciones posteriores a la pandemia de los residentes chinos de participar en viajes al extranjero. Se estudia el mecanismo por el cual la percepción de los residentes sobre la enfermedad por coronavirus (COVID-19) influyó en sus intenciones de viajar al extranjero.Diseño/metodología/enfoqueEste estudio tiene como objetivo explorar los factores que influyen en la intención de viaje de salida de los residentes chinos después de la pandemia, en particular el mecanismo por el cual la percepción de los residentes de COVID-19 influyó en sus intenciones de viaje de salida.HallazgosLos resultados mostraron que la actitud, las normas subjetivas, el control conductual percibido y el comportamiento de viajes de ida y vuelta en el pasado tienen efectos positivos significativos sobre la intención de viajar de ida después de la pandemia. Si bien la percepción de COVID-19 influye directamente de forma negativa en la intención de viaje de ida, también influye indirectamente en la intención de viaje de ida a través del efecto mediador de las intervenciones no farmacéuticas. También encontramos que la tolerancia al riesgo tiene un efecto moderador negativo sobre el impacto directo de la percepción de los residentes sobre el COVID-19 en la intención de viaje.Implicaciones prácticasNuestros hallazgos se pueden utilizar como referencia para las agencias gubernamentales, los departamentos de gestión del turismo y las empresas turísticas en los países de destino en la formulación de políticas de desarrollo turístico adecuadas.Originalidad/valorEste estudio desarrolló un modelo TPB extendido agregando más constructos en el modelo TPB. En comparación con el modelo TPB original, el modelo TPB extendido tiene un mejor poder explicativo de las intenciones de viaje posteriores a una pandemia en el contexto de una pandemia. Este estudio también proporcionó evidencia de la aplicabilidad del modelo TPB para estudiar las intenciones de viaje en el contexto de las principales emergencias de salud pública y amplió el ámbito de aplicación del modelo TPB.