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The Great Resignation has brought significant challenges to the recovery of the hospitality industry from the depression caused by the coronavirus pandemic (COVID-19). Prior studies have revealed that the leading cause of the Great Resignation is negative employee experience. However, few empirical studies have been conducted to obtain deep insights into the negative experiences of hospitality employees. Hotel managers still lack the knowledge to help them resolve the workforce problem and maintain competitiveness during the pandemic. This study proposes a novel framework, named HENEX, that uses data-mining technologies and employees' online reviews about hotels to identify the factors that lead to hospitality employees' negative experiences and changes in these factors caused by COVID-19. We demonstrate the effectiveness of HENEX through a case study that involves major hotels in Australia. The findings could help hotel managers develop strategies to resolve the workforce problem and maintain competitiveness during the Great Resignation period.
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Purpose: With the rapid development of sharing economy, travelers are facing choices between conventional hotels and the peer-to-peer sharing accommodation in urban tourism. The purpose of this study is to examine how travelers form their preferences in such choice situations and whether/how their preference formation mode would change with the COVID-19 pandemic. Design/methodology/approach: A relative preference model was constructed and estimated for both domestic and outbound tourists, based on two waves of survey data collected before and after the COVID-19. The results of this study were compared to derive the evolution of preference formation patterns. Findings: A set of 15 key value attributes and personal traits was identified, together with their differential effects with the pandemic. Their divergent effects between domestic and outbound trips were also delineated. Based on these findings, the competitive edges and advantageous market profiles were depicted for both hotel and sharing accommodation sectors. Originality/value: This study contributes to the knowledge of tourists' preference between accommodation types and adds empirical evidences to the impact of the pandemic on tourist behavior patterns. Both hotel and sharing accommodation practitioners can benefit from the findings to enhance their competitiveness.
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Using bibliometric analysis, this research provides a comprehensive, systematic, and visual overview of 441 studies related to smart tourism, which were published between 2010 and 2021, thus considering the state of research and trends in this research field from the beginning of smart tourism research to the entry of the fifth-generation mobile communication technology era and the explosion of COVID-19. It also offers insights into its future research agenda and advancing the development of smart tourism. This paper can provide intuitive and valuable information to promote theoretical and practical research on smart tourism. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
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PurposeWith the rapid development of sharing economy, travelers are facing choices between conventional hotels and the peer-to-peer sharing accommodation in urban tourism. The purpose of this study is to examine how travelers form their preferences in such choice situations and whether/how their preference formation mode would change with the COVID-19 pandemic.Design/methodology/approachA relative preference model was constructed and estimated for both domestic and outbound tourists, based on two waves of survey data collected before and after the COVID-19. The results of this study were compared to derive the evolution of preference formation patterns.FindingsA set of 15 key value attributes and personal traits was identified, together with their differential effects with the pandemic. Their divergent effects between domestic and outbound trips were also delineated. Based on these findings, the competitive edges and advantageous market profiles were depicted for both hotel and sharing accommodation sectors.Originality/valueThis study contributes to the knowledge of tourists' preference between accommodation types and adds empirical evidences to the impact of the pandemic on tourist behavior patterns. Both hotel and sharing accommodation practitioners can benefit from the findings to enhance their competitiveness.
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The COVID-19 outbreak posed severe challenges to tourism and hospitality. The volume of COVID19-pertinent research has remarkably grown. This study conducted a systematic review of initial COVID-19 research in tourism and hospitality using a mixed-method approach to enable researchers to understand the state-of-the-art knowledge. Content analysis and bibliometric analysis were conducted. At the initial research stage, research themes of more than 70% of related articles focused on the theme of responses to COVID-19. Additional findings were provided in the study. This study provides an overview of the research in its initial stage to gain academics' attention to the COVID19 research in tourism and hospitality. In the future, a periodical review of this realm is necessary to reflect the changes in research focus.
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PurposeThe purpose of this study is to develop a holistic resilience framework and its contributing factors for organizations in the hospitality and tourism industry for coping with uncertain environments, such as those brought about by the COVID-19 pandemic.Design/methodology/approachThis conceptual paper is based on a broad review of the literature on organizational resilience and strategic leadership. A conceptual framework is developed and discussed.FindingsThis study develops a holistic "strategic leadership-enhanced organizational resilience framework” that addresses the actions and mindsets required by hospitality and tourism organizations to attain organizational resilience and health.Research limitations/implicationsThis study fills the research gap in corporate resilience frameworks for hospitality and tourism. This study has practical implications for the industry by suggesting specific actions that companies can take to enhance their organizational health and resiliency under environmental uncertainty.Originality/valuePrevious studies suggested only partial strategic resilience responses. This study constructs a holistic "strategic leadership-enhanced organizational resilience framework” in the hospitality and tourism context.
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The outbreak of COVID-19 has brought increasing attention to proximity travel. This mode of travel is a convenient travel setup for both tourists and neighboring destinations. With the help of the model of goal-directed behavior (MGB), this study investigates the influence of tourists' perception of epidemic risk on their intentions for proximity travel during the normalization of epidemic prevention and control. This study takes Shenzhen, China as the research area, and carried out the investigation in the context of normalization of the epidemic in China. A total of 489 pieces of valid sample data were collected through questionnaire surveys. Statistical analysis software, such as SPSS26.0 and AMOS23.0, were used to analyze the collected data information quantitatively, including descriptive statistical analysis, reliability and validity test, CFA and SEM. The results showed that attitude, subjective norms, positive anticipated emotions, and perceptual behavior control have significant positive effects on travel desire. Travel desire has a significant positive impact on travel intention, whereas negative anticipated emotions have no significant effect on travel desire. Meanwhile, the epidemic risk perception has a significant positive effect on attitudinal travel desire and travel intention. Under the background of the COVID-19, the stronger that the epidemic risk is perceived by tourists, the more the desire and intention to proximity travel are enhanced.
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Purpose>The purpose of this study is to systematically analyze the evolution of health tourism development, identify relevant themes and segments of health tourism research and offer future research directions and practical implications for academic researchers and tourism practitioners worldwide using China as an example.Design/methodology/approach>Using a bibliometric analysis, the present study comprehensively analyzes the theme, segments and the evolution of health tourism research over the past 40 years in China.Findings>Major findings show that health tourism research in China could be divided into four stages with different characteristics, and three segments, including wellness tourism, health and wellness tourism and medical tourism. Findings also reveal the trend of health tourism development tends to be industrialized, diversified and systematic under the guidance of recent policies. Theoretically, based on the theoretical framework developed by Hall (2011), the present study contributes to the establishment and extension of the framework for health tourism within the context of China. Practically, findings can provide health tourism-related policy implications for the future development of health or health sector-integrated tourism.Research limitations/implications>The study proposes possible collaboration between government and academia in terms of health tourism-related policy formulation.Originality/value>Through 40-year bibliometric analysis of health tourism evolution in China, the present study explores the main themes of health tourism development, identifies the segments of health tourism and analyzes the development stages of health tourism. Findings should be of use to international readers to better understand the uniqueness of health tourism development and find out possible future health tourism development research directions. As a result, major contributions of this paper are the comprehensive analysis of the evolution of health tourism research and the implications on other countries and regions to adopt a pragmatic approach to explore the trend and unique characteristics of health tourism for future development.
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To systematically understand the evolution of health tourism in China, the present study visually analyzes the theme evolution and frontiers of Chinese health tourism research on the basis of the China National Knowledge Infrastructure (CNKI) database through bibliometric analysis. The findings reflect the existence of diverse clustering themes in health tourism research, and the formation time of each theme is different. The findings also indicate that the change in the theme is led by government policy. Theoretically, the findings of the present study can, on the one hand, contribute to the health tourism literature by comprehensively exploring and summarizing the themes and topics of health tourism development in China since its appearance (i.e., 1981), and, on the other hand, provide references for future health tourism exploration directions. Findings of the present study can provide references for effective future development directions of the health tourism industry.
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Novel coronavirus (COVID-19) has had a huge impact on the global tourism industry over the past couple of years. Most previous studies investigated tourism crises after the pandemic period. Hence, to minimize the research gap, the present study investigates the impact of COVID-19 on tourism during the pandemic period. By assessing this impact, this paper proposes a D (big data) I (impact module) S (strategy module) E (evaluation module) model to cope with the crisis in order to bring about feasible implications for tourism practitioners and governments. This paper is to provide real-time destination management adjustments. This model is based on a crisis management framework and governance theory through retrieving big data from China Unicom and major travel information delivery sources. The major finding shows that the detailed time points of pandemic information release in the early stage of crisis. In conclusion, through proposing a DISE model, the present study assesses the impact of the major emergency public health crisis, assists destination managers in adjusting tourism-related policy and reflects the priority of recovering tourism after the crisis for effective tourist destination management.
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Recently, robots have been widely adopted in the hospitality and tourism industry. Efficient robots can help hoteliers and tourism suppliers with their repetitive or manual labor. Due to the coronavirus disease (COVID-19) pandemic, there is an increasing number of publications on robotic applications in hospitality and tourism. However, a comprehensive literature review of this realm remains lacking. Therefore, to provide a holistic view of the existing literature on robotic applications in hospitality and tourism, this study reviewed 86 extant robotic application-related articles by conducting descriptive analysis and content analysis. The findings of this study showed that most of the existing relevant studies were conducted from the perspective of consumers in the hospitality context. Potential future research directions for academics are identified herein. Practical implications on robotic adoption are also provided for industry practitioners.
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Purpose>Most previous studies have discussed the factors that drive the development of smart tourism or its benefits. Nevertheless, hindrances to smart tourism development have been largely ignored by previous studies. Hence, to bridge the aforementioned research gap, the present study identified the hindrances to smart tourism development in Hong Kong, which has been affected by the recent pandemic, based on the adjusted destination competitiveness conceptual models.Design/methodology/approach>The purpose of this study is to investigate the hindrances to smart tourism development. A qualitative interview method using a semi-structured questionnaire with open-ended questions was adopted in the present study.Findings>Findings of the present study indicated that the hindrances in developing smart tourism in Hong Kong are from four primary perspectives, namely, economic, sociocultural, technological and planning and management.Research limitations/implications>Seeking cooperation from popular tourist destinations can address the economic issues of market size and return on investment in technological infrastructure. Experiences, as the core product of travel, should be highlighted in smart tourism development and enterprises should be given support for the transformation.Originality/value>Theoretically, based on the adjusted conceptual models for destination competitiveness, the present study identifies the macro factors that hinder the development of smart tourism in Hong Kong from different primary perspectives. Practically, factors such as policy support, which includes public funding or low-interest loans, are essential to supporting preliminary finances to attract entrepreneurs and young talents to participate in the development.
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This research examines how fear of the crisis affects the mental health of hospitality workers in the cruise industry by performing a cross-sectional survey and using partial least squares model. Results confirm that fear of pandemic-induced shutdown negatively affects the mental health of cruise ship employees. The moderating effect of perceived employability outside the cruise ship industry and family emotional support are also uncovered. This study successfully consolidates the literature on job demand, job resources, work engagement, and well-being to determine the complex essence of cruise ship employees’ work engagement and well-being. Theoretically, this study expands the scarce literature that links the fear of the crisis with employees’ poor mental health. Some previous studies have examined this relationship in other contexts of economic crisis throughout history, but, for obvious reasons, none of these studies have had the opportunity to investigate a global economic crisis associated with a health crisis.
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The unprecedented public panic caused by COVID-19 will affect the recovery of tourism, especially the theme parks, which are generally crowded due to high visitor volume. The purpose of this study is to discuss the effect of the COVID-19 on the theme park industry. This study aims to predict recommendation intentions of theme park visitors by exploring the complicated mechanism derived from the fear of COVID-19. This study uses a quantitative research method, and SPSS 20.0 and AMOS 22.0 were used for data analysis. An online survey was conducted with 420 Chinese respondents who visited Shanghai Disneyland after its reopening. The study explored the relationship between Fear of COVID-19, perceived risk, participation, service experience, and revisit intention. Results indicated the perceived risk of theme park visitors will not directly ruin their recommendation intention. Visitors' fear of COVID-19 enhanced their perceived risk, reduced their desire for active participation and impaired their service experience, which consequently affected their recommendation intention. We provide theoretical and managerial implications.
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COVID-19 presents a formidable challenge to global tourism. One of the emergency measures adopted by the Macau restaurant industry has been to increase its revenue by joining an online-to-offline (O2O) platform. Nevertheless, are there any risks that follow these opportunities? This article aims to explore whether any risks follow these opportunities, which could extend the literature. Study 1 explores the key factors that customers focus on by analyzing the content of customer reviews published on the Aomi platform through Python. Results show that brand credibility, freshness, and taste remained prominent in the customers' dining experience. Packaging, delivery quality, and hygiene emerged as new factors due to the COVID-19 pandemic and the popularity of the O2O platform. Customers and staff continued to participate in service interactions through these online channels. Meanwhile, Study 2 contributes to the present understanding of O2O services in restaurants by interviewing catering professionals, and the results highlight how restaurateurs adopt their strategies on O2O platforms.
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COVID-19 , COVID-19/epidemiología , Alimentos , Humanos , Macao , Pandemias , RestaurantesRESUMEN
This work constructs an evaluation index system and quantitatively explores the coupling coordination relationship between the tourism development system and the medical services system in China. Results show that the degree of coupling coordination between the tourism development system and the medical services system showed a good upward trend in China during the period 2012-2019. However, the relationship was barely balanced, with tourism development lagging. The overall layout shows a spatial pattern of "high in the north and low in the south, high in the east and low in the west." The degree of coupling coordination tends to be randomly distributed from clustered distribution, and the cold-hot spots show a spatial development pattern of "cold in the northwest and hot in the southeast" as time passes. The power of government to regulate has always been an important mechanism affecting the degree of coupling coordination. The study aims to provide reference for the rationalization of medical tourism layout and sustainable development.
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Desarrollo Económico , China , Gobierno , Humanos , TurismoRESUMEN
The present study examined the perception, reaction (i.e., possible measures), and future development from the perspectives of hotel and tourism practitioners and experts to investigate the influence of coronavirus disease 2019 (i.e., COVID-19) on the hospitality and tourism industry in China. After conducting 58 in-depth interviews among hotel and tourism practitioners and experts, feasible and practical measures were proposed to reduce such influence and predict the future development of China's hospitality and tourism industry. Findings indicate that the influence of COVID-19 on the industry is perceived mainly through the pandemic's economic and social effects. Possible measures that can be adopted for the recovery of China's hospitality and tourism industry include the following aspects: government financial support, employee relationship management and electronic (e)-training, business marketing management, and industry co-operation network. A Perception-Reaction-Predication (PRP) crisis model is also proposed.
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COVID-19 , China , Humanos , Percepción , SARS-CoV-2 , TurismoRESUMEN
PurposeThis study aims to offer a comprehensive review of mobile payment (m-payment) research in hospitality and tourism.Design/methodology/approachThis study systematically reviews 105 m-payment-themed publications retrieved from five research engines including EBSCOhost, Google Scholar, Web of Science, ScienceDirect and Scopus. Content analysis is used to draw insights from the articles.FindingsResults show that research on m-payment in hospitality and tourism is generally categorized into consumer, supplier and policy dimensions. This study proposes a framework to summarize the demand–supply research standpoints and conditions that qualify research outcomes while providing contemporary policy-related discussions. Four research priorities for future studies are recommended.Practical implicationsKnowledge accumulation and policy-related discussions identified in this study equip practitioners with the opportunities and challenges brought by m-payment. This study provides recommendations according to the factors that drive adoption of m-payment.Originality/valueThis study addresses the academic gaps by critically analyzing m-payment research in hospitality and tourism and identifying four research priorities for future studies.