Covid-19 and tourism vulnerability

The COVID-19 pandemic has dramatically impacted tourism and leisure activities worldwide, especially in the hospitality sector. This paper has a conceptual and empirical motivation based on two objectives. First, it identifies several of the primary factors behind the vulnerability of tourism to COVID-19 (tourism dependency, market structure, the supply of rural accommodation, and health incidence of the pandemic). Second, it constructs a vulnerability index to COVID-19 using Spain and its 50 provinces as case. The main results obtained indicate that tourism to the Balearic Islands, the Canary Islands, the provinces of the Mediterranean coast, and Madrid, in which the state capital is located, present higher vulnerability to COVID-19, yet with different underlying factors. Our methodology and results are of interest to policymakers in terms of the short- and medium-term strategic policies that can be employed to mitigate current and future shocks.     

COVID-19 and the future of work in the hospitality industry

The COVID-19 pandemic has significantly disrupted the hospitality industry. This research combines different data to examine the US labor market trends during COVID-19. It is found that low-preparation jobs in leisure and hospitality are the hardest hit and slow to recover. The pandemic has highlighted growing issues in workplace safety, skill gaps, technology adoption, and work reorganization in the hospitality industry. This paper develops two propositions about preparing hospitality workers for the future of work and providing flexible work arrangements.     

Avoiding panic during pandemics: COVID-19 and tourism-related businesses

The COVID-19 pandemic has brought devastating impacts of an unprecedented scale to tourism-related businesses due to governments instituting mobility restrictions and business closures worldwide. In this research, we present the results of a survey involving 1212 tourism-related businesses in Jiangxi province, China, in late February 2020. The survey covered various topics, including (1) self-evaluated effects of COVID-19, (2) business responses, (3) social responsibility behavior, and (4) anticipated government policies. Findings from mixed-effects (ordered) logit models revealed that small-sized businesses appear particularly vulnerable to the pandemic. Social responsibility behavior is determined by business size, local pandemic circumstances, and local tourism dependence. Different businesses favor distinct government aid policies. Based on estimation results from our econometric models, we plotted a policy positioning matrix to identify appropriate policy measures for diverse businesses.     

新冠肺炎疫情对区域旅游发展影响及恢复发展应对策略研究——以云南省为例

新冠肺炎疫情爆发并迅速蔓延,对依赖以人的位移产生综合消费的旅游业的影响是巨大而且全方位的。以云南省为例,从宏观旅游经济运行、中观旅游业态发展、微观旅游企业发展及旅游资本市场四个层次,对新冠肺炎给区域旅游发展带来的影响进行分析与研判。在此基础上,提出区域旅游恢复发展的应对策略。     

Effectuation and causation configurations for business model innovation: Addressing COVID-19 in the gastronomy industry

The gastronomy sector is among those that are hit particularly hard by a loss of customers and regulatory uncertainty of the COVID-19 crisis. When established ways of doing business become almost impossible, business model innovation (BMI) is a possible reaction to this high uncertainty level. Effectuation and causation are decision-making logics that may lead to BMI and help a firm navigate uncertainty. We investigate configurations of causation and effectuation components associated with a high BMI level during the first wave of COVID-19. We perform fuzzy-set-qualitative comparative analysis (fsQCA) on a sample of 143 gastronomy entrepreneurs in Münster county, Germany. We identify two paths that lead to a high BMI level: “the planning soloist” and “the hedging networker.” We conclude that innovators among the gastronomy entrepreneurs use effectuation and causation components in complex configurations.     

Uncertainty risks and strategic reaction of restaurant firms amid COVID-19: Evidence from China

To contain the pandemic of coronavirus (COVID-19), social distancing, self-isolation and travel restrictions have been imposed globally. To shed light on how COVID-19 is affecting restaurant industry, this study aims to explore the factors that affect restaurant firms’ financial turnaround for their sustainability after the business shutdowns amid the COVID-19 pandemic. By utilizing a total of 86,507 small- and medium-sized restaurant firms’ sales data collected from nine cities in Mainland China, the exploratory approach of this study successfully determines positive impacts of three aspects of operational characteristics (i.e., delivery, discounts, and service type) and brand effects as uncertainty minimizing factors amid distinctive business shutdowns and restrictions. This is the first empirical study in the management realm on the impacts of COVID-19 on restaurant industry. This paper strengthens the extant literature by highlighting the impact of COVID-19 on the restaurant industry after the business restrictions are lifted.     

The role of business model innovation in the hospitality industry during the COVID-19 crisis

The hospitality industry worldwide is among the hardest-hit industries from the COVID-19 lockdowns. Initial theoretical and practical observations in the hospitality industry indicate that business model innovation (BMI) might be a solution to recover from and successfully cope with the COVID-19 crisis. Interestingly, some firms in the hospitality industry already started to successfully adapt their business models. This study explores the why and how of these successful recovery attempts through BMI by conducting a multiple case study of six hospitality firms in Austria. We rely on interview data from managers together with one of their main stammgasts for each case, which we triangulate with secondary data for the analysis. Findings show that BMI is applied during and after the crisis to create new revenue streams and secure a higher level of liquidity, with an important role of stammgasts.     

Rapid responding to the COVID-19 crisis: Assessing the resilience in the German restaurant and bar industry

The COVID-19 pandemic has fundamentally impacted the restaurant and bar industry. Simultaneously, this industry is already undergoing structural change. Using the concept of organisational resilience, we analyse the impact of the COVID-19 crisis on owner’s assessment of resilience in the German restaurant and bar industry. Findings from an online survey with 623 owners and managers show that ex-ante business problems, and financing by loans or credit, reduce the likelihood of owners perceiving their business as resilient; while, delivery and takeaway service, ownership of property and higher age of owners, increase the likelihood of enterprise resilience. The paper contributes to understanding how restaurants and bars absorb and cope with the COVID-19 crisis. Furthermore, we make recommendation for future research on the recovery and adaptability of the business sector.     

The immediate and subsequent effects of public health interventions for COVID-19 on the leisure and recreation industry

Public health interventions to combat COVID-19 can be viewed as an exogenous shock to the economy, especially for industries—such as leisure, recreation, and tourism—that rely heavily on human mobility. This study investigates whether and how exactly the economic impact of government public health policies varies over time. Focusing on the leisure and recreation industry, we use data for 131 countries/regions from February to May 2020 and employ generalized difference-in-differences models to investigate the short- and longer-term effects of public health policies. We find that stricter policies lead, on average, to an immediate 9.2–percentage-point drop in leisure and recreation participation. Even so, that industry recovers in about seven weeks after a COVID-19 outbreak in countries/regions that undertake active interventions. After thirteen weeks, leisure and recreation involvement recovers to 70% of pre-pandemic levels in a place that actively intervened but stagnates at about 40% in one that did not.     

“His lack of a mask ruined everything.” Restaurant customer satisfaction during the COVID-19 outbreak: An analysis of Yelp review texts and star-ratings

The aim of the study was to provide practical advice to restaurant managers for improving star ratings as well as information for researchers on how the pandemic has impacted established determinants of satisfaction. The study examined criteria used by restaurant customers in assigning star-ratings on Yelp during the COVID-19 pandemic using keyword analysis and Multiple Correspondence Analysis. In evaluating restaurants, the reviewers focused on service, overall experience, and food quality. Service was discussed in relation to the pandemic and included safety of the dine-in experience, contrasted with take-out options and compliance with COVID-19 guidelines. These criteria applied differently with lower-star reviews focusing on safety, social distancing, and mask policies. Higher-star reviews focused on take-out/delivery services, high-quality food, and an overall positive experience. The study provides valuable contributions to our understanding of how the COVID-19 pandemic will impact the restaurant sector in a post-pandemic world.     

The choice between business travel and video conferencing after COVID-19 – Insights from a choice experiment among frequent travelers

COVID-19 has accelerated the substitution of videoconferencing for business travel. However, little research exists about the decision-making behavior of business travelers considering virtual alternatives. We fill this gap by reconceptualizing the decision-making process and investigating the fundamental choice between face-to-face (FtF) and virtual communication (VC) using an adaptive choice-based conjoint analysis. We argue that the process of decision making of business travelers is distinct to that of leisure travelers, as the fundamental decision between FtF and VC occurs prior to subsequent travel decisions. We show that the purpose of the meeting, the character of the message, and the location of the meeting are the decision attributes of greatest importance. Using a novel methodology we present a holistic decision model that increases the theoretical understanding of business traveler decision-making and provide practitioners with comprehensive insights relevant to travel policy development, and executives in the business travel market with guidance with management decisions.     

Comparative study of deep learning models for analyzing online restaurant reviews in the era of the COVID-19 pandemic

Online reviews remain important during the COVID-19 pandemic as they help customers make safe dining decisions. To help restaurants better understand customers’ needs and sustain their business under current circumstance, this study extracts restaurant features that are cared for by customers in current circumstance. This study also introduces deep learning methods to examine customers’ opinions about restaurant features and to detect reviews with mismatched ratings. By analyzing 112,412 restaurant reviews posted during January-June 2020 on Yelp.com, four frequently mentioned restaurant features (e.g., service, food, place, and experience) along with their associated sentiment scores were identified. Findings also show that deep learning algorithms (i.e., Bidirectional LSTM and Simple Embedding + Average Pooling) outperform traditional machine learning algorithms in sentiment classification and review rating prediction. This study strengthens the extant literature by empirically analyzing restaurant reviews posted during the COVID-19 pandemic and discovering suitable deep learning algorithms for different text mining tasks.     

The effect of online restaurant menus on consumers’ purchase intentions during the COVID-19 pandemic

As COVID-19 escalated globally in 2020, mandated suspension of dine-in services was instilled to control virus transmission. Restaurants lost billions of dollars, millions experienced severe employment changes, and numerous small restaurants closed. For those remaining in business, converting to online food ordering was essential. Unique to the food ordering setting, this study extended the Stimulus-Organism-Response model to predict the purchase intentions of participants in an online food ordering context. Using structural equation modeling, this study discovered the indirect effects of the menu’s visual appeal and informativeness, and the perception of COVID-19 risks on consumer purchase intentions. This causal relationship was significantly mediated by consumers’ desire for food and their perceived convenience of online food ordering. Through providing theoretical and managerial implications for how to identify appropriate products, utilize content marketing effectively, and attract new customers, this study could assist restaurants in adapting to remaining competitive, even post COVID-19.     

Public strategies to rescue the hospitality industry following the impact of COVID-19: A case study of the European Union

The COVID-19 pandemic has caused a “zero tourism” situation throughout the world with unpredictable consequences. Several authors analyzed the economic impacts of the COVID-19 pandemic during the second trimester of 2020, but none of them have specifically examined European Union countries and the joint actions taken to fight the pandemic. Using a case study methodology, this paper presents a literature review of the most up-to-date studies on the impacts of the COVID-19 global pandemic. Secondly, we specify the different public intervention measures implemented by the European Union in accordance with supranational governance theory and stakeholder theory. Finally, we set out the different COVID-19-related public rescue strategies for the tourism and hospitality sector at the individual level (for tourists), at the business level (for touristic companies) and at the destination level (for the European Union countries), from the perspective of stakeholders. The main contribution of our research is therefore to explore the public strategies to rescue the tourism and hospitality sector in the context of the European Union.     

Assessing the moderating effect of COVID-19 on intention to use smartphones on the tourist shopping journey

This work proposes the first model to examine the moderating effect of the COVID-19 syndemic on the acceptance and use of smartphones during the tourist shopping journey. The model was tested with 1800 tourists, 900 non-COVID-19 (i.e. prior to COVID-19) and 900 during the COVID-19 period. The results showed that: 1) the model has better fit for the COVID-19 period as its explanatory capacity for that stage is greater (R² = 0.773) than for the non-COVID-19 period (R² = 0.691); 2) tourists have increased their intention to use smartphones, especially to make payments for purchases; and 3) there are statistically significant differences in the impact of four of the six model variables (performance expectancy, effort expectancy, social influence, and arousal). This research advances knowledge of the impact of COVID-19 on the technological behaviour of tourists, has important practical implications, and raises new research questions about the future of tourism.     

Interpreting the mind of multinational hotel investors: Future trends and implications in China

This study provides an updated outlook on the future of the investments proposed by multinational hotel corporations in China. Data were collected from secondary sources using keyword research to identify proposed new hotel developments and future trends in China. A grounded theory approach was used to analyze the data. Findings revealed that the decisions of multinational hotel groups with respect to business formats, the direction trends of investments, and the attractiveness of Chinese market are affected by the happening of mega-events, Chinese government policies, the presence of local entrepreneurs, and market potential.     

与新冠肺炎疫情相关的旅游者行为研究——回顾与反思

旅游者行为研究一直是国内外旅游学界关注的重点和热点。在全球旅游业遭遇新冠肺炎疫情带来的巨大冲击和挑战时,英文期刊上与新冠疫情相关的旅游者行为研究也与日俱增。虽然英文学界对与新冠疫情相关的旅游研究有过零星的、整体上的批判性思考,但鲜见对旅游者行为这一具体研究领域最新进展和实质贡献的讨论。基于对8种旅游类英文SSCI期刊截至2021年8月31日所载83篇论文的分析,本文回顾了与新冠疫情相关的旅游者行为研究进展,并评价了这些研究的实质贡献。从研究主题看,现有文献集中在“风险感知与出游意向”“旅游购买决策”“实际旅游中的行为与体验”和“对技术的态度”等四个方面。从研究取向看,定量研究占主导;与之相对应的是,问卷调查是主要的数据收集渠道。虽然大部分研究明确提及使用了某种或某几种理论,但主要是应用现有理论来提出所假设的变量之间的关系,或解释新冠疫情背景下新的旅游消费现象,并未对现有理论框架、概念做出重大改变。未来的研究还应该考虑运用定性方法、大数据分析技术和实验法,挖掘、识别、验证新冠疫情作为公共健康危机的独特属性以及与之关联的独特的旅游者行为和旅游消费现象,以期更好地实现概念化、理论化,并在中国特色的疫情防控实践中,更好地实现与新冠疫情有关的旅游者行为研究的本土化。     

COVID-19 and China’s Hotel Industry: Impacts,a Disaster Management Framework,and Post-Pandemic Agenda

This exploratory study reviews the overall impacts of coronavirus disease 2019 (COVID-19) pandemic on China’s hotel industry. A COVID-19 management framework is proposed to address the anti-pandemic phases, principles, and strategies. This study also suggests that COVID-19 will significantly and permanently affect four major aspects of China’s hotel industry—multi-business and multi-channels, product design and investment preference, digital and intelligent transformation, and market reshuffle.     

Use numbers not words! Communicating hotels’ cleaning programs for COVID-19 from the brand perspective

After hotels in many countries were forced to close in government-imposed lockdowns during the COVID-19 pandemic, there is an inherent need to communicate how they deal with the coronavirus to motivate guests to visit. However, lack of knowledge about how to persuasively communicate about hotels’ cleaning programs for COVID-19 can challenge the industry’s survival. We investigated how hotels that position their brand as a particular personality (sincere vs. exciting) could benefit from different communication styles (inclusion of numerical vs. verbal quantifiers) when presenting their COVID-19 cleaning procedures. Study 1 explored tourists’ central attitudinal responses toward hotels’ cleaning programs. Study 2 demonstrated that sincere hotel brands would benefit from using numerical and verbal quantifiers to communicate their cleaning policies, whereas exciting hotel brands would benefit only from numerical quantifiers. Our results invite hotel managers to use their brand personality positioning to influence tourists’ attitudes and intentions in a pandemic context.     

Trade facilitation promoted the inbound tourism efficiency in Japan

This study explores the intrinsic correlation between trade facilitation and the inbound tourism efficiency in Japan based on the data from 2011 to 2019. According to the data from JNTO, Japan's inbound tourism showed a strong dependence on the Asian market, the growth rate of inbound tourists in Europe, America and Oceania increased in recent years. The COVID-19 seriously hindered the Japan's inbound tourism development. The fixed-effect regression indicates that trade facilitation promoted inbound tourism efficiency in markets of different types. The positive effect of trade facilitation on sightseeing market was most significant in Asia. While in Europe, America and Oceania, the inbound business market benefited most from trade facilitation. Trade facilitation amplified the positive effect of Japan's air transportation capacity, international tourism income and visa-free policy on the inbound tourism efficiency, and effectively buffered the negative impact of natural disasters. With regard to the estimated results of sub-indicators of trade facilitation, the improvement of infrastructure, government efficiency, customs environment and technological level all contributed to the increase in Japan's inbound tourism efficiency.