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The significance of review articles has been proved. This type of articles is especially necessary now, when immediate actions to save an important economic sector must be taken. The present research aims to determine the impacts of the COVID-19 pandemic on one of the most important elements of tourism – the accommodation facilities, through bibliometric analysis. In order to achieve this goal, the VOSviewer software was used, and data from one of the world's largest databases of scientific production – the Web of Science, was collected. The bibliographic coupling approach was used in the bibliometric analysis. The bibliometric analysis was followed by content analysis of the most cited studies from each cluster. The effects of COVID-19 on the accommodation facilities are summarized and classified by groups. © M. Nekova.
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PurposeDrawing on the Push-Pull-Mooring model, this study sheds light on the factors that drive tourists to switch from traditional hotels to peer-to-peer accommodation (P2PA) in light of the global spread of the Covid-19 pandemic.Design/methodology/approachData have been collected from 380 participants through an online pan India survey. The data were mainly analyzed by adopting structural equation modeling.FindingsAll the three categories of push, pull and mooring factors are crucial in explaining tourists' switching intentions from hotels to P2PA. Out of all the factors, subjective norm came out to be the most significant factor while satiation (push factor) and authentic experiences (pull factor) also came out to be important indicators.Practical implicationsThe findings of this study carry implications for hoteliers as well as P2PA platform hosts. Hotels need to re-conceptualize their standard services, décor and amenities while P2PA hosts need to continue providing authentic experiences and also comply with all the Covid-19 norms.Originality/valueThe study offers a comprehensive PPM model to determine tourists' intentions to switch from hotels to P2PA. Moreover, this paper is one of the early studies to provide insights into tourists' switching intentions amidst Covid-19.
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PurposeThis study aims to investigate how the COVID-19 pandemic has impacted and changed Airbnb market in the Greater Melbourne area in terms of its temporal and spatial patterns and identify possible shifts in underlying trends in travel activities. Design/methodology/approachA panel data set of Airbnb listings in Melbourne is analysed to compare temporal patterns, spatial distribution and lengths of stay of Airbnb users before and after the COVID outbreak. FindingsThis study found that the COVID disruption did not fundamentally change the temporal cycle of the Airbnb market. Month-to-month fluctuations peaked at different levels from pre-pandemic times mainly because of lockdowns and other restrictive measures. The impact of COVID-19 disruptions on neighbourhood-level Airbnb revenues is associated with distance to CBD rather than number of COVID cases. Inner city suburbs suffered major loss during the pandemic, whereas outer suburbs gained popularity due to increased domestic travel and long stays. Long stays (28 days or more, as defined by Airbnb) were the fastest growing segment during the pandemic, which indicates the Airbnb market was adapting to increasing demand for purposes like remote working or lifestyle change. After easing of COVID-related restrictions, demand for short-term accommodation quickly recovered, but supply has not shown signs of strong recovery. Spatial distribution of post-pandemic supply recovery shows a similar spatial variation. Neighbourhoods in the inner city have not shown signs of significant recovery, whereas those in the middle and outer rings are either slowly recovering or approaching their pre-COVID levels. Practical implicationsThe COVID-19 pandemic has significantly impacted short-term rental markets and in particular the Airbnb sector during the phase of its rapid development. This paper helps inform in- and post-pandemic housing policy, market opportunity and investment decision. Originality/valueTo the best of the authors' knowledge, this is one of the first attempts to empirically examine both temporal and spatial patterns of the COVID-19 impact on Airbnb market in one of the most severely impacted major cities. It is one of the first attempts to identify shifts in underlying trends in travel based on Airbnb data.
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PurposeTaking a global perspective, this paper aims to examine the impact of COVID-19 on Airbnb booking activities through three critical perspectives - the initial Wuhan lockdown, local COVID-19 cases and local lockdowns. Design/methodology/approachUsing Airbnb reviews and cancellations as proxies for Airbnb bookings on a global scale, econometrics was used to examine the impacts of the initial Wuhan lockdown, local COVID-19 cases and local lockdowns on Airbnb bookings. FindingsThe authors find that local lockdowns result in a 57.8% fall in global booking activities. Every doubling of newly infected cases is associated with a 4.16% fall in bookings. The sensitivity of bookings to COVID-19 decreases with geographic distance to Wuhan and increases with government stringency of lockdown policies and human mobility within a market. Practical implicationsThe empirical evidence from this research can provide governments with insights into more accurate assessment of the financial loss of Airbnb hosts so that proper support can be offered based on the financial needs because of due to sudden lockdown. Originality/valueThis research contributes to new knowledge on peer-to-peer accommodation during a time of crisis and provides much needed global evidence to understand the impacts of COVID-19 on the accommodation industry.
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Purpose Trust has emerged as a crucial research topic in the sharing economy. However, scholarship on trust in sharing accommodation remains limited. By using stakeholder theory, this study aims to provide a systematic framework for integrating trust among multiple stakeholders and identify potential knowledge gaps and future research directions for trust in sharing accommodation. Design/methodology/approach The authors select papers using a combination of multiple keywords from EBSCOhost and Web of Science. The analysis includes 172 journal papers published between 2011 and 2021. The authors conduct a systematic review through thematic content analysis, and each paper is analyzed using manual coding. Findings The analysis shows that key stakeholders for trust building in sharing accommodation include consumers, hosts, platforms, residents and governments, with most studies focusing on the consumer perspective. The study integrates various trust antecedents and outcomes from the above multistakeholder. Second, this study summarizes the most commonly used theories, and more diversified theories could be applied to future research. Third, this study finds that most studies use quantitative methods, and researchers should introduce more integrated methodologies such as machine learning on a large scale. Furthermore, the current research disciplinary paradigm should be extended to multidisciplinary and interdisciplinary approaches to promote innovation in trust research. Finally, the COVID-19 pandemic has brought both challenges and opportunities to industry as well as researchers, and more institutional rather than commercial perspectives need to be addressed. Research limitations/implications The study contributes to the trust and the sharing economy literature by providing a systematic framework for integrating trust from multistakeholder perspectives. The study also points out several future research directions by combining micro and macro multistakeholder perspectives, identifying more diversified theories and methodologies and specifying multidisciplinary and interdisciplinary approaches. Originality/value The study advances knowledge by providing a systematic framework for integrating trust among multiple stakeholders and proposing future research directions for trust in sharing accommodation.
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This article aims to verify the resilience of urban tourism in the face of the COVID-19 crisis, and identify its main features, taking the city of Malaga as a reference. The methodological approach provided by the economic analysis will be used to analyze the dynamics that have been registered in the accommodation market, both conventional (hotels) and short-term rental tourist housing. The data refer to demand, supply and price indicators for the period between September 2018 and the same month in 2021. The results of the analysis show clear signs of recovery in the tourism market as of spring 2021. More specifically, the role that residents of Spain acquire in the demand for hotel accommodation is confirmed. Likewise, in the peer-to-peer market, it is confirmed that, months after the lifting of mobility restrictions, the activity levels reached before the pandemic were exceeded. On this basis, it seems pertinent to reopen and rethink the debate on the carrying capacity of cities and the advisability of regulating the tourist accommodation market.
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Purpose: Drawing on the Push-Pull-Mooring model, this study sheds light on the factors that drive tourists to switch from traditional hotels to peer-to-peer accommodation (P2PA) in light of the global spread of the Covid-19 pandemic. Design/methodology/approach: Data have been collected from 380 participants through an online pan India survey. The data were mainly analyzed by adopting structural equation modeling. Findings: All the three categories of push, pull and mooring factors are crucial in explaining tourists' switching intentions from hotels to P2PA. Out of all the factors, subjective norm came out to be the most significant factor while satiation (push factor) and authentic experiences (pull factor) also came out to be important indicators. Practical implications: The findings of this study carry implications for hoteliers as well as P2PA platform hosts. Hotels need to re-conceptualize their standard services, décor and amenities while P2PA hosts need to continue providing authentic experiences and also comply with all the Covid-19 norms. Originality/value: The study offers a comprehensive PPM model to determine tourists' intentions to switch from hotels to P2PA. Moreover, this paper is one of the early studies to provide insights into tourists' switching intentions amidst Covid-19. © 2022, Emerald Publishing Limited.
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Purpose - The aim of the paper is to assist hospitality business, operating in a sharing economy model and responding to coronavirus disease-2019 (COVID-19) crisis. It is argued that the creation of a strategy to face COVID-19 crisis should be focussed on what the guests valued most. The paper focusses on the Airbnb service, which is the leading platform in accommodation inside the sharing economy, to explore the consumer profile and analyse its motivations to use hospitality service, based on socio-demographic characteristics and user experience. Design/methodology/approach - The research uses a questionnaire survey targeting tourists who have experience using the Airbnb service. A total of 380 valid responses were analysed with statistical package programme for the social sciences (SPSS), performing a multivariate variance analyses (MANOVA) and univariate analysis (UNIANOVA), which corresponds to five of the main motivations regarding Airbnb booking. Findings - The results show a motivation increase towards the sharing economy and benefits of the sharing economy for customers between 41 and 60 years of age. It was also observed that consumers with a monthly income below the average salary level are less keen to prefer the sharing economy philosophy. Controversially, the results also show that more than 80% of the guests do not want to share the room with people they are not related to. Originality/value - The paper contributes to the understanding of consumers' behaviour by discussing the potential of the accommodation sharing model for the post-COVID recovery of the hospitality sector.
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This paper analyzes the effect the COVID-19 pandemic is having on the sharing economy. We focus on hosts’ behavior in the German shared housing market and examine hosts’ adaption to the pandemic state. Using monthly data from January 2019 until December 2020 for the city of Berlin, we conduct a probit model regression analysis and investigate the influence of several Airbnb-listing-specific factors and unemployment on the probability of renting the Airbnb accommodation. Through this big data analysis, we find that hosts switch from short-term to long-term options and rent relatively more entire apartments than shared ones during the COVID-19 pandemic compared to the pre-pandemic state. © 2021, Weissberg SRL. All rights reserved.
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PurposeAdopting Ajzen’s theory of planned behaviour theoretical framework, this paper aims to explore repurchase intentions among short-term rental users and changes in determinants of repurchase intention in the context of the COVID-19 pandemic.Design/methodology/approachData for the research was collected via a cross-country quantitative survey (N = 1,433) in five European countries: Croatia, Italy, Spain, Turkey and the UK during 2020. Trust, perceived value, authenticity and perceived risk were incorporated into the structural equation model as part of an integrated analysis of antecedents of repurchase intention.FindingsPerceived value and authenticity are the key drivers of a positive attitude to repurchase of short-term rentals even after the pandemic. The pandemic modified the role of perceived risk in determining attitude towards short-term rentals as perceived risks could negatively affect attitude and repurchase intention after COVID-19. Trust in the platform and the host became a significant determinant of repurchase intentions after the spread of COVID-19.Research limitations/implicationsThe analysis has shown the link between attitude, subjective norms, perceived behavioural control and repurchase intention, and has thus demonstrated a successful application of the theory of planned behaviour to short-term rental users.Originality/valueThe results of this study suggest a possible reconceptualisation of repurchase determinants due to the pandemic. The study offers a timely contribution to the research on the impact of the pandemic on the determinants of tourists’ repurchase intentions.
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This study investigates how peer-to-peer accommodation (P2PA) hosts in China have responded to the COVID-19 pandemic. A multi-case study approach was adopted to depict the decision-making logic of three different types of hosts-speculators, diplomats, and entrepreneurs-based on an awareness-motivation-capability (AMC) framework under COVID-19. The findings highlight the role of owner motivation (profit/sharing/entrepreneurial-driven) and capabilities, such as having a unique value proposition and linkages with other hospitality experience, under COVID-19. Meanwhile, the platform collaboration capability failed to support survival during the pandemic. Moreover, the current study indicated that, after the COVID-19, entrepreneurs will continue to innovate, diplomats' operations will remain unchanged and speculators will quit hosting. Hence, COVID-19 is an accelerator of P2P industry that reserving the hosts who embrace the original features of the P2PA sector, e.g. sharing and a focus on the experience, and eliminating the hosts who have diluted the uniqueness of the sector.