Search results

Building upon uncertainty reduction theory, this work aims to explore how four uncertainty reduction factors (i.e. online property review, online textual description, online visual description and online instant messenger) mitigate property quality uncertainty and property fit uncertainty, which further influence Airbnb use intention.

This work tests the proposed research model using a structural equation modeling approach with 335 Airbnb users.

The findings reveal that the online property review, online textual description, online visual description and online instant messenger can efficiently mitigate property quality uncertainty and property fit uncertainty, which ultimately influence Airbnb use intention.

This study provides useful insights on mitigating property uncertainty in the peer-to-peer (P2P) accommodation platforms. Researchers are encouraged to investigate the boundary conditions that influence the effectiveness of uncertainty reduction strategies in alleviating property uncertainty.

P2P accommodation service providers are suggested to take actionable uncertainty reduction strategies to mitigate property uncertainty in online P2P accommodation platforms.

First, this study advances research on P2P accommodation by identifying two key types of property uncertainty, namely, property quality uncertainty and property fit uncertainty. Second, this study extends research on P2P accommodation by proposing contextualized passive, active and interactive uncertainty reduction strategies in mitigating property uncertainty. Third, this study extends uncertainty reduction theory to the P2P accommodation context. Fourth, this study enriches uncertainty reduction theory by verifying the mediating effects of property quality uncertainty and property fit uncertainty.

Listing popularity indicates the public’s interest in a listing on peer-to-peer (P2P) accommodation platforms. Although listing popularity is crucial to the survival and development of the P2P accommodation platform, this issue has received limited attention in the tourism management discipline. Drawing upon the heuristic-systematic model and uncertainty reduction theory, this study aims to examine the impacts of host and property attributes on listing popularity.

The model was empirically validated using a data set of 6,828 listings on a popular P2P accommodation platform called Airbnb. This study chooses a hierarchical regression analysis to perform the model validation.

The findings reveal that host self-disclosure, host reputation and host identity verification are key host attributes in promoting listing popularity. Meanwhile, property visual description, property photo verification and property visual appeal are important property attributes in facilitating listing popularity.

The study adds useful insights on understanding on determinants of listing popularity. Future researchers are recommended to empirically verify the underlying psychological mechanism by which host attributes and property attributes influence listing popularity.

The P2P accommodation platform should promote the listing popularity by taking advantage of the host attributes and providing property attributes.

First, to the best of the authors’ knowledge, this study is one of the few studies to explore the formation of the listing popularity. Second, this study examines how the host and property attributes promote the listing popularity through the heuristic and systematic information processing modes.

Airbnb is the peer-to-peer (P2P) accommodation platform that has attracted researchers’ attention during the past decade. The purpose of this paper attempts to illustrate the scarce research on P2P accommodation platforms other than Airbnb and to highlight the research gaps concerning these platforms.

This study starts by presenting a literature review on Airbnb based on several review papers about P2P accommodation sharing and conducts a quantitative comparative analysis between existing literature on Airbnb and other P2P accommodation platforms in Web of Science (WoS) using a keyword search.

Findings suggest that the literature regarding P2P accommodation platforms other than Airbnb is limited and that little is known about their possible impact on the collaborative tourism ecosystem. The analysis also suggests further research on P2P accommodation platforms to move on from an Airbnb-centric view and include other types of P2P accommodation platforms.

This paper compares the most common topics studied regarding Airbnb and other P2P accommodation platforms, highlighting the existence of other for-profit and non-profit accommodation platforms. It proposes new lines of research on different types of platforms such as the niche P2P accommodation platforms.

This paper aims to provide a critical synthesis of the interface of corporate social responsibility (CSR) and peer-to-peer (P2P) accommodation to offer insights that contribute to theory and practice of CSR in hospitality.

By using key CSR models, this paper reflects on the nexus between CSR and P2P accommodation (with a focus on Airbnb) to identify opportunities and challenges with regard to CSR implementation in P2P accommodation and, thereby, progress the research agenda on the topic.

This contribution will hopefully enable policymakers to improve the accountability of stakeholders related to P2P accommodation in terms of the sector’s impacts on local communities while contributing to the progression of the research agenda on CSR in hospitality.

Because this contribution is meant to be a “critical reflection paper”, the main purpose is to flesh out a commentary offering recommendations on how to account for CSR in relation to P2P accommodation and primarily Airbnb. As such, this paper aims to prompt future empirical research on the topic. Naturally, the major downside of this type of paper is the lack of an empirical approach.

This paper advances theory on hospitality-related CSR, enabling policymakers to improve the stakeholders’ accountability related to P2P accommodation in terms of the sector’s impacts on local communities.

Despite the increasing importance of CSR in hospitality, minimal academic attention has been paid insofar to CSR in the P2P accommodation sector. This inattention is surprising given the rapid expansion of the sector which, in turn, has imposed significant pressures on local communities.

To better understand what inhibits people from participating in collaborative consumption, this paper aims to develop research models of users and non-users to examine the relationship between perceived risks and intentions to use peer-to-peer (P2P) accommodation. Moreover, differences of risk perceptions and behavioral intentions between P2P accommodation users and non-users were identified.

The method of convenience sampling was used to collect data. Excluding the invalid questionnaires, 520 were kept for further analysis. In this paper, SPSS and partial least squares (PLS) were used to analyze the data.

The findings highlighted the important role of perceived risks in determining tourists’ intentions to use P2P accommodation. The results showed that non-users have higher perceived risks in regards to all four risk dimensions (psychological risk, physical risk, performance risk and social risk), and they also have significantly lower behavioral intentions to use P2P accommodation than the users. For users, only the psychological risk has significant negative effects on behavioral intentions, while for non-users, both psychological and physical risks are important inhibitors.

This paper contributes to a better understanding of the antecedents that influence consumers’ participation in collaborative consumption in the P2P accommodation domain. Second, it extends the literature on perceived risk by discussing users and non-users in this market. Finally, this research provides insights into the P2P accommodation market in China, which enables online travel platforms to develop targeted marketing strategies.

为更好了解协同消费的顾客参与，本论文构建了使用者和非使用者模型来检验其感知风险和使用P2P住宿行为意向的关系。此外，本论文也试图探讨使用者和非使用者在感知风险和行为意向方面的差异。

研究样本采取方便抽样方式，共回收520份有效问卷。本论文采用SPSS和偏最小二乘法（PLS）分析数据。

研究结果凸显了感知风险对影响游客使用P2P住宿的重要作用。P2P 住宿非使用者不仅有更高的感知风险（表现在四个风险维度上：心理风险，身体风险，性能风险和社会风险），而且比使用者有更低的使用意向。对于使用者来说，只有心理风险对行为意向有显著地影响作用；对于非使用者，心理风险和身体风险都是影响行为意向的因素。

本论文对于阻碍P2P住宿的参与因素进行了深入探讨。其次，本论文通过讨论使用者和非使用者的差异拓展了感知风险相关研究。最后，本论文研究了P2P住宿业在中国的市场情况，为在线旅行平台开发目标市场策略提供了启示。

P2P 住宿，Airbnb, 感知风险，使用者和非使用者，行为意向

Focusing on the supply side of peer-to-peer (P2P) accommodation service sector, this study identifies the emerging types of micro-enterprise operators in the growing Chinese market, and investigate their respective operational risks and coping strategies.

A qualitative study was adopted to explore the micro-enterprise in peer-to-peer accommodation in China. Twenty semi-structured interviews were conducted to explore the operators' behaviors in the service sector.

Based on the types of property ownership and forms of interaction, four groups of operators were identified, i.e. hospitable sharers, remote sharers, roommates and butlers. This study uncovers their operational risk factors (safety, cost, legal and social, psychological) and respective coping strategies.

Most prior studies on P2P accommodation sector are conducted from the demand side about customer behaviors. This study not only enhances the understanding of the hosts in the sharing economy by developing a novel typology of operators, but also provides insights into the operational behaviors on an individual operator perspective.

This study aims to elicit the preferences of potential travelers for different property listings' attributes (online review number, positive valence rate of reviews and discount strategy) when selecting hotels and peer-to-peer (P2P) accommodation sharing on online booking platforms.

A discrete choice experiment (DCE) was conducted with 291 respondents with accommodation needs. They were asked to choose between pairs of listings.

The authors found that when booking accommodation online, complex discount strategies were not determinant both in selecting hotels and P2P accommodations. Positive valence rate of reviews has a higher impact on the selection of traditional hotels than P2P accommodations, while the number of online reviews has a higher impact on the selection of P2P accommodations than traditional hotels. The authors further discuss the effect of each attribute on online accommodation selection in terms of price ranges of the property listings.

The findings provide suggestions for platform operators and product/service providers to improve their marketing strategies and optimize their management efforts.

To the best of the authors’ knowledge, this is one of the first studies that investigate the role of property listings' attributes on the selections between hotels and P2P accommodations. The findings from this research study could be generalized to other online platforms and electronic commerce-related transactions.

COVID-19 affects the peer-to-peer (P2P) accommodation industry. With regard to prospect theory, individuals’ negative emotions, such as institutional distrust, are easily evoked and impede consumption intention in an environment of permeating uncertainty and risks. While existing research indicates the negative effects of institutional distrust, scant research has explored its antecedents and intervention mechanisms. This study thus aims to unveil the influencing factors and explore mitigating mechanisms of customers’ institutional distrust of P2P accommodations.

Online reviews data were used to identify the underlying critical issues. The authors developed a model to depict how institutional distrust is formed under the boundary condition of subjective norm by the results. The model was verified using a questionnaire survey. Finally, in-depth semi-structured interviews were conducted to ensure its robustness.

The external environment and internal platform effectiveness are two critical aspects affecting institutional distrust of P2P accommodations. The external environment influences institutional distrust through perceived threat, explaining the formation mechanism of customers’ institutional distrust through customers’ internal psychology. Furthermore, the authors found subjective norm moderating the effect of perceived threat on customers’ institutional distrust.

This is one of the first studies, to the best of the authors’ knowledge, to explore institutional distrust of P2P accommodations after COVID-19. The finding contributes to studies on P2P accommodation by uncovering the contingent role of subjective norm in influencing customers’ institutional distrust.

This is a pioneering study that explores the antecedents and mitigating mechanisms of institutional distrust of P2P accommodations during the new normal of COVID-19.

To promote the success of peer-to-peer accommodation, this study examines the effects of online host–guest interaction as well as the interaction's boundary conditions of listing price and reputation on listing popularity.

Using 330,686 data collected from Airbnb in the United States of America, the authors provide empirical evidence to answer whether social-oriented self-presentation and response rate influence listing popularity from the perspective of social exchange theory (SET). In addition, the authors investigate how these two kinds of online host–guest interactions work with listing price and reputation to influence listing popularity.

The results reveal the positive association between online host–guest interaction and listing popularity. Notably, the authors find that listing price strengthens but listing reputation weakens the positive effects of online host–guest interactions on listing popularity in peer-to-peer accommodation.

This study is the first attempt to adopt SET to explain the importance of online host–guest interactions in influencing listing popularity as well as examine the moderating role of listing price and reputation on the above relationship.

This study aims to testify the effects of green marketing on peer-to-peer (P2P) accommodation consumers’ repurchase intention and positive word-of-mouth (WOM) towards P2P accommodation platforms through the mediation of trust and consumer identification.

A questionnaire survey was applied to collect data from a sample of 488 consumers in China who had used P2P accommodation platforms in the past six months. Partial least squares structural equation modelling was used to analyse the data.

The study found that consumers’ perception of green marketing orientation of P2P accommodation platforms significantly increased consumer trust in the platform and consumer identification with the platform, which in turn each positively influenced repurchase intention and positive WOM to the platform. Furthermore, consumer trust had a positive effect on consumer identification and both trust and identification mediated the relationship between green marketing and repurchase intention and that between green marketing and positive WOM.

The findings of this study provide P2P accommodation platform operators with important insights to apply green marketing and focus on consumer trust and identification in sustaining their business and coping with the intense market competition.

This study contributes to better understanding of the impact of green business practices on consumers in sharing economy and offers practical implications on sustainable P2P accommodation practices.