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This study aims to focus on peer-to-peer accommodation services in the sharing economy. Adopting construal level theory as the theoretical foundation, this study investigates the main and interaction effects of social and spatial distances on guest loyalty toward peer-to-peer accommodation.

This study uses a secondary source of online observational data archived on Xiaozhu, a leading peer-to-peer accommodation sharing platform in China. It consists of 2,612 observations of 1,304 unique travelers who stayed at 559 listings managed by 281 hosts in four major metropolitan areas of China over four years from August 2012 to August 2016. Non-linear binary choice panel models of probability regressions were used to estimate the effects of psychological distances (social and spatial) between hosts and guests on the likelihood of repeat purchase. The software used for the econometric analyses is STATA 14.

The results indicate that social distance negatively affects guest loyalty toward the listing hosts, while spatial distance has a positive influence on guest loyalty. The results also show significant interactions between the two psychological distance dimensions in influencing loyalty. The findings provide important insight into the influences of psychological distances on travelers’ repeat purchase behavior toward peer-to-peer accommodation providers.

This study contributes to the literature by providing empirical evidence that supports the importance of psychological distances in forming a loyal relationship between hosts and guests in the peer-to-peer accommodation sector of the sharing economy.

This study aims to identify the individual and trip characteristics that are associated with intention to use peer-to-peer accommodation, including past experience (users vs non-users), accommodation preferences, traveler personality and tripographic variables.

To compare Airbnb users and non-users, quantitative research was conducted to test for group differences. A questionnaire was designed and administered face-to-face in major tourist areas. Quota sampling was used to ensure comparable samples of Airbnb users and non-users.

While Airbnb users and non-users expressed few differences in their demographics and perceived importance of accommodation attributes, the two groups vary in their perception of Airbnb and evaluation of Airbnb compared to hotels, suggesting some positive and negative changes after experiencing Airbnb. Respondents who were more allocentric were more likely to use Airbnb. Hotels were preferred for traveling with family as well as shorter trips, while Airbnb was preferred for traveling with friends as well as longer trips.

This study identified several challenges for Airbnb and other sharing platforms, including consumers’ security concerns, potential decrease in the likelihood of repeat usage and low likelihood of using Airbnb when traveling with family.

While previous studies focused more on existing customers of peer-to-peer accommodation, this study compared users and non-users and identified key differences in their perceptions. The use of traveler personality and tripographic variables to examine intention to use Airbnb provides a unique perspective to consider Airbnb as an “allocentric destination” and the type of trips that are more compatible with the Airbnb experience.

This study aims to explore the influence of different types of cleanliness information provided on the Airbnb platform (hosts’ sanitation labels, Airbnb cleaning protocol and previous guests’ reviews) on guests’ trust and behavioral intentions.

This study uses an online scenario-based experimental design. A two-step approach was applied to discover the proposed relationships by assessing the measurement model fit and validity of the constructs with confirmatory factor analysis and testing study hypotheses with structural equation modeling.

The results demonstrate that three types of cleanliness information (i.e. provided by Airbnb’s hosts, platform and customer reviews) had statistically significant effects on customers’ trust and behavioral intentions.

The research results provide practical recommendations for Airbnb hosts and peer-to-peer accommodation platforms on using several types of textual and visual cleanliness information to influence guests’ attitudes and behavioral intentions.

This study advances knowledge by introducing new factors affecting guests’ trust and behavioral intentions in peer-to-peer accommodation settings and differentiating the effects of different sources of cleanliness information and different types of guests’ trust.

Based on text content analysis using big data, this study aims to explore differences in guest perceptions of peer-to-peer accommodations before and after COVID-19 to provide suggestions for the development of these properties in China postpandemic.

A guest perception dictionary was established by collecting Ctrip customer reviews of peer-to-peer accommodations. After data cleaning, thematic word analysis and semantic association network analysis were used to explore perceptions and thematic differences before and after COVID-19.

This research constructed a multidimensional framework of guest-perceived values for peer-to-peer accommodation in the context of COVID-19. The findings showed that the emphasis on functionality in peer-to-peer accommodation changed; perceived emotional values associated with peer-to-peer stays were more complex; perceived social values decreased, host–guest interactions were reduced and online communication became a stronger trend; tourist preferences for types of experiences changed, and people changed their destination selections; perceived conditional value was reflected in perceived risks, and the perceptions of environmental health, service and physical risks increased.

This research has constructed a multidimensional framework of tourist perceived value on the basis of peer-to-peer accommodation context and epidemic background and has thus shown the changes in tourist perceived value of peer-to-peer accommodation before and after COVID-19.

To the best of authors’ knowledge, this research constitutes the first attempt to explore the perceptual differences for peer-to-peer accommodations before and after COVID-19 based on an extensive data set of online reviews from multiple provinces of China.

This paper aims to formulate assumptions on home sharing users’ sensitivity toward sustainability in mountain areas and define the sustainability indicators that may be used to search for home-based accommodation in mountain areas.

The paper is based on a literature review of key terms: mountain tourism, peer-to-peer accommodation and sustainability indicators.

Tourists in mountain areas are more likely to be sensitive toward sustainability than in urban areas, so they are likely to expect home sharing websites to provide sustainability criteria for selecting their accommodation.

Home sharing platforms should offer to mountain tourists the possibility to search for and assess home-based accommodation using sustainability criteria.

Most studies on peer-to-peer accommodation were designed in urban areas. The authors state that in mountain areas, tourists are more sensitive toward sustainability and would therefore be more inclined to consider sustainability in their search for a home-based accommodation.

This paper aims to explore the place of disabled guests in the new world of hotel and holiday accommodation shaped by the sharing economy.

The paper uses Levitas’s (2013) Utopia as Method as a methodological tool to develop the hypothetical future scenarios, which are used to explore the place of disabled guests in peer-to-peer holiday accommodation.

Analysis of the hypothetical scenarios suggests that without state intervention, the place of disabled guests in both traditional hotels and peer-to-peer holiday accommodation is far from secure.

This is a new area and the authors’ discussion is therefore tentative in its intent.

Planners and policymakers should consult with, and take account of, the needs of disabled people and other socially excluded groups when regulating shared economy enterprises. It may be helpful to put in place broader legislation for social inclusion rather than regulate peer-to-peer platforms. Any recourse to markets as a means of resolving access issues needs also to acknowledge the limited power of socially excluded groups within both traditional and sharing economy markets.

The hypothetical scenarios discussed within this paper offer planners, policymakers and tourism stakeholders opportunities to think through the access and inclusion needs of disabled guests in the shared economy sector.

The paper extends discussion of hospitality and disability access to include shared economy approaches and the place of disabled guests in the new world of holiday accommodation shaped by the sharing economy.

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.

Focused on peer-to-peer accommodation sharing, this paper aims to investigate the effect of perceived value on the two dimensions of satisfaction (transaction- and experience-based) and continuance intention involved in using a platform featuring triadic relationships.

Survey data were collected from 392 Airbnb users and analysed using the partial least squares approach to structural equation modelling.

All dimensions of perceived value had a significant effect on transaction-based satisfaction. Symbolic value did not have a significant effect on satisfaction. Transaction- and experience-based satisfaction had a significant effect on continuance intention.

The findings highlight the differential effects of dimensions of perceived value for understanding customer satisfaction and continuance intention in the peer-to-peer accommodation context. The study focused on only one sector of the sharing economy, namely, the peer-to-peer accommodation sector.

The study offers fresh insights on the nexus between value perceptions and continuance intention in the context of peer-to-peer accommodation.

本文以点对点住宿共享为重点, 研究了感知价值对使用具有三元关系的平台所涉及的满意度（交易和体验）和持续使用意图两个维度的影响。

从 392 名 Airbnb 用户处收集调查数据, 并使用结构方程建模的偏最小二乘法 (PLS-SEM) 进行分析。

感知价值的所有维度对基于交易的满意度都有显着影响。象征价值对满意度没有显着影响。基于交易和体验的满意度对持续意向有显着影响。

研究结果强调了感知价值维度对理解点对点住宿环境中的客户满意度和持续意图的不同影响。该研究仅关注共享经济的一个部门, 即点对点住宿部门。

该研究对点对点住宿环境下的价值感知和持续意图之间的关系提供了新的见解。

Positive reviews can enrich the favorable impression of peer-to-peer accommodation products, and seizing this impression is vital for hosts. This study aims to focus on hosts’ response strategies to positive reviews and their effects.

This study categorizes hosts’ response strategies to positive reviews into cordial and tailoring responses. This study empirically analyzes the influence of these response strategies on subsequent review volumes using 1,283 valid listings and zero-inflation negative binomial regression models.

While hosts use cordial responses more, tailoring responses are more likely to drive subsequent reviews. In addition, when the host chooses entirely shared accommodation or sets a high price, the facilitating effect of the two response strategies on subsequent reviews weakens.

This study enriches the knowledge system on managerial responses by proposing two specific response strategies to positive reviews that can be adopted by peer-to-peer accommodation hosts and by finding the promoting impact of these strategies on subsequent review volumes.

This study recommends that peer-to-peer accommodation hosts adopt cordial and tailoring responses to encourage subsequent consumer reviewing behavior.

As an early attempt to explore hosts’ responses to positive reviews and their impacts on subsequent review volumes, this study provides valuable insights into further research on positive review response strategies in the digital space.

Drawing on social exchange theory, this study clarifies the roles of authenticity, interactivity and involvement in predicting customer engagement (CE) and, ultimately, customer loyalty towards an online peer-to-peer accommodation platform. In addition, the study explores the effect of interactivity in increasing authenticity.

Data were collected through an online questionnaire of a sample of Italian tourists who had previously booked a service on Airbnb. The analyses were conducted by adopting partial least squares structural equation modelling.

The model has high power in predicting customer loyalty to an online peer-to-peer accommodation platform. Specifically, involvement is the primary predictor of CE and customer loyalty. Authenticity and interactivity also have a significant and positive effect both on CE and customer loyalty. In addition, CE partially mediates the relationship between authenticity, interactivity and involvement and customer loyalty. Finally, interactivity has a significant positive effect on authenticity.

The results encourage hospitality service providers to invest in the creation (and co-creation) of authentic experiences to increase CE and customer loyalty. Hospitality managers can also enhance CE by increasing involvement and interaction with customers through various touchpoints (online and offline) in different moments of the customer journey.

This study proposes an original model to predict customer loyalty to peer-to-peer hospitality platforms. The findings shed new light on the drivers of CE and provide empirical support for the mediating effect of CE. The study also contributes to the literature on authenticity by demonstrating the positive effect of interactivity on authenticity.