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In recent years, some peer-to-peer (P2P) service sharing platforms have improved their service quality by setting an entry quality threshold for service providers. Considering consumers' heterogeneous preferences for service quality and commission rate, it is worth studying how to select the commission rate contract for a P2P platform under a predetermined entry quality threshold for service providers.

In this study, the platform's profit-maximizing model is constructed under two proposed contracts: unilateral commission rate contract and bilateral commission rate contract. The optimal entry quality threshold and the optimal commission rate are obtained. This study also explores the impacts of cross-side network externality and service price on a platform's optimal decisions and social welfare.

Results show that it is always advantageous for the platform to adopt the bilateral commission rate contract, which is closely related to the strength of cross-side network externality, service price and quality sensitivity coefficient. Under certain conditions, adopting the unilateral commission rate contract can reduce platform profit and service provider surplus, and improve consumer surplus and social welfare.

This study analyzes the unilateral commission rate contract and the bilateral commission rate contract of the platform, and discusses which contract is beneficial to the platform, consumers and service providers. In addition, this study provides a basis for the operation decision of a P2P service sharing platform and the pricing decision of service providers.

This paper aims to help hosts or service providers of sharing economy-based accommodation (SEA) to attract new customers and retain existing customers by exploring the antecedents and outcomes of customers’ participation intention.

A questionnaire-based empirical study was conducted to explore the proposed relationships in SEA. Partial least squares modeling with SmartPLS was used to estimate the model and interpret the results.

The study shows that personal factors (utilitarian and hedonic motivation) positively influence customers’ participation intention. The relationship between environmental stimuli (perceived information fit-to-task and perceived visual appeal) and participation intention is negatively moderated by hedonic motivation. Furthermore, the results suggest a positive effect of participation intention on customer engagement behavior and the partial mediating role of experience evaluation.

This paper provides industry practitioners of SEA with valuable insights on attracting new customers and retaining regular customers. First, they can distinguish customers in terms of motivation and provide information based on their requirements. Second, they can encourage customers to evaluate their experience and provide feedback, which would help in promoting the accommodation and service and building a long-term and harmonious relationship with the customers.

This study first investigates the interaction effect of personal motivation and environmental stimuli on participation intention in SEA. It further examines the influence of participation intention on customer engagement behavior and the mediating role of experience evaluation.

本论文旨在帮助SEA(共享经济住宿)的民宿老板或服务提供者, 通过探索顾客参与和契合的影响因子和反应变量, 来吸引新顾客以及保留老顾客。

本论文采用问卷形式实际调研, 探索SEA中的各种假设关系。本论文采用SmartPLS软件, 使用PLS分析法来检验模型以及展示分析结果。

本论文结果表明, 个人因素（功利与享乐需求）正向影响顾客参与。环境因素（感知信息适合和感知视觉吸引）与参与意愿之间被享乐需求负向调节。此外, 结果还表明参与意愿对于顾客契合行为有着正向作用, 以及体验评价的部分中介效应。

本论文为SEA企业从业人员提供如何吸引新顾客以及留住老顾客的宝贵见解。首先, 顾客根据需求和基于他们的需求所提供的信息可进行区分。第二, 企业主应该鼓励顾客评价他们的体验和提供反馈, 从而帮助提高住宿服务以及建立与顾客长期和谐的关系。

本论文首先调研了个人需求和环境刺激对SEA参与意愿的相互作用。其次, 本论文还检验了参与意愿对于顾客契合行为的作用, 以及体验评价的中介效应。

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.

Self-presentation has emerged as a pivotal marketing strategy for service providers seeking to craft virtual images in the peer-to-peer (P2P) accommodation sector. However, the literature lacks an understanding of conversational self-presentation, which offers more informal and personal communication.

Drawing upon social interaction theory and uncertainty reduction theory, this study explores the impact of conversational self-presentation and its interplay with space sharing and review ratings on customer purchases.

Utilizing the fixed effects model on a panel dataset comprising 498,817 observations from Airbnb, we discover a positive association between conversational self-presentation and customer purchases. Furthermore, our analysis reveals that space sharing reinforces this positive effect, while review ratings tend to diminish it. A deeper mechanism analysis indicates that perceived authenticity plays a mediating role in the relationship between conversational self-presentation and customer purchases.

This study highlights the importance of conversational communication in enhancing host–guest relationships under information asymmetry. However, the proposed model can be extended to other accommodation-sharing platforms in various regions, identifying whether cultural differences exist in explaining the importance of conversational self-presentation.

Marketers are suggested to build a harmonious customer–brand relationship and achieve superior performance through effective online communication.

This study adds valuable insights to the literature about self-presentation, social interaction and customer behavior by revealing the significance of conversational self-presentation in driving the growth of P2P accommodation businesses.

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.

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.

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.

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.

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.

With the prevalence of the sharing economy phenomenon, there are an increasing number of hosts on Airbnb who manage more than one listing. Managing more listings likely makes hosts more seasoned in terms of serving guests, but it may undermine host quality due to hosts’ constrained capability. This paper aims to examine the effects of host quality attributes and the number of listings per host on the reservation performance of these listings.

Using a large-scale but granular data set of 5,805 active listings of 4,608 Airbnb hosts in Austin, Texas, this study estimates the effects of host attributes (host quality and listing quantity) on the performance of the hosts’ Airbnb listings through a blend of regression models.

This study evidences that host quality attributes significantly influence listing performance through cue-based trust. In addition, this study finds a “trade-off” between host quality and the quantity of their listings. As the number of listings managed by a host increases, the performance effects of host quality diminish.

The business implications of this study include the suggestion that sharing economy businesses such as Airbnb should sustain service quality through incentivizing hosts to improve host quality while balancing the quantity of listings managed.

This study contributes to the literature through its meaningful theoretical extension in the sharing economy context and unique data-driven insights enabled by an analytical approach. It addresses the critical but less researched topic of host quality and listing quantity and generates important practical business and policy implications.

This study aims to conceptualize the potential stimuli and consequences of perceived yuanfen in the accommodation service encounter by interpreting how Chinese customers perceive yuanfen during their stay in accommodations.

Online accommodation reviews containing yuanfen perception were interpreted using a grounded theory approach. Group interviews were conducted to verify the interpretations.

Positive outcome-generated emotional accommodation experiences (e.g. happiness) can elicit perceived yuanfen, which then evokes customers’ feelings of gratitude, emotional attachment to an accommodation and memorable accommodation experiences. Also, perceived yuanfen facilitates customers’ tolerance of service failures and promotes customers’ intention to stay longer at, recommend and revisit the accommodation.

This study contributes to the literature on accommodation experiences, loyalty, word-of-mouth and service recovery. Future research can explore the interventions that trigger Chinese customers’ perceived yuanfen during accommodation.

This study informs practitioners of the importance of perceived yuanfen in enhancing accommodation experiences and service recovery. Moreover, the conceptualized characteristics and stimuli of perceived yuanfen offer possible guidelines for practitioners on how to stimulate customers’ yuanfen perception.

This study fills the gap of how perceived yuanfen functions in the service encounters in accommodations.

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.

This study aims to conduct a critical review of the research on the sharing economy to identify its key intellectual foundations and their evolution and offers thematic and methodological recommendations for future research to advance the domain.

A tri-method approach using bibliometric (co-citation) analysis, thematic content analysis and a quantitative systematic literature review was conducted on sharing economy research in hospitality and tourism journals, up to and including May 2020.

The findings from the three methods were coherent and provide a clear picture of the fact that while research on the sharing economy in hospitality and tourism has achieved significant depth, the breadth of the understanding of this area remains somewhat limited. Each of the three periods of research on the sharing economy identified in the study were marked by a focus on specific thematic areas, with largely Western-situated researchers demonstrating limited theoretical engagement and using a limited range of methods and perspectives (disciplinary, stakeholders and sectors) to examine these themes.

Recommendations for future thematic research opportunities are provided using a multi-level perspective. The present review does not include research that incorporates the impacts of COVID-19, which has significantly disrupted the hospitality and tourism industry and is the focus of current research in the field. However, the review represents the largest and most comprehensive assessment of the state of research on the sharing economy prior to COVID-19, and, as such, can serve as a valuable baseline for future reviews of sharing economy research during and after the pandemic.

In contrast with previous literature reviews, the present review is comprehensive in its scope, methodology and temporal coverage of sharing economy research. It also examines the evolution of research on the topic, enabling a more nuanced identification of gaps and future thematic and methodological research opportunities.

This paper aims to explore two research questions. The first focuses on the main methodological characteristics of previous studies in the field of price and revenue research in terms of commercial peer-to-peer accommodation platforms (P2P APs). The second compares the 33 articles and identifies the convergent and divergent findings. The literature review outlines some future research avenues.

This paper is a literature review that explore the price and revenue determinants in the field of P2P APs (such as Airbnb). The methodology shows how the sample was defined and is based on three steps: selection of papers, sample selection, and coding. The research was carried out in March 2020 and generated an initial sample composed of roughly 3,000 articles. A two-stage inclusion/exclusion process was applied to select the final sample, which includes 33 articles.

The empirical findings report the main antecedents of price and revenue as well as the methodological domains of the analyzed papers. Focusing on determinants, six blocks of variables were identified. The listing variables (48%), host characteristics (18%), location (12%), guest review (11%), destination characteristics (11%) and external comparison (1%). For each block, convergent and divergent findings are illustrated.

The main limitations of this study relate to the criteria used in selecting the sample and the manual coding activity. This last decision (manual coding activity) was based on the limited number of papers available and the wide spectrum of variables used.

The practical implications are many, and they include a greater awareness of the variables that influence price and revenue as well as the impact that these variables could have on rates. Furthermore, managers interested in analyzing specific topics or variables can find analytical support in the information reported in the appendices.

The evidence provided is useful both for scholars considering further research in this field and for practitioners seeking to define pricing policies. Some future research avenues have been outlined, including new topics for development and methodological advancements.