Hosts’ online affinities and their impacts on the number of online reviews on peer-to-peer platforms

Different from traditional hotels, hosts' affinity is an essential feature of homestays. This study uncovers how Airbnb hosts demonstrate their affinity online through the data from 114,310 listings, and examines the relationship between hosts' affinity and the number of reviews, as well as the moderating role of hosts' affinity in the associations among sub-ratings, host listings count, and the number of reviews. The findings indicate a positive link between hosts' affinity and the number of reviews. Guests tend to assign higher overall scores to homestays with poor performance but high affinity, and may alter their homestay attribute requirements in future reservation decisions. Hosts' affinity from guest reviews has greater direct and moderating effects on the number of reviews than hosts' self-statements. Interestingly, hosts' affinity from guest reviews can reduce the guests' requirements for homestay attributes of multiple listings. Meanwhile, hosts’ affinity displayed by host self-statements exhibits the opposite moderating effects.     

Peer-to-peer accommodation experience and guest actual recommendations: A novel mixed-method approach

Obtaining recommendations from guests is critical for Airbnb hosts to thrive in the peer-to-peer accommodation business. By extracting the dominant aspects of the Airbnb experience and the guests' sentiment ratings in online comments, this study examines the impact of the aspects and sentiment on guest actual recommendations. A novel mixed-method was adopted to analyse the online reviews of Airbnb guests in Los Angeles, USA. The text-mining results reveal that hosts, location, and amenities are the dominant aspects of the guests' Airbnb experience. Results show that the guests' sentiment ratings for hosts and amenities have significant impacts on the guests' recommendations, while location only influences the private-room guests' recommendations. This study contributes to the extant literature by offering an innovative methodological approach to building the link between experience aspects and guest actual recommendations.     

Effects of location on Airbnb apartment pricing in Málaga

The relatively recent social movement known as the “sharing economy” is becoming increasingly visible in online peer-to-peer platforms. One such platform is Airbnb; an accommodation marketplace which provides access to tourist accommodation. These platforms are having an important social and economic impact on tourist destinations such as Málaga, Spain. This paper presents a spatial econometric hedonic model that explains the pricing strategy of Airbnb tourist apartments in Málaga using factors such as host, guest, structural characteristics, and location. In relation to locational factors, the model in this study confirms the impact of spatial spillover effects, accessibility to certain amenities, traffic noise, walkability, and the ethnicity of residents in the neighborhood where the listing is located.     

Be a “Superhost”: The importance of badge systems for peer-to-peer rental accommodations

Many sharing-economy websites like Airbnb that offer vacation-rental options for travelers are very popular. However, few studies targeting the vacation-rental industry have investigated online reviews. To narrow this gap, this study focuses mainly on the gamification design developed by Airbnb that awards a “Superhost” badge to hosts who receive good reviews and observes how this can impact an accommodation's review volume and ratings. All available information regarding Airbnb accommodation offered in Hong Kong was retrieved from Airbnb's website. We then constructed a negative binomial model and a Tobit model with different independent variables and controlled a set of variables relating to accommodation characteristics. The results show that an accommodation with the “Superhost” badge is more likely to receive reviews and higher ratings. In addition, guests are willing to spend more on “Superhost” accommodations. Based on our findings, we present implications for research and host practice.     

Enabling people with impairments to use Airbnb

Paid peer-to-peer accommodation networks, including Airbnb, have been accused of excluding people with impairments. This study analyses host and guest posts on the Airbnb hosting community to (1) reveal key barriers preventing people with impairments from fully participating in peer-to-peer accommodation trading, and (2) identify solutions to overcoming these barriers, using as theoretical framework the social model of disability. The key conclusion is that we may be witnessing a fundamental shift in the nature of barriers: as the growing peer-to-peer accommodation sector increases the quantity and variability of accommodation options, the primary challenge is no longer a lack of suitable accommodation (physical barrier), but the identification of suitable accommodation (informational barrier). Informational barriers are potentially easier to overcome.     

A Lefebvrian analysis of Airbnb space

This paper draws from Lefebvre's spatial triad theory in examining Airbnb space, contributing to knowledge on how space discourses are constructed and in turn internalised in host and guest practices. The study identifies tensions in host-guest-platform relations, illustrating attempts to professionalise and standardise hospitality practices. We conceptualise Airbnb as a space of multiple meanings that reflects the transitionary nature of contemporary hospitality wherein notions, roles and practices are redefined. Conclusively, this paper advocates further research on hospitality's spatial dimensions to uncover the perplexed relations, inherent inequalities and potential opportunities characterising postmodern tourism.     

Benefits of authenticity: Post-failure loyalty in the sharing economy

Across five studies, this research reveals that the nature of the accommodation provider influences customers' post-failure loyalty. We propose a conceptual model that integrates perceived authenticity, social interaction, and positive emotions as primary determinants of post-failure loyalty in the sharing economy context. This article extends previous research by contrasting the impact of perceived authenticity on post-failure loyalty towards Airbnb (host, platform) and hotels. Our findings suggest that customers' post-failure emotional and behavioral responses depend on the accommodation provider type. The finding that authenticity and social interaction drive post-failure loyalty has important implications for managers of Airbnb properties and hotels. Finally, our findings provide new insights into customer perceptions of various service recovery strategies (e.g., apology, compensation) based on the accommodation provider type.     

Understanding the impact of host facial characteristics on Airbnb pricing: Integrating facial image analytics into tourism research

People rapidly and subconsciously process information from facial images. On sharing economy platforms, facial cues can provide a useful supplement to other information provided by reputation systems. Previous small-scale, rater-informed studies examining trust and attractiveness based on facial features on Airbnb found mixed support for impacts on pricing. We re-examine their impact using deep learning to classify host faces for an extensive data set of Airbnb accommodation in 10 US cities (n = 78,215). Together, trust and attractiveness contribute to almost a 5% increase in prices for Airbnb accommodation. We also test Gray's theory of motivation via the examination of pricing for different types of accommodation, finding that trust is more important in situations of smaller accommodation shared with strangers. The paper concludes with limitations and implications for research and practice.     

Host–guest authentication of intangible cultural heritage: a literature review and conceptual model

ABSTRACT

Cultural tourism and intangible cultural heritage (ICH) play a key role in tourism worldwide, and are especially important for communities in developing countries, due to the demand for authentic experiences. This article provides a review of existing literature on the authenticity and authentication of ICH. The review reveals scholarly inquiry has evolved from external-expert ‘cool’ authentication to direct host–guest on-site or ‘hot’ authentication whereby tourists participate in the process of determining authenticity. Further, existing models for authentication of ICH have focused only on either a guest’s or host’s perspectives with little attention to the inevitable mutual interaction of the host and guest in the authentication of ICH. Mutual authentication can enhance the tourist experience and improve community empowerment. This paper develops a conceptual model of the mutual (host–guest) authentication of ICH, incorporating both hosts’ and tourists’ perspectives. The model has application in ICH based tourism and emphasizes power relationships between the host and guest, and community empowerment across political, social, psychological and economic domains. Future research is needed to test and validate this conceptual model.     

Spanning across the boundary of Airbnb host community: a network perspective

The success of Airbnb has not only provided people with an alternative way of managing their living spaces but also created a rapidly growing number of Airbnb host communities. Guided by boundary spanning theory, this study examines how Airbnb host online communities evolve through novel organizational forms. Data for this study were collected from an online Airbnb host community from which two stages of analysis were performed. These included social network analysis and content analysis. The findings indicate that the online community functions as an informal specialized sub-unit of Airbnb and that hosts’ roles in the organization involve a number of boundary spanning aspects. The research contributes to an evolving understanding of hosts in the peer-to-peer (P2P) accommodation literature as well as extending the theory of boundary spanning in its application to the sharing economy context.     

Destination Images Penetrated by Mega-events: A Behaviorist Study of the 2008 Beijing Olympics

While the penetration effect of mega-events on the hosts' destination images is important, its research has rather been insufficient. This study aims to fill the gap by initiating an in-depth investigation of this effect. Guided by behaviorism rather than introspectionism and psychometrics adopted by previous researchers, the study interviewed 66 tourists visiting Beijing city – the host of the 2008 Summer Olympics – before, during and after the event. The results showed that: (1) elements of the Olympics had penetrated into the core and semi-core of Beijing's destination image; (2) the penetration did vary according to different event elements and event stages; and (3) the penetration was jointly determined by the stimuli the tourists received during the surveys and their complex mental mechanisms (i.e. cognitive matching and attitudinal preference). This research has strengthened the evidence for the penetration effect, explained it systematically and expanded the methodological choices in studying similar topics.     

What makes Airbnb likeable? Exploring the nexus between service attractiveness,country image,perceived authenticity and experience from a social exchange theory perspective within an emerging economy context

As a result of the growth of the notions of collaborative consumption and sharing economy in the tourism industry, this paper applies social exchange theory to investigate how the Airbnb platform influences the Airbnb experience and authenticity, which might lead consumers to like Airbnb and influence their behavioural patterns. By recruiting 466 tourists who had stayed in Airbnb accommodation in Istanbul, Turkey via travel-related Telegram, Twitter, travel blogs, and Facebook groups, this study revealed the importance of the platform and its features in enhancing service attractiveness, perceived authenticity and experience. Furthermore, the results revealed that visitors’ experiences have an influence on Airbnb likability, where Airbnb likability influences their intention to re-visit and to recommend. Significant implications for tourism planning, management and researchers are highlighted.     

Sources of distrust: Airbnb guests' perspectives

The present study explores sources of distrust in the Airbnb context. The study focuses on Airbnb customers' negative reviews posted in English on Trustpilot's website. The search for posts was employed with the keyword ‘trust’ to find online narratives from customers who had negative experiences of trust with Airbnb. Of the 2733 online reviews screened, the study concentrated on 216 negative reviews. The data analysis followed the grounded theory approach, which resulted in two themes that reflect the sources of distrust: Airbnb's poor customer service and the hosts' unpleasant behaviour. The managerial implications are that Airbnb should invest additional resources into minimising customers' negative experiences by focusing on trust-based relationships and maintaining quality in its core service elements. When customers report their complaints, their concerns should be addressed with prompt apologies, positive actions, and a willingness to compensate these customers to neutralise their distrust in the company.     

When empathy prevents negative reviewing behavior

Previous research has found that peer-to-peer platforms have overly positive reviews. Guided by Construal Level Theory, this research investigates the relationship between social distance, empathy, and tourists’ intention to leave negative online reviews. The first study is a qualitative analysis which compares peer-to-peer settings (i.e., Airbnb) to institutional ones (i.e., Booking.com), and explores whether social closeness hinders tourists’ willingness to provide negative online reviews to express their poor experiences. The second and third study are laboratory studies which show that the mechanism behind reviewing biases is the activation of empathy.This research offers practical implications for both traditional hospitality players, on how to activate empathy, and online platforms operators, on how to increase the reliability of their reputation systems.This article also launches the Annals of Tourism Research Curated Collection on Peer-to-peer accommodation networks, a special selection of research in this field.     

Peer-to-peer interactions: Perspectives of Airbnb guests and hosts

In peer-to-peer (P2P) accommodation settings such as Airbnb, social interactions between peers are distinctively different from those between guests and employees in conventional lodging establishments. This study focuses on a reciprocal aspect of social interactions in P2P accommodations and aims to: 1) explore how guests and hosts perceive online and face-to-face interactions between them and 2) investigate the association between P2P interactions and some outcome variables (encounter satisfaction, word-of-mouth intention, and continuous intention to use) based on the roles of guest and host. A total of 503 responses from an online research panel were analyzed. The results show that guests perceive overall interaction experiences more positively than do hosts. Moreover, guests and hosts place weight on different interaction factors that contribute to their satisfaction and behavioral intentions. This study sheds light on the reciprocal interactions between guests and hosts, providing important theoretical and practical implications for the P2P lodging experience.     

The evolution of ‘Airbnb-tourism’: Demand-side dynamics around international use of peer-to-peer accommodation in Australia

This paper investigates the evolution of Airbnb and other peer-to-peer accommodation use by international visitors in Australia over 12 quarters, from 2015 to 2017. It applies a dynamic logistic regression to investigate how user characteristics associated with peer-to-peer accommodations evolve over time. This study contributes to understanding the development of consumption patterns around the Airbnb phenomenon. It is also the first paper to investigate the consumer dynamism in the peer-to-peer accommodation sector beyond Airbnb. Findings indicate that Airbnb consumption has evolved, showing patterns of convergence and ‘normalisation’, supported by a growing Asian participation and increasing regional stays. This dynamism is not shared by other platforms, which suggests peer-to-peer accommodation is becoming a single-platform story rather than a thriving broader accommodation-category.This article also launches the Annals of Tourism Research Curated Collection on Peer-to-peer accommodation networks, a special selection of research in this field.     

Experiencing P2P accommodations: Anecdotes from Chinese customers

This study explores the key dimensions and attributes of Chinese customers’ experiences with peer-to-peer (P2P) accommodations through Airbnb in China. Thirty-four in-depth interviews were conducted with Airbnb customers. Results suggest that seven dimensions underpin the customer experience with P2P accommodations: physical utility, sensorial experience, core service, guest-host relationship, sense of security, social interaction, and local touch. This indicates that unlike traditional commercial hotels, P2P accommodations appeal to customers to a larger extent for their social and cultural characteristics. Implications are provided for stakeholders, including P2P accommodation practitioners and users, to co-create experiential value.     

Modeling Airbnb demand to New York City while employing spatial panel data at the listing level

Using spatial panel data comprising a cross section of 1,461 continuously active Airbnb listings obtained from AirDNA, as well as time series data from NYC and Company and the OECD covering the time period September 2014 to June 2016, the present study quantifies own price, cross price, and income elasticities of Airbnb demand to New York City within an empirical tourism demand framework. The particular goal of the study is to establish whether the relationship between Airbnb and the traditional accommodation industry is of a substitutional or of a complementary nature. Employing a one-way fixed-effects spatial Durbin model, it can be concluded that demand is price-inelastic for Airbnb accommodation in New York City, which is a luxury good, and that the city's traditional accommodation industry as well as neighboring Airbnb listings are substitutes for the investigated Airbnb listings. The estimation results are robust against several alternative specifications of the regression equation.     

Tourism and the refugee crisis in Greece: Perceptions and decision-making of accommodation providers

This paper focuses on the tourism impacts of the 2015–16 refugee crisis in Greece. It examines the implications of the related publicity for the perception of Greece and the expected reaction of inbound tourists; the way refugees are regarded from a security and cultural aspect; the interaction between refugees and host communities; and the decisions made by the Greek tourism accommodation sector to face the crisis. Using fuzzy-set Qualitative Comparative Analysis the paper employs a nationwide survey of 811 tourism accommodation managers. The results reveal three configurations explaining the decisions of respondents characterised by refugee-centric orientation; the emphasis on the visitors-locals nexus; and the host communities' behavioural impact on tourism. The paper also compares asymmetric with symmetric analysis highlighting the suitability of the former when dealing with complexity. The modelling exercise also steps forward from fit to predictive validity. The findings contribute to both managerial and methodological aspects of tourism.     

Stakeholders’ views of travelers’ choice of Airbnb

This study investigated the views of travelers’ choices of informal accommodations, Airbnb in Hong Kong from the perspectives of three stakeholders. A qualitative approach was applied, both interviews and focus group discussions were conducted. A total of 69 participants shared their views on why users choose Airbnb over traditional hotels. The findings highlighted that hoteliers and Airbnb users presented different rankings on the determinants of accommodation choice. The implications of the destination image and the population density were discussed. The findings of this study can serve as a reference for any city/country where has a similar cultural background and population density.