The construction of home feeling by Airbnb guests in the sharing economy: A semantics perspective

Although the literature of peer-to-peer accommodation is increasingly recognizing the importance of home feeling, little has been done to theorize the construction of home feeling and its impacts on Airbnb guests’ future intention. To fill in this gap, this study systematically unpacked how Airbnb guests construct the feeling of home. A total of 42,085 review comments containing the feeling of home from three major cities in the USA were analyzed from a semantics perspective. Based on our findings we conceptualize home feeling as a PASS_h process, which contains multiple dimensions: physical and spatial, social, and affective, coupled with hospitality. Essentially, the home feeling with the interaction of these dimensions fulfills the daily hybrid needs of the guests.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.     

TO SHARE OR TO EXCHANGE: An analysis of the sharing economy characteristics of Airbnb and Fairbnb.coop

Many organizations seek to position themselves as part of the sharing economy, due to positive conceptual connotations; however, in reality, some may more closely represent the exchange rather than the sharing economy. This research analyses the extent to which Airbnb and Fairbnb.coop represent the sharing economy by examining the characteristics of the sharing economy. We utilize a Sharing Index (SI) and a Sharing Economy Continuum (SEC) to measure each organization’s degree of sharing and exchange. The analysis suggests that Fairbnb.coop is a stronger example of the sharing economy than Airbnb. This study offers a more robust characterization of the sharing economy and offers tools to help businesses assess and improve their business practices to more accurately align with the true sharing economy.     

Exploring the effect of Airbnb hosts' attachment and psychological ownership in the sharing economy

Previous research on the sharing economy has not typically focused on organizational structure and its management in spite of the fact that the essence of recent peer-to-peer business practices is the collaboration of online platforms and sharable assets owned by market peers. This paper critically examines a theoretical model to explore how these market partners engage in this platform organization and how their perceptions of attachment and ownership are established within the new organizational structure. The results of structural equation modeling applied to 224 Airbnb hosts indicate that attachment to a platform firm plays a vital role in achieving a sense of psychological ownership that ultimately influences citizenship behaviors toward the organization as well as toward peer hosts. The results suggest that the newly formed structure should acknowledge an establishing mechanism of attachment and psychological ownership in partnering with individual service providers in its operational management.     

Price determinants of sharing economy based accommodation rental: A study of listings from 33 cities on Airbnb.com

The advent of the “sharing economy” challenges not only the business of hotel industry but also the theories and models based on the conventional hotel industry. A key dimension of the hospitality industry is pricing. The aim of this study is to identify the price determinants of sharing economy based accommodation offers in the digital marketplace. Specifically, a sample of 180,533 accommodation rental offers in 33 cities listed on Airbnb.com is investigated using ordinary least squares and quantile regression analysis. Twenty-five explanatory variables in five categories (host attributes, site and property attributes, amenities and services, rental rules, and online review ratings) are explored for the intricacies of the relationships between pricing and its determinants.     

Core and supplemental elements of hospitality in the sharing economy: Insights from semantic and tonal cues in Airbnb property listings

Advances in peer-to-peer sharing, made popular by platforms like Airbnb, have altered previous conceptualizations of the lodging hospitality product. This study performs semantic and tonal analyses on a large-scale dataset collected from Airbnb. Our results support a concept of lodging hospitality that comprises core products and services, supplemental customer care, and a third factor we term ‘host sharing.’ Furthermore, the study offers insight into the topics and rhetorical tactics currently defining lodging hospitality marketing on the Airbnb platform. These findings can be used to provide guidance for Airbnb hosts to provide suitable information in their listings.     

Pricing in the sharing economy: a hedonic pricing model applied to Airbnb listings

ABSTRACT

This paper examines the impact of a variety of variables on the rates published for Airbnb listings in five large metropolitan areas in Canada. The researchers applied a hedonic pricing model to 15,716 Airbnb listings. As expected, the results show that physical characteristics, location, and host characteristics significantly impact price. Interestingly, more reviews are associated with a drop in price. This information is useful to hosts who are forming a pricing strategy for their listings as well as for Airbnb, who needs to support them. The paper raises important questions about pricing in the sharing economy and suggests avenues for future research in this area.     

Analysing reviews in the Web 2.0: Small and medium hotels in Portugal

This study presents a characterisation of online reviews for small and medium hotels (SMH) in Portugal. We collected and analysed 1500 online reviews from 50 SMH. The findings show that room, staff and location were the concepts most frequently appeared in the reviews, with cleanliness, friendliness, helpfulness, and centrality of position the terms most frequently used to qualify the concepts. This study points out the main features which SMH managers should prioritize.     

The Airbnb paradox: Positive employment effects in the hospitality industry

The purpose of this study is to examine the extent to which Airbnb supply affects employment in the hospitality, tourism, and leisure industries. Accordingly, we analyzed the effects of Airbnb supply on various sectors in the hospitality, tourism, and leisure industries in 12 major metropolitan statistical areas in the United States for the period between July-2008 and February-2018. The results showed that Airbnb supply positively affects employment in all sectors of the hospitality, tourism, and leisure industries. The magnitudes of these effects are not only statistically but also economically significant. Although prior studies have showed that Airbnb has an adverse impact on hotels' financial performance measures, our results show that employment in the hotel sector increases with increased Airbnb listings. While this outcome might be contradictory to the general conjecture, such evidence calls for a comprehensive investigation of Airbnb's overall economic impact. Research and practical implications are further discussed.     

Using segmentation to compete in the age of the sharing economy: Testing a core-periphery framework

Airbnb has emerged as a credible competitive threat to the hotel industry. Consequently, hotel brands are having to rethink the experiences they provide to customer in an increasingly competitive environment. Despite these trends in the industry, experience-related research that examines and informs these developments remains under-represented in the hospitality and tourism literature. The present study offers a systematic approach to examine the potential differences in experiential consumption in the accommodations industry. Using a multiple-group analysis approach, it examines the moderating effects of individual characteristics and situational factors on the nature and dynamics of experiential consumption in the accommodations industry. The findings of the study culminate in the core-periphery framework of the hospitality consumption experience that can provide a relevant theoretical lens for future research into the different sectors and types of experiences within the hospitality and tourism industry. The study also outlines important implications for the hotel industry’s strategic experience design initiatives, from the standpoint of product development, the segmentation, targeting and positioning (STP) process, and marketing communications.     

The effects of Airbnb on hotel performance: Evidence from cities beyond the United States

Although Airbnb's impact on hotels has been quantified for major hotel markets in the United States, these effects have not been quantified in international hotel markets. Accordingly, the purpose of this study is to examine the effects of Airbnb listings on key hotel performance metrics in an international context. In particular, we examine the effects of Airbnb listings on hotel revenue per available room (RevPAR), average daily rate (ADR), and occupancy rate (OCC) in major international hotel markets, namely London, Paris, Sydney and Tokyo. The results show that Airbnb listings in these major cities have been increasing more than 100% year over year and that the effect of Airbnb on hotel RevPAR and OCC is negative and statistically significant. In particular, a 1% increase in Airbnb listings decreases hotel RevPAR by between 0.016% and 0.031% in these hotel markets. The implications of these findings for destinations and hoteliers are discussed.     

Investigating the whole picture: Comparing the effects of Airbnb supply and hotel supply on hotel performance across the United States

This study examines and compares the extent to which Airbnb and hotel supply affect key hotel performance measures in the United States. The results show that although both Airbnb and hotel supply adversely affect hotel revenues (i.e., RevPAR), the magnitude of the impact of hotel supply on RevPAR is much larger than that of Airbnb. Airbnb adversely affects hotel room prices (i.e., ADR), however; it does not affect occupancy rates (i.e., OCC). Yet, increasing hotel supply negatively affects OCC but not ADR. The results from the state-level analyses further showed that the negative effects of Airbnb and hotel supply on RevPAR, ADR and OCC persist only in states with high hotel supply. Analyzing the joint effects of Airbnb and hotel supply on hotel performance in a manner that is both geographically-comprehensive and spatially-meaningful, this study provides a more complete and nuanced understanding on the economic dynamics of the accommodation industry.     

A pathway to consumer forgiveness in the sharing economy: The role of relationship norms

The emergence of peer-to-peer accommodations has revolutionized the hospitality industry. Yet, research on peer-to-peer service failures and consumer forgiveness remains scant. This paper shows that relationship type—whether communal ("Airbnb host") or exchange ("hotel")—influences consumer forgiveness in a post-recovery context. Across five studies, this research demonstrates how peer providers (focusing on communal norms) versus conventional providers (focusing on exchange norms) influence consumer forgiveness and their responses to service recovery efforts. Our findings indicate that focusing on social service recovery is particularly effective for Airbnb hosts. These findings have important implications for crafting effective service recovery strategies based on the type of accommodation provider-customer relationship. Finally, our findings can also help peer-to-peer and conventional hospitality providers alleviate consumers’ negative responses to service failures.     

The eruption of Airbnb in tourist cities: Comparing spatial patterns of hotels and peer-to-peer accommodation in Barcelona

In recent years, what has become known as collaborative consumption has undergone rapid expansion through peer-to-peer (P2P) platforms. In the field of tourism, a particularly notable example is that of Airbnb. This article analyses the spatial patterns of Airbnb in Barcelona and compares them with hotels and sightseeing spots. New sources of data, such as Airbnb listings and geolocated photographs are used. Analysis of bivariate spatial autocorrelation reveals a close spatial relationship between Airbnb and hotels, with a marked centre-periphery pattern, although Airbnb predominates around the city's main hotel axis and hotels predominate in some peripheral areas of the city. Another interesting finding is that Airbnb capitalises more on the advantages of proximity to the city's main tourist attractions than does the hotel sector. Multiple regression analysis shows that the factors explaining location are also different for hotels and Airbnb. Finally, it was possible to detect those parts of the city that have seen the greatest increase in pressure from tourism related to Airbnb's recent expansion.     

The impact of online reviews on hotel booking intentions and perception of trust

A growing reliance on the Internet as an information source when making choices about tourism products raises the need for more research into electronic word of mouth. Within a hotel context, this study explores the role of four key factors that influence perceptions of trust and consumer choice. An experimental design is used to investigate four independent variables: the target of the review (core or interpersonal); overall valence of a set of reviews (positive or negative); framing of reviews (what comes first: negative or positive information); and whether or not a consumer generated numerical rating is provided together with the written text. Consumers seem to be more influenced by early negative information, especially when the overall set of reviews is negative. However, positively framed information together with numerical rating details increases both booking intentions and consumer trust. The results suggest that consumers tend to rely on easy-to-process information, when evaluating a hotel based upon reviews. Higher levels of trust are also evident when a positively framed set of reviews focused on interpersonal service.     

eWOM effects on hotel booking intentions,attitudes, trust,and website perceptions

The objective of the study is to examine the effect of comments generated on Facebook on the choice of a hotel. More specifically, it focuses on the study of the influence of comments written by Facebook friends on the intentions of booking a hotel, the trust in the hotel, the attitude toward the hotel, and the perception of its website. The research also examines the moderator role of Internet users’ trust in those comments on these relations. To test these effects, an experimental design was created by manipulating the valence of the comments (positive vs. negative). A survey among 800 university students has confirmed all the hypotheses of the study on the influence of comments generated on Facebook in the users’ decision-making process.     

Responding to negative online reviews: The effects of hotel responses on customer inferences of trust and concern

Our research examines the perceptions and evaluations of prospective customers toward an online negative review and any accompanying hotel response. The study explores two main issues: whether the presence (versus absence) of an organizational response to negative customer reviews affects the inferences potential consumers draw about the target business, and which aspects of responses affect their impressions. We test the effects of four variables associated with a response: source of response, voice of responder, speed of response, and action frame on two outcomes variables (i.e., customer concern and trust inferences). The provision of an online response (versus no response) enhanced inferences that potential consumers draw regarding the business's trustworthiness and the extent to which it cares about its customers. Using a human voice and a timely response yielded favorable customer inferences. Inferences did not vary with response source or action frame. Implications are drawn for effective management of negative online reviews.     

The evolution of trust in Airbnb: A case of home rental

Airbnb, a leader of P2P accommodation markets, has acknowledged that “trust is what makes Airbnb work” and has implemented several trust indicators over the years: reputation system, impression formation, and certification. We evaluate the changes in these indicators over time: 1. the modification of the reputation system, 2. the removal of hosts’ photos from the main search screen, and 3. the introduction of the Superhost program. We find that the change of the rating system was associated with a small, yet significant, reduction in ratings, that the removal of the hosts’ photos might have eliminated the price premium of trustworthy images, and that Superhost certification involves a price premium, but does not seem to compensate for established reputation.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.     

Effect of crowd wisdom on pricing in the asset-based sharing platform: An attribute substitution perspective

Technological advancement has led to the emergence of online platforms fueled by the sharing economy across various industries. This study focuses on Airbnb - a specific asset-based sharing platform in the hospitality industry. Applying the theory of attribute substitution, we explore the wisdom of the crowd manifested in online reviews, in impacting pricing. We found that online review valence and volume have a positive association with room price. Depending on the crowdedness of the location this association is stronger or weaker. Customers care more about room popularity (volume) in a certain area when the fast system of decision-making is triggered. When, however, the slow system is triggered, customers consider the crime rate of a location (valence). Findings show how environmental stimuli and customer reviews decide room price - a variable that was decided traditionally by companies (e.g., hotels). The research furthers our understanding on asset-based platforms in the sharing economy.     

Measuring perceived risk in sharing economy: A classical test theory and item response theory approach

Sharing economy is considered as a disruptive innovation in the Internet age and inevitably brings huge concerns and risks for tourists. This study aims to develop a multidimensional scale to understanding the tourist risk perception in the sharing economy (TPRSE). First, focus group interviews, and online text analysis were conducted to elicit the initial items. Second, pilot survey involving a sample size of 218 was conducted, confirmatory factor analysis (CFA), and item response theory (IRT) were applied to refine this preliminary item pool. Third, the TPRSE scale was further validated using the CFA and IRT (n = 745). The TPRSE scale was successfully developed and validated, which including five dimensions of financial risk, social risk, privacy risk, performance risk and physical risk. This study advances the theories of risk perception in the context of sharing economy and provides management strategies to reduce perceived risks in Airbnb accommodations.     

40 years of sharing economy research: An intellectual and cognitive structures analysis

This study aims to analyze the intellectual and cognitive structures of the sharing economy as a field of research. Adopting an integrated bibliometric approach of citation, co-citation, and co-word analysis, this study analyses 941 articles published on Web of Science from 1978 to 2019. Findings reveal that despite there being a latent concentration in citations distribution, the ascending and descending influence patterns discovered over time indicate a dynamic flow and healthy growth of the field. The analysis of the intellectual structure identifies four main areas of research, with hospitality and tourism being the most developed, and the journals about hospitality being the preferred channel for research into the sharing economy. Finally, for the cognitive structure analysis, in-depth strategic diagrams, thematic evolution, and trend analysis disclose some research gaps. Thus, we contribute to the sharing economy literature by inductively synthesizing, and organizing SE research, and by proposing future research directions.