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Extant research provides ample evidence that Airbnb has an adverse impact on hotel revenues and that a majority of Airbnb hosts offer multiple listings on the platform. Arguably, multi-unit host listings are the primary driving force for the associated decreases in hotel revenues. To test this proposition, this study examines the extent to which single- and multi-unit host Airbnb host listings have differing effects on hotel revenues. The results show that the adverse impact of Airbnb supply on hotel revenues was mainly driven by decreases in hotel prices rather than decreases in hotel demand. Contrary to expectations, single-unit host listings exerted greater downward pricing pressure on hotels than multi-unit host listings. These effects were consistently observed across hotel segments, with economy-scale hotels experiencing substitution effects in addition to pricing pressure. The findings have significant implications for researchers and stakeholders impacted by the sharing economy in the lodging industry. [ABSTRACT FROM AUTHOR]

Airbnb has gained popularity as an alternative to hotels, with the authenticity of the consumption experience being a critical differentiating factor. However, the hospitality and tourism literature has not fully explored how Airbnb and traditional hotel brands are facilitating authentic travel experiences and the impact of these experiences on brand love and brand loyalty. In this study, we explore three elements of consumption authenticity and examine their how they interact in the context of an accommodation brand. Second, we compare the components of consumption authenticity across hotels and Airbnb, and examine their relative impact on brand love for these two segments of the accommodations industry. We found that hotels and Airbnb draw upon different sources of authenticity to create brand-loving customers. Our results indicated that Airbnb leverages brand, existential, and intrapersonal authenticity in creating brand-loving and brand-loyal customers, while hotels utilize only brand authenticity. Thus, the keys to creating customers who love and are loyal to the brand differ between hotels and Airbnb. Implications for theory and practice are discussed, and areas of future research are identified. [ABSTRACT FROM AUTHOR]

The popularity of Airbnb has significantly affected the hotel industry. One of Airbnb's fundamental value propositions is the concept of authenticity, but the hospitality and tourism literature is scant regarding what constitutes an authentic consumption experience in the lodging industry and how such authenticity generates brand loyalty. This study identifies two distinct pathways through which an authentic consumption experience influences brand loyalty for the leisure traveler: a brand pathway and an experience pathway. We find that hotels and Airbnb leverage these pathways differently to generate brand loyalty. These findings have implications for hotels and Airbnb in terms of guest loyalty. • Authenticity of the consumption experience a key differentiator for sharing economy providers in accommodations. • Little research in the hospitality literature on the components and consequences of authentic consumption experiences. • Study develops a model of consumption authenticity and identifies, operationalizes, and measures its components. • Identifies two distinct pathways through which consumption authenticity influences brand loyalty. • Hotels and Airbnb leverage the pathways differently in generating brand loyalty. [ABSTRACT FROM AUTHOR]

Highlights • This study provides a reciprocal perspective of social interactions between peer service providers and peer consumers in a P2P accommodation business model. • Findings show that hosts are more concerned about disclosing personal information online than guests are. Hosts have more positive perception of their rapport with guests, although they consider guests to be less trustworthy and communicative. • Findings reveal that hosts consider social interactions with guests more holistically, and their perceptions of the interactions are correlated with all outcome variables (encounter satisfaction, intention to spread WOM, and reuse the P2P service). • Findings also show that the effect of online self-disclosure on rapport and trust-building appears to be more salient than that of face-to-face interactions in the P2P context. Abstract 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. [ABSTRACT FROM AUTHOR]

The adverse impact of the recent pandemic on the lodging industry has largely been based on anecdotal evidence. The extent to which different parts of this broad industry were individually affected by the COVID-19 pandemic also remains unclear. The purpose of this study is to investigate the effects of the COVID-19 pandemic in the various sectors of the lodging industry to identify patterns that may not be consistent with the idea that the entire hospitality industry was negatively affected by the pandemic. The results show that while the COVID-19 pandemic did have a generally negative effect on lodging demand, hotel room and peer-to-peer accommodation property bookings were not affected equally. Importantly, it appears that these variations were attributable, at least in part, to state-level variations in policy that made travel and hospitality services relatively more (or less) difficult for consumers to obtain. Theoretical and managerial implications are extensively discussed. • The pandemic adversely affected the lodging demand in general. • However, the effect is not uniform across various lodging segments. • Midscale hotels are the most resilient against the COVID-19 pandemic. • Airbnb properties are not affected by the pandemic regardless of the restrictions. • State-level regulations and restrictions exacerbates the adverse impacts on hotels. [ABSTRACT FROM AUTHOR]

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. • The effect of Airbnb and hotel supply on hotel performance might not be uniform across states. • It is unclear the extent to which hotel development have an impact on hotel revenues. • The magnitude of the effect of hotel supply on hotel RevPAR is much larger than that of Airbnb. • Airbnb supply reduces hoteliers' pricing power while hotel supply reduces individual hotel-level demand. [ABSTRACT FROM AUTHOR]

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. • The effect of Airbnb on hotels has not been quantified in international hotel markets. • We examine the effects of Airbnb listings on RevPAR, ADR, OCC in London, Paris, Sydney and Tokyo. • Airbnb listings in these major cities have been increasing more than 100% year over year. • A 1% increase in Airbnb listings decreases hotel RevPAR by between 0.016% and 0.031% in these hotel markets. [ABSTRACT FROM AUTHOR]