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The purpose of this paper is to review the extant literature on Airbnb – one of the most significant recent innovations in the tourism sector – to assess the research progress that has been accomplished to date.

Numerous journal databases were searched, and 132 peer-reviewed journal articles from various disciplines were reviewed. Key attributes of each paper were recorded, and a content analysis was undertaken.

A survey of the literature found that the majority of Airbnb research has been published quite recently, often in hospitality/tourism journals, and the research has been conducted primarily by researchers in the USA/Canada and Europe. Based on the content analysis, the papers were divided into six thematic categories – Airbnb guests, Airbnb hosts, Airbnb supply and its impacts on destinations, Airbnb regulation, Airbnb’s impacts on the tourism sector and the Airbnb company. Consistent findings have begun to emerge on several important topics, including guests’ motivations and the geographical dispersion of listings. However, many research gaps remain, so numerous suggestions for future research are provided.

By reviewing a large body of literature on a fairly novel and timely topic, this research provides a concise summary of Airbnb knowledge that will assist industry practitioners as they adapt to the recent rapid emergence of Airbnb.

This is the first paper to review the extant literature specifically about Airbnb.

本论文旨在审视过去文献对Airbnb的研究-旅游业中最显著发明之一-以衡量迄今为止的研究发展历程。

经过大量文献搜索，共132份同行评审型期刊文章，来自不同研究领域，被作者审阅。每个文章的关键词被摘抄出来，本论文采用内容分析方法来分析文本。

经过文献综述，作者发现大多数Airbnb研究都发表在近几年，往往发表在酒店/旅游期刊。期刊文章作者集中在美国/加拿大和欧洲。基于内容分析结果，发表的期刊文章被分类在六个主题-Airbnb顾客、Airbnb服务提供主、Airbnb供应商、以及其对旅游目的地的影响，Airbnb规范、Airbnb对旅游行业的影响、以及Airbnb公司。研究结果还归纳出几项重要的话题，包括顾客动机和民宿地理分布。然而，大多数研究空缺仍然存在，因此，本论文总结出多项未来研究方向。

本论文通过审阅大量较新和及时的文献，对Airbnb的相关知识进行了精准梳理，这个研究结果对从业者适应Airbnb较新较快发展的现象，有着实践意义。

本论文是首篇审阅有关Aribnb文献的文章。

Airbnb、文献综述、共享经济、P2P、短期出租

The purpose of this paper is to examine the degree to which budget and mid-range hoteliers perceive Airbnb as a threat, and the extent to which they are actively responding to the peer-to-peer accommodation business model.

The study draws on qualitative data collected through 19 semi-structured interviews with budget and midrange hotel managers in Istanbul, Turkey, covering how they view Airbnb and have responded to Airbnb’s rise.

The results suggest that the managers believed they were losing some business to Airbnb, yet they generally neither perceive Airbnb as a serious threat nor were they generally taking concrete strategic measures to respond to Airbnb. Regulatory lobbying against Airbnb and exploiting Airbnb as a new distribution platform were the most common responses, and cutting rate also was commonly seen as a potential competitive strategy.

The study responds to calls by several scholars for more research addressing the strategies adopted by traditional lodging facilities to protect their market share from Airbnb. This study does so with a specific focus on the budget and midrange hotel segments, which some studies suggest may be particularly vulnerable to Airbnb competition. Also, the limited research addressing Airbnb’s perceived impacts on traditional lodging has been conducted in mature economies, so the topic remains largely neglected in maturing economies like Turkey.

The purpose of this paper is to describe how the growing presence of Airbnb rentals, resulting partly from tourists’ increasing desire for transformative travel experiences, is ironically much more transformative for the host communities than the tourists themselves.

This paper provides a conceptual analysis linking the motivations of Airbnb guests with the impacts of Airbnb on host communities. It uses an experience economy lens, and is based on a review of the academic literature and of media stories related to Airbnb.

Many tourists are increasingly seeking transformative travel experiences, and Airbnb commonly will be appealing to such tourists. However, the capacity of Airbnb lodging to independently foster personal transformation is questionable. On the other hand, there is little doubt that Airbnb and its guests are producing significant transformations in host communities.

This paper contributes toward understandings of Airbnb and its impacts on destinations around the world. It, for the first time, links Airbnb guests’ travel motivations with Airbnb’s community impacts, and in doing so demonstrates parallels with past critiques of alternative tourism. This paper is also one of the first to examine Airbnb from the perspective of the experience economy.

This study aimed to investigate whether increasing the social presence within an Airbnb lodging environment could nudge guests toward altruistic cleaning behaviors.

The study was based around a theoretical framework combining the social-market versus money-market relationship model, nudge theory and social presence theory. A series of three field experiments were conducted, in which social presence was manipulated to test its impact on guest cleaning behaviors prior to departure.

The experimental results confirmed the underlying hypothesis that an Airbnb listing’s enhanced social presence can subtly induce guests to help clean their rental units prior to departure.

This study is the first to examine behavioral nudging in an Airbnb context. It is also one of the first field experiments involving Airbnb. The study findings offer clear theoretical and practical implications.

The purpose of this paper is to provide a comprehensive analysis of dynamic pricing by Airbnb hosts.

This study uses attribute and sales information from 39,837 Airbnb listings and hotel data from 1,025 hotels across five markets to test different hypotheses which explore the extent to which Airbnb hosts use dynamic pricing and how their pricing strategies compare to those of hotels.

Airbnb is a unique and complex platform in terms of dynamic pricing where hosts make limited use of dynamic pricing strategies, especially as compared to hotels. Notwithstanding their limited use, hosts who own listings in high-demand leisure markets, manage entire places, manage more listings and have more experience vary prices the most.

This study identified a great need for Airbnb to encourage dynamic pricing among its hosts, but also warned of the potential perils of dynamic pricing in the sharing economy context. The findings also demonstrated challenges for hotel managers interested in actionable information related to Airbnb as a competitor.

This is the first Airbnb study to use a comprehensive set of data over a continuous period in multiple markets to look at a number of listing and host factors and determine their relation with dynamic pricing strategies.

The purpose of the study was to examine travelers’ attitudinal and behavioral loyalty to the product type of peer-to-peer (P2P) accommodations (as opposed to a brand).

P2P accommodations’ hosts provided contact information for their guests from the prior two years who were contacted to participate in the study. Respondents answered questions about their travel party, trip purpose, factors leading to their P2P accommodation stay and attitudinal and behavioral loyalty around P2P lodging.

Autonomous motivators (dislike of big hotel chains and experience authenticity) and controlled motivators (location and cooking facilities) were positively related to attitudinal loyalty to P2P accommodations. Price predicted behavioral loyalty in the form of repeat purchase behavior and attitudinal loyalty did not.

Limitations of this study include the representativeness and size of the sample, the generalizability of the results, cross-sectional nature of the data and respondents’ recall ability. Despite a favorable attitude toward P2P accommodations, only price accounted for travelers’ repeated choice of P2P accommodations over hotels.

While attitudinal loyalty was explained by the dislike of big hotel chains and experience authenticity in P2P accommodations, it did not translate into repeated purchase behavior. Behavioral loyalty to P2P seems all about price, which begs the question of whether price is the most meaningful competitive lever in the battle between conventional hotels and P2P.

Hotel brand loyalty refers to consumer choice of brand within the conventional hotel product type. This study presents the first effort to understand consumer loyalty to a lodging product type, specifically P2P accommodations, and not a particular brand.

The purpose of this study was to investigate travelers’ preferences for peer-to-peer (P2P) accommodations or hotels when traveling for leisure or business purposes given the rise of P2P accommodations in the form of Airbnb, Vacation Rentals by Owners (VRBO) One Fine Stay, etc.

VRBO hosts in Denver, Colorado, USA provided contact information for 788 travelers who stayed with them over the prior three years. These travelers received an email survey and the opportunity to be entered in a drawing for one of three US$250 gift cards.

P2P usage was driven by leisure travel. The most influential factors in the choice of P2P over hotel were price, location, party size, dwelling size and trip length. When choosing a hotel for business travel, the influential factors were location, safety and security, price and knowing what one will receive in the way of facility and services.

The external validity of the findings is limited as the study was conducted in one US city using travelers of only one P2P accommodations platform.

Hotels may want to leverage their loyalty programs and stress the importance of safety and security when traveling as a means of competing with P2P accommodations.

Given limited empirical research on P2P accommodations, this study provides an informative first look at the preferences and behaviors of travelers using P2P accommodations and points to a growing loyalty to P2P accommodations versus hotels in the leisure segment.

The purpose of this study is to examine the effects of host attributes and travelers’ frequency of past stays and their interaction on the likelihood of repeat purchase of home-sharing services at both the host and listing levels.

A combination of econometrics analyses using a large-scale, granular online observational data set collected from a home-sharing platform was performed.

Travelers exhibit salient loyalty to home-sharing services. At the host level, host attributes including acceptance rate and listing capacity positively affect travelers’ likelihood of repeat purchase; such effects diminish as travelers’ frequency of past stays with a host/listing increases. At the listing level, confirmation efficiency and acceptance rate are critical, and travelers’ frequency of past stays matters.

Responding to the call for more research on customer loyalty of sharing economy, this study instantiated on a home-sharing website in China and adds a unique perspective to the research domain, but its findings may not be generalized in other settings.

This study identifies the factors affecting customers’ repeat purchase behaviors at both the host and listing levels, allowing the hosts, webmasters of home-sharing websites and even hoteliers to advance specific tactics to promote repeat purchase among travelers.

Loyalty was measured with real-time internet-enabled observational data about travelers’ actual repeat purchase behavior on a home-sharing website, rather than assessing consumers’ behavioral intentions through the conventional survey method. Two specific levels of customer loyalty were analyzed, including the ones towards a service provider (host) and a service product (listing).

This paper aims to identify a wide array of utility-based attributes of Airbnb listings and measures the effects of these attributes on consumers’ valuation of Airbnb listings.

A hedonic price model was developed to test the effects of a group of utility-based attributes on the price of Airbnb listings, including the characteristics of Airbnb listings, attributes of hosts, reputation of listings and market competition. The authors examined attributes as they relate to the price of Airbnb listings and, therefore, estimated consumers’ willingness to pay for the specific attributes. The model was tested by using a dataset of 5,779 Airbnb listings managed by 4,602 hosts in 41 census tracts of Austin, Texas in the USA over a period from Airbnb’s launch in Texas up until November 2015.

The authors found that the functional characteristics of Airbnb listings were significantly associated to the price of the listings, and that three of five behavioral attributes of hosts were statistically significant. However, the effect of reputation of listings on the price of Airbnb listings was weak.

This study inspires what they call a factor-endowment valuation of Airbnb listings. It shows that the intrinsic attributes that an Airbnb listing endows are the primary source of consumer utilities, and thus consumer valuation of the listing is grounded on its functionality as an accommodation. This conclusion can shed light on the examination of competition between Airbnb and hotel accommodations that are built on the same or similar intrinsic attributes.