共查询到20条相似文献，搜索用时 15 毫秒
1.
2.
The “sharing” phenomenon represents one of the hottest trends in the hotel and tourism industry. As the number of academic papers in this field is growing, now appears to be an appropriate time to take stock of the research. This article contributes to filling this gap by illustrating the state of peer-to-peer accommodation platforms (P2P APs) and identifying useful future research avenues. The paper is structured around two research questions: What is the state of the literature investigating P2P APs? What are some promising future research areas concerning P2P APs? This study proposes eight topics, while the literature review includes 189 published papers. After classifying the findings, this paper presents and discusses some pitfalls, as well as suggests implications for future research, while it also outlines specific research opportunities that are particularly suited for each of the eight topics. 相似文献
3.
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. 相似文献
4.
Accommodation accounts for one of the biggest expenses while traveling, and deciding where to stay is often confusing and time-consuming. Fortunately, travelers have more options than ever before because of the substantial growth of the peer-to-peer (P2P) short-term rentals in the sharing economy. Designing a user-friendly system that considers travelers’ preferences in choosing the right accommodation can enhance customer satisfaction and increase profitability. We propose a dynamic decision support system based on the theory of multi-criteria decision making to assist travelers in personalizing their preferences and finding quality accommodations in the dominant P2P market that aligns with those preferences. We use the fuzzy best-worst method to measure the intensity of the user’s preferences and the fuzzy technique for order of preference by similarity to the ideal solution (TOPSIS) to score and evaluate alternative P2P rental properties. We present a case study in the P2P rental accommodations industry to demonstrate the applicability of the method proposed in this study. 相似文献
5.
To better understand the behavioral characteristics of consumers in the sharing economy, this study examines factors that influence guests’ satisfaction with a peer-to-peer (P2P) accommodation and their intention to use it again for future trips. Based on an online survey of 644 travelers living in the United States, guest satisfaction was identified as being influenced by factors of enjoyment, monetary benefits (value), and accommodation amenities. Furthermore, it was found that future intention to use P2P accommodation was again determined by enjoyment and value. By differentiating guests based on their chosen types of accommodation, the analysis revealed that social benefits influence guest satisfaction for those staying in a private room that involved cohabitation with hosts, but that this was an insignificant factor for guest satisfaction for those staying in an entire home or apartment. Directions for future research as well as implications for accommodation providers are discussed in this paper. 相似文献
6.
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. 相似文献
7.
As an emergent phenomenon fueled by advanced technology, the sharing economy enables people to capitalize on underutilized physical assets that would otherwise be wasted. Despite the rapid growth, existing empirical studies are limited to the adoption of scales from other disciplines, although collaborative consumption differs from commercial consumption. The purpose of the study is to examine guests’ perceived risks and benefits of sharing accommodation. Using three folded studies, this research attempts to yield key theoretical contributions by developing a scale for perceived benefits and risks in the context of sharing accommodation. Furthermore, this study provides initial insights into why consumers would avoid sharing accommodations while at the same time identifying potential benefits and risks in relation to attitude and behavioral intentions. The findings from this research will enable sharing accommodation hosts to understand consumers’ perceived benefits and risks and thus provide enhanced experiences to users. 相似文献
8.
This study explores power dynamics in peer-to-peer (P2P) accommodation by examining how they manifest in the host-guest relationship. In so doing, it advances understanding on the role of hosts in the P2P practice and contributes insights on the factors conditioning the reciprocity of the P2P exchange. Drawing from power theories, the study uncovers how the interdependencies among hosts, guests and platforms influence power constellations emanating from P2P accommodation growth and reflexively redefine host practice. Specifically, the study illustrates how hosts are attempting to resist power imbalances characterising the exchange and how the dynamic environment of P2P accommodation leads to distinct representations of host types. The study makes explicit a conceptual framework that captures the power shifts noticeable in P2P accommodation that may be of theoretical and practical value to academics and policymakers alike. 相似文献
9.
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. 相似文献
10.
The sharing economy in general and peer-to-peer (P2P) accommodations have attracted the attention of academic researchers; research in this area has exponentially increased over the past few years. These researchers have come from a variety of disciplines including tourism and hospitality, business, psychology, law, and cultural studies. The P2P accommodation segment has several aspects which make it unique, even in the realm of the sharing economy. This critical review examined 107 peer-reviewed articles regarding P2P accommodations published between 2010 and 2017. Topics explored have been: consumer behavior, legal issues, conceptualizing P2P accommodations, in the sharing economy, revenue management, trust and mistrust, P2P accommodations and hotels, owner motivations, affordable housing concerns, and emerging fields. Gaps in the literature and future research topics are explored. 相似文献
11.
This study explores key content and themes from online reviews to explain major service attributes of peer-to-peer (P2P) accommodation sought by guests. The results from lexical analyses indicate that attributes frequently mentioned in guest reviews are associated with location (proximity to point of interest and characteristics of neighborhood), host (service and hospitality), and property (facilities and atmosphere). Reviews focusing on location and feeling welcome are consistently linked with higher rating scores, including accuracy, cleanliness, check-in, communication, value, and overall ratings. This confirms that P2P accommodation appeals to consumers who are driven by experiential and social motivations. Marketing implications are provided. 相似文献
12.
This study investigates how peer-to-peer accommodation (P2PA) hosts in China have responded to the COVID-19 pandemic. A multi-case study approach was adopted to depict the decision-making logic of three different types of hosts—speculators, diplomats, and entrepreneurs—based on an awareness-motivation-capability (AMC) framework under COVID-19. The findings highlight the role of owner motivation (profit/sharing/entrepreneurial-driven) and capabilities, such as having a unique value proposition and linkages with other hospitality experience, under COVID-19. Meanwhile, the platform collaboration capability failed to support survival during the pandemic. Moreover, the current study indicated that, after the COVID-19, entrepreneurs will continue to innovate, diplomats’ operations will remain unchanged and speculators will quit hosting. Hence, COVID-19 is an accelerator of P2P industry that reserving the hosts who embrace the original features of the P2PA sector, e.g. sharing and a focus on the experience, and eliminating the hosts who have diluted the uniqueness of the sector. 相似文献
13.
The study examines the complexity of the factors that influence overall perception among tourists who use peer-to-peer accommodation during their vacations. More specifically, it employs fuzzy-set Qualitative Comparative Analysis to analyse data from a sample of 712 peer-to-peer holidaymakers visiting Athens, Greece, and examines the socio-demographics of age and income along with the simple attributes of perceived risks, marketing and advertising, social aspects, and price and quality issues. The findings reveal three sufficient configurations that are able to influence the overall experience: (i) the price-quality nexus, (ii) risk perspective, and (iii) social interaction. The research also compares nonlinear analysis with the dominant parametric methods in tourism and hospitality research (regression; Cramer’s V), highlighting the suitability of the former for complexity examination. It further progresses from fit to predictive validity for the examined models, and contributes to both theoretical and methodological domains. 相似文献
14.
This study examines how the interaction between emoji (emotional vs semantic) and social media content (aesthetic experience vs promotion) influences consumer engagement in tourism brands' digital communication. Based on real Twitter data and an online experiment, our results show that, for aesthetic experience content, emotional emoji elicits more consumer engagement than semantic emoji does. Moreover, emotional emoji increases consumer engagement by eliciting a higher level of emotional responses for aesthetic experience content, whereas semantic emoji enhances consumer engagement by generating greater credibility for promotion content. This study contributes to the textual paralanguage literature in tourism by offering theoretical explanations on how and why the matching effects of emoji and content type on consumer engagement occur in tourism brands’ digital communication. This study also provides practical implications for tourism social media marketers on how to increase consumer engagement via the appropriate use of emoji. 相似文献
15.
This paper explores the interdependency between the intention to host and one’s expected profit level in the peer-to-peer accommodation sector, and examines whether factors affecting these decisions differ for those residing in cities and regional areas. Using survey data on 488 respondents, the intention to host was found to be disjoint from profit level and trust issues hindering hosting differed in cities and regional areas. While embracing sharing philosophy was a significant motive for would-be hosts, economic/opportunity cost and potential regulation in the form of threshold rental-free days have no impact on intention to host or expected profit level. These findings not only have implications for both traditional and online accommodation platforms in their quest to affect the supply of hosts but also informs regulators about who might host and why or what regulations might not deter would-be hosts. 相似文献
16.
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. 相似文献
17.
This paper examines the joint effect of host’s cultural identity (i.e., ingroup vs. outgroup), presence of a travel companion, and consumer’s country of origin on international travelers’ evaluations of home-sharing services. A quasi-experimental design was implemented to collect data from U.S. and Chinese consumers. Results indicate a significant three-way interaction: In a culturally different destination, Chinese consumers prefer home-sharing services provided by ingroup hosts whether traveling alone or with a companion, whereas American consumers only show ingroup preference if they travel alone; when traveling internationally with a travel companion, American consumers prefer home-sharing services provided by an outgroup host. Further, psychological closeness and perceived experience authenticity are found to be the mediators underlying international travelers’ home-sharing preferences. Findings of this study offer new insights to the research and management of sharing economy. 相似文献
18.
This paper explores the performance determinants of Airbnb listings, analyzing three research questions. First, the study investigates the different effects generated by the antecedents on price and revenue; second, it ranks different groups of variables; third, it distinguishes between private rooms and entire homes or apartments. These research questions are addressed by analyzing Airbnb listings in Milan, a business city where the sharing economy is growing fast. In particular, the study will use the monthly data of all Airbnb listings in Milan recorded by AirDNA during the period from November 2014 to June 2019, which consists of 323,184 total observations. Some hedonic price models are calculated, adding the Shapley value approach. Empirical findings show some important differences between price and revenue determinants. Furthermore, listing type and size, along with location and seasonality, are by far the most important factors that explain performance differentials among Airbnb properties. 相似文献
19.
The polarized problem of customers' emotional experiences in peer-to-peer accommodations has been exposed and needs urgent solution. However, a research gap remains in understanding the emotional heterogeneity. Therefore, this study explores customers' emotional heterogeneity and drivers for peer-to-peer accommodations using deep learning technologies and social network analysis. The results reveal that: For common causes, the environment is a core driver of customer emotions; While services are not necessary to positive emotions. For special causes, price value and location can stimulate customers' positive emotions, while their absence cannot affect negative emotions; The absence of household amenities cannot hinder the formation of positive emotions; While booking information triggers customers' negative emotions. This study clarifies complex demands of customer emotional experiences in sharing economy and provides a multiple emotional heterogeneity perspective for mining the emotional causes of peer-to-peer accommodation customers. Furthermore, it contributes to implications for improving customer emotional experience with differentiated strategies. 相似文献
20.
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. 相似文献