Case Of Airbnb Research Articles

Young Consumers’ Satisfaction and Intention in Sharing Economy Using the Case of Airbnb

This paper sought to investigate young consumers’ satisfaction and intention in sharing economy using Airbnb as the ideal case company. In doing so the entity sought to fill up gaps in the literature on hotel management, since the study discovered that there is no detailed concept of consumer behaviour in the process of providing services as an intermediary platform in the market. In ensuring these gaps were adequately filled the study relied on quantitative research methods which ensured that voluminous data was collected within limited time limits and included using questionnaire survey, and finally have the collected data analysed using SPSS. Accordingly, the study found out that customer satisfaction has a general positive relationship towards young customer’s intention to use Airbnb. This was has been gained as a result of benefits of the share economy that customers tend to gain through affordability, familiarity, trust or even offering customers a feeling of belonging that induce higher satisfaction and eventually high intention to use Airbnb. Therefore, the study recommends that Airbnb should consider offering customized services for different markets and also, the entity should also increase investment in innovation so that it can enable it come up with winning products within Airbnb hence increase the customers satisfaction and resultant customer intention.

Uncovering Digital Platforms’ Ethics and Politics: The Case of Airbnb

The paper deploys the disclosive computer ethics (DCE) approach to reconstruct the ethics and politics of one of the sharing economy’s flagships—Airbnb. I investigate Airbnb’s technical design to identify the moral and political values that are embedded in the platform’s technology. I then analyze the platform’s ethics and politics towards a generalization of relevant ethical and political aspects by reconnecting them to the mechanisms, operations, rationales, and ideologies of the sharing economy in general. The paper contributes to the existing literature by linking between the ethics and politics of digital platforms and their technical design, using the case study of Airbnb. Additionally, it explores Airbnb as a specific platform technology with unique ethical and political values. Thus, the paper refutes the neutrality thesis and similar claims made by sharing economy platforms. Finally, the paper makes a methodological contribution to the literature on the ethics and politics of technology. It develops a practical DCE research methodology for uncovering the values, ethics, and politics of digital technologies.

Event-study approach: the case of Airbnb and hotel stocks

ABSTRACT This study investigates the impact of Airbnb announcements on hotel stock prices across ten countries, distinguishing between exact- and general-location announcements. We found that while general announcements have minimal impact, those with exact locations consistently reduce hotel stock prices, as evidenced by negative cumulative abnormal returns (CAR) trends. The primary impact occurs within the [−3, +1]-day window surrounding the announcement. These robust findings persist across various tests, underscoring their reliability. Implications include the importance of investor awareness regarding location-specific announcements and the need for regulatory examination of information disclosure practices on platforms like Airbnb., n.d. The study offers valuable insights for investors and policymakers navigating the dynamic landscape of the hospitality industry in the age of online platforms.

Kısa Süreli Konut Kiralamalarının Profesyonelleşmesi ve Etkileri: Muğla’da Airbnb Örneği

Küresel ölçekte turistlere kısa süreli konaklama imkânı sağlayan platformların en büyüğü olan Airbnb, tüm dünyada giderek daha fazla ticarileşmekte ve profesyonelleşmektedir. Bu durum, Airbnb platformu aracılığıyla gerçekleşen kısa süreli konut kiralamalarının etkilerinin daha fazla tartışılmasına ve dünyanın farklı şehirlerinde Airbnb karşıtı toplumsal hareketlere yol açmaktadır. Bu problemleri önlemek adına yönetimler hazırlanan düzenlemelerle önlemler almakta bazen de bu faaliyetleri tamamen yasaklayabilmektedir. Nitekim Türkiye’de de konuya ilişkin 2023 yılında yeni bir yasal düzenlemenin yayımlanması bu çabaların bir yansımasıdır. 
 Bu çalışma, Türkiye’de nüfusuna oranla en fazla Airbnb ilanına sahip olan Muğla’da kısa süreli konut kiralama faaliyetlerinin profesyonelleşmesine ve etkilerine odaklanmaktadır. Bu kapsamda Muğla’daki Airbnb ilanlarına ilişkin ikincil veriler analiz edilmiş ayrıca Airbnb ilan sahiplerinden, konaklama tesislerinden, yerel acentelerden ve yerel halktan oluşan toplam 35 kişiyle derinlemesine görüşmeler gerçekleştirilmiştir. Araştırmanın bulguları, Muğla’da Airbnb faaliyetlerinin giderek daha fazla profesyonel bir yapı kazandığını göstermiştir. Airbnb faaliyetlerinin ekonomik bir canlılık yaratması, özel konaklama tercihleri olan kitleler için bir alternatif sunması, pandemi döneminde bir ihtiyaca yanıt vermesi ve sosyal bağları kuvvetlendirmesi sistemin olumlu etkileri olarak görülürken, kiralık ve satılık konut fiyatlarını artırması ve barınma sorunlarını büyütmesi sistemin başlıca olumsuz etkileri olarak görülmektedir.

Tourism gentrification and P2P accommodation: The case of Airbnb in Bandung City

In the accommodation sector, the sharing economy has caused a change of lifestyle that has led to gentrification. This paper chose Bandung City as a case study as the city is one of Indonesia's creative centres and tourism destinations. This study identifies the increasing number of Airbnb listings and how it relates to gentrification. Two sources of data are used: Airbnb and the economic and demographic data in Bandung City. We construct the gentrification index and present the non-parametric tests on the impact of Airbnb on gentrification. The analysis demonstrates the gentrification process in the fringe area near tourist attractions and residential areas, which differs from cities in developed countries. Our findings suggest that Airbnb listings may lead to tourism gentrification in peripheral and residential areas. This study proposes the importance of identification and policies on gentrification development to hinder over-tourism in peripheral and second-tier cities in developing countries.

Responsibilisation of participants in sharing economy platforms: The case of Airbnb and the hotelisation of hosting practice

Processes of responsibilisation aim to configure individuals into the governance models of digital platforms and realise versions of the sharing economy pursued by powerful platform owners. Questions are raised, however, as to whether this is an empowering process or one that puts participants at risk. Based on a qualitative study of Airbnb hosts in Europe, we explore their understanding of their own responsibilities as emerging hospitality practitioners. Our analysis shows that hosts actively engage in professional identity work and map a practice architecture which includes a set of responsibilities. We suggest, however, that this is not by itself a sign of empowered individuals rather a reaction to the perceived shift of Airbnb’s strategy towards hotelisation of hosting practice. We contribute to an understanding of responsibilisation as a critical and reactionary process.

On the relationship between short-term rentals and gentrification: the case of Airbnb in Munich (Germany)

This paper explores the relationship between Airbnb and gentrification by studying Munich, which is at the forefront of the short-term rental market in Germany. We investigate both the Airbnb market and the functional rent gap, providing a spatial comparison. The results show an overlapping of gentrification and Airbnb in the central districts, but there are also functional rent gaps in the peripheries. However, high Airbnb densities do not always go hand in hand with gentrification. We also identify a considerable seasonality on the Airbnb market, that adds a temporal dimension to the phenomena. Drawing on this, we call for a city-wide monitoring of these aspects to increase transparency and provide a database for urban policy. By exploring the case of Munich, we contribute to the ongoing discussion, as other (German) cities develop in the same direction on the Airbnb market as the Bavarian capital. Apart from that, our quantitative model is also transferable to other cases.

Revenue Management Practices in Peer-to-Peer Accommodation: The Case of Airbnb

Purpose: Revenue management (RM) practices are well established in the hotel industry. Peer-to-peer (P2P) accommodation is a distinctive alternative to hotels, which in its original intention, is managed by non-professionals. The main research question of this study was how the professionalism of P2P accommodation providers relate to their use of RM practices. Research method: I performed statistical analysis of 479,282 pricing records for 25,827 properties offered through Airbnb in the period of 67 months (August 2015 – February 2021) in Poland. Two indicators of hosts’ professionalism (the number of properties they manage and the possession of superhost status) were tested against three RM practices (cancellation policy, minimum stay, and dynamic pricing). Findings: This study clearly showed the intensification of P2P hosts’ professionalization in comparison to previous research. Moreover, it proved that professional and non-professional hosts’ behaviors significantly differ when it comes to RM practices application, but the discrepancies are not equally distinctive. The finding that brought a considerably different result in comparison to previous research was the negative relationship between a multi-unit host and minimum stay. Implications and future research: This study should serve as a warning for hoteliers about the P2P hosts’ professionalization, as they become equal competitors. There are several future extensions to this study, including holiday destinations, testing other than hosts’ professionalism variables, or shedding light on the evolution of RM practices application could reveal valuable insights. Originality: This study contributes to the existing research by offering the analysis of very recent longitudinal data and covering professional vs. non-professional P2P hosts’ behaviors in terms of three RM practices in Central-Eastern Europe settings.

The Welfare Effects of Peer Entry: The Case of Airbnb and the Accommodation Industry

We study the welfare effects of enabling peer supply through Airbnb in the accommodation industry. We present a model of competition between flexible and dedicated sellers (peer hosts and hotels) who provide differentiated products. We estimate this model using data from major US cities and quantify the welfare effects of Airbnb on travelers, hosts, and hotels. The welfare gains are concentrated in specific locations (New York) and times (New Year’s Eve) when hotel capacity is constrained. This occurs because peer hosts are responsive to market conditions, expand supply as hotels fill up, and keep hotel prices down as a result. (JEL L11, L83, L86, L88, Z31)

The Impact of the COVID-19 Pandemic on the Collaborative Tourism Industry: The Case of Airbnb

In a relatively short period of time, the development of the sharing economy has surprised analysts and practitioners with a new perspective on how to access and distribute services, the speed of growth in a multitude of economic sectors and their global expansion.

The impact of the COVID 19 pandemic on peer to peer accommodation businesses: The case of Airbnb

Aim/purpose – This study aims to examine the impact of the COVID-19 pandemic on peer-to-peer accommodation (P2PA), investigate the potential factors related to or- ganizational resilience based on resilience resources and consumer threat response frameworks, and revisit the tourism disaster management framework. Design/methodology/approach – The operational Key Performance Indicators (KPIs) were analyzed in relation to host professionalism (organizational resilience) and property exposure to social contact (consumer threat response) for 23,334 properties available via the Airbnb platform. A regression model was proposed to estimate the impact of government policies on P2PA business performance. Findings – The revenue, the occupancy rate, and the number of active properties decreased by –59.1%, –41.3%, and –20.4%, respectively. Professional hosts and proper- ties offering less social contact showed lower declines in revenue and occupancy rate and their proportion in properties that survived 12 months after the pandemic breakout was higher. The consecutive waves of COVID-19 infections created a need to include a repetitive exchange of emergency and intermediate stages before the recovery stage could be started. Research implications/limitations – For P2PA hosts, this study could serve as a useful contribution to shaping their tactics given the COVID-19 pandemic continuation or simi- lar disaster to happen in the future. For governments or local authorities, this study should contribute to a better understanding of the impacts of various types of restrictions on accommodation segment performance. The limitation of this research is that it refers to big cities, extending it to rural destinations might reveal valuable insights. Additional- ly, it would be interesting to compare P2PA performance with other segments of the hospitality sector (e.g., hotels). Originality/value/contribution – This study contributes to the knowledge of tourism disaster management, organizational resilience, and consumer threat response frame- works. It reveals potential factors related to property resilience in the face of disease- -related disasters and proposes a revised framework for tourism disaster management. Keywords: peer-to-peer accommodation, Airbnb, revenue, tourism disaster manage- ment, COVID-19 pandemic. JEL Classification: M10, M39, L11, L25, D22.

Discussions on sharing economy in tourism and Istanbul: The case of Airbnb

Turizm sektöründe gün geçtikçe etki alanı genişleyen paylaşım ekonomisi modeli tartışmaları da beraberinde getirmiştir. İlgili akademik araştırmaların öznesi ise büyük oranda Airbnb platformudur. Bu çalışma Airbnb arzına yönelik çeşitli destinasyonlardaki toplumsal muhalif tutumun İstanbul’da olmadığı varsayımı ile gerçekleştirilmiş ve bu durumun sebepleri üzerinde durulmuştur. Yorumlayıcı bir yaklaşımın benimsendiği araştırmada öncelikle İstanbul Airbnb arzı ortaya koyulmuş ve sonrasında literatür destekli bir tartışma yürütülmüştür. İstanbul Airbnb arzı Beyoğlu, Şişli, Fatih, Kadıköy ve Beşiktaş ilçelerinde yoğunlaşmış durumdadır ve buralarda dahi bir muhalif tavrın olmadığı varsayımı, kent kültürünün eksikliği ve karar mercileriyle beraber yerel halkın ekonomik bakış açısı ile ilişkilendirilmiştir. Nihai olarak Airbnb arzını sınırlandırarak ve kent geneline yayarak olası tartışmaların engellenmesi adına öneriler sunulmuştur. Bu öneriler; çekicilik çeşitlendirmesi ile turizm hareketliliğinin kente yayılması, Airbnb girişimlerine yasal düzenlemeler getirilmesi, küçük ve orta büyüklükteki otel işletmelerinin hizmetlerinde revizyona gidilmesi şeklindedir.

Costly Price Adjustment and Automated Pricing: The Case of Airbnb

Costly Price Adjustment and Automated Pricing: The Case of Airbnb

The Analysis of Blocking Behavior and Pricing: The Case of Airbnb

Over the years, as people's lives have improved, our need for transportation and accommodation has increased, driving the rapid growth of the sharing economy. Some well-known network sharing platforms, such as Uber, Drip and Airbnb, provide a large number of convenient options for users with transactional needs, make more use of idle tourism, accommodation and other resources. Sharing economy platforms continue to improve the content and format of their products, but at the same time, the future of sharing platforms and the difficulty of competition is a concern as more platform companies become involved and prices become more transparent. Under this circumstance, optimizing product pricing has become an urgent need for many sharing economy platforms. In this paper, we take Airbnb as the starting point and conduct an empirical analysis of the blocking behavior of homeowners based on proprietary data to explore the factors that affect their product supply. We find that price, number of beds, and listing type all have a significant impact on blocking houses. After that, we conducted further research on price factors and developed a model aiming at profit maximization to obtain the best pricing range for the region and provide suggestions for pricing strategies. Keywords: Sharing Economy, Blocking behavior, Pricing Strategy, Airbnb

Host and guest value co-creation and satisfaction in a shared economy: The case of Airbnb

ABSTRACT The aim of the study is to determine the factors that lead to host and guest satisfaction and value co-creation in the shared economy offered by Airbnb. The study interviews Australian Airbnb hosts and guests in a semi-structured format. Six primary and three secondary factors emerge from the interview data. Primary factors impact both hosts and guests, while secondary factors impact either hosts or guests. Primary factors include (1) economic benefits, (2) authenticity, (3) human interaction, (4) convenience, (5) security, and (6) privacy. Secondary factors include (1) service quality, (2) surprises, and (3) business ownership. Both guests and hosts are Airbnb customers; the current study is one of the first to analyze a shared economy from two different customer perspectives.

Social media brand engagement in the context of collaborative consumption: the case of AIRBNB

This study focuses on social media brand engagement in the context of shared and collaborative consumption businesses, a novel trend in the hospitality industry. By drawing on the concept of brands being defined collectively through an assemblage of heterogonous human and nonhuman actors, and focusing on the brand Airbnb—a peer-to-peer online platform for renting, swapping, and lending accommodations—the current study examines how consumers’ perceptions of Airbnb brand equity mediate the relationship between functional and hedonic brand image and social media behavioral engagement in terms of consumption, contribution, and creation of brand-related content (COBRAs). Results discriminate between direct and indirect effects. Findings reveal that hedonic brand image directly influences behavioral engagement on social media, whereas brand equity fully mediates the relationship between functional brand image and COBRAs. Implications for theory and practice related to shared or collaborative consumption platforms in the hospitality industry are discussed and suggestions for future studies are presented. This research paper provides conceptual and theoretical clarity on issues such as how consumers’ brand perceptions influence their behavioral engagement on social media.

Tourism multi‐sided platforms and the social innovation trajectory: The case of Airbnb

Multi‐sided platforms (MSPs) have recently gained significant attention due to their disruptive innovation capacity, which is introducing deep changes in several industries. Previous work has studied how MSPs grow and design the development of their business models (BMs). However, none of the previous work has studied how these MSPs innovate their BM by leveraging and implementing social innovations. In this paper we aim at filling this gap. In particular, we focus on the tourism sector and, using the theoretical lens of business model innovation (BMI), we explore the Airbnb case study with a qualitative approach. We identify three main stages that characterized the innovation of the Airbnb's BM. Each of them presents specific peculiarities that have been analyzed. Our study offers new insights to understand how the BM of the MSPs is evolving toward a more sophisticated one that includes also a deeper orientation toward sustainable and social goals.

Antecedents and consequences of tourists’ attachment in driving guests’ booking intention: a case of Airbnb, Malaysia

PurposeAirbnb has emerged as one of the most prominent examples of sharing economy platforms in the tourism industry. The growing popularity of Airbnb among tourists has boost revenue in the accommodation rental industry. Considering its significant impact on tourism industry growth, this paper aims to shed some light on guests’ booking intentions on Airbnb, Malaysia.Design/methodology/approachA web-based survey was designed to collect the data, which yielded 174 usable and valid responses. Structural equation modelling, partial least square technique was used to analyse the data.FindingsThe results confirmed that Airbnb’s reputation and guests’ unique experience expectation positively affect guests’ attachment to Airbnb, which, in turn, drives guest booking intention. However, price consciousness did not exert any effect on guests’ attachment to Airbnb.Practical implicationsThe findings of this study will equip Airbnb managers, accommodation platform owners and service providers in developing appropriate marketing plans and strategies to better understand the implications of both internal and external causes that may lead to guests’ intention to book their accommodations.Originality/valueThis research has its merits in adding value to the tourism literature by understanding the drivers of guests’ booking intentions on Airbnb. Furthermore, the study findings contribute to the existing literature by investigating few new linkages such as the role of guests’ attachment to Airbnb as a mediator between guests’ unique experience expectation, price consciousness, reputation and guests’ booking intention.

공유경제 플랫폼의 재이용의도에 영향을 미치는 요인에 관한 연구: 중국 Airbnb사례를 중심으로

공유경제 플랫폼의 재이용의도에 영향을 미치는 요인에 관한 연구: 중국 Airbnb사례를 중심으로

Stars vs lemons. Survival analysis of peer-to peer marketplaces: the case of Airbnb

This paper analyses the determinants of listings' survival on peer-to-peer marketplaces. Working on a dataset of Airbnb listings in Ibiza, we implement survival analysis to estimate the relationship between listings' key attributes and the probability to leave the platform. In addition, we highlight the importance of user-generated content to reduce the asymmetry of information and prevent adverse selection. Results confirm that listings' characteristics, location, degree of local competition and hosts' managerial skills, significantly affect the survival chance. Moreover, we found that low quality listings (proxied by the customer rating) are intended to disappear: the reviewing system successfully signals the quality on this market and drive the market selection process. • This paper analyses the survival rate of listings published on Airbnb. • The listings' characteristics, location, degree of competition and hosts' managerial skills are the main drivers of survival. • The price per se is not sufficient to signal quality. • Online reputation drives the market selection process. • Low quality listings are intended to leave the market.