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1
Astudillo, Silvana, Ana Serrano, Diana López, and Barbara Sofía Pasaco González. "Profiling of Airbnb's activities in Ecuador's main cities." Tourism 68, no. 4 (November 17, 2020): 389–401. http://dx.doi.org/10.37741/t.68.4.2.
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Airbnb in Ecuador is a platform offering since 2008 a new lodging concept that best can be described as a sharing economy model through the rental of private rooms and apartments. The article provides an overview of Airbnb’s activities in Ecuador, more in particular in 22 cities, respectively the capitals of 22 provinces, using the 16 metrics available on the platform of AirDNA. Factor analysis was applied to reduce the number of variables to three main surrogate variables (lodging typology, prices and rates, market metrics) that characterizes Airbnb and retains the original factor variability. Additionally, based on the occupation frequency of Airbnb’s rental places the cluster analysis permitted to group the cities in which Airbnb is active on the basis of the following indicators: amazon destinations, traditions, sun and beach, nature culture and events, and the country’s capital. The research provided a clear image of Airbnb’s approach and impact on the formal accommodation sector, which ultimately will enable the sector to come up with innovative products to compete more efficiently Airbnb’s market range.
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Zhu, Haiting. "Airbnb’s Growth Changes Residential Property Prices in Adelaide." Journal of Sustainable Urbanization Planning and Progress 6, no. 1 (2022): 6–22. http://dx.doi.org/10.26789/jsupp.2022.01.002.
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In this research, the impact of Airbnb on residential property prices in Adelaide is assessed. Many previous European and American research have connected short-term rental, Airbnb and property market and made conclusion that short-term rentals (STR) are increasing housing prices and rents. However, there is no research about Airbnb and its effects on residential property prices in Adelaide. This research aims to fit this gap and makes Plan SA know more about Airbnb’s effects. This research used multiple linear regression model to examine the Airbnb activity’s effects on housing prices in Greater Adelaide during a specific time period before COVID-19. This regression model has been utilised in 3 Airbnb hotspot suburbs, Adelaide, North Adelaide and Glenelg and 3 adjected suburbs with few Airbnb listings, Thebarton, Prospect and Glengowrie in Greater Adelaide; different results in these 3 pairs suburbs has been employed to understand Airbnb’s different effects in housing prices. According to the results of regression model in different suburbs, Airbnb hotspot areas, have higher R squares and unpopular areas have smaller R squares. Considering coefficients in Airbnb hotspot areas, the number of Airbnb listings can increase housing prices and Airbnb daily can decrease housing prices. However, in unpopular Airbnb areas, R square and sample size are too small to make correlation between Airbnb and housing prices. The further study should enlarge the size of sample to verify whether there is a correlation between Airbnb and residential property prices in Airbnb unpopular areas.
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Thackway, William Thomas, Matthew Kok Ming Ng, Chyi-Lin Lee, Vivien Shi, and Christopher James Pettit. "Spatial Variability of the ‘Airbnb Effect’: A Spatially Explicit Analysis of Airbnb’s Impact on Housing Prices in Sydney." ISPRS International Journal of Geo-Information 11, no. 1 (January 14, 2022): 65. http://dx.doi.org/10.3390/ijgi11010065.
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Over the last decade, the emergence and significant growth of home-sharing platforms, such as Airbnb, has coincided with rising housing unaffordability in many global cities. It is in this context that we look to empirically assess the impact of Airbnb on housing prices in Sydney—one of the least affordable cities in the world. Employing a hedonic property valuation model, our results indicate that Airbnb’s overall effect is positive. A 1% increase in Airbnb density is associated with approximately a 2% increase in property sales price. However, recognizing that Airbnb’s effect is geographically uneven and given the fragmented nature of Sydney’s housing market, we also employ a GWR to account for the spatial variation in Airbnb activity. The findings confirm that Airbnb’s influence on housing prices is varied across the city. Sydney’s northern beaches and parts of western Sydney experience a statistically significant value uplift attributable to Airbnb activity. However, traditional tourist locations focused around Sydney’s CBD and the eastern suburbs experience insignificant or negative property price impacts. The results highlight the need for policymakers to consider local Airbnb and housing market contexts when deciding the appropriate level and design of Airbnb regulation.
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Alrawadieh, Zaid, Daniel Guttentag, Merve Aydogan Cifci, and Gurel Cetin. "Budget and midrange hotel managers’ perceptions of and responses to Airbnb." International Journal of Contemporary Hospitality Management 32, no. 2 (January 10, 2020): 588–604. http://dx.doi.org/10.1108/ijchm-01-2019-0015.
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Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value 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.
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Agina, Mohamed Fathy, Nadir Aliane, Osman El Sawy, Hazem Ahmed Khairy, and Sameh Fayyad. "Risks in Relation to Adopting Airbnb Accommodation: The Role of Fear of COVID-19." Sustainability 15, no. 6 (March 13, 2023): 5050. http://dx.doi.org/10.3390/su15065050.
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This study examined the impacts of perceived Airbnb risks, i.e., performance, financial, physical, social, time, and psychological risks on tourists’ intention to use Airbnb. The study also explored the moderating effect of the fear of COVID-19 on the relationship between perceived Airbnb risks and the tourist’s intention to use Airbnb. The data was collected from 248 customers of Airbnb using a survey approach. The data were analyzed utilizing the Smart PLS V.4. The PLS-SEM results revealed that Airbnb (physical, psychological, time, performance, financial and social risks) had a significant negative effect on the intention to use Airbnb. On the other side, the fear of COVID-19 acted as a moderator between Airbnb’s physical, psychological, and social risks and the intention to use Airbnb, indicating that customers tend to tolerate time and performance risks when having a high level of fear of COVID-19 and prefer to use Airbnb regardless of them. This shift in customer behavior towards customers’ intention to use Airbnb in light of the fear of COVID-19 gives Airbnb an edge that should be exploited via remedying other risks. It was suggested that the Airbnb hosts’ awareness of the importance of Airbnb in the context of tourism in Egypt should be enhanced. Additionally, a legislative framework should govern Airbnb transactions to secure tourists in dealing with Airbnb hosts. Professionalism in providing Airbnb services should also be adopted. Future studies in the context of the current subject could conduct multi-group analyses according to different types of Airbnb accommodation and use a larger sample size.
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Baldick, Hwijin Jeon, and SooCheong (Shawn) Jang. "Spending the night with strangers while traveling? Examining the antecedents of shared room booking through Airbnb." International Journal of Contemporary Hospitality Management 13, no. 12 (November 5, 2020): 3853–71. http://dx.doi.org/10.1108/ijchm-09-2018-0722.
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Purpose This study aims to examine the motivating factors that influence intentions to book shared rooms through Airbnb as well as the moderating effects of past experience and gender. Design/methodology/approach This study analyzed data from 214 leisure travelers who had previously stayed in shared rooms through Airbnb and 207 participants who had not yet experienced Airbnb. A covariance-based structural equation modeling (CB-SEM) technique was performed to test the significance of attitude, subjective norms, extroverted personality, perceived risk and perceived price. Furthermore, the study explored past experience and gender as moderators. Findings The results suggest that attitude, subjective norms and perceived risk significantly impacted intentions to book shared rooms through Airbnb. However, perceived price was not a significant determinant. In addition, this study verified that past experience and gender moderated the relationship between important referents and attitude/booking intentions. Practical implications This study gives Airbnb hosts a better understanding of travelers who choose Airbnb’s shared rooms. In addition, hosts who offer shared rooms can implement marketing strategies and complementary activities to not only reduce the risk of booking shared rooms but also attract more travelers. Originality/value While previous studies examined Airbnb as one homogeneous type of accommodation, this study focused on Airbnb’s shared rooms. A clearer understanding of consumers who intend to book Airbnb’s shared rooms will enable hosts to develop effective marketing strategies.
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Guttentag, Daniel. "Transformative experiences via Airbnb: Is it the guests or the host communities that will be transformed?" Journal of Tourism Futures 5, no. 2 (June 3, 2019): 179–84. http://dx.doi.org/10.1108/jtf-04-2019-0038.
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Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value 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.
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Jiao, Junfeng, and Shunhua Bai. "Cities reshaped by Airbnb: A case study in New York City, Chicago, and Los Angeles." Environment and Planning A: Economy and Space 52, no. 1 (June 2, 2019): 10–13. http://dx.doi.org/10.1177/0308518x19853275.
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In the last 10 years, Airbnb has rapidly grown from a simple, online bed and breakfast operation to a leading global hospitality service provider. Scholars have been using different spatial analysis tools to study its potential impacts on cities. To better understand Airbnb’s impact this featured graphic applied a cartogram processing tool to reshape census tracts based on Airbnb listing intensity in three major US cities (New York City, Chicago, and Los Angeles). Results showed that different cities have different patterns of Airbnb listings. Census tracts in New York City became completely unrecognizable after the analysis, which indicted a highly skewed Airbnb distribution in the city. Compared with New York City, we saw less and least deformation in Chicago and Los Angeles, respectively, where Airbnb was more evenly distributed. The results showed that Airbnb listings were very evenly distributed in the large US cities. Airbnb would impose completely different impacts on different neighborhoods based on their locations.
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Xie, Karen L., Linchi Kwok, and Cindy Yoonjoung Heo. "Are Neighbors Friends or Foes? Assessing Airbnb Listings’ Agglomeration Effect in New York City." Cornell Hospitality Quarterly 61, no. 2 (December 13, 2019): 128–41. http://dx.doi.org/10.1177/1938965519890578.
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This study investigates the agglomeration effect of Airbnb listings in New York City (NYC) and answers two research questions: (a) Does agglomeration benefit or hurt the performance of individual Airbnb listings? (b) How does the effect of agglomeration vary by hosts regarding their operational experience (measured by their capacity and tenure on Airbnb)? A series of econometric analyses using large-scale data of Airbnb in NYC reveal that agglomeration positively affects the revenue performance of each Airbnb listing. In addition, such an effect is strengthened as host tenure spans but mitigated as host capacity expands, indicating a nonsymmetric agglomeration effect across service providers. This research contributes an important but less researched perspective to the home-sharing literature. Managerial implications on leveraging agglomeration for improved revenue performance are provided to Airbnb and its hosts, as well as the hotel chains that want to combat Airbnb’s negative impacts or have already entered the short-term residential rental market to compete head-to-head with Airbnb.
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Fu, Zhehao, Hongying Zhu, and Fengming Pan. "Evaluating the Impact of Airbnb on Social Equality." Highlights in Business, Economics and Management 19 (November 2, 2023): 352–67. http://dx.doi.org/10.54097/hbem.v19i.11933.
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This research paper aims to investigate the development and impact of Airbnb on social, economic, and cultural dimensions, with a focus on its negative impacts on social equality and gentrification. The paper argues that Airbnb gentrifies local communities through the creation of short-term rent gaps, leading to rising housing prices, displacement of long-term users, and social injustice. Using data retrieved from the website of the UK government and Insideairbnb, this study examines the relationship between Airbnb and the well-being of London residents using linear regression. The results show a close correlation between Airbnb and rising housing prices, a fair correlation with decreasing greenery, transportation, and average income levels, and no significant correlation with average life expectancies. The correlation between these variables highlights the negative externalities associated with social justice that have arisen from Airbnb's proliferation. Considering that the growth of Airbnb in London has led to negative consequences for residents' well-being, policymakers should mitigate these impacts while monitoring Airbnb's growth to promote social justice and equitable outcomes for all residents.
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Zhang, Zhihua, and Rachel J. C. Chen. "Assessing Airbnb Logistics in Cities: Geographic Information System and Convenience Theory." Sustainability 11, no. 9 (April 26, 2019): 2462. http://dx.doi.org/10.3390/su11092462.
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City managers and planners seek insights into Airbnb logistics in cities for the purposes of effective lodging management. This requires managers and planners to gain a holistic understanding of Airbnb geographic dynamics, which has drawn limited attention in the literature. To fill this gap, this paper explored Airbnb supply and logistics in three cities (New York City, Los Angeles, and Chicago) through the lenses of geographic clustering and location convenience. We explored the spatial allocations of Airbnb supply in cities and investigated Airbnb’s influencing factors at the census tract level, utilizing spatial regression models. The results showed that (1) the spatial distribution of Airbnb supply in all three cities has a clear center-peripheral pattern, indicating that Airbnb allocations predominate in the central area of the city; (2) the number of housing units and points of interest (POI) have an influential impact on Airbnb supply for three cities; (3) the proportion of youth population and employment has a positive effect on Airbnb supply in NYC and Chicago, but not in LA, while the distance to the city center negatively affects Airbnb supply in LA and Chicago, but not in NYC; (4) the income has a mixed effect on Airbnb supply in three cities, while the proportion of African Americans and education level has only a positive effect on Airbnb supply in NYC; and (5) rent is not associated with Airbnb supply for all three cities, which indicates that the Airbnb explosion may not contribute to rent increases in cities.
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Mhlanga, Oswald. "The innovation-employment nexus: an analysis of the impact of Airbnb on hotel employment." Journal of Hospitality and Tourism Technology 11, no. 3 (July 27, 2020): 407–23. http://dx.doi.org/10.1108/jhtt-09-2019-0111.
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Purpose The purpose of this paper is to examine the impacts of Airbnb on hotel employment. Design/methodology/approach A triple-difference regression framework was used to compare changes in hotel employment in three cities in South Africa where Airbnb started operating relative to cities without this home-sharing platform. Data on hotel employment was drawn from the survey on hotel service conducted by Smith Travel Research whereas the data on Airbnb’s listings was drawn from the Airbnb’s homepage for the period between July 2015 and December 2018. The analysis was restricted to 792 hotels. Findings Although prior studies have showed that Airbnb has an adverse impact on hotel performances, the findings show that total hotel employment expanded after the entry of Airbnb, accompanied by a marked relative shift towards self-employment. Airbnb supply negatively affected permanent employment, which was compensated by increase in temporary employment and self-employment. While the paper finds no evidence of adverse employment impacts, the hourly earnings declined for hotel employees were compensated by increase in income among self-employed Airbnb hosts. Although these findings might be contradictory to the general conjecture, such evidence calls for a comprehensive investigation of Airbnb’s overall economic impact. Research limitations/implications First, the study was based on the impact of Airbnb on hotel employment in South Africa. Caution is therefore required when generalising the findings of this study in other geographic areas. Second, some variables that may affect employment have not been included in this study because of the unavailability of data. Practical implications The results show that the sharing economy plays an important role in solving the unemployment problem, particularly in South Africa, where there is a high rate of unemployment. More practical implications are further discussed. Originality/value To the best of author’s knowledge, this paper provides the first systematic evidence of the impact of Airbnb on labour market outcomes in the hotel industry in South Africa.
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Guttentag, Daniel. "Progress on Airbnb: a literature review." Journal of Hospitality and Tourism Technology 10, no. 4 (November 27, 2019): 814–44. http://dx.doi.org/10.1108/jhtt-08-2018-0075.
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Purpose 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. Design/methodology/approach 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. Findings 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. Practical implications 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. Originality/value This is the first paper to review the extant literature specifically about Airbnb.
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Chen, Yong, and Karen Xie. "Consumer valuation of Airbnb listings: a hedonic pricing approach." International Journal of Contemporary Hospitality Management 29, no. 9 (September 11, 2017): 2405–24. http://dx.doi.org/10.1108/ijchm-10-2016-0606.
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Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value 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.
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He, Zhihang, and Zhuohua Li. "Airbnb IPO: A Huge Success under Pandemic." BCP Business & Management 37 (February 1, 2023): 534–39. http://dx.doi.org/10.54691/bcpbm.v37i.3610.
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This paper mainly describes the IPO of travel company Airbnb. While the travel industry around the world has been decimated by the coronavirus, with industries large and small either going bankrupt or having their funding disrupted, Airbnb has surprisingly survived. That is the story it is trying to sell to Wall Street in its roadshow. But the question is how did Airbnb survive the pandemic? The dramatic turnaround does not entirely mask its previous struggles with revenue growth. These include two of Airbnb's biggest challenges during the pandemic: a shortage of cash flow and competitive pressure from bookings. The second reason is why Airbnb chose to go public in the middle of the pandemic, and the risks are enormous: employee and shareholder stock maturities, and cash flows are desperately short. It remains to be seen how Airbnb managed to go public in a highly uncertain economic environment like the pandemic, contrary to other big companies that went public during the boom. The third chapter is about the pros and cons of IPO on Airbnb and its influence. Secondly, after the epidemic, what kind of development will Airbnb IPO have in the future, what kind of development, marketing strategy and whether Airbnb IPO is a right choice will be given, which will give favorable suggestions for Airbnb.
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Yang, Jiayi. "Impacts of COVID-19 on the Hospitality Industry: Case Study of Airbnbs Response and Market Exit." Advances in Economics, Management and Political Sciences 42, no. 1 (November 10, 2023): 124–29. http://dx.doi.org/10.54254/2754-1169/42/20232093.
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This paper investigates the impact of the COVID-19 pandemic on the hospitality industry, with a specific focus on Airbnb as a case study. Through an in-depth analysis, this paper uncovers the disruptions and transformations experienced by the hospitality industry due to COVID-19. Examining the case of Airbnb sheds light on the complexities and vulnerabilities inherent in the sharing economy model. The study showcases the unique challenges Airbnb faces in the Chinese context and evaluates the effectiveness of the strategies employed to sustain operations. It provides valuable insights into Airbnbs decision-making processes and gives alternative solutions that could be helpful. By combining the findings from this case study, this paper offers practical assessments and recommendations for the future development of the hospitality industry. In conclusion, this paper provides a comprehensive examination of the impact of COVID-19 on the hospitality industry through the lens of Airbnb.
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Bugalski, Łukasz. "The Undisrupted Growth of the Airbnb Phenomenon between 2014–2020. The Touristification of European Cities before the COVID-19 Outbreak." Sustainability 12, no. 23 (November 25, 2020): 9841. http://dx.doi.org/10.3390/su12239841.
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As a result of the Airbnb eruption, not only has the character of the short-term rental market been completely transformed, but the decades long growth in tourism has also been further accelerated. Therefore, due to the new demands of the tourism economy, the major shift in the usage of historic city centers occurred–the process of ‘touristification’, that results in the emergence of its new, unsustainable form. Despite the significance of those circumstances, there is a lack of any broader quantitative research that would present the dynamic of the Airbnb phenomenon. Therefore, thanks to the recognition of AirDNA data, such statistical analysis has become possible. The goal of this paper is to investigate the Airbnb’s growth trajectories—data that bind together a market dimension of the growth in tourism and the community aspect of an urban change caused by its impact—from the perspective of its spatial distribution across Europe between 2014 and 2020. As a result, it was possible to follow the Airbnb phenomenon during its undisrupted period of growth—from its sudden eruption, further spread, and potential future after the COVID-19 outbreak—all together with its logarithmic character, concentration form, and momentum of already reached economic equilibrium.
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Sun, Shijie, Shengyue Zhang, and Xingjian Wang. "Characteristics and influencing factors of Airbnb spatial distribution in China’s rapid urbanization process: A case study of Nanjing." PLOS ONE 16, no. 3 (March 18, 2021): e0248647. http://dx.doi.org/10.1371/journal.pone.0248647.
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As in other countries, short-term rentals for tourism services are growing rapidly in China’s tourist cities, which are mainly operated through Airbnb. This paper explores whether the spatial distribution of Airbnb in China’s rapid urbanization process exhibits characteristics, paths, and drivers that are different from those of cities in other countries. Airbnb is a model for the global sharing economy, but it is increasingly influenced by other functions and facilities in cities as it grows. In this paper, the zero-expansion negative binomial regression was used to study the factors affecting the spatial distribution of Airbnb in Nanjing, China. The results showed that the spatial distribution of Airbnb listings was correlated with the distribution of cultural attractions, universities, public transport accessibility, shopping centers, and business apartments. By analyzing the driving forces of Airbnb’s development in Nanjing, this paper found that a large number of business apartments developed in cities were essential providers of Airbnb listings, and affected its spatial distribution. The gap between short-term and long-term rentals was also correlated with the distribution of Airbnb. In addition, similar to the previous literature findings, the increase in the proportion of professional hosts changes the original intention of Airbnb for sharing and communication. Our empirical results applies to the current situation of Airbnb in Chinese cities, which is conducive to the government’s more intelligent management and effective promotion of the Airbnb market. Our findings also provide positive references for urban renewal policies and public participation methods in China.
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Mhlanga, Oswald. "Peer-to-peer-travel: is Airbnb a friend or foe to hotels?" International Journal of Culture, Tourism and Hospitality Research 13, no. 4 (December 11, 2019): 443–57. http://dx.doi.org/10.1108/ijcthr-05-2019-0087.
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Purpose The sharing economy has caught great attention from researchers and policymakers. However, due to the dearth of available data, not much empirical evidence has been provided. This paper aims to empirically assess the impacts of Airbnb on hotel performances in South Africa. Design/methodology/approach Using South Africa as a case study, the study measures the impacts of Airbnb on hotel performances on three key metrics, namely, room prices, occupancy and Revenue per available room (RevPAR). A difference-in-difference model is estimated using a population-based data set of 809 hotels from 2016 to 2018. Findings The results reveal that despite Airbnb significantly and negatively impacting on hotel occupancies it has a non-significant effect on hotel prices and RevPAR. Although from the theoretical perspective a disruptive innovation business model such as Airbnb can possibly have a negligible effect on hotel performances because it may attract a different group of customers and create a new market, the empirical findings of this study fail to support this theoretical hypothesis. Consequently, the findings diverge with newly developed knowledge in other markets and point to nuanced and contextual complementary effects. Research limitations/implications Although some interesting findings are revealed into his study, some caveats remain. For instance, the study relied on data from hotels not from Airbnb. If the data of Airbnb can become available, it would be interesting to further examine whether the aggregated RevPAR of Airbnb can compensate for the aggregated loss of hotel RevPAR. This type of analysis could provide a broader evaluation scope regarding the overall effect of Airbnb on hotel performances. Moreover, if a longer time series data set of hotels in the post-Airbnb time period could become available, it would be interesting to further investigate the time-varying dynamic effects of Airbnb on hotel performances. Practical implications While hotels have launched a campaign to portray Airbnb as being commercial operators looking to compete illegally with hotels for the same segment of customers, this study shows that the rhetoric has been exaggerated. Airbnb, and more broadly, vacation rentals do not represent a war with hotels. They represent an answer to a different need. Indeed, the study reveals that Airbnb’s offer is a mere supplement to the market contrary to media rhetoric that it is meant to substitute hotels. The study has several implications for practitioners. First, these results are important because they serve as evidence against news articles that claim Airbnb is driving hotels out of business. They also show that if current trends continue, employees in the hotel industry in South Africa do not need to be concerned about losing their jobs because of Airbnb’s emergence. It is also important information for investors who may be concerned that Airbnb is hurting the hotel industry’s bottom line. Second, as the share of Airbnb listings on the accommodation market varies dramatically between cities, it is likely that eventual regulations/restrictions should be introduced in the provincial levels, while most of the cities continue benefiting from the increasing number of Airbnb visitors. Originality/value To the best of the author’s knowledge, this study is the first in South Africa to provide empirical evidence that Airbnb is significantly changing consumption patterns in the hotel industry, as opposed to generating purely incremental economic activity.
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HERTE, Elena, and Alina BADULESCU. "RESEARCH ON THE DISTRIBUTION OF AIRBNB ACCOMMODATION IN MAJOR EUROPEAN DESTINATIONS." ANNALS OF THE UNIVERSITY OF ORADEA. ECONOMIC SCIENCES 32, no. 1 (July 2023): 154–64. http://dx.doi.org/10.47535/1991auoes32(1)011.
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The Airbnb platform, one of the most popular platforms of its kind, is present worldwide, with a variety of accommodations, depending on the type of accommodation it offers (single room, whole apartment, etc.). In this article, we set out to analyse the spatial allocation of accommodation and the density of Airbnb listings in comparison with hotel establishments in Europe. For the spatial analysis of Airbnb accommodations we used data from the Inside Airbnb website and QGIS, an application used for geographic information systems (GIS) that supports visualization, editing, and analysis of geospatial data. In this way, we created a geospatial database that helped us better understand the dynamics of each location. After analysing the data we concluded that a consequence of the concentration of Airbnb accommodation is that life in these areas has become more expensive and more crowded for locals. Airbnb accommodation has caused inconvenience not only to hotel owners but also to locals. In addition, Airbnb is having a strong impact on the rental market by increasing rental prices. Another trend that can be seen from the distribution of Airbnb accommodation is that in cities with a seafront location, accommodation is located close to beaches and most accommodation is of the entire home/apartment type. Differences in the frequency of use and prices of listings highlight the geographical inequality in the benefits and impact of Airbnb’s activity. The Airbnb offer is not a uniform segment of tourist accommodation and its effects on destinations are important and should therefore be analysed in relation to the territorial context.
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Tatsi, Foteini, Fotios Tatsis, Nikolaos Mylonidis, and Kostas Karamanis. "Assessing the impact of sharing economy on Greece’s hospitality sector: Perspectives from hoteliers and hosts." Journal of Infrastructure, Policy and Development 9, no. 1 (January 6, 2025): 10383. https://doi.org/10.24294/jipd10383.
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The expansion of short-term rental platforms like Airbnb and HomeAway has reshaped the hospitality sector, introducing competitive pressures for traditional hotels and influencing local communities in Greece. This study examines perceptions among 343 hoteliers and 277 Airbnb hosts across Greece, focusing on economic, competitive, and social impacts of Airbnb-type accommodations. This cross-sectional study used structured questionnaires to assess views on Airbnb’s contribution to tourism, competition, and economic performance. Results reveal significant differences in perceptions: hoteliers expressed concerns about increased competition and regulatory inequalities, often viewing Airbnb as a mixed or negative influence on local tourism. In contrast, Airbnb hosts perceived their accommodations as beneficial for tourism growth and local economic support. Key areas of divergence included perceived competitive pressures, impact on overnight stays, and pricing strategies, with Airbnb hosts reporting more frequent economic benefits. These findings emphasize the need for a balanced regulatory approach to ensure fair competition and sustainable growth in Greece’s tourism sector. By comparing the perspectives of traditional and alternative accommodation providers, this study provides insights for policymakers seeking to address evolving challenges in the Greek hospitality landscape.
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Nie, Cheng, Zhiqiang (Eric) Zheng, and Sumit Sarkar. "Competing with the Sharing Economy: Incumbents’ Reaction on Review Manipulation." MIS Quarterly 45, no. 3 (September 1, 2022): 1573–602. http://dx.doi.org/10.25300/misq/2022/15666.
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The emergence of the sharing economy has provided the market with an untapped wealth of supplies, posing a threat to incumbents. In response to competition from the sharing economy, incumbents must adjust their competitive strategies. In this paper, we focus our investigation on a nascent competitive strategy—consumer opinion manipulation—in the lodging sector of the hospitality industry. We examine two types of opinion manipulations through online reviews: promoting oneself and demoting one’s competitors. Combining data from Airbnb, Expedia, TripAdvisor, AirDNA, the Texas Comptroller’s Office, and Smith Travel Research, we estimate the impact of a new sharing economy entrant, Airbnb, on conventional hotels’ manipulation strategies by exploring the supply variation of the competing Airbnb listings around each hotel. We find that, intriguingly, hotels tend to reduce mutual demotion when facing the common “enemy” of Airbnb competition. However, there is considerable heterogeneity among hotels in response to Airbnb competition. Low-end hotels tend to not increase their review manipulation activities for purposes of either self-promotion or demotion, while high-end hotels tend to demote competing hotels less and promote themselves more in the presence of higher levels of Airbnb competition.
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Tiamiyu, Tosin, Farzana Quoquab, and Jihad Mohammad. "Antecedents and consequences of tourists’ attachment in driving guests’ booking intention: a case of Airbnb, Malaysia." International Journal of Culture, Tourism and Hospitality Research 14, no. 4 (June 4, 2020): 525–44. http://dx.doi.org/10.1108/ijcthr-11-2019-0200.
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Purpose Airbnb 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/approach A 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. Findings The 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 implications The 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/value This 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.
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Aritenang, Adiwan F., and Shafa Kamila Putri Setiawan. "CHSE Readiness in the New Normal Era (Case Study: Airbnb Owners in Denpasar City, Bali)." ASEAN Journal on Hospitality and Tourism 22, no. 2 (August 31, 2024): 141–64. http://dx.doi.org/10.5614/ajht.2024.22.2.02.
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This research examines Airbnb listings’ readiness to fulfils CHSE in Denpasar City. This result shows three priority amenities: a fire extinguisher, a first aid kit, and a smoke detector. However, the readiness of Airbnb to meet CHSE requirements remains limited and only found in certain types of listing. The study provide important insights into the lack of CHSE implementation among Airbnb listings, mainly in private and hotel room listings. This problem is further exacerbated by the difficulty of supervising the implementation of the CHSE, as Airbnb’s legal status remains debatable following hosts’ willingness to register with the Tourism Office.
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Johnson, Abbie-Gayle, and Barbara Neuhofer. "Airbnb – an exploration of value co-creation experiences in Jamaica." International Journal of Contemporary Hospitality Management 29, no. 9 (September 11, 2017): 2361–76. http://dx.doi.org/10.1108/ijchm-08-2016-0482.
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Purpose Drawing upon the theoretical framework of the service-dominant (S-D) logic, value co-creation and social practices, this paper aims to investigate how value is co-created among guests, hosts and the wider local community in the sharing economy context of Airbnb. Design/methodology/approach A qualitative enquiry through an online content analysis was applied to thematically analyse Airbnb online guest reviews to explore the value-co-creation practices in local tourist experiences in Jamaica. Findings Based on Airbnb guest and host engagements, a theoretical framework emerges, depicting integrated operant and operand resources, host–guest value co-creation practices embedded in the destination’s authentic culture and specific value outcomes. Research limitations/implications Being grounded in the geographical and cultural context of Airbnbs in Jamaica, the findings are transferable to similar platforms of the sharing economy, tourism contexts and destinations. Practical implications Critical implications unfold for Airbnb accommodation providers, destination stakeholders and policymakers by revealing a specific set of nuanced social practices that need to occur for local authentic experiences and value to be co-created among guests, hosts and the wider local community. Originality/value The paper makes an original contribution to knowledge by being one of the first studies to apply a S-D logic lens to the Airbnb sharing economy. It breaks down resource integration, host – guest value co-creation practices and value outcomes that occur for experiences and value to emerge in an Airbnb hospitality context.
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Tumbali, Mary Vida L. "IMPACT OF AIRBNB ON PHILIPPINE ACCOMMODATION SECTOR: A QUANTITATIVE APPROACH." Journal of Tourism, Hospitality and Environment Management 5, no. 21 (December 2, 2020): 74–88. http://dx.doi.org/10.35631/jthem.521005.
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The study aimed at scrutinizing the impact of Airbnb on the Philippine hotel accommodation sector with regards to occupancy rates and the number of tourist arrivals. The more extensive point was to make a functional contribution to the current discussions and issues around the sharing accommodation, in particular Airbnb platform, from an ethnically diverse country standpoint. This study used a quantitative explanatory approach, and a secondary data sampling technique was adopted. Statistics from the Philippines were obtained from the DOT library while Airbnb data was purchased from AirDNA last September-November 2019. Secondary data collected were analyzed through SPSS. The study measured the relationship between Airbnb occupancy rates and tourist arrival. Moreover, to test whether Airbnb is directly competing with the lower category of hotel in terms of occupancy rates, the correlational examination was taken into account. Pearson R coefficient was utilized followed by a regression analysis to come up with a model. The findings inferred that it is Airbnb that has most influenced the activity of the tourism industry sector most especially under the accommodation sector and apparently set up to be a threat to the budget traditional providers. The result of the examination required for a business reaction for the traditional providers on the best way to team up with Airbnb to give better accommodation preferences for the increasing number of travelers in the country.
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Lobo, Yure Sousa. "Economia colaborativa e destinos turísticos urbanos." Revista Brasileira de Pesquisa em Turismo 14, no. 3 (August 31, 2020): 32–49. http://dx.doi.org/10.7784/rbtur.v14i3.1841.
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O estudo centra-se na expressão espacial da Airbnb e nos anúncios contidos na plataforma para investigar a interrelação entre a distribuição espacial da oferta Airbnb e a dinâmica urbano-turística de Curitiba. O método adotado foi o quantitativo, por meio da análise espacial de dados e da estatística descritiva, utilizando fonte de dados digitais (AirDNA, 2017). Os resultados destacam a compreensão das dinâmicas da Airbnb com o espaço urbano-turístico; a indicação de que a oferta Airbnb não representa uma ameaça à ocupação hoteleira convencional; a ocorrência de múltiplos anúncios de um mesmo anfitrião como indicativo de externalidade negativa; a ocorrência do reforço da centralidade como elemento comum na análise da distribuição espacial da oferta Airbnb e das regiões com os melhores índices socioeconômicos; e, a eminência de novos atores na dinâmica turística local. As implicações teóricas ressaltam as relações complexas entre produtores, consumidores, comunidade local e organizações públicas inseridas no contexto da economia colaborativa e, a contribuição para as discussões sobre o planejamento territorial do turismo no âmbito local. A conclusão aponta que a distribuição espacial da Airbnb borra os limites do que seria o espaço turístico "por excelência" de Curitiba, considerando novos usos do espaço e seu potencial de inter-relação.
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Hübscher, Marcus, Juana Schulze, Felix zur Lage, and Johannes Ringel. "The impact of Airbnb on a non-touristic city. A Case study of short-term rentals in Santa Cruz de Tenerife (Spain)." Erdkunde 74, no. 3 (September 30, 2020): 191–204. http://dx.doi.org/10.3112/erdkunde.2020.03.03.
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Short-term rentals such as Airbnb have become a persistent element of today’s urbanism around the globe. The impacts are manifold and differ depending on the context. In cities with a traditionally smaller accommodation market, the impacts might be particularly strong, as Airbnb contributes to ongoing touristification processes. Despite that, small and medium-sized cities have not been in the centre of research so far. This paper focuses on Santa Cruz de Tenerife as a medium-sized Spanish city. Although embedded in the touristic region of the Canary Islands, Santa Cruz is not a tourist city per se but still relies on touristification strategies. This paper aims to expand the knowledge of Airbnb’s spatial patterns in this type of city. The use of data collected from web scraping and geographic information systems (GIS) demonstrates that Airbnb has opened up new tourism markets outside of the centrally established tourist accommodations. It also shows that the price gap between Airbnb and the housing rental market is broadest in neighbourhoods that had not experienced tourism before Airbnb entered the market. In the centre the highest prices and the smallest units are identified, but two peripheral quarters stand out. Anaga Mountains, a natural and rural space, has the highest numbers of Airbnb listings per capita. Suroeste, a suburban quarter, shows the highest growth rates on the rental market, which implies a linkage between Airbnb and suburbanization processes.
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Chatterjee, Devlina, Bahul Dandona, Aditya Mitra, and Manohar Giri. "Airbnb in India: comparison with hotels, and factors affecting purchase intentions." International Journal of Culture, Tourism and Hospitality Research 13, no. 4 (December 11, 2019): 430–42. http://dx.doi.org/10.1108/ijcthr-05-2019-0085.
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Purpose The purpose of this paper is to understand Indian tourists’ perceptions of Airbnb compared to other hospitality options, and the factors driving their purchase intentions. Design/methodology/approach An integrated model for purchase intention was conceptualized based on the theory of planned behavior and social exchange theory. Constructs such as trust, authenticity, travel innovativeness, price sensitivity and effort expectancy were included based on a survey of the literature. Structural equation models were built using survey data. Respondent ranking of different criteria for Airbnb vs its competitors were aggregated using Borda count method. Findings Price is the most important criteria across hospitality choices, including Airbnb, except high-end hotels. Facilities, home-like feeling, trust and friendly service were important for Airbnb. Consumer expectations from Airbnb are similar to homestays, mid-range and budget hotels and different from resorts and high-range hotels. In the theory of planned behavior model, trust in Airbnb and perceived authenticity had large significant positive effects on purchase intention, mediated by attitude. Social norms and effort expectancy had direct positive effects on behavioral intentions. Price sensitivity had a direct small negative effect on purchase intention. Overall, fit of the model was within acceptable parameters. Originality/value Despite being an important emerging market, Airbnb in India has not been covered by studies of consumer behavior. This paper fills that research gap. Airbnb’s main competitors are home-stays and mid-range hotels. Building trust, creating authentic experiences and ensuring price competitiveness will drive adoption.
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Stewart, Remy. "Authenticity for Rent? Airbnb Hosts and the Commodification of Urban Displacement." Proceedings of the ACM on Human-Computer Interaction 6, CSCW2 (November 7, 2022): 1–28. http://dx.doi.org/10.1145/3555594.
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Airbnb as an online short-term rental marketplace has had significant impact on the housing dynamics of major metropolitan regions. This work examines Airbnb's relationship with urban residential displacement through the dual phenomena of neighborhood gentrification as the loss of low-income households along with neighborhood exclusion as the preservation of elite enclaves without affordable housing options available to low-income households. I feature approximately 15 thousand unique San Francisco Airbnb listings spanning from 2016 to 2021 to investigate how Airbnb hosts employ cultural rhetoric associated with urban displacement to advertise their units' neighborhoods. I employ a computational mixed-methods design by combining natural language processing techniques with qualitative content analysis to examine how hosts differ in their cultural representations of their listing's neighborhoods by its relationship with residential displacement. My findings highlight the pervasiveness of rhetoric focusing on the authenticity and diversity of gentrifying neighborhoods contrasted to the safety and family-friendliness of exclusionary neighborhoods as a key strategy Airbnb hosts use to commercialize their listings. These findings underscore the reinforcing dynamics between regional Airbnb markets and urban displacement, with subsequent implications towards the ongoing marginalization of longstanding residential communities within contemporary cities.
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Törnberg, Petter, and Letizia Chiappini. "Selling black places on Airbnb: Colonial discourse and the marketing of black communities in New York City." Environment and Planning A: Economy and Space 52, no. 3 (January 5, 2020): 553–72. http://dx.doi.org/10.1177/0308518x19886321.
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Airbnb has recently become a growing topic of both concern and interest for urban researchers, policymakers, and activists. Previous research has emphasized Airbnb’s economic impact and its role as a driver of residential gentrification, but Airbnb also fosters place entrepreneurs, geared to extract value from a global symbolic economy by marketing the urban frontier to a transnational middle class. This emphasizes the cultural impact of Airbnb on cities, and its power of symbolizing and communicating who belongs in specific places, responding to questions of class, gender, and ethnicity—and thereby potentially driving cultural displacement. Coming from this perspective, this paper uses computational critical discourse analysis to study how white and black hosts market black-majority neighborhoods in New York City on Airbnb, and how guests describe their consumption experience. The analysis shows how white entrepreneurs attempt to attract guests through a form of colonial discourse: exoticizing difference, emphasizing foreignness, and treating communities as consumable experiences for an outside group. White visitors, in turn, consume these cultural symbols to decorate their own identities of touristic consumption, describing themselves in colonial tropes of brave white adventurers exploring uncharted territories: glorious conquests no longer over gold and ivory, but over sandwiches at a local bodega. This situates Airbnb’s marketing at the urban frontier in a longer history of colonialism and racialized expropriation.
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Vakhariya, Shital. "Airbnb: The emerging player of Sharing Economy in UAE." Case Studies in Business and Management 4, no. 2 (December 12, 2017): 144. http://dx.doi.org/10.5296/csbm.v4i2.12285.
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Based in San Francisco, California, Airbnb is a trusted community marketplace catered to the people who wish to list, discover, and book unique accommodations around the world- online or from the mobile phone or tablet. It was founded in August of 2007 and in summer 2008 they found the perfect kick-start for their business (Note 1).The Airbnb’s model has always kept its overheads and operating leverage (fixed asset investment) low by using online app and host and guest business model. With low pricing strategy model and tailored offerings to the needs of many segments with varying needs and price points, Airbnb became a threat to many budgeted hotels in globally and especially in UAE where the cost of living is comparatively high. To convey the challenges faced by Airbnb, the case introduces the background of the Sharing Economy, highlights the strategies adopted by Airbnb, and sheds light on future opportunities.However, Airbnb had faced several challenges like breaching the laws, illegal listing, renting period, limited in-country assets or workforce, etc. Now Airbnb teaming up with UAE government, which certainly presented its own set of challenges in this sharing economy. (Note 2)The case is suitable for Innovation and Strategy courses that require students to understand various risk elements in the new venture and role of innovation in the success of a new business. It is an attempt to illustrate a starts up can grow and differentiate itself by adopting “Blue Ocean Strategy”.
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Wang, Haoran, Zejia Su, and Yang Yang. "What Factors Influence the Price of Airbnb Listings in New York City?" Applied and Computational Engineering 131, no. 1 (February 8, 2025): 262–74. https://doi.org/10.54254/2755-2721/2024.20711.
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This paper explores what factors influence the price of Airbnb listings in New York City. As a key participant in the short-term rental business, Airbnb contributes significantly to the local economy by providing a platform for connecting property owners and tourists. The purpose of this study is to improve our understanding of the ways in which these factors impact Airbnb listings profitability and to offer suggestions for the most effective pricing tactics. This study uses a publicly available dataset from Kaggle that contains details on Airbnb listings in New York City. This dataset includes information such as room type, location, neighborhood, cleanliness, availability of bedrooms and bathrooms, accommodation capacity, available days of the year, and the number of beds, along with feedback from guests about their stays. By conducting a thorough correlation analysis, the research examines how these different factors affect nightly prices. In addition, the research studies the relation between occupancy and price using Times Square as a center point, which is calculated by Haversine formula. The findings indicate a strong relationship between these factors and Airbnbs economic performance. According to the results, properties in prominent locations, with higher cleanliness ratings, more bedrooms and baths, bigger accommodation capacity, and more available days, tend to command higher costs and higher occupancy rates. This highlights the importance of these traits in making Airbnb rentals more profitable. Additionally, the study provides helpful advice to property owners on how to improve their listings. Hosts may considerably enhance room occupancy and total revenues by modifying parameters like as pricing, location, room type, and amenities in response to the findings. This study contributes to a better knowledge of short-term rental market dynamics and provides useful advice for optimizing economic returns in the Airbnb marketplace. correlation analysis; Haversine formula.
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Agapitou, Chrysa, Anna Liana, Dimitrios Folinas, and Aggeliki Konstantoglou. "Airbnb Is Customers’ Choice: Empirical Findings from a Survey." Sustainability 12, no. 15 (July 30, 2020): 6136. http://dx.doi.org/10.3390/su12156136.
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The main objective of this paper is to identify the incentives (strengths) that attract tourists to use the Airbnb platform. Moreover, Airbnb tourists’ expectations are compared to the services provided by hotels in order to assess their possible weaknesses. Via a quantitative survey that includes the exploration of the knowledge and use of this platform, a comparative analysis of the levels of agreement, along with a disagreement with the various incentives, are identified in order to highlight how important the practical factors for Airbnb’s choice are. The results show that the hotel industry is actually exposed to Airbnb’s existence and clearly disputes the statement as to whether Aibnb complements or just competes with traditional accommodations.
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Agarwal, Vinod, James V. Koch, and Robert M. McNab. "Differing Views of Lodging Reality: Airdna, STR, and Airbnb." Cornell Hospitality Quarterly 60, no. 3 (October 29, 2018): 193–99. http://dx.doi.org/10.1177/1938965518777218.
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Airbnb is an Internet-based firm that connects potential short-term renters with hosts who own or control rental properties. Its rapidly expanding activities are tracked by Airdna, an independent firm that generates seemingly conventional performance metrics describing Airbnb. These metrics include occupancy rates, average daily rates, and revenue per available room. However, Airdna does not adhere to long-established STR definitions for these variables. Using data from Virginia Beach, Virginia, we demonstrate that Airdna’s performance metrics exhibit notable upward biases vis-á-vis STR’s metrics. Potential rental hosts, hoteliers, tax collectors, and investors are at risk if they act on the assumption that Airdna’s metrics are comparable with widely understood measures used by STR and tourism experts.
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Sarkar, Avijit, James B. Pick, and Shaista Jabeen. "Spatiotemporal Patterns and Socioeconomic Influences on Host Participation in Short-Term Rental Markets: Airbnb in San Francisco." ISPRS International Journal of Geo-Information 13, no. 1 (December 20, 2023): 4. http://dx.doi.org/10.3390/ijgi13010004.
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This paper examines spatiotemporal patterns and socioeconomic influences on host participation in Airbnb’s short-term rental (STR) marketplace in San Francisco during the years 2019–2022, a four-year period that spans the COVID-19 pandemic. This provides the motivation for the study to examine how San Francisco’s demographic and socioeconomic fluctuations influenced Airbnb hosts to rent their properties on the platform. To do so, Airbnb property densities, indicators of host participation, are estimated at the census tract level and subsequently mapped in a GIS along with points of interest (POIs) located all over the city. Mapping unveils spatiotemporal patterns and changes in Airbnb property densities, which are also analyzed for spatial autocorrelation using Moran’s I. Clusters and outliers of property densities are identified using K-means clustering and geostatistical methods such as local indicators of spatial association (LISA) analysis. Locationally, San Francisco’s Airbnb hotspots are not located in the city’s core, unlike other major Airbnb markets in metropolitan areas. Instead, such hotspots are in the city’s northeastern neighborhoods around ethnic enclaves, in close proximity to POIs that are frequented by visitors, and have a higher proportion of hotel and lodging employment and lower median household income. A conceptual model posits associations of Airbnb property densities with sixteen demographic, socioeconomic factors, indicators of trust, social capital, and sustainability, along with proximity to points of interest. Ordinary least squares (OLS) regressions reveal that occupation in professional, scientific, and technical services, hotel and lodging employment, proximity to POIs, and proportion of Asian population are the dominant factors influencing host participation in San Francisco’s shared accommodation economy. The occupational influences are novel findings for San Francisco. These influences vary somewhat for two main types of properties—entire home/apartment and private rooms. Implications of these findings are discussed in relation to supply side motivations of Airbnb hosts to participate in San Francisco’s STR marketplace.
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Bao, Helen X. H., and Saul Shah. "The Impact of Home Sharing on Residential Real Estate Markets." Journal of Risk and Financial Management 13, no. 8 (July 25, 2020): 161. http://dx.doi.org/10.3390/jrfm13080161.
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This paper explores the effects of home-sharing platforms in general and Airbnb in particular on rental rates at a neighbourhood level. Using consumer-facing Airbnb data from ten neighbourhoods located within large metropolitan areas in the U.S. between 2013–2017, as well as rental data from the American online real estate database company, Zillow, this paper examines the relationship between Airbnb penetration and rental rates. The results indicate that the relationship is not as unanimous as once thought. Viewing the relationship at an aggregate level, an approach used by many researchers in the past, hides the complexities of the underlying effects. Instead, Airbnb’s impact on rental rates depends on a neighbourhood’s individual characteristics. This study also urges policy makers to create tailor-made solutions that help curb the negative impacts associated with the platform whilst still harnessing its economic benefits.
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Berger, Paul D., Qiuyi Chen, Jiaye Tang, and Muhammad Furqan. "Exploring Importance of Onnlin;e Review on Price." Advances in Social Sciences Research Journal 7, no. 1 (January 28, 2020): 358–66. http://dx.doi.org/10.14738/assrj.71.7676.
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This paper considers the importance of online reviews and their effects on different parameters of a business’ product or service. We use Airbnb as our source of data and tested customer reviews and other variables within the business to determine their influence on Airbnb’s price. We performed our study primarily by using stepwise regression analyses. The results of our analysis are potentially helpful for businesses to develop their marketing and pricing strategies based on how significant variables are.
Keywords: Airbnb, number of reviews, overall satisfaction score, stepwise regression analysis, pricing strategy
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Boswijk, Albert. "Transforming Business Value through Digitalized Networks: A Case Study on the Value Drivers of Airbnb." Journal of Creating Value 3, no. 1 (April 27, 2017): 104–14. http://dx.doi.org/10.1177/2394964317697736.
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The purpose and central question of this article is to demonstrate that the process of innovation and value creation is more than a one-dimensional activity and that it needs to be considered as a holistic ecosystem, consisting of five interdependent drivers. This article on such an ecosystem was inspired by research on the Competing Values Framework ( Quinn & Rohrbaugh, 1983 ). The article demonstrates the application of the framework on the disrupting business model of Airbnb in the domain of digitalized hospitality networks. The data and the insights in this study are based on interviews the author conducted with Airbnb staff, hosts, and guests, on previous research and on data from Airdna (2015–2016) compared with public data on Airbnb. This case study demonstrates a new form of participatory business value, co-created between hosts, guests and the digitalized network provider, creating a unique authentic guest experience in a networked environment.
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Yi, Bowen, Da Shi, Fangfang Shi, and Liang Zhang. "Do the flipped impacts of hotels matter to the popularity of Airbnb?" International Journal of Contemporary Hospitality Management 33, no. 6 (February 4, 2021): 2239–63. http://dx.doi.org/10.1108/ijchm-06-2020-0582.
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Purpose By building on cooperation–competition theory, this study aims to investigate the multidimensional flipped effects of neighborhood hotels on Airbnb listings’ popularity, examining the degree to which such impacts are influenced by hotel types and geographical areas. Design/methodology/approach This study explores the interdependent and competitive relationship between neighborhood hotels and Airbnb from the perspective of effects on Airbnb listings’ popularity by exploring a data set covering 10,492 Airbnb listings and 2,691 hotels from Ctrip. Findings Results reveal that neighborhood hotels’ number of reviews, review ratings and prices each have positive spillover effects on Airbnb listings’ popularity, while quality assurance labels and negative review topic sentiments exert competitive effects on Airbnb popularity. Moreover, the number of budget chain hotels and high-star hotels have positive and negative effects on Airbnb popularity, respectively. Geographical areas also have a moderating effect on the relationship between various hotel-related influencing factors and Airbnb. Practical implications This study can offer hotel managers and Airbnb operators a clearer understanding of these businesses’ coexisting relationship. Findings can also provide Airbnb-specific guidelines for practitioners in terms of site selection, promotional features and development strategies for Airbnb listings. Originality/value This study establishes a cooperation–competition relationship model between hotels and Airbnb and considers the flipped effects of hotels on Airbnb for the first time. It expands previous studies by considering the multidimensional effects of hotels on Airbnb listings’ popularity and by examining the influences of hotel types and geographical areas on hotels’ impacts on Airbnb.
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Alexander, Jacqui. "Domesticity On-Demand: The Architectural and Urban Implications of Airbnb in Melbourne, Australia." Urban Science 2, no. 3 (September 12, 2018): 88. http://dx.doi.org/10.3390/urbansci2030088.
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The home-sharing platform, Airbnb, is disrupting the social and spatial dynamics of cities. While there is a growing body of literature examining the effects of Airbnb on housing supply in first-world, urban environments, impacts on dwellings and dwelling typologies remain underexplored. This research paper investigates the implications of “on-demand domesticity” in Australia’s second largest city, Melbourne, where the uptake of Airbnb has been enthusiastic, rapid, and unregulated. In contrast to Airbnb’s opportunistic use of existing housing stock in other global cities, the rise of short-term holiday rentals and the construction of new homes in Melbourne has been more symbiotic, perpetuating, and even driving housing models—with some confronting results. This paper highlights the challenges and opportunities that Airbnb presents for the domestic landscape of Melbourne, exposing loopholes and grey areas in the planning and building codes which have enabled peculiar domestic mutations to spring up in the city’s suburbs, catering exclusively to the sharing economy. Through an analysis of publically available spatial data, including GIS, architectural drawings, planning documents, and building and planning codes, this paper explores the spatial and ethical implications of this urban phenomenon. Ultimately arguing that the sharing economy may benefit from a spatial response if it presents a spatial problem, this paper proposes that strategic planning could assist in recalibrating and subverting the effects of global disruption in favor of local interests. Such a framework could limit the pernicious effects of Airbnb, while stimulating activity in areas in need of rejuvenation, representing a more nuanced, context-specific approach to policy and governance.
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Gómez, Mario, Narciso Salvador Tinoco Guerrero, and Luis Manuel Tinoco Guerrero. "The influence of Airbnb on hotel occupancy in Mexico: a Big Data Analysis (2007-2018)." Revista Cimexus 16, no. 1 (June 2021): 9–32. http://dx.doi.org/10.33110/cimexus160101.
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The main objective of this paper is to analyze the influence that the usage of the Airbnb’s platform has had on hotel occupancy in Mexico during 2007- 2018 period. The Hotel Classification System is considered to know if there are differences in this influence, according to hotels’ category. To obtain the information from Airbnb, an application was created that extracted the public information of each lodging published on the website. Results were estimated by using the panel data econometric methodology, showing that the only negative impact the usage of Airbnb has on hotel occupancy is in 4-star hotels, and that an increase in the price of Airbnb’s lodgings produces a rise in hotel occupancy. In other hotel categories there is no negative effect. An implication is that the usage of platforms like the one studied can be moderately regulated in Mexico.
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Dann, David, Timm Teubner, and Christof Weinhardt. "Poster child and guinea pig – insights from a structured literature review on Airbnb." International Journal of Contemporary Hospitality Management 31, no. 1 (January 14, 2019): 427–73. http://dx.doi.org/10.1108/ijchm-03-2018-0186.
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PurposeA growing body of research from various domains has investigated Airbnb, a two-sided market platform for peer-based accommodation sharing. The authors suggest that it is due time to take a step back and assess the current state of affairs. This paper aims to conflate and synthesize research on Airbnb.Design/methodology/approachTo facilitate research on Airbnb and its underlying principles in electronic commerce, the authors present a structured literature review on Airbnb.FindingsThe findings are based on 118 articles from the fields of tourism, information and management, law and economics between 2013 and 2018. Based on this broad basis, the authors find that: research on Airbnb is highly diverse in terms of domains, methods and scope; motives for using Airbnb are manifold (e.g. financial, social and environmental); trust and reputation are considered crucial by almost all scholars; the platform’s variety is reflected in prices; and the majority of work is based on surveys and empirical data while experiments are scarce.Practical implicationsBased on the present assessment of studied topics, domains, methods and combinations thereof, the authors suggest that research should move toward building atop of a common ground of data structures and vocabulary, and that attention should focus on the identified gaps and hitherto scarcely used combinations. The set of under-represented areas includes cross-cultural investigations, field experiments and audit studies, the consideration of dynamic processes (e.g. based on panel data), Airbnb’s “experiences” and automated pricing algorithms and the rating distribution’s skewness.Originality/valueThis study provides a comprehensive overview of work on the accommodation sharing platform Airbnb, to the best of the auhtors’ knowledge, representing the first systematic literature review. The authors hope that researchers and practitioners alike will find this review useful as a reference for future research on Airbnb and as a guide for the development of innovative applications based on the platform’s peculiarities and paradigms in electronic commerce practice. From a practical perspective, the general tenor suggests that hotel and tourism operators may benefit from: focusing on their core advantages over Airbnb and differentiating features and aligning their marketing communication with their users’ aspirations.
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Ki, Donghwan, and Sugie Lee. "Spatial Distribution and Location Characteristics of Airbnb in Seoul, Korea." Sustainability 11, no. 15 (July 30, 2019): 4108. http://dx.doi.org/10.3390/su11154108.
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The popularity of the sharing economy, including organizations such as Airbnb and Uber, has increased rapidly over the last few years. Regarding Airbnb, several studies have demonstrated potential problems related to it, such as rising housing costs and worsening residential environments. Despite its popularity and possibility of problems, however, the locational characteristics of Airbnb have not been thoroughly examined in the urban planning and public policy fields. Therefore, this study analyzed the locational characteristics of Airbnb in Seoul and identified potential problems in urban planning. First, we analyzed an operation status of Airbnb in terms of the commercial host. After that, we identified spatial distributions of Airbnb and examined influential factors that affected the locational characteristics of Airbnb using a negative binomial regression model. The results of this study are as follows. First, a considerable number of units were operated by commercial hosts, in contrast to the original concept of Airbnb as being part of the sharing economy. This finding indicates that there would be a potential conflict between Airbnb businesses and housing policy in urban areas. Second, Airbnb units were mainly located in residential areas, especially around multiplexes and townhouses. This finding indicates that Airbnb may decrease the availability of housing in the housing market. Third, Airbnb units were located preferentially in areas adjacent to universities or subway stations, as well as in areas with high ratios of single-person households. Considering these characteristics of Airbnb and the directions of government housing policy, urban scholars and policymakers should pay close attention to the potential conflict between the spatial distributions of Airbnb units and housing policies.
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LEKGAU, Refiloe Julia, Tracy DANIELS, and Tembi Maloney TICHAAWA. "SHARING ECONOMY AND INCLUSIVE TOURISM DEVELOPMENT: A CASE STUDY ON THE WATERBERG DISTRICT IN SOUTH AFRICA." GeoJournal of Tourism and Geosites 56, no. 4 (December 31, 2024): 1542–50. http://dx.doi.org/10.30892/gtg.56411-1325.
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The purpose of the study was to analyse inclusive tourism development in the Global South, using a case study of Airbnb’s interventions in the Waterberg District of South Africa. Adopting a qualitative approach, the research was conducted in three phases. The first phase consisted of a focus group held with Airbnb representatives who were involved in the planning and operations of the programme. The second and third phases involved in-depth interviews with Airbnb partners and graduates of the Airbnb Academy, respectively. The findings reveal that previously excluded groups were able to become tourism producers, through the skills development programme, joining the Airbnb app, and the tangible outcomes from the interventions. The programme also widened the scope of opportunities for members who previously did not identify as part of the tourism value chain. Further, there was a notable change in the tourism landscape, now involving experiences that are more authentic and representative of the culture and lifestyle of the community. However, the tourism industry is prevalently white-owned, presenting substantial challenges for graduates of the programme to tap into the tourism market. The findings confirm that inclusive tourism is intrinsically embedded in the local context: politics, economy, and society. In this regard, the study expands and contextualises the literature on inclusive tourism development in the Global South.
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Weng, Yinuo. "Explore How to Refine Social Media Marketing Strategies and Shape Consumer Travel Preferences: An In-depth Study on Airbnb." Advances in Economics, Management and Political Sciences 74, no. 1 (April 17, 2024): 68–74. http://dx.doi.org/10.54254/2754-1169/74/20241499.
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In a post-COVID-19 era of digital transformation and a gradually recovering tourism economy, the travel industry must continually seek innovative ways to enhance social media marketing strategies and better understand consumer behaviour. This paper provides insights into how social media marketing strategy optimisation can shape consumer travel preferences. Using Airbnb as a case study, this paper analyses the social media comments of Airbnb users to reveal consumers' overall positive attitudes towards Airbnb's services through sentiment analysis and explore how methods such as predictive analytics can be used to tailor social media marketing campaigns to provide a more personalised and effective service to potential travellers. The results show that consumers are very concerned about whether the service experience differs from what is advertised on social media, such as quality of accommodation, customer service and pricing strategies. Therefore, Airbnb should prioritise consumer feedback, improve social media content quality, and use predictive analytics to identify its target audience. Future research should incorporate diverse data sources and advanced analytics techniques to understand consumer needs better, establish stronger customer connections, and influence travel choices.
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Poon, Ka Yin, and Wei-Jue Huang. "Past experience, traveler personality and tripographics on intention to use Airbnb." International Journal of Contemporary Hospitality Management 29, no. 9 (September 11, 2017): 2425–43. http://dx.doi.org/10.1108/ijchm-10-2016-0599.
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Purpose This study aims to identify the individual and trip characteristics that are associated with intention to use peer-to-peer accommodation, including past experience (users vs non-users), accommodation preferences, traveler personality and tripographic variables. Design/methodology/approach To compare Airbnb users and non-users, quantitative research was conducted to test for group differences. A questionnaire was designed and administered face-to-face in major tourist areas. Quota sampling was used to ensure comparable samples of Airbnb users and non-users. Findings While Airbnb users and non-users expressed few differences in their demographics and perceived importance of accommodation attributes, the two groups vary in their perception of Airbnb and evaluation of Airbnb compared to hotels, suggesting some positive and negative changes after experiencing Airbnb. Respondents who were more allocentric were more likely to use Airbnb. Hotels were preferred for traveling with family as well as shorter trips, while Airbnb was preferred for traveling with friends as well as longer trips. Practical implications This study identified several challenges for Airbnb and other sharing platforms, including consumers’ security concerns, potential decrease in the likelihood of repeat usage and low likelihood of using Airbnb when traveling with family. Originality/value While previous studies focused more on existing customers of peer-to-peer accommodation, this study compared users and non-users and identified key differences in their perceptions. The use of traveler personality and tripographic variables to examine intention to use Airbnb provides a unique perspective to consider Airbnb as an “allocentric destination” and the type of trips that are more compatible with the Airbnb experience.
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Mann, Peter. "Airbnb-Immobilienvermittlung." Internationale SteuerRundschau 12, no. 3 (March 1, 2023): 84–87. http://dx.doi.org/10.9785/isr-2023-120306.
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Chevrier, Océane L. "The Impact of Airbnb Expansion on Real Estate Speculation in Marseille’s Tourist Areas." Law and Economy 3, no. 10 (October 2024): 7–13. http://dx.doi.org/10.56397/le.2024.10.02.
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This paper investigates the impact of Airbnb’s expansion on real estate speculation in Marseille’s tourist areas, particularly focusing on the Old Port and Le Panier districts. By analyzing the correlation between the growth of short-term rental platforms and the increase in property values, the study explores how Airbnb has transformed the housing market, contributing to speculative investment and gentrification. The research examines the reduction in long-term rental housing, the rising cost of property, and the displacement of local residents as key outcomes of Airbnb’s proliferation. Through comparisons with similar European cities such as Paris and Madrid, the paper highlights the socio-economic consequences of Airbnb-driven real estate speculation, including shifts in neighborhood demographics and the loss of affordable housing for low- and middle-income residents. The findings emphasize the need for policy interventions to mitigate the negative effects of short-term rentals on the local housing market, balancing tourism-driven economic growth with the preservation of community stability and housing accessibility.
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Mao, Zhenxing, and Jiaying Lyu. "Why travelers use Airbnb again?" International Journal of Contemporary Hospitality Management 29, no. 9 (September 11, 2017): 2464–82. http://dx.doi.org/10.1108/ijchm-08-2016-0439.
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Purpose The purpose of this study is to examine the psychological factors that motivate travelers to consider reusing Airbnb. Design/methodology/approach This study proposes and tests an integrative model that synthesizes the Theory of Planned Behavior (TPB), Prospect Theory (PT) and other Airbnb-relevant constructs (unique experience expectation, familiarity and electronic word of mouth) as the primary determinants of the Airbnb repurchase intention using an structural equation model (SEM) approach. Findings Both attitude and subject norms are significant determinants of repurchase intention, whereas perceived behavioral control is not. In addition, perceived value and risk have only direct significant impacts on attitude and, in turn, indirectly affect repurchase intention. Unique experience expectation, familiarity and electronic word of mouth exert direct and indirect influences on repurchase intention. Research limitations/implications This study extends the body of knowledge by integrating TPB and PT to investigate consumer repurchase intention in Airbnb, which provides a theoretical baseline and serves as a starting point for exploring the structural relationships of Airbnb and the sharing economy. Practical implications Airbnb should place more emphasis on value packages and authentic/unique travel experience to retain and attract more travelers. More safety/security programs should be put in place and clearly communicated to reduce the perceived risks. In addition, Airbnb may publicize positive word of mouth and introduce and expand familiarity programs to incentivize Airbnb travelers. Originality/value This study explores the psychological reasons why travelers will re-patronize Airbnb, providing insights into the motives of Airbnb travelers. A clear understanding of Airbnb travelers’ repurchase intention will facilitate to develop effective strategies for Airbnb to induce positive repurchase behaviors.