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Journal articles on the topic 'Perception of the Airbnb impact'

Author: Grafiati

Published: 24 September 2021

Last updated: 30 July 2025

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1

RĂBOJ, Daniela. "The Impact of Airbnb Platforms on the Romanian Real Estate Market." Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Horticulture 76, no. 2 (2019): 245. http://dx.doi.org/10.15835/buasvmcn-hort:2019.0036.

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Airbnb or other similar platforms have evolved greatly in recent years and managed to change the perception of accommodation, in the same manner as Uber has changed the perception of public transport. Renting for tourism purposes, through Airbnb type platforms, has a direct impact on investors, state institutions, real estate markets and so on. The purpose of this paper is to analyze the effect of Airbnb type platforms on the Romanian real estate market and to describe the difficulties encountered in evaluating the properties that produce hotel rental income. These analyzes are intended in ord

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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 (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 exp

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Ni Tara, Kou Dan. "The impact of COVID-19 on sharing economy in Singapore: Role of customer’s perceived risk." BCP Business & Management 38 (March 2, 2023): 2204–23. http://dx.doi.org/10.54691/bcpbm.v38i.4081.

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The unprecedented COVID-19 pandemic has had a significant impact on the tourism industry. Previous research has studied the perspective of Airbnb hosts, but rarely mentioned the effect on consumer choice. As consumer choices may be driven by their risk perceptions, how COVID-19 may influence is not well-understood. This paper aims to investigate how COVID-19 may change consumer risk perception on different Airbnb listings, and such an impact on risk perception may affect their choices and overall business performance. The paper utilizes large-scale data about customer reviews and listing chara

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Parantika, Asep, and RR Cindy Diana Nadia Lolita. "Psychological Effect of Customers to The Re-Purchase Decision of AirBNB Accommodation Facilities in Jakarta." Media Wisata 19, no. 2 (2021): 146–53. http://dx.doi.org/10.36276/mws.v19i2.116.

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Attitude repurchase decision influenced by other three components, which are stay experience. This article aims to discover the psychological effect of customers’ service on the re-purchase decision of AirBNB accommodation facilities in Jakarta. The research uses quantitative analysis. The data collection technique used is questionnaire circulation and literature reviews. The result shows that there are three components influencing respondents to reuse AirBNB services, which are Motivation, Perception, and, Users Review, and Price Sensitivity. Every component provides each influence in determi

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Esparza Rodríguez, Saúl Alfonso, and Jaime Apolinar Martínez Arroyo. "Department location: Factor for Airbnb user’s valuation perception." Mercados y Negocios, no. 40 (July 5, 2019): 23–42. http://dx.doi.org/10.32870/myn.v0i40.7361.

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The objective is to analyze the impact of the location in the quality perception of customers. Data was obtained from the stars-based valuation of Airbnb website, considering a standardized option of accommodation just apartments of one room up to two guest maximum, with an average cost of USD 50 per night and located in four cities: New York and Miami in USA, and Mexico City and Cancun in Mexico, using a chi-square analysis to identify if there is a difference in quality perception considering if the destination place have beach or not. The results showed than departments located in New York

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Kang, Minhyung. "Factors Affecting a Listing's Popularity on Airbnb." Jeju National University Tourism, Business, and Economic Research Institute 43, no. 2 (2023): 1–24. http://dx.doi.org/10.24907/jtir.2023.43.2.1.

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This study aims to understand the factors that influence the popularity of listings on Airbnb. For this purpose, data on the attributes of hosts (who are service providers), the attributes of listings (which are the core facilities of the Airbnb service), and the content of reviews (which represent the existing customers' perceptions of their experience) were obtained from Inside Airbnb, a non-for-profit data site related to Airbnb. To develop the research hypotheses, the effects of the five sub-dimensions of the SERVQUAL model, perceived value, and review sentiment on the popularity of a list

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Garau-Vadell, Joan B., Desiderio Gutiérrez-Taño, and Ricardo Díaz-Armas. "Residents’ Support for P2P Accommodation in Mass Tourism Destinations." Journal of Travel Research 58, no. 4 (2018): 549–65. http://dx.doi.org/10.1177/0047287518767067.

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Recently, the sharing economy has made a disruptive incursion into the tourism industry. Companies like Airbnb or Wimdu have successfully developed platforms that grant access to accommodation in private homes. However, it seems that conflicts with locals have arisen in different destinations. This study provides an explanatory model to show how the perception of the impacts of the activity influences residents’ attitudes and support. The model was examined using a sample of 1,088 residents in Tenerife (Spain). Results confirm that resident support is directly and positively affected by their

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Li, Jiemei. "How Do Information Quality, E-service Quality, And System Quality Enhance Customer Satisfaction for Airbnb?" International Journal of Education and Humanities 13, no. 2 (2024): 29–45. http://dx.doi.org/10.54097/knn3fq40.

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This research study delves into the dynamic interplay between information quality, service quality, e-service quality, customer satisfaction, repurchase intention, and customer loyalty within the Airbnb platform, offering significant insights and practical implications for the sharing economy and online platforms. Utilizing a quantitative research approach, the study examines the complex relationships among these factors, drawing on empirical evidence to enhance our understanding of consumer behavior in the context of Airbnb. The study's findings reveal a significant positive correlation betwe

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Wang, Zhao, and Aron Culotta. "When Do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception Using Individual Treatment Effect Estimation." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 7233–40. http://dx.doi.org/10.1609/aaai.v33i01.33017233.

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Studies across many disciplines have shown that lexical choice can affect audience perception. For example, how users describe themselves in a social media profile can affect their perceived socio-economic status. However, we lack general methods for estimating the causal effect of lexical choice on the perception of a specific sentence. While randomized controlled trials may provide good estimates, they do not scale to the potentially millions of comparisons necessary to consider all lexical choices. Instead, in this paper, we first offer two classes of methods to estimate the effect on perce

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Zamani, Efpraxia D., Jyoti Choudrie, George Katechos, and Yaping Yin. "Trust in the sharing economy: the AirBnB case." Industrial Management & Data Systems 119, no. 9 (2019): 1947–68. http://dx.doi.org/10.1108/imds-04-2019-0207.

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Purpose The purpose of this paper is to examine sharing economy online marketplaces with the aim of understanding how trust perceptions form and get communicated through sharing economy platforms. Design/methodology/approach The authors build on online user comments and reviews as aggregated by independent third-party websites, and apply a qualitative analysis. Findings The findings show that the quantity of information and communication are important drivers towards building trust perceptions, while an overall lack of interaction between users and the marketplace provider intensifies perceive

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Lee, Sanghyun, Sounman Hong, Won-Yong Shin, and Bong Gyou Lee. "The Experiences of Layoff Survivors: Navigating Organizational Justice in Times of Crisis." Sustainability 15, no. 24 (2023): 16717. http://dx.doi.org/10.3390/su152416717.

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This study explores the impact of COVID-19 layoffs on surviving employees’ perceptions at Airbnb, a key player in the hospitality industry, during the global pandemic. The crisis brought organizational justice into sharp focus, raising questions about fairness, employee satisfaction, and trust in management. Utilizing an interpretivist approach, we conducted fifteen semi-structured interviews with Airbnb employees who survived the layoffs. Accompanied by a comprehensive literature review, our analysis delved into the challenges these employees encountered. The thematic analysis uncovered insig

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Hany B. Moussa, Mohamed, Mohamed Tawfeek Essawy,, Fabio Naselli, and Islam Momtaz Mohamed. "Perceptions of Using Private Dwellings at Gamaleyah as Airbnb Rent Listings in Old Historic Cairo." ATHENS JOURNAL OF TOURISM 8, no. 1 (2021): 55–74. http://dx.doi.org/10.30958/ajt.8-1-4.

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The social movement renowned as the "sharing economy" is becoming increasingly noticeable in online peer-to-peer platforms recently. One of these platforms is Airbnb; an accommodation marketplace that offers access to alternative accommodation. These platforms have a mega important socio-economic impact on tourist destinations. Old Cairo historic area encounters a lot of historical, heritage, and cultural features and folklores. Many owners of private homes in the area use them to accommodate guests and visitors to the area. Unfortunately, this is taking place under no organization or control

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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 (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 perc

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Guizi, Alan, Zélia Breda, and Rui Costa. "How are overtourism and host–guest relationships portrayed by the Portuguese print media?" International Journal of Tourism Cities 6, no. 1 (2020): 215–32. http://dx.doi.org/10.1108/ijtc-06-2019-0081.

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Purpose The purpose of this paper is to understand the main perceived impacts of overtourism in Portugal and the reactions of tourism stakeholders in the main Portuguese cities, especially the host. Design/methodology/approach This study uses a qualitative approach, based on the analysis of news published in Portuguese newspapers between March 2018 and March 2019, applying Bardin’s (2011) content analysis and matching with the theory as proposed by Laville and Dionne (1999). Findings The study reveals that the main perceived impacts are the evictions and transformation of old residence into sh

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Petruzzi, Marina A., Gabriela S. Marques, Manuel do Carmo, and Antonia Correia. "Airbnb and neighbourhoods: an exploratory study." International Journal of Tourism Cities 6, no. 1 (2020): 72–89. http://dx.doi.org/10.1108/ijtc-08-2019-0119.

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Purpose This study aims to identify residents’ perceptions of the impacts of Airbnb through an exploratory study that accounts for 94 residents in Lisbon, Portugal, in neighbourhoods with a high number of accommodations listed on the Airbnb platform. Design/methodology/approach A quantitative research was conducted. A questionnaire was designed and administered within the selected neighbourhoods. Factor analysis using the principal component methods is used to reduce the items evaluated. Findings The study reveals that residents have perceptions of both agreement and disagreement towards the i

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Misra, P., and W. Takeuchi. "ASSESSING POPULATION SENSITIVITY TO URBAN AIR POLLUTION USING GOOGLE TRENDS AND REMOTE SENSING DATASETS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W11 (February 14, 2020): 93–100. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w11-93-2020.

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Abstract. This study demonstrates relationship between remote sensing satellite retrieved fien aerosol concentration and web-based search volumes of air quality related keywords. People’s perception of urban air pollution can verify policy effectiveness and gauge acceptability of policies. As a serious health issue in Asian cities, population may express concern or uncertainty for air pollution risk by performing search on the web to seek answers. A ‘social sensing’ approach that monitors such search queries, may assess people’ perception about air pollution as a risk. We hypothesize that tren

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Al Sadat Zyed, Zafirah, Mun Yee Yong, and Peter Aning Tedong. "Public users’ perception of Airbnb in Malaysia: should we regulate?" Property Management 38, no. 5 (2020): 627–42. http://dx.doi.org/10.1108/pm-09-2019-0050.

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PurposeDrawing from available literature and several case studies, this research aims to determine the criteria to be considered in shaping a framework regulating Airbnb. This paper will identify the regulatory frameworks of Airbnb from an international perspective and investigate the public perception on the criteria to be considered in shaping the framework regulating Airbnb. The criteria needed to be considered to regulate Airbnb are suggested accordingly.Design/methodology/approachA quantitative approach based on central tendency statistics was adopted in this research. Questionnaires were

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Mwangi, Evah N., Nyabisi Mengo, and Louise Ngugi. "The Influence of Guest Perception in the Selection of Air Bed and Breakfast in Nakuru County." Journal of Science, Innovation and Creativity 3, no. 2 (2024): 1–8. http://dx.doi.org/10.58721/jsic.v3i2.724.

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This study was conducted to investigate the influence of guest perception in the selection of Airbnb in Nakuru County, Kenya. This study was anchored on expectancy disconfirmation theory. The study employed a cross-sectional descriptive research design and adopted purposive random sampling to gather data from a sample size and use of 104 respondents, from the questionnaires that were found valid. These respondents were the people who frequently patronize Airbnb. According to the study results, there is a linear relationship between guest perception and choice of Airbnb and it was examined usin

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Lee, Sanghyun, Sounman Hong, and Bong Gyou Lee. "Is There a Right Way to Lay Off Employees in Times of Crisis?: The Role of Organizational Justice in the Case of Airbnb." Sustainability 15, no. 5 (2023): 4690. http://dx.doi.org/10.3390/su15054690.

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The COVID-19 pandemic has negatively affected the tourism and services sector. Using the example of Airbnb’s recent layoff of 25% of its workforce, we focused on the role of organizational justice in mitigating the negative psychological impacts of layoffs. Based on a unique survey of Airbnb employees who survived the layoffs, as well as those who left, we employed an ordinary least squares regression to show that employees’ perceptions of organizational justice were positively related to their job satisfaction and trust in management, while being negatively related to their emotional exhausti

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Sandhu, Namrata, and Dilpreet Singh. "Gender Contamination in Indian Automobile Advertisements." Paradigm 21, no. 2 (2017): 139–55. http://dx.doi.org/10.1177/0971890717736212.

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Datsun Go surely and boldly disturbed the prevailing gender order in automobile advertisements by airing a series of ‘women only’ automobile advertisements on Indian television channels. This study uncovers the phenomenological response of men to this supposed gender contamination of a male-gendered product. The study captures the change in participants’ construction of gender identity meanings of the car and its purchase probability in response to exposure to differently gendered advertisements of the car. Results indicate the significant impact of gender signals in advertisements on the view

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Ganapati, I. Dewa Gede, Tatan Sukwika, and Yohanes Sulistyadi. "Analisis Dampak Platform Peer-To-Peer Airbnb Terhadap Usaha Perhotelan Konvensional di Provinsi Bali." Jurnal Kepariwisataan: Destinasi, Hospitalitas dan Perjalanan 5, no. 1 (2021): 34–47. http://dx.doi.org/10.34013/jk.v5i1.340.

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The sharing economy platforms in the accommodation, such as Airbnb, gain more public attention. Several hoteliers in Indonesia have complained about the unequal playing of the field due to the alleged tax violations. Some studies on the impact of Airbnb have been discussed in various countries, but this subject has not been widely conducted in Indonesia. This study aims to determine the impact of Airbnb on the conventional hotel industry in Bali and how the conventional hotel’s response to compete with Airbnb. This research was conducted using qualitative research. Data was collected through i

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Lee, Carmen Kar Hang, Ying Kei Tse, Minhao Zhang, and Jie Ma. "Analysing online reviews to investigate customer behaviour in the sharing economy." Information Technology & People 33, no. 3 (2019): 945–61. http://dx.doi.org/10.1108/itp-10-2018-0475.

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Purpose The purpose of this paper is to investigate attributes that influence Airbnb customer experience by analysing online reviews from users staying in London. It presents a text mining approach to identify a set of broad themes from the textual reviews. It aims to highlight the customers’ changing perception of good quality of accommodations. Design/methodology/approach This paper analyses 169,666 reviews posted by Airbnb users who stayed in London from 2011 to 2015. Hierarchical clustering algorithms are used to group similar words into clusters based on their co-occurrence. Longitudinal

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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 (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

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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 (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 a

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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 sho

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Liu, Xinran, Yuxuan She, and Meihan Liu. "The Impact of Spatial and Locational Characteristics on Airbnb Prices in London." Advances in Economics, Management and Political Sciences 69, no. 1 (2024): 238–46. http://dx.doi.org/10.54254/2754-1169/69/20231439.

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This research delves into the intricate relationship between spatial and locational attributes and Airbnb pricing in London. Utilizing data encompassing Airbnb listings in London collected over one year concluding on December 10, 2022, and employing advanced geospatial statistical techniques, including a geographically weighted regression (GWR) model equipped with ten select explanatory variables, this study reveals multifaceted spatial patterns underlying Airbnb pricing. The study underscores the paramount significance of dissecting the multifaceted determinants of Airbnb pricing, encompassin

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Kilian, Melanie A., Markus Kattenbeck, Matthias Ferstl, Bernd Ludwig, and Florian Alt. "Towards task-sensitive assistance in public spaces." Aslib Journal of Information Management 71, no. 3 (2019): 344–67. http://dx.doi.org/10.1108/ajim-07-2018-0179.

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Purpose Performing tasks in public spaces can be demanding due to task complexity. Systems that can keep track of the current task state may help their users to successfully fulfill a task. These systems, however, require major implementation effort. The purpose of this paper is to investigate if and how a mobile information assistant which has only basic task-tracking capabilities can support users by employing a least effort approach. This means, we are interested in whether such a system is able to have an impact on the way a workflow in public space is perceived. Design/methodology/approac

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Zouni, Georgia, Ioannis Katsanakis, Athanasios Athanasiadis, and Myrsini Sofia Nika. "The Impact of Antecedents on Airbnb Listing Prices: Evidence from Greece." Studia Periegetica 46, no. 2 (2024): 81–96. https://doi.org/10.58683/sp.1994.

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The study investigates varied effects that price antecedents have on Airbnb listings. Using data on 31705 listings from four major Greek regions (Athens, Thessaloniki, Crete, and the South Aegean), which appeared on Airbnb in December 2022 and were recorded by Inside Airbnb, the authors apply statistical tests and regression analysis to identify key pricing determinants. The results confirm the existence of evident differences in prices depending on external variables, such as the listing’s region, and internal listing qualities and host attributes. The findings offer valuable insights that in

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Stollery, Aubrey, and Soo Hyun Jun. "The antecedents of perceived value in the Airbnb context." Asia Pacific Journal of Innovation and Entrepreneurship 11, no. 3 (2017): 391–404. http://dx.doi.org/10.1108/apjie-12-2017-040.

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Purpose This study aims to examine the antecedents of perceived value in the Airbnb context using the variables of perceived benefits (i.e. monetary saving, hedonic benefit, novelty and social interaction) and perceived risks (i.e. performance, physical, psychological and time). Design/methodology/approach The study population was Airbnb users in South Korea. This study applied a survey research method using a questionnaire. A link to the survey was sent via e-mail to panel members of a multinational research company. Findings The results revealed the positive influence of monetary saving, hed

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Hur, Dongkeun, Seonjin Lee, and Hany Kim. "The Impact of Airbnb on Long-Term Rental Markets in San Francisco: A Geospatial Analysis Using Multiscale Geographically Weighted Regression." ISPRS International Journal of Geo-Information 13, no. 9 (2024): 298. http://dx.doi.org/10.3390/ijgi13090298.

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The rapid proliferation of peer-to-peer short-term vacation rentals has sparked a debate regarding their impact on housing markets. This study further investigates this issue by examining the effect of Airbnb on relative rent costs in San Francisco. The research addresses a critical gap in understanding whether Airbnb financially burdens local renters within different income groups. The authors also differentiated the effect of Airbnb accommodations with different levels of commercialization by categorizing Airbnb listings based on their level of commercialization. Using the multiscale geograp

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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 (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 geographical

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Aslan, Ahmet Suvar, and Ebru Harman Aslan. "The Impact of Airbnb on Urban Transformation The Case of Beyoğlu, Istanbul." Kent Akademisi 18, no. 3 (2025): 1780–804. https://doi.org/10.35674/kent.1562319.

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Short-term rentals (STR) attract more capital into specific neighborhoods, usually those close to the center or those in arty and cultural areas via Airbnb. This research explores the impact of Airbnb on the gentrification processes in Beyoğlu, Istanbul's internationally best known and leading desirable urban area. This study aims to analyze the new layer that the STR adds to the gentrification processes in historic settlements that are already subject to gentrification. In the study, we used a mixed method. We accessed quantitative data on Airbnb in Beyoğlu, Istanbul through Inside Airbnb. In

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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 (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. F

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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 Grea

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Mody, Makarand, and Lydia Hanks. "Consumption Authenticity in the Accommodations Industry: The Keys to Brand Love and Brand Loyalty for Hotels and Airbnb." Journal of Travel Research 59, no. 1 (2019): 173–89. http://dx.doi.org/10.1177/0047287519826233.

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Airbnb has gained popularity as an alternative to hotels, with the authenticity of the consumption experience being a critical differentiating factor. However, the hospitality and tourism literature has not fully explored how Airbnb and traditional hotel brands are facilitating authentic travel experiences and the impact of these experiences on brand love and brand loyalty. In this study, we explore three elements of consumption authenticity and examine their how they interact in the context of an accommodation brand. Second, we compare the components of consumption authenticity across hotels

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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 (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 geosp

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Zeng, Gengyuan, Ningning Huo, and Xinhe Zhang. "Research on Different Factors Affecting Airbnb Housing Prices." Advances in Economics, Management and Political Sciences 202, no. 1 (2025): 37–49. https://doi.org/10.54254/2754-1169/2024.25061.

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To study the different factors affecting Airbnb housing prices, this research uses the data from the Airbnb platform and evaluates key determinants influencing listing prices on the Airbnb website. The study employs exploratory data analysis (EDA) and linear regression analysis to analyze the impact of these variables on Airbnb housing prices. The research finding reveals that accommodations, bedrooms, and beds have a significant correlation with housing prices. Insights coming out of this research are able to provide valuable perspectives to Airbnb hosts and its housing rental business. It is

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Wikanatha Sagita, Putu Agus, and I. Made Kusuma Negara. "PENGARUH HARGA DAN FAKTOR PSIKOLOGIS TERHADAP KEPUTUSAN PEMESANAN AKOMODASI MELALUI ONLINE TRAVEL AGENT." Jurnal IPTA 10, no. 1 (2022): 83. http://dx.doi.org/10.24843/ipta.2022.v10.i01.p09.

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This study aims to identify the effect of price and psychological factors on accommodation booking decisions through the Airbnb application. Data collection in this research was carried out by observation, interview, questionnaire and literature study techniques. The data analysis technique used is descriptive quantitative analysis and multiple linear regression analysis. The results of this study are expected to reveal whether tourists who book accommodation through Airbnb are merely motivated by the desire to get accommodation at a low price. Are psychological factors consisting of variables

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Obrč, Polona, and Boštjan Kerbler. "The Impact of Airbnb on Long-Term Rental Housing: The Case of Ljubljana." Critical Housing Analysis 8, no. 1 (2021): 150–58. http://dx.doi.org/10.13060/23362839.2021.8.1.531.

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Airbnb has become a fixture in the development of global cities. It especially impacts cities’ residential characteristics. The company works with the concept of the sharing economy, the essence of which is the exchange of services or goods between individuals who set the rules of operation without generating profits, but together generate more revenue. It insists that it does not represent a form of direct competition with other urban accommodation services and that it merely seeks to expand the tourism market. Nonetheless, this article proceeds from the assumption that Airbnb is influencing

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Önder, Irem, Christian Weismayer, and Ulrich Gunter. "Spatial price dependencies between the traditional accommodation sector and the sharing economy." Tourism Economics 25, no. 8 (2018): 1150–66. http://dx.doi.org/10.1177/1354816618805860.

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The emergence of peer-to-peer (P2P) accommodation (e.g. Airbnb) has steadily increased the pressure on the traditional accommodation sector. Although Airbnb listings are perceived as being more affordable than hotels, this has not yet been conclusively demonstrated. Therefore, the aim of this study is to investigate whether significant price dependencies exist between the Airbnb and traditional accommodation sectors and to analyze the underlying pricing strategies. For this purpose, the Estonian capital city of Tallinn is used as a case example. Airbnb data, prices and locations of hotels in T

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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 (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 l

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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 (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 u

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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 (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 pe

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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 (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

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Zhang, Zhihua, and Rachel J. C. Fu. "Accommodation Experience in the Sharing Economy: A Comparative Study of Airbnb Online Reviews." Sustainability 12, no. 24 (2020): 10500. http://dx.doi.org/10.3390/su122410500.

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Current research investigating the accommodation experience in the sharing economy in China is limited, especially from a cross-cultural perspective. To fill this gap, this study examined the accommodation experience of Airbnb guests using text-mining techniques and compared the accommodation experience perception between two culturally different groups: domestic Chinese and foreign English-speaking Airbnb guests. The results showed that the two groups shared eight common dimensions, including “Convenience/Location”, “Amenities”, “Feel at home”, “Check-in/out”, “Experience”, “Availability/Tran

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Oskam, Jeroen A. "Eiffel Tower and Big Ben, or 'off the beaten track'? Centripetal demand in Airbnb." Hospitality & Society 10, no. 2 (2020): 127–55. http://dx.doi.org/10.1386/hosp_00017_1.

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Abstract In the light of the debate on the growth of visitor numbers to city destinations and the sociocultural footprint of urban tourists, the spatial distribution of urban vacation rentals is a key question: does 'sharing', as Airbnb has claimed, spread visitors to peripheral neighbourhoods and contribute to decreasing the congestion in traditional tourist hotspots? Or does it, on the contrary, worsen this congestion problem, with its consequences for the perception of tourism by residents, in traditional tourist centres? This article analyses the spatial concentration of Airbnb listings in

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Lee, Seunghwan, Min Jung Kim, and Dae-Young Kim. "The Effect of Airbnb Users’ Regret on Dissatisfaction and Negative Behavioral Intention." International Journal of Environmental Research and Public Health 20, no. 1 (2022): 2. http://dx.doi.org/10.3390/ijerph20010002.

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As the most successful platform for peer-based accommodation sharing, Airbnb has transformed the lodging industry into something much more affordable and accessible for travelers on a budget. Compared to a hotel stay, however, its variability of facility and service has created guests’ negative emotions such as regret and dissatisfaction. These emotions may cause stress, which negatively affect mental health. Therefore, we explore the factors that influence Airbnb guests’ regret, and investigate the relationship between their regret, dissatisfaction, and negative behavioral intention. Structur

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Li, J., and F. Biljecki. "THE IMPLEMENTATION OF BIG DATA ANALYSIS IN REGULATING ONLINE SHORT-TERM RENTAL BUSINESS: A CASE OF AIRBNB IN BEIJING." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W9 (September 30, 2019): 79–86. http://dx.doi.org/10.5194/isprs-annals-iv-4-w9-79-2019.

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Abstract. With the fast expansion and controversial impacts of short-term rental platforms such as Airbnb, many cities have called for regulating this new business model. This research aims to establish an approach to understand the impact of Airbnb (and similar services) through big data analysis and provide insights potentially useful for its regulation. The paper reveals how Airbnb is influencing Beijing’s neighbourhood housing prices through machine learning and GIS. Machine learning models are developed to analyse the relationship between Airbnb activities in a neighbourhood and prevailin

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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 (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 Airb

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Medina-Hernandez, Vivian Constanza, Estela Marine-Roig, and Berta Ferrer-Rosell. "Accommodation sharing: a look beyond Airbnb’s literature." International Journal of Culture, Tourism and Hospitality Research 14, no. 1 (2020): 21–33. http://dx.doi.org/10.1108/ijcthr-07-2019-0130.

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Purpose Airbnb is the peer-to-peer (P2P) accommodation platform that has attracted researchers’ attention during the past decade. The purpose of this paper attempts to illustrate the scarce research on P2P accommodation platforms other than Airbnb and to highlight the research gaps concerning these platforms. Design/methodology/approach This study starts by presenting a literature review on Airbnb based on several review papers about P2P accommodation sharing and conducts a quantitative comparative analysis between existing literature on Airbnb and other P2P accommodation platforms in Web of S

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