Pricing approaches on Airbnb. The case of 2020 new listings in Porto

Detalhes bibliográficos
Autor(a) principal: Ferreira, Fernanda A.
Data de Publicação: 2022
Outros Autores: Toader, Valentin, Rus, Rozalia Veronica, Bode, Oana Ruxandra
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/21758
Resumo: The COVID-19 pandemic had serious economic effects, forcing businesses to adjust their strategies to survive. The tourism sector was one of the most affected due to the imposed travel restrictions; both traditional units and people providing services to tourists through the sharing economy platforms had to adapt. The objective of this paper is to build a hedonic price model to identify the attributes that significantly influence the price of the room, using the WLS regression model. Despite the general negative trend, there were also hosts who considered that opening a new listing during these times may represent a business opportunity. Therefore, the focus of the article is on newly opened listings on the Airbnb platform during 2020. The approach used included the main categories of variables discussed previously in the literature: listing attributes, listing location, listing reputation, rental policies, and hosts characteristics/involvement. The maximum number of guests accepted in the property, the type of listing, and the availability of air conditioning (AC) and parking represent the main characteristics that influence the prices. Changes in travel behaviour due to increased health and safety concerns made hosts aware that guests are willing to pay more to stay in central locations or in places owned by Superhosts.
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spelling Pricing approaches on Airbnb. The case of 2020 new listings in PortoSharing economyPricing strategiesAirbnbThe COVID-19 pandemic had serious economic effects, forcing businesses to adjust their strategies to survive. The tourism sector was one of the most affected due to the imposed travel restrictions; both traditional units and people providing services to tourists through the sharing economy platforms had to adapt. The objective of this paper is to build a hedonic price model to identify the attributes that significantly influence the price of the room, using the WLS regression model. Despite the general negative trend, there were also hosts who considered that opening a new listing during these times may represent a business opportunity. Therefore, the focus of the article is on newly opened listings on the Airbnb platform during 2020. The approach used included the main categories of variables discussed previously in the literature: listing attributes, listing location, listing reputation, rental policies, and hosts characteristics/involvement. The maximum number of guests accepted in the property, the type of listing, and the availability of air conditioning (AC) and parking represent the main characteristics that influence the prices. Changes in travel behaviour due to increased health and safety concerns made hosts aware that guests are willing to pay more to stay in central locations or in places owned by Superhosts.SpringerRepositório Científico do Instituto Politécnico do PortoFerreira, Fernanda A.Toader, ValentinRus, Rozalia VeronicaBode, Oana Ruxandra2023-01-23T10:52:12Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/21758eng10.1007/978-3-031-19656-0_8metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T13:18:05Zoai:recipp.ipp.pt:10400.22/21757Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:41:51.367821Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Pricing approaches on Airbnb. The case of 2020 new listings in Porto
title Pricing approaches on Airbnb. The case of 2020 new listings in Porto
spellingShingle Pricing approaches on Airbnb. The case of 2020 new listings in Porto
Ferreira, Fernanda A.
Sharing economy
Pricing strategies
Airbnb
title_short Pricing approaches on Airbnb. The case of 2020 new listings in Porto
title_full Pricing approaches on Airbnb. The case of 2020 new listings in Porto
title_fullStr Pricing approaches on Airbnb. The case of 2020 new listings in Porto
title_full_unstemmed Pricing approaches on Airbnb. The case of 2020 new listings in Porto
title_sort Pricing approaches on Airbnb. The case of 2020 new listings in Porto
author Ferreira, Fernanda A.
author_facet Ferreira, Fernanda A.
Toader, Valentin
Rus, Rozalia Veronica
Bode, Oana Ruxandra
author_role author
author2 Toader, Valentin
Rus, Rozalia Veronica
Bode, Oana Ruxandra
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Ferreira, Fernanda A.
Toader, Valentin
Rus, Rozalia Veronica
Bode, Oana Ruxandra
dc.subject.por.fl_str_mv Sharing economy
Pricing strategies
Airbnb
topic Sharing economy
Pricing strategies
Airbnb
description The COVID-19 pandemic had serious economic effects, forcing businesses to adjust their strategies to survive. The tourism sector was one of the most affected due to the imposed travel restrictions; both traditional units and people providing services to tourists through the sharing economy platforms had to adapt. The objective of this paper is to build a hedonic price model to identify the attributes that significantly influence the price of the room, using the WLS regression model. Despite the general negative trend, there were also hosts who considered that opening a new listing during these times may represent a business opportunity. Therefore, the focus of the article is on newly opened listings on the Airbnb platform during 2020. The approach used included the main categories of variables discussed previously in the literature: listing attributes, listing location, listing reputation, rental policies, and hosts characteristics/involvement. The maximum number of guests accepted in the property, the type of listing, and the availability of air conditioning (AC) and parking represent the main characteristics that influence the prices. Changes in travel behaviour due to increased health and safety concerns made hosts aware that guests are willing to pay more to stay in central locations or in places owned by Superhosts.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01T00:00:00Z
2023-01-23T10:52:12Z
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