Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Santos, M., Correia, A., Ribeiro, R. & Batista, F. (2022). What are Airbnb hosts advertising? A longitudinal essay in Lisbon. Consumer Behavior in Tourism and Hospitality. 17 (3), 312-325
Exportar Referência (IEEE)
M. S. Santos et al.,  "What are Airbnb hosts advertising? A longitudinal essay in Lisbon", in Consumer Behavior in Tourism and Hospitality, vol. 17, no. 3, pp. 312-325, 2022
Exportar BibTeX
@article{santos2022_1734959663366,
	author = "Santos, M. and Correia, A. and Ribeiro, R. and Batista, F.",
	title = "What are Airbnb hosts advertising? A longitudinal essay in Lisbon",
	journal = "Consumer Behavior in Tourism and Hospitality",
	year = "2022",
	volume = "17",
	number = "3",
	doi = "10.1108/CBTH-10-2021-0253",
	pages = "312-325",
	url = "https://www.emerald.com/insight/content/doi/10.1108/CBTH-10-2021-0253/full/html"
}
Exportar RIS
TY  - JOUR
TI  - What are Airbnb hosts advertising? A longitudinal essay in Lisbon
T2  - Consumer Behavior in Tourism and Hospitality
VL  - 17
IS  - 3
AU  - Santos, M.
AU  - Correia, A.
AU  - Ribeiro, R.
AU  - Batista, F.
PY  - 2022
SP  - 312-325
SN  - 2752-6666
DO  - 10.1108/CBTH-10-2021-0253
UR  - https://www.emerald.com/insight/content/doi/10.1108/CBTH-10-2021-0253/full/html
AB  - Purpose – Considering the importance of the content created by the host for Airbnb consumers while
making purchasing decisions, this study aims to analyze how the Airbnb hosts promote their properties
by revealing the predominant attributes considered by hosts when advertising them.
Design/methodology/approach – The unstructured textual content of online Airbnb accommodations
advertisements (property descriptions) is analyzed through a longitudinal text mining approach. This
study defines a pipeline based on a topic modeling approach that allows not only to identity the most
prevalent text attributes but also its distribution through time.
Findings – This research identifies and characterizes the attributes most advertised over time, on about
30,000 accommodations posted monthly over two years, between 2018 and 2020. Five main topics were
identified in the data reflecting only pull motivations. Noteworthy is the slight changes in properties’
descriptions topics along the two years, suggesting that ‘‘service’’ is increasingly being perceived by
hosts as an important attribute of Airbnb guest experience.
Originality/value – Through a text analysis, this study provides an insight into peer-to-peer
accommodation on the key attributes that hosts consider in the description of their properties to leverage
the attractiveness of Airbnb. In the light of existing research, which has predominantly focused on the
trustworthiness and attractiveness of the Airbnb advertisement, this research differentiates by analyzing
the main attributes in text over time. Given the Airbnb’s changes since its inception, a longitudinal view is
relevant to clarify how hosts advertise their properties and how it evolves in the light of these changes.
ER  -