Host facial features and Airbnb listing prices: a spatial hedonic pricing approach

Zhang, Min; Wang, Lu; Yang, Wan-Ying; Li, Yiwei; Yin, Bo

doi:10.1080/10548408.2021.2006861

Cited by 6 publications

(1 citation statement)

References 78 publications

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“…Finally, the limited number of listings displayed by the Airbnb site must be considered. Airbnb displays no more than 17 pages of available room listings, which requires adoption of a fine geographical distinction, especially in urban destinations (Xu et al , 2021; Zhang et al , 2021).…”

Section: Discussionmentioning

confidence: 99%

Addressing data quality in Airbnb research

Prentice

Pawlicz

2023

IJCHM

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Purpose This paper aims to examine the primary supply data sources that have been used for research into the sharing economy, and the advantages and limitations of these sources in the literature. Design/methodology/approach To address the research aims, this study conducted a systematic literature review and content analysis of all relevant articles. Following the review, the methodological sections of the selected papers were examined to identify the characteristics and limitations of all data sources used in the papers. Findings This study revealed several limitations of the use of three major data sources, namely, web scraping with self-made bots, inside Airbnb and AirDNA, for sharing economy research. The review shows that the majority of the selected papers did not acknowledge any limitations, nor did they discuss the quality of the data sources. Research limitations/implications The findings of this paper can serve as guidelines for selecting appropriate data sources for research into the sharing economy and cautions researchers to address the limitations of the data sources used. Originality/value To the best of the authors’ knowledge, this is the first study that explores the advantages and limitations of data sources used in short-term rental market research.

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Section: Discussionmentioning

confidence: 99%

Addressing data quality in Airbnb research

Prentice

Pawlicz

2023

IJCHM

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Do photos matter? the effect of hosts’ facial features on customers’ booking intentions in peer-to-peer accommodation: heterogeneity of host gender

Bai,

Huang,

Han

et al. 2024

Curr Psychol

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This study aims to investigate the effect of hosts’ facial features of different genders on customers’ booking intentions on the Airbnb shared accommodation platform. A comprehensive model was built to analyze hosts’ facial features in the United States (n = 105,084) through big data combined with an artificial intelligence facial recognition system. Results show that beauty, smile, aging, and wearing glasses positively affect customers’ booking intentions. There is gender heterogeneity in the effect of hosts’ facial features on customers’ booking intentions. Compared to female hosts, smiling is significant for male hosts, and wearing glasses has a greater impact on female hosts. Host reputation somewhat weakens the positive effect of host facial features on customers’ booking intentions, and the shared housing type strengthens the positive effect of facial features on customers’ booking intentions. This study provides insights into customer decision-making that may be influenced by hosts’ facial features.

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