Exit and transition: Exploring the survival status of Airbnb listings in a time of professionalization

Fan, Ningyuan; Lai, Shiyang; Zhang, Fan; Chen, Yuan

doi:10.1016/j.tourman.2022.104665

Cited by 11 publications

(1 citation statement)

References 71 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In terms of property characteristics, price has been recognized as the most important factor on reservations on Airbnb (Casamatta et al, 2022). Meanwhile, accommodation amenities, size, and cleanness have additionally been acknowledged as the leading factors affecting reservations in several studies (Fan et al, 2023; Gyódi & Nawaro, 2021). Further studies focus on the influence of service on reservations on Airbnb.…”

Section: Literature Reviewmentioning

confidence: 99%

How do Different Types of User-Generated Content Attract Travelers? Taking Story and Review on Airbnb as the Example

Liu

et al. 2023

Journal of Travel Research

Self Cite

View full text Add to dashboard Cite

User-generated content (UGC) has been validated as an important factor in travel decisions. However, it is still unclear whether different types of UGC function differently. Social cognitive theory was applied to investigate the different effects of two types of UGC, Story and Review on Airbnb, on attracting travelers through 2,271 accommodations in Beijing from December 2018 to September 2019 via the spatial Durbin model. The results indicate that, first, Story plays a positive direct role on reservation, implying that Story works as a push factor in attracting newcoming travelers to visit story-related accommodations; second, Review works as a pull factor by attracting extant travelers who have investigated nearby accommodations, based on the negative spatial spillover effect; and third, Review works as a moderating factor between Story and reservation. This research extends social cognitive theory to analyze different types of UGC functions in travel decisions.

show abstract

Section: Literature Reviewmentioning

confidence: 99%