Open AccessThe effect of the COVID-19 on sharing economy: survival analysis of Airbnb listings
Author(s) -
Umut Türk,
Serap Sap
Publication year - 2021
Publication title -
business and management studies: an international journal
Language(s) - English
Resource type - Journals
ISSN - 2148-2586
DOI - 10.15295/bmij.v9i1.1752
Subject(s) - covid-19 , hazard , business , quality (philosophy) , sharing economy , similarity (geometry) , marketing , computer science , medicine , philosophy , chemistry , disease , organic chemistry , epistemology , pathology , artificial intelligence , world wide web , infectious disease (medical specialty) , image (mathematics)
This research investigates the survival probability of listings in the Airbnb platform during the COVID-19 period between January-October 2020 in Istanbul. In line with the research aim, Cox's Proportional Hazard Model is adopted to conduct survival analysis, where the physical and spatial attributes of Airbnb listings are used as predictors. Our findings show that while physical attributes show similarity to previous findings, spatial attributes show substantial differences in the Pre-COVID and Post-COVID comparison. The contributions of the study have two facets. Theoretically, this research's findings contribute to the current literature by understanding the changing consumer preferences and identifying the factors that affect Airbnb listings' survival rates during the COVID-19 pandemic. The findings may also help practitioners understand changing customers' preferences during COVID, especially in terms of locational choices. Moreover, customer feedback's quality and quantity might help the Airbnb hosts to improve their service quality, attract more customers, and be more resilient under the changing conditions.