Table 1 Literature summary.
Objective | Methodology | Key Findings | Authors |
|---|---|---|---|
Examine the impact of COVID-19 on Airbnb booking activities | Quantitative analysis of listing data | Lockdowns caused a 57.8% drop in global bookings; each doubling of infections led to a 4.16% decrease. | Cheng et al. (2023) |
Investigate consumer preferences for Airbnb vs hotels during COVID-19 | Survey | Americans had similar concerns for both lodging types, which decreased over time. | Guttentag et al. (2023) |
Analyze the impact of COVID-19 on the traditional hotel industry and Airbnb | Quantitative analysis of listing data and user behavior | Significant drop in bookings and shifts in guest preferences for health and safety features. | GyĂłdi (2022) |
Investigate Airbnb user adoption of shared services during the pandemic | Survey | Users prioritized safety, reducing demand for peer-to-peer lodging. | Yang and Lee (2022) |
Compare perceived risks of using shared accommodations before and during the pandemic | Survey | Increased social, physical, performance, and convenience risk perceptions during the pandemic, varying by experience. | Lee and Deale (2021) |
Examine Airbnb users’ accommodation choices during the pandemic | Mixed methods | Guests preferred entire Airbnb apartments when COVID-19 was rising, but not when it was declining. | Nicolau et al. (2023) |
Identify safety practices for P2P accommodation across tourist segments | Survey | Four segments identified: concerned, indifferent, forewarned, and confident tourists, with varying safety needs. | Petruzzi and Marques (2024) |
Investigate the effect of COVID-19 on Airbnb’s revenue and market disruption | Quantitative analysis of listing data | Leisure-dependent regions saw greater revenue drops during the crisis. | Jang and Kim (2022) |
Compare motivators and repurchase intention for P2P accommodation before and during the pandemic | Survey | Functional motivators, especially neighborhood, strongly influenced repurchase intention during both periods. | Jiang et al. (2022) |
Investigate COVID-19 impacts on Airbnb’s bookings behavior | Quantitative analysis of listing data | Consumers preferred P2P accommodations with price premiums, particularly in rural areas. | Filieri et al. (2023) |
