Table 1 Summary of representative... | Emerald Publishing

Table 1

Summary of representative studies

Study	Platform	Methodology	Outcome	Factor	Moderator	Key findings
Zervas et al. (2017)	Airbnb	Econometrics	Hotel room revenue	Airbnb listings	Hotel type	Airbnb's entry has a causal effect of 8–10% on hotel revenue
Gutiérrez et al. (2017)	Airbnb	Econometrics	Location distribution	Distance, activity, land use	–	There is a close spatial relationship between Airbnb and hotels, with a marked center-periphery pattern, and Airbnb capitalizes more on the advantages of proximity to the city's main tourist attractions than does the hotel sector
Li and Srinivasan (2019)	Airbnb	Econometrics	Competitive landscape	Airbnb entry	Market conditions	Airbnb has an impact on hotel sales and hotels' transformation in business models. The market conditions, including seasonal pricing pattern, hotel prices, and quality, the supply elasticity of home-sharing platforms, play a crucial role in determining the effect of home-sharing on the hotel industry
Filippas et al. (2020)	Airbnb	Analytical survey	Ownership decision	Estimated usage, income, unpredictability, chunkiness	–	Sharing-economy markets always expand consumption and increase surplus, but may increase or decrease ownership
Fu et al. (2021)	P2P accommodation sharing platform	Experiment	Accommodation choice	Review volume, review valence, discount strategy	Price acceptance ranges	Positive valence rate of reviews has a higher impact on the selection of traditional hotels than P2P accommodations, while the number of online reviews has a higher impact on the selection of P2P accommodations than traditional hotels
This study	Xiaozhu	Econometrics	Housing rental price	Platform entry	City tier, prices of new houses, prices of second-hand houses	The entry of home-sharing platforms will decrease local housing rental prices. Moreover, this impact would be strengthened in a more developed city. Additionally, this impact would be strengthened with a higher price of new houses or second-hand houses

Study	Platform	Methodology	Outcome	Factor	Moderator	Key findings
Zervas et al. (2017)	Airbnb	Econometrics	Hotel room revenue	Airbnb listings	Hotel type	Airbnb's entry has a causal effect of 8–10% on hotel revenue
Gutiérrez et al. (2017)	Airbnb	Econometrics	Location distribution	Distance, activity, land use	–	There is a close spatial relationship between Airbnb and hotels, with a marked center-periphery pattern, and Airbnb capitalizes more on the advantages of proximity to the city's main tourist attractions than does the hotel sector
Li and Srinivasan (2019)	Airbnb	Econometrics	Competitive landscape	Airbnb entry	Market conditions	Airbnb has an impact on hotel sales and hotels' transformation in business models. The market conditions, including seasonal pricing pattern, hotel prices, and quality, the supply elasticity of home-sharing platforms, play a crucial role in determining the effect of home-sharing on the hotel industry
Filippas et al. (2020)	Airbnb	Analytical survey	Ownership decision	Estimated usage, income, unpredictability, chunkiness	–	Sharing-economy markets always expand consumption and increase surplus, but may increase or decrease ownership
Fu et al. (2021)	P2P accommodation sharing platform	Experiment	Accommodation choice	Review volume, review valence, discount strategy	Price acceptance ranges	Positive valence rate of reviews has a higher impact on the selection of traditional hotels than P2P accommodations, while the number of online reviews has a higher impact on the selection of P2P accommodations than traditional hotels
This study	Xiaozhu	Econometrics	Housing rental price	Platform entry	City tier, prices of new houses, prices of second-hand houses	The entry of home-sharing platforms will decrease local housing rental prices. Moreover, this impact would be strengthened in a more developed city. Additionally, this impact would be strengthened with a higher price of new houses or second-hand houses