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Open AccessArticle

Study of Price Determinants of Sharing Economy-Based Accommodation Services: Evidence from Airbnb.com

by 1 and 2,*
1
Yuanpei College, Peking Univeristy, Beijing 100871, China
2
Department of Information Management, Peking University, Beijing 100871, China
*
Author to whom correspondence should be addressed.
J. Theor. Appl. Electron. Commer. Res. 2021, 16(4), 584-601; https://doi.org/10.3390/jtaer16040035
Received: 6 December 2020 / Revised: 21 December 2020 / Accepted: 24 December 2020 / Published: 28 December 2020
This research aims to identify price determinants for sharing economy-based accommodation services and to further use the identified price determinants to predict accommodation prices. A dataset drawn from Airbnb.com, was collected for analysis. We identify price determinants from five categories. The top five price determinants are identified as room type, city, distance to tourist attractions, number of pictures posted, and number of amenities provided. More importantly, we find that interaction effects between variables can also significantly influence price. Finally, a series of price prediction models are built based on the identified price determinants. View Full-Text
Keywords: sharing economy; price determinants; Airbnb.com; interaction effects; price prediction sharing economy; price determinants; Airbnb.com; interaction effects; price prediction
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MDPI and ACS Style

Chang, C.; Li, S. Study of Price Determinants of Sharing Economy-Based Accommodation Services: Evidence from Airbnb.com. J. Theor. Appl. Electron. Commer. Res. 2021, 16, 584-601.

AMA Style

Chang C, Li S. Study of Price Determinants of Sharing Economy-Based Accommodation Services: Evidence from Airbnb.com. Journal of Theoretical and Applied Electronic Commerce Research. 2021; 16(4):584-601.

Chicago/Turabian Style

Chang, Chunwei; Li, Shengli. 2021. "Study of Price Determinants of Sharing Economy-Based Accommodation Services: Evidence from Airbnb.com" J. Theor. Appl. Electron. Commer. Res. 16, no. 4: 584-601.

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