Study of Price Determinants of Sharing Economy-Based Accommodation Services: Evidence from Airbnb.com
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. T...
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Format: | Article |
Language: | English |
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MDPI AG
2020-12-01
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Series: | Journal of Theoretical and Applied Electronic Commerce Research |
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Online Access: | https://www.mdpi.com/0718-1876/16/4/35 |
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author | Chunwei Chang Shengli Li |
author_facet | Chunwei Chang Shengli Li |
author_sort | Chunwei Chang |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-10T08:01:23Z |
format | Article |
id | doaj.art-ca9d61de1c714ee8979530cda38df973 |
institution | Directory Open Access Journal |
issn | 0718-1876 |
language | English |
last_indexed | 2024-03-10T08:01:23Z |
publishDate | 2020-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Journal of Theoretical and Applied Electronic Commerce Research |
spelling | doaj.art-ca9d61de1c714ee8979530cda38df9732023-11-22T11:27:49ZengMDPI AGJournal of Theoretical and Applied Electronic Commerce Research0718-18762020-12-0116458460110.3390/jtaer16040035Study of Price Determinants of Sharing Economy-Based Accommodation Services: Evidence from Airbnb.comChunwei Chang0Shengli Li1Yuanpei College, Peking Univeristy, Beijing 100871, ChinaDepartment of Information Management, Peking University, Beijing 100871, ChinaThis 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.https://www.mdpi.com/0718-1876/16/4/35sharing economyprice determinantsAirbnb.cominteraction effectsprice prediction |
spellingShingle | Chunwei Chang Shengli Li Study of Price Determinants of Sharing Economy-Based Accommodation Services: Evidence from Airbnb.com Journal of Theoretical and Applied Electronic Commerce Research sharing economy price determinants Airbnb.com interaction effects price prediction |
title | Study of Price Determinants of Sharing Economy-Based Accommodation Services: Evidence from Airbnb.com |
title_full | Study of Price Determinants of Sharing Economy-Based Accommodation Services: Evidence from Airbnb.com |
title_fullStr | Study of Price Determinants of Sharing Economy-Based Accommodation Services: Evidence from Airbnb.com |
title_full_unstemmed | Study of Price Determinants of Sharing Economy-Based Accommodation Services: Evidence from Airbnb.com |
title_short | Study of Price Determinants of Sharing Economy-Based Accommodation Services: Evidence from Airbnb.com |
title_sort | study of price determinants of sharing economy based accommodation services evidence from airbnb com |
topic | sharing economy price determinants Airbnb.com interaction effects price prediction |
url | https://www.mdpi.com/0718-1876/16/4/35 |
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