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Data Analysis and Knowledge Discovery  2018, Vol. 2 Issue (11): 46-53    DOI: 10.11925/infotech.2096-3467.2018.0836
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Impacts of Landlords on Tenants of Short-term Rentals
Xiaobei Liang,Zhen Xu(),Jingjing Li
School of Economics and Management, Tongji University, Shanghai 200092, China
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[Objective] This study explores the influences of room owners on their tenants’ Electronic Word of Mouth(eWOM). [Methods] First, we retrieved data from Airbnb with the help of a Web crawler. Then, we proposed a Poisson Regression model based on the signal theory. Finally, we studied the impacts of room owners’ service on consumers’ eWOM. [Results] The eWOM of the available rooms was positively correlated with features introduction, after-sales interaction, instant reservation, calendar update, response time, high-quality service and identity certification. [Limitations] More samples from regions outside of Beijing should be included. [Conclusions] The proposed model could improve the service of short-term rentals.

Key wordsSharing Short-term Rental Platform      Host Attributes      eWOM     
Received: 26 July 2018      Published: 11 December 2018

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Xiaobei Liang,Zhen Xu,Jingjing Li. Impacts of Landlords on Tenants of Short-term Rentals. Data Analysis and Knowledge Discovery, 2018, 2(11): 46-53.

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