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Understanding the value of host-guest intimacy behind online reviews of Airbnb

Qiu, Wei-Wei; Yu, Hai-Tao*; Tsai, Chin-Hsun; Zhu, Di; Chen, Ming-Hsiang; Kim, Hyun Jeong
Social Sciences Citation Index
桂林理工大学

摘要

This study examined the relationship between host-guest intimacy (HGI) and sharing accommodation satisfaction (SAS) using a novel mixed-method approach of grounded theory techniques, natural language processing, and big data analysis based on 46,765 Airbnb online reviews from 3105 sharing properties in New York. Using Airbnb online reviews, a conceptual model was developed to explore the HGI-SAS relationship and quantify HGI. The findings demonstrated that in positive intimacy, behavior, place, emotion, and culture all have a significant effect on SAS via the generalized method of moments (GMM) regression, whereas only behavior and place in negative intimacy have a significant effect on SAS, demonstrating the importance and distinction of HGI in sharing accommodation.

关键词

Host-guest intimacy Sharing accommodation satisfaction Grounded theory techniques Big data Natural language processing Generalized method of moments Airbnb online reviews