Exploring Airbnb service quality attributes and their asymmetric effects on customer satisfaction

被引:171
|
作者
Ju, Yongwook [1 ]
Back, Ki-Joon [1 ]
Choi, Youngjoon [2 ]
Lee, Jin-Soo [2 ]
机构
[1] Univ Houston, Conrad N Hilton Coll, 229 CN Hilton Hotel Coll, Houston, TX 77204 USA
[2] Hong Kong Polytech Univ, Sch Hotel & Tourism Management, Hong Kong, Peoples R China
关键词
Airbnb; Service quality; Customer satisfaction; Mixed method; Impact range performance analysis; Impact asymmetry analysis; MULTIPLE-ITEM SCALE; REPURCHASE INTENTION; SHARING ECONOMY; LOYALTY; TRUST; ACCOMMODATION; PERFORMANCE; MODEL;
D O I
10.1016/j.ijhm.2018.07.014
中图分类号
F [经济];
学科分类号
02 ;
摘要
With the rise of the sharing economy, Airbnb has become the predominant example of the online peer-to-peer accommodation market in the hospitality industry. This study adopts a mixed method approach to systematically and comprehensively capture various service aspects of Airbnb. Two main studies are conducted to identify key service quality (SQ) attributes of Airbnb, verify the dimensionality of the SQ attributes, and examine the effects of these attributes on customer satisfaction (CS). The first qualitative study generated a list of SQ attributes by collecting and analyzing 16,430 online reviews. In the second study, online survey (N = 322) is conducted to identify multiple dimensions of SQ attributes and examine their asymmetric effects on CS using impact-range performance analysis and impact asymmetry analysis. Findings suggest that Airbnb has multiple SQ attributes associated with website, host, and facility that produce distinctive effects on CS.
引用
收藏
页码:342 / 352
页数:11
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