Exploring the effect of "home feeling" on the online rating of homestays: a three-dimensional perspective

被引:15
作者
Bi, Jian-Wu [1 ]
Wang, Ying [1 ]
Han, Tian-Yu [1 ]
Zhang, Kun [1 ]
机构
[1] Nankai Univ, Coll Tourism & Serv Management, Tianjin, Peoples R China
基金
中国国家自然科学基金;
关键词
The dimensions of home feeling; Online rating; Attribute performance; Homestay; SHARING ECONOMY; BEHAVIORAL INTENTIONS; CUSTOMER PERCEPTIONS; AIRBNB; SERVICESCAPE; REVIEWS; HOTEL; SATISFACTION; QUALITY; IMPACT;
D O I
10.1108/IJCHM-08-2022-1032
中图分类号
F [经济];
学科分类号
02 ;
摘要
PurposeThe main purpose of this study is to explore the effect of three dimensions of "home feeling" - home-as-practical, home-as-social and home-as-attachment - on the online rating of homestays and additionally considers the accommodation's attribute performance and level of sharing. Design/methodology/approachTo achieve the research aims, more than 9,738,335 items of user-generated content concerning 743,953 Airbnb listings covering 35 cities were collected as the study data. These data are analyzed through hierarchical regression. FindingsThe results show that all three dimensions of home feeling positively affect the online rating; all three dimensions negatively moderate the relationship between attribute performance and online rating; the size of the moderating effect of each dimension on the relationship between attribute performance and online rating gradually increases in the order home-as-practical, home-as-social and home-as-attachment; and as the level of sharing increases, the moderating effect of home feeling on the relationship between attribute performance and online rating diminishes. Research limitations/implicationsThis study contributes to the literatures on the role of home feeling in homestays, the online rating of homestays and the motivations of guests who choose different room types. The findings of this study can help hosts better understand the formation of online rating of homestays, make targeted improvements in rooms and services and create a home feeling for specific degrees of sharing. This in turn will help them to improve the online rating of their homestays, establish an excellent online reputation and, ultimately, increase sales. Originality/valueThis study advances knowledge by confirming three dimensions of home feeling not only have direct positive impacts on online rating but also mitigate the impact of attribute performance on online rating. This effect differs significantly in magnitude with the degree of sharing.
引用
收藏
页码:182 / 217
页数:36
相关论文
共 79 条
[1]   The relationship between price paid and hotel review ratings: Expectancy-disconfirmation or placebo effect? [J].
Abrate, Graziano ;
Quinton, Sarah ;
Pera, Rebecca .
TOURISM MANAGEMENT, 2021, 85
[2]   Millenials' intentions to book on Airbnb [J].
Amaro, Suzanne ;
Andreu, Luisa ;
Huang, Shenhua .
CURRENT ISSUES IN TOURISM, 2019, 22 (18) :2284-2298
[3]  
[Anonymous], 1986, Exchange and power in social life
[4]  
Bao Y., 2021, J VACAT MARK, V28, P1344770393
[5]   Sharing begins at home: A social licence framework for home sharing practices [J].
Baumber, Alex ;
Schweinsberg, Stephen ;
Scerri, Moira ;
Kaya, Ece ;
Sajib, Shahriar .
ANNALS OF TOURISM RESEARCH, 2021, 91
[6]   Daily tourism volume forecasting for tourist attractions [J].
Bi, Jian-Wu ;
Liu, Yang ;
Li, Hui .
ANNALS OF TOURISM RESEARCH, 2020, 83
[7]   Wisdom of crowds: Conducting importance-performance analysis (IPA) through online reviews [J].
Bi, Jian-Wu ;
Liu, Yang ;
Fan, Zhi-Ping ;
Zhang, Jin .
TOURISM MANAGEMENT, 2019, 70 :460-478
[8]   Exploring online customer engagement with hospitality products and its relationship with involvement, emotional states, experience and brand advocacy [J].
Bilro, Ricardo Godinho ;
Correia Loureiro, Sandra Maria ;
Guerreiro, Joao .
JOURNAL OF HOSPITALITY MARKETING & MANAGEMENT, 2019, 28 (02) :147-171
[9]   Comparing customer perceptions of hotel and peer-to-peer accommodation advantages and disadvantages [J].
Birinci, Hasan ;
Berezina, Katerina ;
Cobanoglu, Cihan .
INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT, 2018, 30 (02) :1190-1210
[10]   Examining the determinants of the count of customer reviews in peer-to-peer home-sharing platforms using clustering and count regression techniques [J].
Biswas, Baidyanath ;
Sengupta, Pooja ;
Chatterjee, Dwaipayan .
DECISION SUPPORT SYSTEMS, 2020, 135