Big data for big insights: Investigating language-specific drivers of hotel satisfaction with 412,784 user-generated reviews

详细信息    查看全文

• 作者：Yong Liu^a ; ^{yong.liu@aalto.fi}Author Vitae ; Thorsten Teichert^b ; ^{Thorsten.teichert@uni-hamburg.de}Author Vitae ; Matti Rossi^a ; ^{matti.rossi@aalto.fi}Author Vitae ; Hongxiu Li^c ; ^{hongli@utu.fi}Author Vitae ; Feng Hu^b ; ^{Hu.Feng@wiso.uni-hamburg.de}Author Vitae
• 关键词：Big data ; Satisfaction ; Hotel ; Online reviews ; User-generated review ; TripAdvisor
• 刊名：Tourism Management
• 出版年：2017
• 出版时间：April 2017
• 年：2017
• 卷：59
• 期：Complete
• 页码：554-563
• 全文大小：1671 K
• 卷排序：59

文摘

Domestic vs. international tourists' preference on hotel are studied using big data. Hotel attributes preference of tourists from nine countries are examined. Travel types, e.g. business vs. leisure have significant mediating effects. Methodological contributions of the study are highlighted.