Insights into Suspicious Online Ratings: Direct Evidence from TripAdvisor
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作者:
Schuckert, Markus
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Hong Kong Polytech Univ, Sch Hotel & Tourism Management, 17 Sci Museum Rd,TST East, Kowloon, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Sch Hotel & Tourism Management, 17 Sci Museum Rd,TST East, Kowloon, Hong Kong, Peoples R China
Schuckert, Markus
[1
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Liu, Xianwei
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机构:
Harbin Inst Technol, Sch Management, 92 Xidazhi St, Harbin 150001, Peoples R ChinaHong Kong Polytech Univ, Sch Hotel & Tourism Management, 17 Sci Museum Rd,TST East, Kowloon, Hong Kong, Peoples R China
Liu, Xianwei
[2
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Law, Rob
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机构:
Hong Kong Polytech Univ, Sch Hotel & Tourism Management, 17 Sci Museum Rd,TST East, Kowloon, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Sch Hotel & Tourism Management, 17 Sci Museum Rd,TST East, Kowloon, Hong Kong, Peoples R China
Law, Rob
[1
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机构:
[1] Hong Kong Polytech Univ, Sch Hotel & Tourism Management, 17 Sci Museum Rd,TST East, Kowloon, Hong Kong, Peoples R China
[2] Harbin Inst Technol, Sch Management, 92 Xidazhi St, Harbin 150001, Peoples R China
Online ratings and online reputation management are becoming increasingly popular and important. With this increasing importance, attempts to manipulate online reviews through fake reviews have become more prevalent. Suspicious online reviews (ratings) exist on many e-commerce platforms, but these reviews have rarely been observed and reported as manipulation in academic studies using different test methods. In our research, we examine empirical evidence of suspicious online ratings based on 41,572 ratings on TripAdvisor. Applying quantitative analytics, we find three important results: (1) the gap between overall rating and individual ratings does exist and is significant, especially among the lower class hotels; (2) the proportion of suspicious ratings is about 20% at a standard of 0.5; and (3) reviewers who tend to post excellent ratings are less likely to generate big gaps when posting ratings. We offer specific managerial implications for hotel managers on online reputation management and selected suggestions for future research based on the empirical findings.
机构:
Hong Kong Polytech Univ, Sch Hotel & Tourism Management, TST East, Kowloon, Hong Kong, Peoples R ChinaUniv Macau, Fac Business Adm, Ave Univ, Taipa, Macao, Peoples R China
Lei, Soey Sut Ieng
Law, Rob
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机构:
Hong Kong Polytech Univ, Sch Hotel & Tourism Management, TST East, Kowloon, Hong Kong, Peoples R ChinaUniv Macau, Fac Business Adm, Ave Univ, Taipa, Macao, Peoples R China
机构:
Taipei Med Univ, Grad Inst Data Sci, Taipei, Taiwan
Taipei Med Univ Hosp, Clin Big Data Res Ctr, Taipei, TaiwanTaipei Med Univ, Grad Inst Data Sci, Taipei, Taiwan
Chang, Yung-Chun
Ku, Chih-Hao
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机构:
Lawrence Technol Univ, Coll Management, 21000 W 10 Mile Rd, Southfield, MI 48075 USATaipei Med Univ, Grad Inst Data Sci, Taipei, Taiwan
Ku, Chih-Hao
Chen, Chun-Hung
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机构:
Acad Sinica, Inst Informat Sci, Taipei, TaiwanTaipei Med Univ, Grad Inst Data Sci, Taipei, Taiwan