MODERATING EFFECTS OF PRODUCT HETEROGENEITY BETWEEN ONLINE WORD-OF-MOUTH AND HOTEL SALES

被引:1
|
作者
Lu, Qi [1 ]
Ye, Qiang [1 ]
Law, Rob [2 ]
机构
[1] Harbin Inst Technol, Sch Management, Harbin 150006, Heilongjiang Pr, Peoples R China
[2] Hong Kong Polytech Univ, Sch Hotel & Tourism Management, Kowloon, Hong Kong, Peoples R China
来源
关键词
Online word-of-mouth; Service products; Product heterogeneity; Hotel rooms; Online sales; REVIEWS; IMPACT; CONSUMERS;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
In online markets, Word-of-Mouth (WOM) plays a very important role in shoppers' online purchasing decisions, especially for experience goods. Hotels, as a form of service product, are intangible and cannot be evaluated before consumption, which makes WOM even more important. Several studies focus on the influence of online WOM on business performance. However, little attention has so far been paid to the asymmetric effect of WOM resulting from product heterogeneity in service industries. Hotel products can be classified by star ratings, with their services heterogeneous across different classifications. This study investigates the moderating effect of hotel star rating on the relationship between WOM and sales performance. To address the challenge of missing data, we conduct our empirical study using the difference-in-difference approach. Data about 1,689 hotels were collected from two major online travel agencies in China. We show that both the average rating of online WOM and rating variance have a significant impact on sales, and this effect is significantly moderated by hotel star rating. WOM has more impact on sales for hotels with lower rather than higher star ratings. The findings will help researchers and practitioners to understand more about the asymmetric impact of online WOM on service products.
引用
收藏
页码:1 / 12
页数:12
相关论文
共 50 条
  • [31] Product Policy in Markets with Word-of-Mouth Communication
    Godes, David
    MANAGEMENT SCIENCE, 2017, 63 (01) : 267 - 278
  • [32] Sender outcomes of online word-of-mouth transmission
    Chen, Cuiping
    Gao, Tao
    JOURNAL OF CONSUMER MARKETING, 2019, 36 (01) : 197 - 205
  • [33] The quality of word-of-mouth in the online shopping mall
    Kim, HyeKyoung
    Song, Jihoon
    JOURNAL OF RESEARCH IN INTERACTIVE MARKETING, 2010, 4 (04) : 376 - 390
  • [34] Online word-of-mouth as a predictor of television rating
    Yeh, Ching-Chiang
    ONLINE INFORMATION REVIEW, 2015, 39 (06) : 831 - 847
  • [35] Demand for online platforms for medical word-of-mouth
    Lin, Shih Han
    Lin, Tom M. Y.
    JOURNAL OF INTERNATIONAL MEDICAL RESEARCH, 2018, 46 (05) : 1910 - 1918
  • [36] The Processes of Online Word-of-Mouth on the Purchase Decision
    Sha Zhenquan
    Xie Xueyin
    PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON INNOVATION AND MANAGEMENT, VOLS I AND II, 2010, : 2033 - 2036
  • [37] The Factors of Online Negative Word-of-mouth Disseminating
    Lei, Lei
    PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON PUBLIC ECONOMICS AND MANAGEMENT ICPEM 2009, VOL 6: COST BENEFITS ANALYSIS, 2009, : 95 - 99
  • [38] HOW WORD-OF-MOUTH MODERATES ROOM PRICE AND HOTEL STARS FOR ONLINE HOTEL BOOKING AN EMPIRICAL INVESTIGATION WITH EXPEDIA DATA
    Wang, Mohan
    Lu, Qi
    Chi, Robert T.
    Shi, Wen
    JOURNAL OF ELECTRONIC COMMERCE RESEARCH, 2015, 16 (01): : 72 - 80
  • [39] Production of Online Word-of-Mouth: Peer Effects and the Moderation of User Characteristics
    Wang, Yang
    Goes, Paulo
    Wei, Zaiyan
    Zeng, Daniel
    PRODUCTION AND OPERATIONS MANAGEMENT, 2019, 28 (07) : 1621 - 1640
  • [40] Motivations for Word-of-Mouth Propagation post-Online Service Failure: Moderating Role of Responsiveness
    Vakeel, Khadija Ali
    Dey, Shubhamoy
    AMCIS 2017 PROCEEDINGS, 2017,