Using book review data on Amazon.com, the authors extend current research into online consumer reviews by empirically investigating the context dependence effect in the review writing process. They find that when product quality remains constant, later reviews tend to differ from previously posted ones, and the difference is moderated by the popularity of the product, the variance of previous reviews, whether later reviews explicitly refer to previous reviews, and the age of the product and the reviews. This phenomenon can be explained by both consumer expectation and self-selection effects in review writing. The implications of this research can help practitioners understand the reviewing process and provide some guidelines for improving the objectivity of online product reviews.
AdavalRashmiMonroeKent B.Automatic Construction and Use of Contextual Information for Product and Price EvaluationsJournal of Consumer Research28March2002572–588
2.
AndersonEugene W.SullivanMary W.The Antecedents and Consequences of Customer Satisfaction for FirmsMarketing Science1221993125–143
3.
BergerJames O.Statistical Decision Theory and Bayesian Analysis2nd ed.1993Springer-VerlagNew York
4.
BrieschRichard A.KrishnamurthiLakshmanMazumdarTridibRajS.P.A Comparative Analysis of Reference Price ModelsJournal of Consumer Research24September1997202–214
5.
CadotteErnest R.WoodruffRobert B.JenkinsRoger L.Expectations and Norms in Models of Consumer SatisfactionJournal of Marketing Research2431987305–314
6.
ChenPei-YuDhanasobhonSamitaSmithMichael D.All Reviews Are Not Created Equal: The Disaggregate Impact of Reviews and Reviewers at Amazon.comProceedings of the International Conference on Information Systems2007
7.
ChevalierJudith A.MayzlinDinaThe Effect of Word of Mouth on Sales: Online Book ReviewsJournal of Marketing Research4332006345–354
8.
ChurchillGilbert A.SurprenantCarolAn Investigation into the Determinants of Consumer SatisfactionJournal of Marketing Research1941982491–504
9.
ClemonsEric K.GaoGuodongHittLorin M.When Online Reviews Meet Hyperdifferentiation: A Study of the Craft Beer IndustryJournal of Management Information Systems2322006149–171
10.
ComScore. (2007), Online Consumer-Generated Reviews Have Significant Impact on Offline Purchase Behavior, November 29, 2007.
11.
DellarocasChrysanthosAwadNeveen F.ZhangXiaoquanExploring the Value of Online Product Ratings in Forecasting Sales: The Case of Motion PicturesJournal of Interactive Marketing214200723–45
12.
Deloitte. (2007), “New Deloitte Study Shows Inflection Point for Consumer Products Industry; Companies Must Learn to Compete in a More Transparent Age,” October 1, 2007.
13.
DichterErnestHow WOM Advertising WorksHarvard Business Review4461966147–166
14.
DuanWenjingGuBinWhinstonAndrew B.The Dynamics of Online WOM and Product Sales–An Empirical Investigation of the Movie IndustryJournal of Retailing8422008233–242
15.
EliashbergJehoshuaShuganSteven M.Film Critics: Influencers or Predictors?Journal of Marketing612199768–78
FormanChrisGhoseAnindyaWiesenfeldBatiaExamining the Relationship between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic MarketsInformation Systems Research1932008291–313
18.
FosterAndrew D.RosenzweigMarkLearning by Doing and Learning from Others: Human Capital and Technical Change in AgricultureJournal of Political Economy103619951176–1209
19.
GaoGuodongGuBinLinMingfengThe Dynamics of Online Product ReviewsWorkshop on Information Systems Economics (WISE)2006
20.
GelmanAndrewCarlinJohn B.SternHal S.RubinDonald B.Bayesian Data Analysis2nd ed.2003Chapman & Hall/CRCNew York
21.
GodesDavidMayzlinDinaUsing Online Conversations to Measure Word of Mouth CommunicationMarketing Science2342004545–560
22.
GodesDavidSilvaJoseThe Dynamics of Online OpinionWorking Paper2006
23.
HazelwoodD. LynnBrighamJohn C.The Effects of Juror Anonymity on Jury VerdictsLaw and Human Behavior2261998695–713
24.
Hennig-ThurauThorstenGwinnerKevin P.WalshGianfrancoGremlerDwayne D.Electronic WOM via Consumer-Opinion Platforms: What Motivates Consumers to Articulate Themselves on the Internet?Journal of Interactive Marketing181200438–52
25.
HigginsE. ToryLurieLioraContext, Categorization and Recall: The ‘Change-of-Standard’ EffectCognitive Psychology15October1983525–547
26.
HuNanPavlouPaul A.ZhangJenniferWhy Do Online Product Reviews Have a J-shaped Distribution? Overcoming Biases in Online WOM CommunicationWorking Paper2007
Jupiter Research. The Influence of Consumer-Created Content is Dramatically Affecting Online BusinessesAugust1520062006
29.
KahnemanDanielMillerDale T.Norm Theory: Comparing Reality to Its AlternativesPsychological Review9321986136–153
30.
———TverskyAmosProspect Theory: An Analysis of Decisions Under RiskEconometrica471979263–292
31.
LiXinxinHittLorin M.Self Selection and Information Role of Online Product ReviewsInformation Systems Research1942008456–474
32.
———HittLorin M.Price Effects in Online Product Reviews: An Analytical Model and Empirical AnalysisMIS Quarterly3442010809–831
33.
LiuYongWord of Mouth for Movies: Its Dynamics and Impact on Box Office RevenueJournal of Marketing703200674–89
34.
LongJ. ScottRegression Models for Categorical and Limited Dependent Variables1997Sage PublicationsNew York
35.
MagnacTh.Segmented or Competitive Labor MarketsEconometrica5911991165–187
36.
MahajanVijayMullerEitanInnovation Diffusion and New Product Growth Models in MarketingJournal of Marketing434197955–68
37.
Meyers-LevyJoanSternthalBrianA Two-Factor Explanation of Assimilation and Contrast EffectsJournal of Marketing Research30August1993359–368
38.
MoeWendy W.TrusovMichaelMeasuring the Value of Social Dynamics in Online Product Ratings ForumsWorking Paper2009
39.
MoorthyK. SridharMarket Segmentation, Self-Selection, and Product LineMarketing Science341984288–307
40.
Neilson. (2007), “WOM the Most Powerful Selling Tool: Nielsen Global Survey,” October 1, 2007
41.
OliverRichard L.A Cognitive Model of the Antecedents and Consequences of Satisfaction DecisionsJournal of Marketing Research1741980460–469
42.
Opinion Research Corporation. (2008), “Online Consumer Reviews Significantly Impact Consumer Purchasing Decisions,” June 23, 2008.
43.
ReingenPeter H.FosterBrian L.BrownJacqueline JohnsonSeidmanStephen B.Brand Congruence in Interpersonal Relations: a Social Network AnalysisJournal of Consumer Research1131984771–783
44.
RogersEverett M.Diffusion of Innovations1962The Free PressNew York
45.
RustRoland T.InmanJ. JeffreyZahorikAnthonyWhat You Don't Know about Customer-Perceived Quality: The Role of Customer Expectation DistributionsMarketing Science181199977–92
46.
ShenoyPrakash P.Valuation-Based Systems for Bayesian Decision AnalysisOperations Research4031992463–484
47.
ShermanSteven K.AhlmKarinBermanLeonardLynnStevenContrast Effects and their Relationship to Subsequent BehaviorJournal of Personality and Social Psychology14July1978340–350
48.
SprengRichard A.MacKenzieScott B.OlshavskyRichard W.A Reexamination of the Determinants of Consumer SatisfactionJournal of Marketing603199615–32
49.
SundaramD.S.MitraKaushikWebsterCynthiaWOM Communications: A Motivational AnalysisAdvances in Consumer Research251998527–531
50.
SwaitJoffreAdamowiczWiktorHanemannMichaelDiederichAdeleKrosnickJonLaytonDavidProvencherWilliamSchkadeDavidTourangeauRogerContext Dependence and Aggregation in Disaggregate Choice AnalysisMarketing Letter1332002195–205
