Consumers’ postpurchase evaluations have received much attention due to the strong link between ratings and sales. However, less is known about how herding effects from reference groups (i.e., crowd and friends) unfold in online ratings. This research examines the role of divergent opinions, rater experience, and firm product portfolio in attenuating/amplifying herding influences in online rating environments. Applying robust econometric techniques on data from a community of board gamers, we find that herding effects are significant and recommend a more nuanced view of herding. Highlighting the role of rater experience, the positive influence of the crowd is weakened and friend influences are amplified as the rater gains experience. Furthermore, divergent opinions between reference groups create herding and differentiation depending on the reference group and the rater’s experience level. Finally, firms can influence online opinion through their product portfolio in profound ways. A broad and deep product portfolio not only leads to favorable quality inferences but also attenuates social influence. Implications for online reputation management, rating system design, and firm product strategy are discussed.
AiChunrongNortonEdward C. (2003), “Interaction Terms in Logit and Probit Models,” Economics Letters, 80 (1), 123–29.
2.
AmeriMinaHonkaElisabethXieYing (2019), “Word of Mouth, Observed Adoptions, and Anime-Watching Decisions: The Role of the Personal vs. the Community Network,” Marketing Science, 38 (4), 567–83.
3.
AngristJoshua D.PischkeJörn-Steffen (2009), Mostly Harmless Econometrics: An Empiricist’s Companion. Princeton, NJ: Princeton University Press.
4.
ArgoteLindaMiron-SpektorElla (2011), “Organizational Learning: From Experience to Knowledge,” Organization Science, 22 (5), 1123–37.
5.
AshforthBlake E.MaelFred (1989), “Social Identity Theory and the Organization,” Academy of Management Review, 14 (1), 20–39.
6.
BanerjeeAbhijit V. (1992), “A Simple Model of Herd Behavior,” Quarterly Journal of Economics, 107 (3), 797–817.
7.
BergerJonahHeathChip (2007), “Where Consumers Diverge from Others: Identity Signaling and Product Domains,” Journal of Consumer Research, 34 (2), 121–34.
BikhchandaniSushilHirshleiferDavidWelchIvo (1992), “A Theory of Fads, Fashion, Custom, and Cultural-Change as Informational Cascades,” Journal of Political Economy, 100 (5), 992–1026.
BramoulleYannDjebbariHabibaFortinBernard (2009), “Identification of Peer Effects Through Social Networks,” Journal of Econometrics, 150 (1), 41–55.
12.
CaylaJulienPeñalozaLisa (2012), “Mapping the Play of Organizational Identity in Foreign Market Adaptation,” Journal of Marketing, 76 (6), 38–54.
13.
ChevalierJudith A.MayzlinDina (2006), “The Effect of Word of Mouth on Sales: Online Book Reviews,” Journal of Marketing Research, 43 (3), 345–54.
14.
ChintaguntaPradeep K.GopinathShyamVenkataramanSriram (2010), “The Effects of Online User Reviews on Movie Box Office Performance: Accounting for Sequential Rollout and Aggregation Across Local Markets,” Marketing Science, 29 (5), 944–57.
15.
DeLandaManuel (2016), Assemblage Theory, 1st ed. Edinburgh: Edinburgh University Press.
16.
DeleuzeGillesGuattariFelix (1987), A Thousand Plateaus: Capitalism and Schizophrenia, 2nd ed., MassumiBrian, trans. Minneapolis: University of Minnesota Press.
17.
DellarocasChrysanthosNarayanRitu (2006), “A Statistical Measure of a Population’s Propensity to Engage in Post-Purchase Online Word-of-Mouth,” Statistical Science, 21 (2), 277–85.
18.
DingAmy WenxuanLiShibo (2018), “Herding in the Consumption and Purchase of Digital Goods and Moderators of the Herding Bias,” Journal of the Academy of Marketing Science, 47 (3), 460–78.
19.
FehrErnstFischbacherUrs (2004), “Social Norms and Human Cooperation,” Trends in Cognitive Sciences, 8 (4), 185–90.
20.
GodesDavidMayzlinDina (2004), “Using Online Conversations to Study Word-of-Mouth Communication,” Marketing Science, 23 (4), 545–60.
21.
GodesDavidSilvaJosé C. (2012), “Sequential and Temporal Dynamics of Online Opinion,” Marketing Science, 31 (3), 448–73.
22.
GoesPaulo B.LinMingfengYeungChing-man Au (2014), “‘Popularity Effect’ in User-Generated Content: Evidence from Online Product Reviews,” Information Systems Research, 25 (2), 222–38.
23.
HarmelingColleen M.PalmatierRobert W.FangEricWangDainwen (2017), “Group Marketing: Theory, Mechanisms, and Dynamics,” Journal of Marketing, 81 (4), 1–24.
24.
HartmannWesley R.ManchandaPuneetNairHarikeshBothnerMatthewDoddsPeterGodesDavid (2008), “Modeling Social Interactions: Identification, Empirical Methods and Policy Implications,” Marketing Letters, 19 (3/4), 287–304.
25.
HolbrookMorris B.AddisMichela (2007), “Taste Versus the Market: An Extension of Research on the Consumption of Popular Culture,” Journal of Consumer Research, 34 (3), 415–24.
IyengarRaghuramVan den BulteChristopheValenteThomas W. (2011), “Opinion Leadership and Social Contagion in New Product Diffusion,” Marketing Science, 30 (2), 195–212.
28.
KekreSunderSrinivasanKannan (1990), “Broader Product Line: A Necessity to Achieve Success?” Management Science, 36 (10), 1216–32.
29.
KremerIlanMansourYishayPerryMotty (2014), “Implementing the ‘Wisdom of the Crowd’,” Journal of Political Economy, 122 (5), 988–1012.
LeeYoung-JinHosanagarKartikTanYong (2015), “Do I Follow My Friends or the Crowd? Information Cascades in Online Movie Ratings,” Management Science, 61 (9), 2241–58.
32.
LiXinxinHittLorin M. (2008), “Self-Selection and Information Role of Online Product Reviews,” Information Systems Research, 19 (4), 456–74.
33.
LuryCelia (2009), “Brands as Assemblage,” Journal of Cultural Economy, 2 (1/2), 67–82.
34.
MackieDianeCooperJoel (1984), “Attitude Polarization—Effects of Group Membership,” Journal of Personality and Social Psychology, 46 (3), 575–85.
35.
ManskiCharles F. (1993), “Identification of Endogenous Social Effects—The Reflection Problem,” Review of Economic Studies, 60 (3), 531–42.
36.
MoeWendy W.SchweidelDavid A. (2012), “Online Product Opinions: Incidence, Evaluation, and Evolution,” Marketing Science, 31 (3), 372–86.
37.
MoeWendy W.TrusovMichael (2011), “The Value of Social Dynamics in Online Product Ratings Forums,” Journal of Marketing Research, 48 (3), 444–56.
38.
MuchnikLevAralSinanTaylorSean J. (2013), “Social Influence Bias: A Randomized Experiment,” Science, 341 (6146), 647–51.
39.
NagleFrankRiedlChristoph (2017), “Online Word of Mouth and Product Quality Disagreement,” Harvard Business School Research Paper No. 13-091, Harvard University.
40.
NairHarikeshManchandaPuneetBhatiaTulikaa (2010), “Asymmetric Social Interactions in Physician Prescription Behavior: The Role of Opinion Leaders,” Journal of Marketing Research, 47 (5), 883–95.
41.
NarayananSriramBalasubramanianSridharSwaminathanJayashankar M. (2009), “A Matter of Balance: Specialization, Task Variety, and Individual Learning in a Software Maintenance Environment,” Management Science, 55 (11), 1861–76.
NokesTimothy J.OhlssonStellan (2005), “Comparing Multiple Paths to Mastery: What Is Learned?” Cognitive Science, 29 (5), 769–96.
44.
PackardGrantBergerJonah (2017), “How Language Shapes Word of Mouth’s Impact,” Journal of Marketing Research, 54 (4), 572–88.
45.
PalepuKrishna (1985), “Diversification Strategy, Profit Performance and the Entropy Measure,” Strategic Management Journal, 6 (3), 239–55.
46.
PurohitDevavratSrivastavaJoydeep (2001), “Effect of Manufacturer Reputation, Retailer Reputation, and Product Warranty on Consumer Judgments of Product Quality: A Cue Diagnosticity Framework,” Journal of Consumer Psychology, 10 (3), 123–34.
47.
RamaswamyVenkatOzcanKerimcan (2016), “Brand Value Co-Creation in a Digitalized World: An Integrative Framework and Research Implications,” International Journal of Research in Marketing, 33 (1), 93–106.
48.
SchillingMelissa A.VidalPatriciaPloyhartRobert E.MarangoniAlexandre (2003), “Learning by Doing Something Else: Variation, Relatedness, and the Learning Curve,” Management Science, 49 (1), 39–56.
49.
SchlosserAnn E. (2005), “Posting Versus Lurking: Communicating in a Multiple Audience Context,” Journal of Consumer Research, 32 (2), 260–65.
50.
SorescuAlina B.ChandyRajesh. K.PrabhuJaideep. C. (2003), “Sources and Financial Consequences of Radical Innovation: Insights from Pharmaceuticals,” Journal of Marketing, 67 (4), 82–102.
51.
SridharShrihariSrinivasanRaji (2012), “Social Influence Effects in Online Product Ratings,” Journal of Marketing, 76 (5), 70–88.
52.
SunMonic (2012), “How Does the Variance of Product Ratings Matter?” Management Science, 58 (4), 696–707.
53.
TerryDeborah J.HoggMichael A. (1996), “Group Norms and the Attitude-Behavior Relationship: A Role for Group Identification,” Personality and Social Psychology Bulletin, 22 (8), 776–93.
54.
ThirumalaiSriramSinhaKingshuk K. (2011), “Product Recalls in the Medical Device Industry: An Empirical Exploration of the Sources and Financial Consequences,” Management Science, 57 (2), 376–92.
55.
WuFangHubermanBernardo A. (2008), How Public Opinion Forms. Berlin: Springer.
56.
ZhangJuruiLiuYongChenYubo (2015), “Social Learning in Networks of Friends Versus Strangers,” Marketing Science, 34 (4), 573–89.
57.
ZhangYuchiGodesDavid (2018), “Learning from Online Social Ties,” Marketing Science, 37 (3), 425–44.
ZhuFengZhangXiaoquan (Michael) (2010), “Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics,” Journal of Marketing, 74 (2), 133–48.
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