The Value of Multidimensional Rating Systems: Evidence from a Natural Experiment and Randomized Experiments
Published Online:13 Oct 2017https://doi.org/10.1287/mnsc.2017.2852
References
- (2012) Learning from the crowd: Regression discontinuity estimates of the effects of an online review database. Econom. J. 122(563):957–989.Google Scholar
- (1993) The antecedents and consequences of consumer satisfaction for firms. Management Sci. 12(2):125–143.Abstract, Google Scholar
- (2008) Mostly Harmless Econometrics: An Empiricist’s Companion (Princeton University Press, Princeton, NJ).Crossref, Google Scholar
- (2011) Deriving the pricing power of product features by mining consumer reviews. Management Sci. 57(8):1485–1509.Link, Google Scholar
- (2000) The mind in the middle: A practical guide to priming and automaticity research. Reis HT, Judd CM, eds. Handbook of Research Methods in Social and Personality Psychology (Cambridge University Press, New York), 253–85.Google Scholar
- (1984) Cognitive models and information transfer. Soc. Sci. Inform. Stud. 4(2):111–129.Google Scholar
- (2001) Understanding information systems continuance: An expectation-confirmation model. MIS Quart. 25(3):351–370.Crossref, Google Scholar
- (2012) Expectation confirmation in technology use. Inform. Systems Res. 23(2):474–487.Link, Google Scholar
- (2014) Expectation confirmation in Information Systems research: A test of six competing models. MIS Quart. 38(3):729–756.Crossref, Google Scholar
- (2006) The effect of word of mouth on sales: Online book reviews. J. Marketing Res. 43(3):345–354.Crossref, Google Scholar
- (1982) An investigation into the determinants of consumer satisfaction. J. Marketing Res. 19(4):491–504.Crossref, Google Scholar
- (1991) Location models of horizontal differentiation: A special case of vertical differentiation models. J. Indust. Econom. 39(4):383–390.Crossref, Google Scholar
- (2012) Optimal aggregation of consumer ratings: An application to Yelp.com. National Bureau of Economic Research Working Paper 18567.Crossref, Google Scholar
- (2013) Product-oriented web technologies and product returns: An exploratory study. Inform. Systems Res. 24(4):998–1010.Link, Google Scholar
- (2010) Estimating aggregate consumer preferences from online product reviews. J. Marketing Res. 27(4):293–307.Crossref, Google Scholar
- (2016) Navigating by the stars: Investigating the actual and perceived validity of online user ratings. J. Consumer Res. 42(6):817–833.Crossref, Google Scholar
- (2007) Exploring the value of online product reviews in forecasting sales: The case of motion pictures. J. Interactive Marketing 21(4):23–45.Crossref, Google Scholar
- (2010) Great expectations?! Assortment size, expectations, and satisfaction. J. Marketing Res. 47(2):312–322.Crossref, Google Scholar
- (2012) On product uncertainty in online markets: Theory and evidence. MIS Quart. 32(3):395–426.Crossref, Google Scholar
- (2008) Do online reviews matter?—An empirical investigation of panel data. Decision Support Systems 45(4):1007–1016.Crossref, Google Scholar
- (2008) Examining the relationship between reviews and sales: The role of consumer identity disclosure in electronic markets. Inform. Systems Res. 19(3):291–313.Link, Google Scholar
- (1984) What does “product quality” really mean? Sloan Management Rev. 26(1):25–43.Google Scholar
- (2011) Estimating the helpfulness and economic impact of product reviews: Mining text and consumer characteristics. IEEE Trans. Knowledge Data Engrg. 23(10):1498–1512.Crossref, Google Scholar
- (2012) Designing ranking systems for hotels on travel search engines by mining user-generated and crowd sourced content. Marketing Sci. 31(3):493–520.Link, Google Scholar
- (2004) Using online conversations to study word-of-mouth communication. Marketing Sci. 23(4):545–560.Link, Google Scholar
- (2012) Sequential and temporal dynamics of online opinion. Marketing Sci. 31(3):448–473.Link, Google Scholar
- (2014) “Popularity effect” in user-generated content: Evidence from online product reviews. Inform. Systems Res. 25(2):222–238.Link, Google Scholar
- (2012) The impact of external word-of-mouth sources on retailer sales of high-involvement products. Inform. Systems Res. 23(1):182–196.Link, Google Scholar
- (1964) Adaptation-Level Theory (Harper & Row, New York).Google Scholar
- (2004) Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? J. Interactive Marketing 18(1):38–52.Crossref, Google Scholar
- (2015) New study: Data reveals 67% of consumers are influenced by online reviews. Moz (blog) (September 2), https://moz.com/blog/new-data-reveals-67-of-consumers-are-influenced-by-online-reviews.Google Scholar
- (2014) Product fit uncertainty in online markets: Nature, effects and antecedents. Inform. Systems Res. 25(2):328–344.Link, Google Scholar
- (2016) Culture, conformity and emotional suppression in online reviews. J. Assoc. Inform. Systems 17(11):737–758.Google Scholar
- (2004) Mining and summarizing customer reviews. Proc. 10th ACM SIGKDD Internet Conf. Knowledge Discovery and Data Mining (KDD-2004) (ACM, New York), 168–177.Crossref, Google Scholar
- (2006) Can online reviews reveal a product’s true quality? Empirical findings and analytical modeling of online word-of-mouth communication. Proc. 7th ACM Conf. Electronic Commerce (ACM, New York), 324–330.Crossref, Google Scholar
- (2016) Effects of multiple psychological distances on construal and consumer evaluation: A field study of online reviews. J. Consumer Psych. 26(4):474–482.Crossref, Google Scholar
- (2009) Trust and satisfaction, two stepping stones for successful e-commerce relationships: A longitudinal exploration. Inform. Systems Res. 20(2):237–257.Link, Google Scholar
- (2014) Online product reviews: Implications for retailers and competing manufacturers. Inform. Systems Res. 25(1):93–110.Link, Google Scholar
- (2015) Do I follow my friends or the crowd? Examining informational cascades in online movie reviews. Management Sci. 61(9):2241–2258.Link, Google Scholar
- (2008) Self-selection and information role of online product reviews. Inform. Systems Res. 19(4):456–474.Link, Google Scholar
- (2010) Price effects in online product reviews: An analytical model and empirical analysis. MIS Quart. 34(4):809–831.Crossref, Google Scholar
- (2013) Research Commentary—Too big to fail: Large samples and the p-value problem. Inform. Systems Res. 24(4):906–917.Link, Google Scholar
- (2012) The integration of value-based adoption and expectation–confirmation models: An example of IPTV continuance intention. Decision Support Systems 54(1):63–75.Crossref, Google Scholar
- (2006) Word of mouth for movies: Its dynamics and impact on box office revenue. J. Marketing 70(3):74–89.Crossref, Google Scholar
- (2016) Fake it till you make it: Reputation, competition, and Yelp review fraud. Management Sci. 62(12): 3412–3427.Link, Google Scholar
- (1999) Word-of-mouth communication in the service marketplace. J. Services Marketing 13(1):73–89.Crossref, Google Scholar
- (1971) Facilitation in recognizing pairs of words: Evidence of a dependence between retrieval operations. J. Experiment. Psych. 90(2):227–234.Crossref, Google Scholar
- (2012) Online product opinions: Incidence, evaluation, and evolution. Marketing Sci. 31(3):372–386.Link, Google Scholar
- (1980) A cognitive model of the antecedents and consequences of satisfaction decisions. J. Marketing Res. 17(11):460–469.Crossref, Google Scholar
- (2015) The impact of online product reviews on product returns. Boston University School of Management Research Paper 2491276, https://ssrn.com/abstract=2491276.Google Scholar
- (2009) Unraveling priming: When does the same prime activate a goal versus a trait? J. Consumer Res. 36(3):418–433.Crossref, Google Scholar
- (1998) Word-of-mouth communications: A motivational analysis. Adv. Consumer Res. 25(1):527–531.Google Scholar
- (2012) The best book reviews money can buy. New York Times (August 25), http://www.nytimes.com/2012/08/26/business/book-reviewers-for-hire-meet-a-demand-for-online-raves.html.Google Scholar
- (2010) Expectation disconfirmation and technology adoption: Polynomial modeling and response surface analysis. MIS Quart. 34(2):281–303.Crossref, Google Scholar
- (2018) Socially nudged: A quasi-experimental study of friends’ social influence in online product ratings. Inform. Systems Res., ePub ahead of print May 10, https://doi.org/10.1287/isre.2017.0741.Link, Google Scholar
- (2016) The causal impact of fit valence and fit reference on product returns. Proc. Internat. Conf. Inform. Systems, Dublin, Ireland.Google Scholar

