Abstract
Expert-written product reviews are prevalent and could be in many forms, ranging from short textual descriptions to video-embedded blogs. For consumers, expert reviews can not only optimize their purchase decisions, but also play an important role in facilitating consumer learning. In this paper, we first draw on profession research and propose two focal elements that characterize the content of expert reviews, and then investigate the impact of expert reviews on consumers’ product preferences and information consumption via the lens of preference construction theory and dissonance theory. With describing our experiment design to test the hypotheses, we seek to make contributions to the vast studies of online reviews by characterizing the expert review content, examining the effects of expert review on consumer judgments and offering a new perspective of distinguishing expert reviews and peer reviews in online markets.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Cordell, V.V.: Consumer knowledge measures as predictors in product evaluation. Psychol. Mark. 14(3), 241–260 (1997)
Bettman, J.R., Luce, M.F., Payne, J.W.: Constructive consumer choice processes. J. Consum. Res. 25(3), 187–217 (1998)
Dellarocas, C.: The digitization of word of mouth: promise and challenges of online feedback mechanisms. Manag. Sci. 49(10), 1407–1424 (2003)
Dellarocas, C., Awad, N., Zhang, M.: Using online ratings as a proxy of word-of-mouth in motion picture revenue forecasting. Citeseer (2005)
Luo, X., Gu, B., Zhang, J., Phang, C.W.: Expert blogs and consumer perceptions of competing brands. MIS Q. 41(2), 371–395 (2017)
Fred, S., Examining endorsement and viewership effects on the source credibility of YouTubers. University of South Florida (2015)
Zhou, W., Duan, W.: Do professional reviews affect online user choices through user reviews? an empirical study. J. Manage. Inform. Syst. 33(1), 202–228 (2016)
Amblee, N., Bui., T.: Freeware downloads: an empirical investigation into the impact of expert and user reviews on demand for digital goods. In: Proceedings of AMCIS 2007 (2007)
Lawrence, B., Fournier, S., Brunel, F.: When companies don’t make the ad: a multimethod inquiry into the differential effectiveness of consumer-generated advertising. J. Advertising 42(4), 292–307 (2013)
Petty, R.E., Cacioppo, J.T., Goldman, R.: Personal involvement as a determinant of argument-based persuasion. J. Pers. Soc. Psychol. 41(5), 847 (1981)
Mantel, S.P., Kardes, F.R.: The role of direction of comparison, attribute-based processing, and attitude-based processing in consumer preference. J. Consum. Res. 25(4), 335–352 (1999)
Bao, Z., Chau, M.: The impact of the collective rating presence on consumers’ perception. In: Proceedings of the International Conference on Electronic Business (ICEB 2015). Hong Kong (2015)
Clarke, K., Belk, R.W.: The effects of product involvement and task definition on anticipated consumer effort. Adv. Consum. Res. 6, 313–318 (1979)
Gu, B., Park, J., Konana, P.: Research note—the impact of external word-of-mouth sources on retailer sales of high-involvement products. Inf. Syst. Res. 23(1), 182–196 (2012)
Cheung, C.M.-Y., Sia, C.-L., Kuan, K.K.: Is this review believable? a study of factors affecting the credibility of online consumer reviews from an ELM perspective. J. Assoc. Inf. Syst. 13(8), 618 (2012)
Huang, J.H., Chen, Y.F.: Herding in online product choice. Psychol. Mark. 23(5), 413–428 (2006)
Li, M., Huang, L., Tan, C.-H., Wei, K.-K.: Helpfulness of online product reviews as seen by consumers: source and content features. Int. J. Electron. Commer. 17(4), 101–136 (2013)
McGaghie, W.C.: Professional competence evaluation. Educ. Res. 20(1), 3–9 (1991)
Freidson, E.: Professional Powers: A Study of the Institutionalization of Formal Knowledge. University of Chicago Press, Chicago (1988)
Alba, J.W., Hutchinson, J.W.: Dimensions of consumer expertise. J. Consum. Res. 13(4), 411–454 (1987)
De Bont, C.J., Schoormans, J.P.: The effects of product expertise on consumer evaluations of new-product concepts. J. Econ. Psychol. 16(4), 599–615 (1995)
Kahn, B.E., Meyer, R.J.: Consumer multiattribute judgments under attribute-weight uncertainty. J. Consum. Res. 17(4), 508–522 (1991)
Nosofsky, R.M.: Similarity scaling and cognitive process models. Annu. Rev. Psychol. 43(1), 25–53 (1992)
Kahneman, D., Miller, D.T.: Norm theory: comparing reality to its alternatives. Psychol. Rev. 93(2), 136 (1986)
Mussweiler, T.: Comparison processes in social judgment: mechanisms and consequences. Psychol. Rev. 110(3), 472 (2003)
Bao, Z., Chau, M.: The effect of collective rating on the perception of online reviews. In: 20th Pacific Asia Conference on Information Systems (2016)
Vallone, R.P., Ross, L., Lepper, M.R.: The hostile media phenomenon: biased perception and perceptions of media bias in coverage of the Beirut massacre. J. Pers. Soc. Psychol. 49(3), 577 (1985)
Connors, L., Mudambi, S.M, Schuff, D.: Is it the review or the reviewer? a multi-method approach to determine the antecedents of online review helpfulness. In: 2011 Proceedings of 44th Hawaii International Conference on System Sciences (HICSS). IEEE (2011)
Stevens, L. Survey Shows Rapid Growth in Online Shopping. Surveyed shoppers made 51% of their purchases on the web 2016, 8 June 2016. https://www.wsj.com/articles/survey-shows-rapid-growth-in-online-shopping-1465358582. Accessed 1 May 2018
Lancaster, K.: Consumer Demand: A New Approach. Columbia University Press, New York (1971)
Häubl, G., Murray, K.B.: Preference construction and persistence in digital marketplaces: the role of electronic recommendation agents. J. Consum. Psychol. 13(1–2), 75–91 (2003)
Tversky, A., Kahneman, D.: Rational choice and the framing of decisions. J. Bus. 59(4), S251–S278 (1986)
Gardner, M.P.: Advertising effects on attributes recalled and criteria used for brand evaluations. J. Consum. Res. 10(3), 310–318 (1983)
Liu, Q.B., Karahanna, E.: The dark side of reviews: the swaying effects of online product reviews on attribute preference construction. MIS Q. 41(2), 427–448 (2017)
Harmon, R.R., Razzouk, N.Y., Stern, B.L.: The information content of comparative magazine advertisements. J. Advertising 12(4), 10–19 (1983)
Bhattacherjee, A., Sanford, C.: Influence processes for information technology acceptance: an elaboration likelihood model. MIS Q. 30(4), 805–825 (2006)
Gist, M.E., Mitchell, T.R.: Self-efficacy: a theoretical analysis of its determinants and malleability. Acad. Manag. Rev. 17(2), 183–211 (1992)
Murray, K.B.: A test of services marketing theory: consumer information acquisition activities. J. Mark. 55(1), 10–25 (1991)
Herr, P.M.: Priming price: prior knowledge and context effects. J. Consum. Res. 16(1), 67–75 (1989)
Zhang, K.Z., Zhao, S.J., Cheung, C.M., Lee, M.K.: Examining the influence of online reviews on consumers’ decision-making: a heuristic–systematic model. Decis. Support Syst. 67, 78–89 (2014)
O’Reilly, C.A.: Variations in decision makers’ use of information sources: the impact of quality and accessibility of information. Acad. Manag. J. 25(4), 756–771 (1982)
Bell, J.: The effect of presentation form on judgment confidence in performance evaluation. J. Bus. Finance Acc. 11(3), 327–346 (1984)
Acknowledgement
This research is supported in part by the General Research Fund from the Hong Kong Research Grants Council (#17514516B) and the Seed Funding for Basic Research from the University of Hong Kong (#104003314).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Bao, Z., Chau, M. (2019). How Do Novice Consumers Learn from Online Expert Reviews?. In: Xu, J., Zhu, B., Liu, X., Shaw, M., Zhang, H., Fan, M. (eds) The Ecosystem of e-Business: Technologies, Stakeholders, and Connections. WEB 2018. Lecture Notes in Business Information Processing, vol 357. Springer, Cham. https://doi.org/10.1007/978-3-030-22784-5_10
Download citation
DOI: https://doi.org/10.1007/978-3-030-22784-5_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-22783-8
Online ISBN: 978-3-030-22784-5
eBook Packages: Computer ScienceComputer Science (R0)