An Empirical Study of Free Product Sampling and Rating Bias

Published Online:https://doi.org/10.1287/isre.2018.0801

References

  • Ailloni-Charas D (1984) Promotion: A Guide to Effective Promotional Planning, Strategies, and Executions (John Wiley & Sons, New York).Google Scholar
  • Ajzen I, Fishbein M (1972) Attitudes and normative beliefs as factors influencing behavioral intentions. J. Personality Soc. Psych. 21(1):1–9.CrossrefGoogle Scholar
  • Angrist JD, Pischke J-S (2008) Mostly Harmless Econometrics: An Empiricist’s Companion (Princeton University Press, Princeton, NJ).CrossrefGoogle Scholar
  • Antweiler W, Frank MZ (2004) Is all that talk just noise? The information content of internet stock message boards. J. Finance 59(3):1259–1294.CrossrefGoogle Scholar
  • Austin PC (2010) Statistical criteria for selecting the optimal number of untreated subjects matched to each treated subject when using many-to-one matching on the propensity score. Amer. J. Epidemiology 172(9):1092–1097.CrossrefGoogle Scholar
  • Bawa K, Shoemaker R (2004) The effects of free sample promotions on incremental brand sales. Marketing Sci. 23(3):345–363.LinkGoogle Scholar
  • Biswas D, Grewal D, Roggeveen A (2010) How the order of sampled experiential products affects choice. J. Marketing Res. 47(3):508–519.CrossrefGoogle Scholar
  • Biswas D, Labrecque LI, Lehmann DR, Markos E (2014) Making choices while smelling, tasting, and listening: The role of sensory (dis) similarity when sequentially sampling products. J. Marketing 78(1):112–126.CrossrefGoogle Scholar
  • Blau PM (1964) Exchange and Power in Social Life (Wiley, New York).Google Scholar
  • BrightLocal (2016) Local consumer review survey. Accessed October 21, 2017, https://www.brightlocal.com/learn/local-consumer-review-survey/.Google Scholar
  • Büyükkurt BK (1986) Integration of serially sampled price information: Modeling and some findings. J. Consumer Res. 13(3):357–373.CrossrefGoogle Scholar
  • Chellappa RK, Shivendu S (2005) Managing piracy: Pricing and sampling strategies for digital experience goods in vertically segmented markets. Inform. Systems Res. 16(4):400–417.LinkGoogle Scholar
  • Chen H, De P, Hu YJ, Hwang B-H (2014) Wisdom of crowds: The value of stock opinions transmitted through social media. Rev. Financial Stud. 27(5):1367–1403.CrossrefGoogle Scholar
  • Chen Y, Xie J (2008) Online consumer review: Word-of-mouth as a new element of marketing communication mix. Management Sci. 54(3):477–491.LinkGoogle Scholar
  • Cheng HK, Liu Y (2012) Optimal software free trial strategy: The impact of network externalities and consumer uncertainty. Inform. Systems Res. 23(2):488–504.LinkGoogle Scholar
  • Chevalier JA, Mayzlin D (2006) The effect of word of mouth on sales: Online book reviews. J. Marketing Res. 43(3):345–354.CrossrefGoogle Scholar
  • Chintagunta PK, Gopinath S, Venkataraman S (2010) The effects of online user reviews on movie box office performance: Accounting for sequential rollout and aggregation across local markets. Marketing Sci. 29(5):944–957.LinkGoogle Scholar
  • Cialdini RB (1993) Influence: The Psychology of Persuasion (Quill William Morrow, New York).Google Scholar
  • Clemons EK, Gao GG, Hitt LM (2006) When online reviews meet hyperdifferentiation: A study of the craft beer industry. J. Management Inform. Systems 23(2):149–171.CrossrefGoogle Scholar
  • Das SR, Chen MY (2007) Yahoo! for Amazon: Sentiment extraction from small talk on the web. Management Sci. 53(9):1375–1388.LinkGoogle Scholar
  • Dellarocas C (2003) The digitization of word of mouth: Promise and challenges of online feedback mechanisms. Management Sci. 49(10):1407–1424.LinkGoogle Scholar
  • Duan W, Gu B, Whinston AB (2008) Do online reviews matter? An empirical investigation of panel data. Decision Support Systems 45(4):1007–1016.CrossrefGoogle Scholar
  • Fehr E, Gächter S (2000) Fairness and retaliation: The economics of reciprocity. J. Econom. Perspect. 14(3):159–181.CrossrefGoogle Scholar
  • Forman C, Ghose A, Wiesenfeld B (2008) Examining the relationship between reviews and sales: The role of reviewer identity disclosure in electronic markets. Inform. Systems Res. 19(3):291–313.LinkGoogle Scholar
  • Godes D, Mayzlin D (2009) Firm-created word-of-mouth communication: Evidence from a field test. Marketing Sci. 28(4):721–739.LinkGoogle Scholar
  • Godes D, Silva JC (2012) Sequential and temporal dynamics of online opinion. Marketing Sci. 31(3):448–473.LinkGoogle Scholar
  • Goering PA (1985) Effects of product trial on consumer expectations, demand, and prices. J. Consumer Res. 12(1):74–82.CrossrefGoogle Scholar
  • Goh K-Y, Heng C-S, Lin Z (2013) Social media brand community and consumer behavior: Quantifying the relative impact of user- and marketer-generated content. Inform. Systems Res. 24(1):88–107.LinkGoogle Scholar
  • Gouldner AW (1960) The norm of reciprocity: A preliminary statement. Amer. Sociol. Rev. 25(2):161–178.CrossrefGoogle Scholar
  • Gu B, Park J, Konana P (2012) The impact of external word-of-mouth sources on retailer sales of high-involvement products. Inform. Systems Res. 23(1):182–196.LinkGoogle Scholar
  • Hahn M, Park S, Krishnamurthi L, Zoltners AA (1994) Analysis of new product diffusion using a four-segment trial-repeat model. Marketing Sci. 13(3):224–247.LinkGoogle Scholar
  • Heckman J, Ichimura H, Todd P (1998) Matching as an econometric evaluation estimator. Rev. Econom. Stud. 65(2):261–294.CrossrefGoogle Scholar
  • Heiman A, Muller E (1996) Using demonstration to increase new product acceptance: Controlling demonstration time. J. Marketing Res. 33(4):422–430.CrossrefGoogle Scholar
  • Heiman A, McWilliams B, Shen Z, Zilberman D (2001) Learning and forgetting: Modeling optimal product sampling over time. Management Sci. 47(4):532–546.LinkGoogle Scholar
  • Jain D, Mahajan V, Muller E (1995) An approach for determining optimal product sampling for the diffusion of a new product. J. Product Innovation Management 12(2):124–135.CrossrefGoogle Scholar
  • Jamieson LF, Bass FM (1989) Adjusting stated intention measures to predict trial purchase of new products: A comparison of models and methods. J. Marketing Res. 26(3):336–345.CrossrefGoogle Scholar
  • Kempf DS, Smith RE (1998) Consumer processing of product trial and the influence of prior advertising: A structural modeling approach. J. Marketing Res. 35(3):325–338.CrossrefGoogle Scholar
  • Lee Y-J, Tan Y (2013) Effects of different types of free trials and ratings in sampling of consumer software: An empirical study. J. Management Inform. Systems 30(3):213–246.CrossrefGoogle Scholar
  • Li X, Hitt LM (2008) Self-selection and information role of online product reviews. Inform. Systems Res. 19(4):456–474.LinkGoogle Scholar
  • Li X, Hitt LM (2010) Price effects in online product reviews: An analytical model and empirical analysis. MIS Quart. 34(4):809–831.CrossrefGoogle Scholar
  • Lin Z (2014) An empirical investigation of user and system recommendations in e-commerce. Decision Support Systems 68:111–124.CrossrefGoogle Scholar
  • Lin Z, Heng C-S (2015) The paradoxes of word of mouth in electronic commerce. J. Management Inform. Systems 32(4):246–284.CrossrefGoogle Scholar
  • Lin Z, Goh K-Y, Heng C-S (2017) The demand effects of product recommendation networks: An empirical analysis of network diversity and stability. MIS Quart. 41(2):397–426.CrossrefGoogle Scholar
  • Liu Y (2006) Word of mouth for movies: Its dynamics and impact on box office revenue. J. Marketing 70(3):74–89.CrossrefGoogle Scholar
  • Mano H, Oliver RL (1993) Assessing the dimensionality and structure of the consumption experience: Evaluation, feeling, and satisfaction. J. Consumer Res. 20(3):451–466.CrossrefGoogle Scholar
  • Marks LJ, Kamins MA (1988) The use of product sampling and advertising: Effects of sequence of exposure and degree of advertising claim exaggeration on consumers’ belief strength, belief confidence, and attitudes. J. Marketing Res. 25(3):266–281.CrossrefGoogle Scholar
  • Mas A, Moretti E (2009) Peers at work. Amer. Econom. Rev. 99(1):112–145.CrossrefGoogle Scholar
  • Mayzlin D (2006) Promotional chat on the internet. Marketing Sci. 25(2):155–163.LinkGoogle Scholar
  • Mizik N, Jacobson R (2004) Are physicians “easy marks”? Quantifying the effects of detailing and sampling on new prescriptions. Management Sci. 50(12):1704–1715.LinkGoogle Scholar
  • Moe WW, Trusov M (2011) The value of social dynamics in online product ratings forums. J. Marketing Res. 48(3):444–456.CrossrefGoogle Scholar
  • Montoya R, Netzer O, Jedidi K (2010) Dynamic allocation of pharmaceutical detailing and sampling for long-term profitability. Marketing Sci. 29(5):909–924.LinkGoogle Scholar
  • Mudambi SM, Schuff D (2010) What makes a helpful online review? A study of customer reviews on Amazon.com. MIS Quart. 34(1):185–200.CrossrefGoogle Scholar
  • Mussweiler T (2003) Comparison processes in social judgment: Mechanisms and consequences. Psych. Rev. 110(3):472–489.CrossrefGoogle Scholar
  • Niculescu MF, Wu D (2014) Economics of free under perpetual licensing: Implications for the software industry. Inform. Systems Res. 25(1):173–199.LinkGoogle Scholar
  • Nowlis SM, Shiv B (2005) The influence of consumer distractions on the effectiveness of food-sampling programs. J. Marketing Res. 42(2):157–168.CrossrefGoogle Scholar
  • Oliver RL (1977) Effect of expectation and disconfirmation on postexposure product evaluations: An alternative interpretation. J. Appl. Psych. 62(4):480–486.CrossrefGoogle Scholar
  • Oliver RL (1980) A cognitive model of the antecedents and consequences of satisfaction decisions. J. Marketing Res. 17(4):460–469.CrossrefGoogle Scholar
  • Pavlou PA, Dimoka A (2006) The nature and role of feedback text comments in online marketplaces: Implications for trust building, price premiums, and seller differentiation. Inform. Systems Res. 17(4):392–414.LinkGoogle Scholar
  • Rosenbaum PR, Rubin DB (1983) The central role of the propensity score in observational studies for causal effects. Biometrika 70(1):41–55.CrossrefGoogle Scholar
  • Rothschild ML, Gaidis WC (1981) Behavioral learning theory: Its relevance to marketing and promotions. J. Marketing 45(2):70–78.CrossrefGoogle Scholar
  • Schlosser AE (2005) Posting versus lurking: Communicating in a multiple audience context. J. Consumer Res. 32(2):260–265.CrossrefGoogle Scholar
  • Schultz DE, Robinson WA, Petrison LA (1998) Sales Promotion Essentials (NTC Business Books, Lincolnwood, IL).Google Scholar
  • Schwartz D, Gorman AH, Nakamoto J, McKay T (2006) Popularity, social acceptance, and aggression in adolescent peer groups: Links with academic performance and school attendance. Developmental Psych. 42(6):1116–1127.CrossrefGoogle Scholar
  • Scott CA (1976) The effects of trial and incentives on repeat purchase behavior. J. Marketing Res. 13(3):263–269.CrossrefGoogle Scholar
  • Shiv B, Nowlis SM (2004) The effect of distractions while tasting a food sample: The interplay of informational and affective components in subsequent choice. J. Consumer Res. 31(3):599–608.CrossrefGoogle Scholar
  • Shoemaker RW, Shoaf FR (1975) Behavioral changes in the trial of new products. J. Consumer Res. 2(2):104–109.CrossrefGoogle Scholar
  • Smith RE (1993) Integrating information from advertising and trial: Processes and effects on consumer response to product information. J. Marketing Res. 30(2):204–219.CrossrefGoogle Scholar
  • Smith RE, Swinyard WR (1983) Attitude-behavior consistency: The impact of product trial versus advertising. J. Marketing Res. 20(3):257–267.CrossrefGoogle Scholar
  • Taobao (2017) About Taobao. Accessed October 21, 2017, http://www.taobao.com/about/intro.php.Google Scholar
  • Tirunillai S, Tellis G (2012) Does chatter really matter? Dynamics of user-generated content and stock performance. Marketing Sci. 31(2):198–215.LinkGoogle Scholar
  • Tucker C, Zhang J (2011) How does popularity information affect choices? A field experiment. Management Sci. 57(5):828–842.LinkGoogle Scholar
  • Wadhwa M, Shiv B, Nowlis SM (2008) A bite to whet the reward appetite: The influence of sampling on reward-seeking behaviors. J. Marketing Res. 45(4):403–413.CrossrefGoogle Scholar
  • Wang A, Zhang M, Hann I-H (2018) Socially nudged: A quasi-experimental study of friends’ social influence in online product ratings. Inform. Systems Res. 29(3):641–655.LinkGoogle Scholar
  • Wu F, Huberman B (2008) How public opinion forms. Papadimitriou C, Zhang S, eds. Internet and Network Economics (Springer, Berlin), 334–341.CrossrefGoogle Scholar
  • Xu SX, Zhang X (2013) Impact of Wikipedia on market information environment: Evidence on management disclosure and investor reaction. MIS Quart. 37(4):1043–1068.CrossrefGoogle Scholar
  • Zeithaml VA (1988) Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. J. Marketing 52(3):2–22.CrossrefGoogle Scholar
  • Zhang J (2010) The sound of silence: Observational learning in the U.S. kidney market. Marketing Sci. 29(2):315–335.LinkGoogle Scholar
  • Zhu F, Zhang X (2010) Impact of online consumer reviews on sales: The moderating role of product and consumer characteristics. J. Marketing 74(2):133–148.CrossrefGoogle Scholar
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