Online Display Advertising: Targeting and Obtrusiveness

References

• Aaker D. A., Kumar V., Day G. S.Marketing Research (2004) 8th ed.(John Wiley & Sons, New York) Google Scholar
• Acquisti A., Varian H. R. Conditioning prices on purchase history. Marketing Sci. (2005) 24(3):367–381Link, Google Scholar
• Ai C., Norton E. C. Interaction terms in logit and probit models. Econom. Lett. (2003) 80(1):123–129Crossref, Google Scholar
• Angrist J. D., Pischke J.-S.Mostly Harmless Econometrics: An Empiricist's Companion (2009) (Princeton University Press, Princeton, NJ) Crossref, Google Scholar
• Bemmaor A. C. Predicting behavior from intention-to-buy measures: The parametric case. J. Marketing Res. (1995) 32(2):176–191Crossref, Google Scholar
• Bentler P. M., Chou C.-P. Practical issues in structural modeling. Sociol. Methods Res. (1987) 16(1):78–117Crossref, Google Scholar
• Boush D. M., Friestad M., Wright P.Deception in the Marketplace: The Psychology of Deceptive Persuasion and Consumer Self Protection (2009) (Taylor & Francis, New York) Google Scholar
• Campbell M. C. When attention-getting tactics elicit consumer inferences of manipulative intent: The importance of balancing benefits and investments. J. Consumer Psych. (1995) 4(3):225–254Crossref, Google Scholar
• Campbell M. C., Kirmani A. Consumers' use of persuasion knowledge: The effects of accessibility and cognitive capacity on perceptions of an influence agent. J. Consumer Res. (2000) 27(1):69–83Crossref, Google Scholar
• Chatterjee P., Hoffman D. L., Novak T. P. Modeling the clickstream: Implications for Web-based advertising efforts. Marketing Sci. (2003) 22(4):520–541Link, Google Scholar
• Chen Y., Narasimhan C., Zhang Z. J. Individual marketing with imperfect targetability. Marketing Sci. (2001) 20(1):23–41Link, Google Scholar
• Cho C.-H., Cheon H. J. Why do people avoid advertising on the internet? J. Advertising (2003) 33(4):89–97Crossref, Google Scholar
• Clark C. R., Doraszelski U., Draganska M. The effect of advertising on brand awareness and perceived quality: An empirical investigation using panel data. Quant. Marketing Econom. (2009) 7(2):207–236Crossref, Google Scholar
• Drèze X., Hussherr F.-X. Internet advertising: Is anybody watching? J. Interactive Marketing (2003) 17(4):8–23Crossref, Google Scholar
• Edwards S. M., Li H., Lee J.-H. Forced exposure and psychological reactance: Antecedents and consequences of the perceived intrusiveness of pop-up ads. J. Advertising (2002) 31(3):83–95Crossref, Google Scholar
• Fink A.How to Conduct Surveys: A Step-by-Step Guide (2009) 4th ed.(SAGE Publications, Thousand Oaks, CA) Google Scholar
• Friestad M., Wright P. The persuasion knowledge model: How people cope with persuasion attempts. J. Consumer Res. (1994) 21(1):1–31Crossref, Google Scholar
• Fudenberg D., Villas-Boas J. M., Hendershott T. Behavior-based price discrimination and customer recognition. Economics and Information Systems: Handbooks in Information Systems (2006) 1(Elsevier, Amsterdam) 377–436Crossref, Google Scholar
• Ghose A., Yang S. An empirical analysis of search engine advertising: Sponsored search in electronic markets. Management Sci. (2009) 55(10):1605–1622Link, Google Scholar
• Godes D., Mayzlin D. Firm-created word-of-mouth communication: Evidence from a field test. Marketing Sci. (2009) 28(4):721–739Link, Google Scholar
• Goldfarb A., Tucker C. Search engine advertising: Channel substituion when pricing ads to context. Management Sci. (2011) 57(3):458–470Link, Google Scholar
• Hallerman D. US advertising spending: The new reality. (2009) . eMarketer technical report (April), http://www.emarketer.com/Report.aspx?code=emarketer_2000576Google Scholar
• Heckler S. E., Childers T. L. The role of expectancy and relevancy in memory for verbal and visual information: What is incongruency? J. Consumer Res. (1992) 18(4):475–492Crossref, Google Scholar
• Hermalin B. E., Katz M. L. Privacy, property rights and efficiency: The economics of privacy as secrecy. Quant. Marketing Econom. (2006) 4(3):209–239Crossref, Google Scholar
• Hollis N. Ten years of learning on how online advertising builds brands. J. Advertising Res. (2005) 45(2):255–268Crossref, Google Scholar
• Horrace W. C., Oaxaca R. L. Results on the bias and inconsistency of ordinary least squares for the linear probability model. Econom. Lett. (2006) 90(3):321–327Crossref, Google Scholar
• Hui K.-L., Png I. P. L., Hendershott T. The economics of privacy. Economics and Information Systems: Handbooks in Information Systems (2006) 1(Elsevier, Amsterdam) 471–497Crossref, Google Scholar
• Johnson D. R., Creech J. C. Ordinal measures in multiple indicator models: A simulation study of categorization error. Amer. Sociol. Rev. (1983) 48(3):398–407Crossref, Google Scholar
• Kempe D., Wilbur K. C. What can television networks learn from search engines? How to select, order, and price ads to maximize advertiser welfare. (2009) . Working paper, Duke University, Durham, NCGoogle Scholar
• Khan I. Nothing but Net: 2009 Internet investment guide. (2009) . Technical report, J. P. Morgan, New YorkGoogle Scholar
• Kirmani A., Zhu R. (J.). Vigilant against manipulation: The effect of regulatory focus on the use of persuasion knowledge. J. Marketing Res. (2007) 44(4):688–701Crossref, Google Scholar
• Kline T. J. B.Psychological Testing: A Practical Approach to Design and Evaluation (2005) (Sage Publications, Thousand Oaks, CA) Google Scholar
• Krauss C., Nitke M., Pinto F. Bain/IAB digital pricing research. (2008) . Technical report (August), Interactive Advertising Bureau, New YorkGoogle Scholar
• Kumaraguru P., Cranor L. F. Privacy indexes: A survey of westin's studies. (2005) . Working Paper CMU-ISRI-5-138, Carnegie Mellon University, PittsburghGoogle Scholar
• Levinsohn J., Petrin A. Estimating production functions using inputs to control for unobservables. Rev. Econom. Stud. (2003) 70(2):317–341Crossref, Google Scholar
• Lewis R., Reiley D. Retail advertising works! Measuring the effects of advertising on sales via a controlled experiment on Yahoo! (2009) . Yahoo! Research technical report, Sunnyvale, CAGoogle Scholar
• Malhotra N. K.Marketing Research: An Applied Orientation (2007) 5th ed.(Pearson Education, Upper Saddle River, NJ) Crossref, Google Scholar
• Manchanda P., Dubé J.-P., Goh K. Y., Chintagunta P. K. The effect of banner advertising on Internet purchasing. J. Marketing Res. (2006) 43(1):98–108Crossref, Google Scholar
• Mandler G., Clark M. S., Fiske S. T. The structure of value: Accounting for taste. Affect and Cognition: 17th Annual Carnegie Mellon Symposium on Cognition (1982) (Lawrence Erlbaum Associates, Hillsdale, NJ) 3–36Google Scholar
• Morwitz V. G., Steckel J. H., Gupta A. When do purchase intentions predict sales? Internat. J. Forecasting (2007) 23(3):347–364Crossref, Google Scholar
• Palumbo P. Online video media spend: 2003–2010. (2009) . AccuStream iMedia Research technical report (January 13), http://www.accustreamresearch.com/products/onlinevideo03-2010.htmGoogle Scholar
• Russell C. A. Investigating the effectiveness of product placements in television shows: The role of modality and plot connection congruence on brand memory and attitude. J. Consumer Res. (2002) 29(3):306–318Crossref, Google Scholar
• Rutz O., Bucklin R. The effects of Internet banner advertising exposure on within-site browsing behavior. (2009) . Working paper, Yale University, New Haven, CTGoogle Scholar
• Schatz A. Regulators rethink approach to online privacy. Wall Street Journal (2009) August 5). http://online.wsj.com/article/SB124949972905908593.htmlGoogle Scholar
• Spalding L., Cole S., Fayer A. The brand value of rich media and video ads. (2009) . DoubleClick research report (June), http://www.dynamiclogic.com/na/research/industry_presentations/docs/Brand_Value_Rich_Media_Aug09.pdfGoogle Scholar
• Tsai J. Y., Egelman S., Cranor L., Acquisti A. The effect of online privacy information on purchasing behavior: An experimental study. Inform. Systems Res. (2011) 22(2):261–278Link, Google Scholar
• Turow J., King J., Hoofnagle C. J., Bleakley A., Hennessy M. Contrary to what marketers say, Americans reject tailored advertising and three activities that enable it. (2009) . Working paper, Annenberg School for Communication, University of Pennsylvania, Philadelphia. http://graphics8.nytimes.com/packages/pdf/business/20090929-Tailored_Advertising.pdfGoogle Scholar
• Turrell G. Income non-reporting: Implications for health inequalities research. J. Epidemiology Community Health (2000) 54(3):207–214Crossref, Google Scholar
• Van Noort G., Kerkhof P., Fennis B. M. The persuasiveness of online safety cues: The impact of prevention focus compatibility of Web content on consumers' risk perceptions, attitudes, and intentions. J. Interactive Marketing (2008) 22(4):58–72Crossref, Google Scholar
• Wang K., Chen S.-H., Chang H.-L. The effects of forced ad exposure on the Web. J. Informatics Electronics (2008) 3(1):27–38Google Scholar
• Wathieu L., Friedman A. An empirical approach to understanding privacy concerns. (2009) . ESMT Working Paper 09-001, ESMT European School of Management and Technology, BerlinGoogle Scholar
• Wilbur K. C., Goeree M. S., Ridder G. Effects of advertising and product placement on television audiences. (2009) . Marshall School of Business, Working Paper MKT 09-09, University of Southern California, Los AngelesGoogle Scholar