When Private Information Settles the Bill: Money and Privacy in Google’s Market for Smartphone Applications
Published Online:23 Apr 2019https://doi.org/10.1287/mnsc.2018.3132
References
- (2005) Conditioning prices on purchase history. Marketing Sci. 24(3):367–381.Link, Google Scholar
- (2015) Privacy and human behavior in the age of information. Science 347(6221):509–514.Crossref, Google Scholar
- (2013) What is privacy worth? J. Legal Stud. 42(2):249–274.Crossref, Google Scholar
- (2016) The economics of privacy. J. Econom. Literature 54(2):442–492.Crossref, Google Scholar
- App Annie (2016) App Annie mobile app forecast: The path to $100 billion. Accessed January 23, 2017, https://www.appannie.com/en/landing/forecast.Google Scholar
- AppBrain (2016) Google play stats. Accessed January 23, 2017, http://www.appbrain.com/stats/free-and-paid-android-applications.Google Scholar
- Appthority (2014) App reputation report. White paper, Appthority, San Francisco. Available at https://www.onegini.com/hubfs/White_Papers/Mobile_App_Reputation_Report-Summer-2014.pdf?t=1454942139543.Google Scholar
- (2006) Competition in two-sided markets. RAND J. Econom. 37(3):668–691.Crossref, Google Scholar
- (2015) The impact of large scale promotions on the sales and ratings of mobile apps: Evidence from Apple’s app store. Working paper, Cornell University, Ithaca, NY.Google Scholar
- (2015) What is a cookie worth? Working paper, Carnegie Mellon University, Pittsburgh.Google Scholar
- (2010) The Value of Behavioral Targeting (Network Advertising Initiative, Washington, DC).Google Scholar
- (2012) Unwillingness to pay for privacy: A field experiment. Econom. Lett. 117(1):25–27.Crossref, Google Scholar
- (1995) Automobile prices in market equilibrium. Econometrica 63(4):841–890.Crossref, Google Scholar
- (2017) Let the user speak: Is feedback on Facebook a source of firms’ innovation? ZEW discussion paper, Mannheim, Germany.Google Scholar
- (2013) Longitudinal analysis of android ad library permissions. Working paper, Rice University, Houston.Google Scholar
- (2014) Platform choice by mobile app developers. Working paper, Stanford University, Stanford, CA.Google Scholar
- (1999) Web security and privacy: An American perspective. Inform. Soc. 15(4):249–256.Crossref, Google Scholar
- (2015) Privacy regulation and market structure. J. Econom. Management Strategy 24(1):47–73.Crossref, Google Scholar
- (2012) The impact of bestseller rank on demand: Evidence from the app market. Internat. Econom. Rev. 53(3):717–742.Crossref, Google Scholar
- (2013) Your browsing behavior for a Big Mac: Economics of personal information online. Proc. 22nd Internat. Conf. World Wide Web (ACM, New York), 189–200.Crossref, Google Scholar
- (2015) Competing with privacy. Management Sci. 61(1):229–246.Link, Google Scholar
- (2017) The impact of zero-price promotions on sales: A case study of amazon Appstore. Working paper, Boston University, Boston.Google Scholar
- (2005) Personalization versus privacy: An empirical examination of the online consumer’s dilemma. Inform. Tech. Management 6(2):181–202.Crossref, Google Scholar
- (2010) Competing in crowded markets: Multimarket contact and the nature of competition in the enterprise systems software industry. Inform. Systems Res. 21(3):614–630.Link, Google Scholar
- (2012) Is this app safe? A large scale study on application permissions and risk signals. Proc. 21st Internat. Conf. World Wide Web (ACM, New York), 311–320.Google Scholar
- (2016) Networks of Control: A Report on Corporate Surveillance, Digital Tracking, Big Data & Privacy (Facultas, Vienna).Google Scholar
- (2012) Hide and seek: Costly consumer privacy in a market with repeat purchases. Marketing Sci. 31(2):277–292.Link, Google Scholar
- (2012) A multi-criteria-based evaluation of android applications. Mitchell CJ, Tomlinson A, eds. Trusted Systems (INTRUST 2012) (Springer, Berlin), 67–82.Crossref, Google Scholar
- (2017) Competitive price targeting with smartphone coupons. Marketing Sci. 36(6):944–975.Link, Google Scholar
- (2013) Choice architecture and smartphone privacy: There is a price for that. Moore T, Pym D, Ioannidis C, eds. The Economics of Information Security and Privacy (Springer, New York), 211–236.Crossref, Google Scholar
- (2016) The effect of consumer search costs on entry and quality in the mobile app market. Working paper, University of Toronto, Toronto.Google Scholar
- (2012) Why Eve and Mallory love Android: An analysis of Android SSL (in)security. Proc. 2012 ACM Conf. Comput. Comm. Security (ACM, New York), 50–61.Crossref, Google Scholar
- (2015) Geo-conquesting: Competitive locational targeting of mobile promotions. J. Marketing Res. 52(5):726–735.Crossref, Google Scholar
- (2014) Estimating demand for mobile applications in the new economy. Management Sci. 60(6):1470–1488.Link, Google Scholar
- (2011) Privacy regulation and online advertising. Management Sci. 57(1):57–71.Link, Google Scholar
- (2012) Shifts in privacy concerns. Amer. Econom. Rev. Papers Proc. 102(3):349–353.Crossref, Google Scholar
- (2005) Information revelation and privacy in online social networks. Proc. 2005 ACM Workshop Privacy Electronic Soc. (ACM, New York), 71–80.Crossref, Google Scholar
- (2007) When 25 cents is too much: An experiment on willingness-to-sell and willingness-to-protect personal information. 6th Workshop Econom. Inform. Security (WEIS), Pittsburgh.Google Scholar
- (2017) Network isolates: Entrepreneurial bootstrapping and the social disconnection of new organizations in the mobile app ecosystem. Marshall School of Business Working Paper No. 17-12, University of Southern California, Los Angeles.Google Scholar
- (2007) Overcoming online information privacy concerns: An information-processing theory approach. J. Management Inform. Systems 24(2):13–42.Crossref, Google Scholar
- (2008) Consumer privacy and marketing avoidance: A static model. Management Sci. 54(6):1094–1103.Link, Google Scholar
- (1996) Valuation of new goods under perfect and imperfect competition. The Economics of New Goods (University of Chicago Press, Chicago), 207–248.Google Scholar
- (1979) Sample selection bias as a specification error. Econometrica 47(1):153–161.Crossref, Google Scholar
- (2009) Overcoming the J-shaped distribution of product reviews. Comm. ACM 52(10):144–147.Crossref, Google Scholar
- (2007) Demographic prediction based on user’s browsing behavior. Proc. 16th Internat. Conf. World Wide Web (ACM, New York), 151–160.Crossref, Google Scholar
- International Data Corporation (2015) Worldwide quarterly mobile phone tracker. Accessed February 10, 2018, http://www.idc.com/prodserv/smartphone-os-market-share.jsp.Google Scholar
- (2012) Dr. Android and Mr. Hide: Fine-grained permissions in Android applications. Proc. 2nd ACM Workshop Security Privacy Smartphones Mobile Devices (ACM, New York), 3–14.Crossref, Google Scholar
- (2013a) The impact of privacy policy on the auction market for online display advertising. Simon School Working Paper No. FR 13-26, University of Rochester, Rochester, NY.Google Scholar
- (2013b) Targeted advertising and advertising avoidance. RAND J. Econom. 44(1):128–144.Crossref, Google Scholar
- (2016) Paying incumbents and customers to enter an industry: Buying downloads. Working paper, Peking University, Beijing.Google Scholar
- (2014) Modeling users’ mobile app privacy preferences: Restoring usability in a sea of permission settings. Proc. 10th Sympos. Usable Privacy Security (SOUPS 2014) (USENIX, Berkeley, CA), 199–212.Google Scholar
- (2012) Expectation and purpose: Understanding users’ mental models of mobile app privacy through crowdsourcing. UbiComp ’12 (ACM, New York), 501–510.Crossref, Google Scholar
- (2017) Mobile app platform choice. Working paper, University College London, London.Google Scholar
- (2014) Timely versus quality innovation: The case of mobile applications on iTunes and Google Play. Working paper, University of California, Berkeley, Berkeley.Google Scholar
- (2017) Government surveillance and internet search behavior. Working paper, Digital Fourth, Cambridge, MA.Google Scholar
- (2009) Privacy protection and technology diffusion: The case of electronic medical records. Management Sci. 55(7):1077–1093.Link, Google Scholar
- (2000) Automatic personalization based on web usage mining. Comm. ACM 43(8):142–151.Crossref, Google Scholar
- (2013) Social influence bias: A randomized experiment. Science 341(6146):647–651.Crossref, Google Scholar
- (2014) Assessing privacy risks in android: A user-centric approach. Bauer T, Großmann J, Seehusen F, Stølen K, Wendland MF, eds. Risk Assessment and Risk-Driven Testing. RISK 2013. Lecture Notes in Computer Science, vol. 8418 (Springer, Cham, Switzerland), 21–37.Google Scholar
- (2000) A practitioner’s guide to estimation of random-coefficients logit models of demand. J. Econom. Management Strategy 9(4):513–548.Crossref, Google Scholar
- (2007) The privacy paradox: Personal information disclosure intentions versus behaviors. J. Consumer Res. 41(1):100–126.Google Scholar
- Organisation for Economic Co-operation and Development (2013) Exploring the economics of personal data: A survey of methodologies for measuring monetary value. OECD Digital Economy Paper 220, Organisation for Economic Co-operation and Development, Paris.Google Scholar
- (2013) The privacy landscape: Product differentiation on data collection. Schneier B, ed. Economics of Information Security and Privacy III (Springer, New York), 263–283.Crossref, Google Scholar
- (2016) Towards a model on the factors influencing social app users’ valuation of interdependent privacy. Proc. Privacy Enhancing Tech. 2016(2):61–81.Crossref, Google Scholar
- (2011) Pay-what-you-want pricing for mobile applications: The effect of privacy assurances and social information. Proc. Conf. Inform. Systems Appl. Res., vol. 4 (EDSIG/AITP, Downers Grove, IL), 1–13.Google Scholar
- (2013) Anonymity, privacy, and security online. Discussion paper, Pew Research Center, Washington, DC.Google Scholar
- (2009) Choice and chance: A conceptual model of paths to information security compromise. Inform. Systems Res. 20(1):121–139.Link, Google Scholar
- (2003) Platform competition in two-sided markets. J. Eur. Econom. Assoc. 1(4):990–1029.Crossref, Google Scholar
- (2012) Android permissions: A perspective combining risks and benefits. Proc. 17th ACM Sympos. Access Control Models Tech. (ACM, New York), 13–22.Crossref, Google Scholar
- (2015) Privacy tradeoffs in smartphone applications. Econom. Lett. 137:171–175.Crossref, Google Scholar
- (2012) Selbstbedienungsladen smartphone. c’t (March 10), https://www.heise.de/ct/artikel/Selbstbedienungsladen-Smartphone-1464717.html.Google Scholar
- (2015) A measurement study of tracking in paid mobile applications. Proc. 8th ACM Conf. Security Privacy Wireless Mobile Networks (ACM, New York), Article 7.Crossref, Google Scholar
- (2013) Commercial software, adware, and consumer privacy. Internat. J. Indust. Organ. 31(6):702–713.Crossref, Google Scholar
- (2013) Addressing the personalization-privacy paradox: An empirical assessment from a field experiment on smartphone users. MIS Quart. 37(4):1141–1164.Crossref, Google Scholar
- (2012) The extroverted firm: How external information practices affect innovation and productivity. Management Sci. 58(5):843–859.Link, Google Scholar
- (2004) Consumer privacy and the market for customer information. RAND J. Econom. 35(4):631–650.Crossref, Google Scholar
- (2016) Quantifying permission-creep in the Google Play Store. Working paper, University of Oxford, Oxford, UK.Google Scholar
- (2011) The effect of online privacy information on purchasing behavior: An experimental study. Inform. Systems Res. 22(2):254–268.Link, Google Scholar
- (2012) The economics of advertising and privacy. Internat. J. Indust. Organ. 30(3):326–329.Crossref, Google Scholar
- (2014) Social networks, personalized advertising and privacy controls. J. Marketing Res. 51(5):546–562.Crossref, Google Scholar
- (2009) Americans reject tailored advertising and three activities that enable it. Technical report, Annenberg School for Communication, University of Pennsylvania, Philadelphia.Google Scholar
- (2002) Privacy, exposure and price discrimination. Discussion paper, Harvard Business School, Boston.Google Scholar
- (2017) Big data, price discrimination, and antitrust. Hastings Law J. 68(6):1371–1420.Google Scholar
- (2010) Econometric Analysis of Cross Section and Panel Data, 2nd ed. (MIT Press, Cambridge, MA).Google Scholar
- (2014) Entrepreneurial innovation: Killer apps in the iPhone ecosystem. Amer. Econom. Rev. Papers Proc. 104(5):255–259.Crossref, Google Scholar
- (2015) Who knows what about me? A survey of behind the scenes personal data sharing to third parties by mobile apps. Tech. Sci. (October 30), https://techscience.org/a/2015103001/.Google Scholar

