The Value of Personal Data in Internet Commerce: A High-Stakes Field Experiment on Data Regulation Policy

References

• Abowd JM, Schmutte IM (2019) An economic analysis of privacy protection and statistical accuracy as social choices. Amer. Econom. Rev. 109(1):171–202.Crossref, Google Scholar
• Acquisti A, Brandimarte L, Loewenstein G (2015) Privacy and human behavior in the age of information. Science 347(6221):509–514.Crossref, Google Scholar
• Acquisti A, Taylor C, Wagman L (2016) The economics of privacy. J. Econom. Literature 54(2):442–492.Crossref, Google Scholar
• Adamopoulos P, Tuzhilin A (2013) Recommendation opportunities: Improving item prediction using weighted percentile methods in collaborative filtering systems. Yang Q, King I, Li Q, Pu P, Karypis G, General and Program Chairs. Proc. Seventh ACM Conf. Recommender Systems (RecSys ‘13) (ACM, New York).Google Scholar
• Adjerid I, Acquisti A, Telang R, Padman R, Adler-Milstein J (2016) The impact of privacy regulation and technology incentives: The case of health information exchanges. Management Sci. 62(4):1042–1063.Link, Google Scholar
• Adomavicius G, Tuzhilin A (2005) Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Trans. Knowledge Data Engrg. 17(6):734–749.Crossref, Google Scholar
• Ascarza E (2018) Retention futility: Targeting high-risk customers might be ineffective. J. Marketing Res. 55(1):80–98.Google Scholar
• Azevedo E, Weyl G (2016) Matching markets in the digital age. Science 352(6289):1056–1057.Crossref, Google Scholar
• Aziz A, Telang R (2016) What is a digital cookie worth? Preprint, submitted July 6, 2021, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2757325.Google Scholar
• Bakos Y (1997) Reducing buyer search costs: Implications for electronic marketplaces. Management Sci. 43(12):1676–1692.Link, Google Scholar
• Bakos Y (2001) The emerging landscape for retail e-commerce. J. Econom. Perspect. 15(1):69–80.Crossref, Google Scholar
• Banerjee AV (2020) Field experiments and the practice of economics. Amer. Econom. Rev. 110(7):1937–1951.Crossref, Google Scholar
• Bar-Isaac H, Caruana G, Cuñat V (2012) Search, design, and market structure. Amer. Econom. Rev. 102(2):1140–1160.Crossref, Google Scholar
• Brynjolfsson E, Smith MD (2000) Frictionless commerce? A comparison of internet and conventional retailers. Management Sci. 46(4):563–585.Link, Google Scholar
• Brynjolfsson E, Hu Y, Simester D (2011) Goodbye Pareto principle, hello long tail: The effect of search costs on the concentration of product sales. Management Sci. 57(8):1373–1386.Link, Google Scholar
• Brynjolfsson E, Hu Y, Smith MD (2003) Consumer surplus in the digital economy: Estimating the value of increased product variety at online booksellers. Management Sci. 49(11):1580–1596.Link, Google Scholar
• Brynjolfsson E, Hui X, Liu M (2019) Does machine translation affect international trade? Evidence from a large digital platform. Management Sci. 65(12):5449–5460.Link, Google Scholar
• Campbell J, Goldfarb A, Tucker C (2015) Privacy regulation and market structure. J. Econom. Management Strategy 24(1):47–73.Crossref, Google Scholar
• Chan T, Hamdi N, Hui X, Jiang Z (2022) The value of verified employment data for consumer lending: Evidence from Equifax. Marketing Sci. 41(4):795–814.Google Scholar
• Chen Y, Iyer G (2002) Consumer addressability and customized pricing. Marketing Sci. 21(2):197–208.Link, Google Scholar
• Chiou L, Tucker C (2017) Search engines and data retention: Implications for privacy and antitrust. Evans DS, Fels AO A, Tucker C, eds. Chapter in Competition Policy International’s The Evolution of Antitrust in the Digital Era: Essays on Competition Policy, Volume II, 2021.Google Scholar
• Chu J, Manchanda P (2016) Quantifying cross and direct network effects in online consumer-to-consumer platforms. Marketing Sci. 35(6):870–893.Link, Google Scholar
• Claussen J, Peukert C, Sen A (2019) The editor vs. the algorithm: Economic returns to data and externalities in online news. Paper presented at CESifo Area Conference on Global Economy. CESifo Conference Centre, München, Germany. https://www.cesifo.org/sites/default/files/ed19_Claussen.pdf.Google Scholar
• Dinerstein M, Einav L, Levin J, Sundaresan N (2018) Consumer price search and platform design in internet commerce. Amer. Econom. Rev. 108(7):1820–1859.Crossref, Google Scholar
• Dolfen P, Einav L, Klenow PJ, Klopack B, Levin JD, Levin L, Best W (2023) Assessing the gains from e-commerce. Amer. Econom. J. Macroeconomics 15(1):342–370.Google Scholar
• Duflo E (2020) Field experiments and the practice of policy. Amer. Econom. Rev. 110(7):1952–1973.Crossref, Google Scholar
• Duflo E, Glennerster R, Kremer M (2007) Using randomization in development economics research: A toolkit. Handbook of Development Economics, 3895–3962.Google Scholar
• Einav L, Levin J, Popov I, Sundaresan N (2014) Growth, adoption, and use of mobile e-commerce. Amer. Econom. Rev. 104(5):489–494.Crossref, Google Scholar
• Ellison G, Ellison SF (2005) Lessons about markets from the internet. J. Econom. Perspect. 19(2):139–158.Crossref, Google Scholar
• Ellison G, Ellison SF (2009) Search, obfuscation, and price elasticities on the internet. Econometrica 77(2):427–452.Crossref, Google Scholar
• Fan Y, Ju J, Xiao M (2016) Reputation premium and reputation management: Evidence from the largest e-commerce platform in China. Internat. J. Indust. Organ. 46:63–76.Crossref, Google Scholar
• Federal Trade Commission (2016) Big data: A tool for inclusion or exclusion? Accessed October 21, 2020, https://www.ftc.gov/system/les/documents/reports/big-data-tool-inclusion-or-exclusion-understanding-issues/160106big-data-rpt.pdf.Google Scholar
• Fleder D, Hosanagar K (2009) Blockbuster culture’s next rise or fall: The impact of recommender systems on sales diversity. Management Sci. 55(5):697–712.Link, Google Scholar
• Fong N (2016) How targeting affects customer search: A field experiment. Management Sci. 63(7):2353–2364.Link, Google Scholar
• Fong N, Zhang Y, Luo X, Wang X (2019) Targeted promotions on an e-book platform: Crowding out, heterogeneity, and opportunity costs. J. Marketing Res. 56(2):310–323.Crossref, Google Scholar
• Forman C, Ghose A, Goldfarb A (2009) Competition between local and electronic markets: How the benefit of buying online depends on where you live. Management Sci. 55(1):47–57.Link, Google 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.Link, Google Scholar
• Forman C, Goldfarb A, Greenstein S (2018) How geography shapes—and is shaped by—the internet. The New Oxford Handbook of Economic Geography (Oxford University Press, New York), 269–285.Google Scholar
• Fudenberg D, Miguel Villas-Boas J (2007) Behavior-based price discrimination and customer recognition. Hendershott T, ed. Economics and Information Systems (Emerald, Bingley, UK), 377–436.Google Scholar
• Ghose A, Ipeirotis PG, Li B (2012) Designing ranking systems for hotels on travel search engines by mining user-generated and crowdsourced content. Marketing Sci. 31(3):493–520.Link, Google Scholar
• Ghose A, Ipeirotis PG, Li B (2014) Examining the impact of ranking on consumer behavior and search engine revenue. Management Sci. 60(7):1632–1654.Link, Google Scholar
• Ghose A, Ipeirotis PG, Li B (2019a) Modeling consumer footprints on search engines: An interplay with social media. Management Sci. 65(3):1363–1385.Link, Google Scholar
• Ghose A, Kwon HE, Lee D, Oh W (2019b) Seizing the commuting moment: Contextual targeting based on mobile transportation apps. Inform. Systems Res. 30(1):154–174.Link, Google Scholar
• Godinho de Matos M, Adjerid I (2022) Consumer consent and firm targeting after GDPR: The case of a large telecom provider. Management Sci. 68(5):3330–3378.Google Scholar
• Goh K-Y, Hui K-L, Png IPL (2015) Privacy and marketing externalities: Evidence from do not call. Management Sci. 61(12):2982–3000.Link, Google Scholar
• Goldberg S, Johnson G, Shriver S (2019) Regulating privacy online: An economic evaluation of the GDPR. Law & Economics Center at George Mason University Scalia Law School Research Paper Series No. 22-025. Preprint, submitted July 18, http://dx.doi.org/10.2139/ssrn.3421731.Google Scholar
• Goldfarb A (2014) What is different about online advertising? Rev. Indust. Organ. 44(2):115–129.Crossref, Google Scholar
• Goldfarb A, Tucker C (2011a) Advertising bans and the substitutability of online and offline advertising. J. Marketing Res. 48(2):207–227.Crossref, Google Scholar
• Goldfarb A, Tucker C (2011b) Online display advertising: Targeting and obtrusiveness. Marketing Sci. 30(3):389–404.Link, Google Scholar
• Goldfarb A, Tucker C (2011c) Privacy regulation and online advertising. Management Sci. 57(1):57–71.Link, Google Scholar
• Goldfarb A, Tucker C (2012a) Privacy and innovation. Lerner J, Stern S, eds. Innovation Policy and the Economy, vol. 12 (University of Chicago Press, Chicago, IL), 65–89.Google Scholar
• Goldfarb A, Tucker C (2012b) Shifts in privacy concerns. Amer. Econom. Rev. 102(3):349–353.Crossref, Google Scholar
• Goldfarb A, Tucker C (2019) Digital economics. J. Econom. Literature 57(1):3–43.Crossref, Google Scholar
• Gu G, Zhu F (2021) Trust and disintermediation: Evidence from an online freelance marketplace. Management Sci. 67(2):794–807.Link, Google Scholar
• Harrison GW, List JA (2004) Field experiments. J. Econom. Literature 42(4):1009–1055.Crossref, Google Scholar
• Honka E (2014) Quantifying search and switching costs in the United States auto insurance industry. RAND J. Econom. 45(4):847–884.Crossref, Google Scholar
• Hong Y, Pavlou PA (2017) On buyer selection of service providers in online outsourcing platforms for IT services. Inform. Systems Res. 28(3):547–562.Google Scholar
• Horton JJ, Tambe P (2015) Labor economists get their microscope: Big data and labor market analysis. Big Data 3(3):130–137.Crossref, Google Scholar
• Hosanagar K, Fleder D, Lee D, Buja A (2014) Will the global village fracture into tribes? Recommender systems and their effects on consumer fragmentation. Management Sci. 60(4):805–823.Link, Google Scholar
• Hui X, Saeedi M, Shen Z, Sundaresan N (2016) Reputation and regulations: Evidence from eBay. Management Sci. 62(12):3604–3616.Link, Google Scholar
• Jia J, Jin GZ, Wagman L (2021) The short-run effects of the general data protection regulation on technology venture investment. Marketing Sci. 40(4):661–684.Google Scholar
• Jin GZ (2018) Artificial intelligence and consumer privacy. Agrawal A, Gans, J, Goldfarb A, eds. The Economics of Artificial Intelligence: An Agenda (University of Chicago Press, Chicago), 439–462.Google Scholar
• Johnson G, Shriver S, Du S (2020) Consumer privacy choice in online advertising: Who opts out and at what cost to industry? Marketing Sci. 39(1):33–51.Link, Google Scholar
• Kumar A, Hosanagar K (2019) Measuring the value of recommendation links on product demand. Inform. Systems Res. 30(3):819–838.Link, Google Scholar
• Lee D, Hosanagar K (2019) How do recommender systems affect sales diversity? A cross-category investigation via randomized field experiment. Inform. Systems Res. 30(1):239–259.Link, Google Scholar
• Li X, Grahl J, Hinz O (2022) How do recommender systems lead to consumer purchases? A causal mediation analysis of a field experiment. Inform. Systems Res. 33(2):620–637.Link, Google Scholar
• Lin T (2022) Valuing intrinsic and instrumental preferences for privacy. Marketing Sci. 41(4):663–681.Link, Google Scholar
• Linden G, Smith B, York J (2003) Amazon.com recommendations: Item-to-item collaborative filtering. IEEE Internet Comput. 7(1):76–80.Crossref, Google Scholar
• Luo X, Andrews M, Fang Z, Phang CW (2014) Mobile targeting. Management Sci. 60(7):1738–1756.Link, Google Scholar
• Lv F, Jin T, Yu C, Sun F, Lin Q, Yang K, Ng W (2019) SDM: Sequential deep matching model for online large-scale recommender system. Zhu W, Tao D, Cheng X, Cui P, Rundensteiner E, Carmel D, He Q, Xu Yu J, General and Program Chairs. Proc. 28th ACM Internat. Conf. Inform. Knowledge Management (Association for Computing Machinery, New York), 2635–2643.Google Scholar
• Lynch JG, Ariely D (2000) Wine online: Search costs affect competition on price, quality, and distribution. Marketing Sci. 19(1):83–103.Link, Google Scholar
• Marotta V, Wu Y, Zhang K, Acquisti A (2022) The welfare impact of targeted advertising technologies. Inform. Systems Res. 33(1):131–151.Google Scholar
• Miller AR, Tucker C (2009) Privacy protection and technology diffusion: The case of electronic medical records. Management Sci. 55(7):1077–1093.Link, Google Scholar
• Oestreicher-Singer G, Sundararajan A (2012) Recommendation networks and the long tail of electronic commerce. MIS Quart. 36(1):65–83.Crossref, Google Scholar
• Overby E, Forman C (2015) The effect of electronic commerce on geographic purchasing patterns and price dispersion. Management Sci. 61(2):431–453.Link, Google Scholar
• Rafieian O, Yoganarasimhan H (2021) Targeting and privacy in mobile advertising. Marketing Sci. 40(2):193–218.Link, Google Scholar
• Sarwar B, Karypis G, Konstan J, Riedl J (2001) Item-based collaborative filtering recommendation algorithms. Shen VY, Saito N, Lyu MR, Chairmen. Proc. 10th Internat. Conf. World Wide Web (WWW) (ACM, New York), 285–295.Google Scholar
• Shin J, Yu J (2021) Targeted advertising and consumer inference. Marketing Sci. 40(5):900–922.Link, Google Scholar
• Smith MD, Brynjolfsson E (2001) Consumer decision-making at an internet Shopbot: Brand still matters. J. Indust. Econom. 49(4):541–558.Crossref, Google Scholar
• Tucker CE (2012) The economics of advertising and privacy. Internat. J. Indust. Organ. 30(3):326–329.Crossref, Google Scholar
• Tucker CE (2014) Social networks, personalized advertising, and privacy controls. J. Marketing Res. 51(5):546–562.Crossref, Google Scholar
• Varian HR (1980) A model of sales. Amer. Econom. Rev. 70(4):651–659.Google Scholar
• Wang J, Huang P, Zhao H, Zhang Z, Zhao B, Lee DL (2018) Billion-scale commodity embedding for e-commerce recommendation in Alibaba. Guo Y, Farooq F, General Chairs. Proc. 24th ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining (ACM, New York), 839–848.Google Scholar
• Wu L, Hitt L, Lou B (2020) Data analytics, innovation, and firm productivity. Management Sci. 66(5):2017–2039.Link, Google Scholar
• Wu L, Lou B, Hitt L (2019) Data analytics supports decentralized innovation. Management Sci. 65(10):4863–4877.Link, Google Scholar
• Xu K, Chan J, Ghose A, Han SP (2016) Battle of the channels: The impact of tablets on digital commerce. Management Sci. 63(5):1469–1492.Link, Google Scholar
• Yang H (2013) Targeted search and the long tail effect. RAND J. Econom. 44(4):733–756.Crossref, Google Scholar
• Yoganarasimhan H (2020) Search personalization using machine learning. Management Sci. 66(3):1045–1070.Link, Google Scholar
• Zhang J (2011) The perils of behavior-based personalization. Marketing Sci. 30(1):170–186.Link, Google Scholar
• Zhang Y, Li B, Luo X, Wang X (2019) Personalized mobile targeting with user engagement stages: Combining a structural hidden Markov model and field experiment. Inform. Systems Res. 30(3):787–804.Link, Google Scholar
• Zhao J, Zhou Z, Guan Z, Zhao W, Ning W, Qiu G, He X (2019) IntentGC: A scalable graph convolution framework fusing heterogeneous information for recommendation. Proc. 25th ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining (ACM, New York), 2347–2357.Google Scholar