Abstract
Marketers are adopting increasingly sophisticated ways to engage with customers throughout their journeys. We extend prior perspectives on the customer journey by introducing the role of digital signals that consumers emit throughout their activities. We argue that the ability to detect and act on consumer digital signals is a source of competitive advantage for firms. Technology enables firms to collect, interpret, and act on these signals to better manage the customer journey. While some consumers’ desire for privacy can restrict the opportunities technology provides marketers, other consumers’ desire for personalization can encourage the use of technology to inform marketing efforts. We posit that this difference in consumers’ willingness to emit observable signals may hinge on the strength of their relationship with the firm. We next discuss factors that may shift consumer preferences and consequently affect the technology-enabled opportunities available to firms. We conclude with a research agenda that focuses on consumers, firms, and regulators.
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Notes
We use the term “technology” consistent with the Merriam-Webster definition of technology as “a manner of accomplishing a task especially using technical processes, methods, or knowledge.”
Despite the fact that many consumers self-disclose more online than offline (Ho & McLeod, 2008; Postmes et al., 1998), revealing information about their lifestyle, cultural identity, beliefs, and sentiment toward firms (Rakic & Rakic, 2017), they overwhelmingly take steps to conceal their actions or identities while online (86% of Americans; Pew Research Center, 2013).
References
Acquisti, A., Brandimarte, L., & Loewenstein, G. (2015). Privacy and human behavior in the age of information. Science, 347(6221), 509–514.
Agrawal, A., J. Gans, & A. Goldfarb (2017). How AI will change strategy: A thought experiment. Harvard Business Review.
Aguirre, E., Mahr, D., Grewal, D., De Ruyter, K., & Wetzels, M. (2015). Unraveling the personalization paradox: The effect of information collection and trust-building strategies on online advertisement effectiveness. Journal of Retailing, 91(1), 34–49.
Aiello, G., Donvito, R., Acuti, D., Grazzini, L., Mazzoli, V., Vannucci, V., & Viglia, G. (2020). Customers’ willingness to disclose personal information throughout the customer purchase journey in retailing: The role of perceived warmth. Journal of Retailing, 96(4), 490–506.
Ali, S.N., Lewis, G., & Vasserman, S. (2019). Voluntary disclosure and personalized pricing. NBER w26592.
Allyn, B. (2021, October 5). Here are 4 key points from the Facebook whistleblower’s testimony on Capitol Hill. NPR. https://www.npr.org/2021/10/05/1043377310/facebook-whistleblower-frances-haugen-congress. Accessed January 4, 2022.
Anderl, E., Becker, I., von Wangenheim, F., & Schumann, J. H. (2016). Mapping the customer journey: Lessons learned from graph-based online attribution modeling. International Journal of Research in Marketing, 33(3), 457–474.
Athey, S., Catalini, C., & Tucker, C. E. (2017). The Digital Privacy Paradox: Small Money, Small Costs, Small Talk. No. w23488, National Bureau of Economic Research.
Awad, N. F., & Krishnan, M. S. (2006). The personalization privacy paradox: An empirical evaluation of information transparency and the willingness to be profiled online for personalization. MIS Quarterly, 30(1), 13–28.
Babić Rosario, A., de Valck, K., & Sotgiu, F. (2020). Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation. Journal of the Academy of Marketing Science, 48, 422–448.
Banerjee, S. (2019). Geosurveillance, location privacy, and personalization. Journal of Public Policy & Marketing, 38(4), 484–499.
Berger, J. (2014). Word of mouth and interpersonal communication: A review and directions for future research. Journal of Consumer Psychology, 24(4), 586–607.
Bernritter, S. F., Ketelaar, P. E., & Sotgiu, F. (2021). Behaviorally targeted location-based Mobile marketing. Journal of the Academy of Marketing Science, 49(4), 677–702.
Bettman, J. R., & Park, C. W. (1980). Effects of prior knowledge and experience and phase of the choice process on consumer decision processes: A protocol analysis. Journal of Consumer Research, 7(3), 234–248.
Bharadwaj, N., Ballings, M., Naik, P. A., Moore, M., & Arat, M. M. (2021). A new livestream retail analytics framework to assess the sales impact of emotional displays. Journal of Marketing, forthcoming, 86, 27–47.
Blattberg, R. C., & Deighton, J. (1991). Interactive marketing: Exploiting the age of addressability. MIT Sloan Management Review, 33(1), 5–15.
Blattberg, R. C., & Deighton, J. (1996). Manage marketing by the customer equity test. Harvard Business Review, 74(4), 136–144.
Bleier, A., Goldfarb, A., & Tucker, C. E. (2020). Consumer privacy and the future of data-based innovation and marketing. International Journal of Research in Marketing, 37(3), 466–480.
Blut, M., & Wang, C. (2020). Technology readiness: A Meta-analysis of conceptualizations of the construct and its impact on technology usage. Journal of the Academy of Marketing Science, 48(4), 649–669.
Bohn, D. (2021) Privacy and Ads in Chrome Are About to Become Flocing Complicated. (March 30), Available at: https://www.theverge.com/2021/3/30/22358287/privacy-ads-google-chrome-floc-cookies-cookiepocalypse-finger-printing. Accessed January 4, 2022.
Chellappa, R. K., & Sin, R. G. (2005). Personalization versus privacy: An empirical examination of the online Consumer’s dilemma. Information Technology and Management, 6(2), 181–202.
CIO. (2019, July 9). AI Unleashes the Power of Unstructured Data. CIO. https://www.cio.com/article/220347/ai-unleashes-the-power-of-unstructured-data.html. Accessed January 4, 2022.
Clee, M. A., & Wicklund, R. A. (1980). Consumer behavior and psychological reactance. Journal of Consumer Research, 6(4), 389–405.
Cohan, P. (2013, May 9). How Nordstrom Uses WiFi To Spy on Shoppers. Forbes. https://www.forbes.com/sites/petercohan/2013/05/09/how-nordstrom-and-home-depot-use-wifi-to-spy-on-shoppers/. Accessed January 4, 2022.
Confessore, N. (2018, April 4). Cambridge Analytica and Facebook: The Scandal and the Fallout So Far. The New York Times. https://www.nytimes.com/2018/04/04/us/politics/cambridge-analytica-scandal-fallout.html. Accessed December 1, 2021.
Conger, K., Fausset, R., & Kovaleski, S. F. (2019, May 14). San Francisco Bans Facial Recognition Technology. The New York Times. https://www.nytimes.com/2019/05/14/us/facial-recognition-ban-san-francisco.html. Accessed May 1, 2021.
Cook, J. (2013, July 15). Nordstrom ends smartphone surveillance program that tracked in-store behavior of shoppers. GeekWire. https://www.geekwire.com/2013/nordstrom-ends-smartphone-surveillance-program-tracked-instore-behavior-shoppers/. Accessed May 1, 2021.
Copeland, R. (2020, April 3). Google Offers User Location Data to Health Officials Tackling Coronavirus. Wall Street Journal. https://www.wsj.com/articles/google-offers-user-location-data-to-health-officials-tackling-coronavirus-11585893602. Accessed May 1, 2021.
Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42.
Dawar, N. (2018). Marketing in the Age of Alexa. Harvard Business Review, (May–June).
De Bellis, E., & Johar, G. V. (2020). Autonomous shopping systems: Identifying and overcoming barriers to consumer adoption. Journal of Retailing, 96(1), 74–87.
De Haan, E., Kannan, P. K., Verhoef, P. C., & Wiesel, T. (2018). Device switching in online purchasing: Examining the strategic contingencies. Journal of Marketing, 82(5), 1–19.
De Keyser, A., Bart, Y., Gu, X., Liu, S. Q., Robinson, S. G., & Kannan, P. K. (2021). Opportunities and challenges of using biometrics for business: Developing a research agenda. Journal of Business Research, 136, 52–62.
De Montjoye, Y.-A., Radaelli, L., & Kumar Singh, V. (2015). Unique in the shopping mall: On the Reidentifiability of credit card metadata. Science, 347(6221), 536–539.
Dewey, C. (2016, August 19). 98 personal data points that Facebook uses to target ads to you. Washington Post. https://www.washingtonpost.com/news/the-intersect/wp/2016/08/19/98-personal-data-points-that-facebook-uses-to-target-ads-to-you/. Accessed November 4, 2019.
Dinev, T., & Hart, P. (2006). An extended privacy Calculus model for e-commerce transactions. Information Systems Research, 17(1), 61–80.
Du, R. Y., Netzer, O., Schweidel, D. A., & Mitra, D. (2021). Capturing marketing information to fuel growth. Journal of Marketing, 85(1), 163–183.
Ebbes, P., & Netzer, O. (2021). Using social network data to identify and target job seekers. Management Science. https://doi.org/10.1287/mnsc.2021.3995
Elberse, A. (2010). Bye-bye bundles: The unbundling of music in digital channels. Journal of Marketing, 74(3), 107–123.
Electronic Privacy Information Center (2020). Online Tracking and Behavioral Profiling. Available at: https://epic.org/privacy/consumer/online-tracking/. Accessed December 22, 2020.
Fisher, M. L., Gallino, S., & Xu, J. J. (2019). The value of rapid delivery in Omnichannel retailing. Journal of Marketing Research, 56(5), 732–748.
Fong, N. M., Fang, Z., & Luo, X. (2015). Geo-conquesting: Competitive locational targeting of Mobile promotions. Journal of Marketing Research, 52(5), 726–735.
Forrester (2019). The US Digital Marketing Forecast, 2018 To 2023: Diverse Budget Priorities Will Boost Spend to Nearly $150 Billion. (February 7), Available at: https://www.forrester.com/report/The+US+Digital+Marketing+Forecast+2018+To+2023/-/E-RES142558. Accessed December 22, 2020.
Gardete, P. M., & Bart, Y. (2018). Tailored cheap talk: The effects of privacy policy on ad content and market outcomes. Marketing Science, 37(5), 733–752.
Gerhart, A. (2018, July 10). Alexa makes decision-making easier than ever—By making your choices for you. Quartz. https://qz.com/1323884/alexa-makes-decision-making-easier-than-ever-by-making-your-choices-for-you/. Accessed November 4, 2019.
Ghose, A., Li, B., & Liu, S. (2019). Mobile targeting using customer trajectory patterns. Management Science, 65(11), 5027–5049.
Goldfarb, A., & Tucker, C. E. (2011). Online display advertising: Targeting and obtrusiveness. Marketing Science, 30(3), 389–404.
Greenwald, G., MacAskill, E., & Poitras, L. (2013, June 11). Edward Snowden: The whistleblower behind the NSA surveillance revelations. The Guardian. https://www.theguardian.com/world/2013/jun/09/edward-snowden-nsa-whistleblower-surveillance. Accessed November 4, 2019.
Grewal, D., & Roggeveen, A. L. (2020). Understanding retail experiences and customer journey management. Journal of Retailing, 96(1), 3–8.
Grewal, L., & Stephen, A. T. (2019). In Mobile we trust: The effects of Mobile versus nonmobile reviews on consumer purchase intentions. Journal of Marketing Research, 56(5), 791–808.
Grewal, L., Stephen, A. T., & Coleman, N. V. (2019). When posting about products on social media backfires: The negative effects of consumer identity signaling on product interest. Journal of Marketing Research, 56(2), 197–210.
Grewal, D., Gauri, D. K., Das, G., Agarwal, J., & Spence, M. T. (2021). Retailing and Emergent Technologies. Journal of Business Research, 134(September, 198–202.
Grosso, M., Castaldo, S., Li, H. A., & Larivière, B. (2020). What information do shoppers share? The effect of personnel-, retailer-, and country-trust on willingness to share information. Journal of Retailing, 96(4), 524–547.
Hagiu, A., & Wright, J. (2020, January). When Data Creates Competitive Advantage. Harvard Business Review, Available at: https://hbr.org/2020/01/when-data-creates-competitive-advantage. Accessed July 29, 2021.
Hamilton, R., Ferraro, R., Haws, K. L., & Mukhopadhyay, A. (2020). Traveling with companions: The social customer journey. Journal of Marketing, 85(1), 68–92.
Hardy, J., Veinot, T. C., Yan, X., Berrocal, V. J., Clarke, P., Goodspeed, R., Gomez-Lopez, I. N., Romero, D., & Vydiswaran, V. G. V. (2018). User acceptance of location-tracking Technologies in Health Research: Implications for study design and data quality. Journal of Biomedical Informatics, 79, 7–19.
Hildebrand, C., & Schlager, T. (2019). Focusing on others before you shop: Exposure to Facebook promotes conventional product configurations. Journal of the Academy of Marketing Science, 47(2), 291–307.
Hill, K. (2012, February 16). How Target Figured Out A Teen Girl Was Pregnant Before Her Father Did. Forbes. https://www.forbes.com/sites/kashmirhill/2012/02/16/how-target-figured-out-a-teen-girl-was-pregnant-before-her-father-did/. Accessed August 19, 2019.
Hill, K. (2020, January 18). The Secretive Company That Might End Privacy as We Know It. The New York Times. https://www.nytimes.com/2020/01/18/technology/clearview-privacy-facial-recognition.html. Accessed May 1, 2021.
Ho, S., & McLeod, D. (2008). Social-psychological influences on opinion expression in face-to-face and computer-mediated communication. Communication Research, 35(2), 190–207.
Hoffman, D. L., & Novak, T. P. (2017). Consumer and object experience in the internet of things: An assemblage theory approach. Journal of Consumer Research, 44(6), 1178–1204.
Howard, J. A., & Sheth, J. N. (1969). The theory of buyer behavior. John Wiley & Sons.
IDTechEx. (2017, July). Wearable sensors 2018–2028: Technologies, Markets & Players. IDTechEx. https://www.idtechex.com/en/research-report/wearable-sensors-2018-2028-technologies-markets-and-players/555. Accessed November 15, 2019.
Ingram, D. (2021, April 29). How to take advantage of Apple’s new iPhone privacy features. NBC News. https://www.nbcnews.com/tech/tech-news/apple-ios-145-update-know-new-privacy-features-rcna796. Accessed January 4, 2022.
Inman, J. J., & Nikolova, H. (2017). Shopper-facing retail technology: A retailer adoption decision framework incorporating shopper attitudes and privacy concerns. Journal of Retailing, 93(1), 7–28.
Janofsky, A. (2019, October 30). Business Groups Push Back Against Proposed Facial-Recognition Bans. Wall Street Journal. https://www.wsj.com/articles/business-groups-push-back-against-proposed-facial-recognition-bans-11572427801. Accessed May 1, 2021.
Johnson, G. A., Shriver, S. K., & Du, S. (2020). Consumer privacy choice in online advertising: Who opts out and at what cost to industry? Marketing Science, 39(1), 33–51.
Kamleitner, B., & Mitchell, V. (2019). Your data is my data: A framework for addressing interdependent privacy infringements. Journal of Public Policy & Marketing, 38(4), 433–450.
Kang, C. (2013, December 5). Flashlight app kept users in the dark about sharing location data: FTC. Washington Post. https://www.washingtonpost.com/business/technology/flashlight-app-kept-users-in-the-dark-about-sharing-location-data-ftc/2013/12/05/1be26fa6-5dc7-11e3-be07-006c776266ed_story.html. Accessed October 28, 2019.
Kannan, P. K., & Li, H. A. (2017). Digital marketing: A framework, review and research agenda. International Journal of Research in Marketing, 34(1), 22–45.
Kim, T., Barasz, K., & John, L. K. (2019). Why am I seeing this ad? The effect of ad transparency on ad effectiveness. Journal of Consumer Research, 45(5), 906–932.
Kumar, V., & George, M. (2007). Measuring and maximizing customer equity: A critical analysis. Journal of the Academy of Marketing Science, 35(2), 157–171.
Kummer, M., & Schulte, P. (2019). When private information settles the bill: Money and privacy in Google’s market for smartphone applications. Management Science, 65(8), 3470–3494.
Lambillotte, L., Bart, Y., & Poncin, I. (2021). “When Does Information Transparency Reduce Downside of Personalization? Role of Need for Cognition and Perceived Control,” working paper.
Lapowsky, I. (2019, March 17). How Cambridge Analytica Sparked the Great Privacy Awakening. . https://www.wired.com/story/cambridge-analytica-facebook-privacy-awakening/. Accessed October 28, 2019.
Laziuk, E. (2021, May 25). iOS 14 opt-in rate - weekly updates since launch. Flurry. https://www.flurry.com/blog/ios-14-5-opt-in-rate-idfa-app-tracking-transparency-weekly/. Accessed January 4, 2022.
Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69–96.
Leung, E., Paolacci, G., & Puntoni, S. (2018). Man versus machine: Resisting automation in identity-based consumer behavior. Journal of Marketing Research, 55(6), 818–831.
Libai, B., Bart, Y., Gensler, S., Hofacker, C. F., Kaplan, A., Kötterheinrich, K., & Kroll, E. B. (2020). Brave New World? On AI and the Management of Customer Relationships. Journal of Interactive Marketing, 51, 44–56.
Lin, T. (2019). “Valuing Intrinsic and Instrumental Preferences for Privacy,” working paper, Available at https://ssrn.com/abstract=3406412. Accessed December 22, 2020.
Longoni, C., Bonezzi, A., & Morewedge, C. (2019). Resistance to Medical Artificial Intelligence. Journal of Consumer Research, 46(4), 629–650.
Ma, L., Sun, B., & Kekre, S. (2015). The Squeaky Wheel Gets the Grease—An Empirical Analysis of Customer Voice and Firm Intervention on Twitter. Marketing Science, 34(5), 627–645.
Marketing Research Association. (2014, February 6). mra_facial-recognition-mr-applications_2–6-14.pdf. Insights Association. https://www.insightsassociation.org/sites/default/files/misc_files/mra_facial-recognition-mr-applications_2–6-14.pdf. Accessed October 1, 2020.
Martin, K. D., & Murphy, P. E. (2017). The role of data privacy in marketing. Journal of the Academy of Marketing Science, 45(2), 135–155.
Martin, K. D., Kim, J. J., Palmatier, R. W., Steinhoff, L., Stewart, D. W., Walker, B. A., Wang, Y., & Weaven, S. K. (2020). Data privacy in retail. Journal of Retailing, 96(4), 474–489.
Mays, J. C. (2019, July 23). New York City to Consider Banning Sale of Cellphone Location Data. The New York Times. https://www.nytimes.com/2019/07/23/nyregion/cellphone-tracking-location-data.html. Accessed January 4, 2022.
McKinsey & Company. (2017, November 8). Should CPG manufacturers go direct to consumer--and, if so, how? McKinsey & Company. https://www.mckinsey.com/industries/consumer-packaged-goods/our-insights/should-cpg-manufacturers-go-direct-to-consumer-and-if-so-how. Accessed October 1, 2020.
Melumad, S., Inman, J. J., & Pham, M. T. (2019). Selectively emotional: How smartphone use changes user-generated content. Journal of Marketing Research, 56(2), 259–275.
Mizik, N., & Jacobson, R. (2007). Myopic marketing management: Evidence of the phenomenon and its long-term performance consequences in the SEO context. Marketing Science, 26(3), 361–379.
Morey, T., Forbath, T., & Schoop, A. (2015, May), Customer Data: Designing for Transparency and Trust. Harvard Business Review, Available at: https://hbr.org/2015/05/customer-data-designing-for-transparency-and-trust. Accessed July 27, 2021.
Murphy, H. (2021). Can pro-privacy search engines replace Google?. Search Engine Journal, November, Available at https://www.searchenginejournal.com/pro-privacy-searchengines/424201. Accessed January 9, 2022.
Neumann, N., Tucker, C. E., & Whitfield, T. (2019). Frontiers: How effective is third-party consumer profiling? Evidence from field studies. Marketing Science, 38(6), 918–926.
Nguyen, G. (2021). Google Announces its Own Version of App Tracking Transparency. Search Engine Land (June 4), https://searchengineland.com/google-announces-its-own-version-of-app-tracking-transparency-349272.
Nicas, J., & Wakabayashi, D. (2020, April 10). Apple and Google team up to ‘contact trace’ the coronavirus. The New York Times. https://www.nytimes.com/2020/04/10/technology/apple-google-coronavirus-contact-tracing.html. Accessed January 4, 2022.
Nissenbaum, H. (2010). Privacy in context: Technology, policy, and the integrity of social life. Stanford University Press.
Nissenbaum, H. (2011, November). At What Cost?: The Privacy Issues that Must Be Considered in a Digital World. The Futures of Entertainment Conference, MIT Program in Comparative Media Studies.
Novak, T. P., & Hoffman, D. L. (2019). Relationship journeys in the internet of things: A new framework for understanding interactions between consumers and smart objects. Journal of the Academy of Marketing Science, 47(2), 216–237.
Oberoi, P., Patel, C., & Haon, C. (2017). Technology sourcing for website personalization and social media marketing: A study of E-retailing industry. Journal of Business Research, 80(November, 10–23.
Okazaki, S., Eisend, M., Plangger, K., de Ruyter, K., & Grewal, D. (2020). Understanding the Strategic Consequences of Customer Privacy Concerns: A Meta-Analytic Review. Journal of Retailing, 96(4), 458–73.
Oracle (2018, October 22). Oracle Helps Brands Eliminate Customer Blind Spots. Available at: https://www.oracle.com/emea/corporate/pressrelease/oow18-oracle-cx-unity-2018-10-22.html. Accessed December 22, 2020.
Pew Research Center (2013, September 5). Anonymity, privacy, and security online. Pew Research Center: Internet, Science & Tech. Available at: https://www.pewresearch.org/internet/2013/09/05/anonymity-privacy-and-security-online.
Phelps, J. E., D’Souza, G., & Nowak, G. J. (2001). Antecedents and consequences of consumer privacy concerns: An empirical investigation. Journal of Interactive Marketing, 15(4), 2–17.
Plangger, K., & Montecchi, M. (2020). Thinking beyond privacy Calculus: Investigating reactions to customer surveillance. Journal of Interactive Marketing, 50, 32–44.
Plangger, K., & Watson, R. T. (2015). Balancing customer privacy, secrets, and surveillance: Insights and management. Business Horizons, 58(6), 625–633.
Postmes, T., Spears, R., & Lea, M. (1998). Breaching or building social boundaries? SIDE-effects of computer-mediated communication. Communication Research, 25, 689–715.
PricewaterhouseCoopers. (2018). Consumer intelligence series: Prepare for the voice revolution. PwC. https://www.pwc.com/us/en/services/consulting/library/consumer-intelligence-series/voice-assistants.html. Accessed November 15, 2019.
Pridmore, J. (2013). Collaborative surveillance: configuring contemporary marketing practice. In K. Ball & L. Snider (Eds.), In The Surveillance-Industrial Complex: A Political Economy of Surveillance (1st ed., pp. 121–135). New York, NY: Routledge..
Pridmore, J., & Lyon, D. (2011). Marketing as surveillance: Assembling consumers as brands. Inside marketing: Practices, ideologies, devices, 115–36.
Puntoni, S., Walker Reczek, R., Giesler, M., & Botti, S. (2021). Consumers and artificial intelligence: An experiential perspective. Journal of Marketing, 85(1), 131–151.
Rakic, B., & Rakic, M. (2017). Facebook or the book of faces as a database for customer profiles, marketing communications and applications. Economic and Social Development: Book of Proceedings, 48–58.
Ransbotham, S., Lurie, N. H., & Liu, H. (2019). Creation and consumption of Mobile word of mouth: How are Mobile reviews different? Marketing Science, 38(5), 773–792.
Reed, A., Forehand, M. R., Puntoni, S., & Warlop, L. (2012). Identity-based consumer behavior. International Journal of Research in Marketing, 29(4), 310–321.
Reinartz, W., Thomas, J. S., & Kumar, V. (2005). Balancing acquisition and retention resources to maximize customer profitability. Journal of Marketing, 69(1), 63–79.
Riegger, A. S., Klein, J. F., Merfeld, K., & Henkel, S. (2021). Technology-enabled personalization in retail stores: Understanding drivers and barriers. Journal of Business Research, 123, 140–155.
Rust, R. T., Lemon, K. N., & Zeithaml, V. A. (2004). Return on marketing: Using customer equity to focus marketing strategy. Journal of Marketing, 68(1), 109–127.
Schamp, C., Heitmann, M., & Katzenstein, R. (2019). Consideration of ethical attributes along the consumer decision-making journey. Journal of the Academy of Marketing Science, 47(2), 328–348.
Schlogl, L. (2020). Leapfrogging into the Unknown: The Future of Structural Change in the Developing World, Vienna, Austria: United Nations University World Institute for Development Economics Research, Available at: https://doi.org/10.35188/UNU-WIDER/2020/782-8.
Shankar, V., Inman, J. J., Mantrala, M., Kelley, E., & Rizley, R. (2011). Innovations in shopper marketing: Current insights and future research issues. Journal of Retailing, 87, S29–S42.
Shankar, V., Kalyanam, K., Setia, P., Golmohammadi, A., Tirunillai, S., Douglass, T., Hennessey, J., Bull, J., & Waddoups, R. (2021). How technology is changing retail. Journal of Retailing, 97(1), 13–27.
Simonov, A., & Hill, S. (2021). Competitive advertising on brand search: Traffic stealing and click quality. Marketing Science, 40(5), 923–945.
Srinivasan, S., Rutz, O. J., & Pauwels, K. (2016). Paths to and off purchase: Quantifying the impact of traditional marketing and online consumer activity. Journal of the Academy of Marketing Science, 44(4), 440–453.
Stanley, A. (2021, October 31). Apple’s privacy policy cost snap, Facebook, twitter, and YouTube an estimated $9.85 billion in revenue. Gizmodo. https://gizmodo.com/apples-privacy-policy-cost-snap-facebook-twitter-and-1847971994. Accessed January 4, 2022.
Statista. (2022). Number of internet of things (IoT) connected devices worldwide in 2018, 2023, and 2030 (in billions). Statista. https://www.statista.com/statistics/802690/worldwide-connected-devices-by-access-technology/. Accessed January 4, 2022.
Strobel, W. P. (2021). Biometrics, Smartphones, Surveillance Cameras Pose New Obstacles for U.S. Spies. Wall Street Journal (November 27), https://www.wsj.com/articles/biometrics-smartphones-surveillance-cameras-pose-new-obstacles-for-u-s-spies-11638009002. Accessed January 4, 2022.
Suk, M., & Prabhakaran, B. (2014). Real-time Mobile Facial Expression Recognition System – A Case Study. Columbus, OH: IEEE, 132–37.
Tan, Y.-C., Chandukala, S. R., & Reddy, S. K. (2021). Augmented Reality in Retail and Its Impact on Sales. Journal of Marketing, forthcoming, 86, 48–66.
Taylor, C. R. (2004). Consumer privacy and the market for customer information. RAND Journal of Economics, 35(4), 631–650.
Tene, O., & Polonetsky, J. (2014). A theory of creepy: Technology, privacy, and shifting social norms. Yale Journal of Law and Technology, 16(1), 59–102.
Thomaz, F., Salge, C., Karahanna, E., & Hulland, J. (2020). Learning from the dark web: Leveraging conversational agents in the era of hyper-privacy to enhance marketing. Journal of the Academy of Marketing Science, 48(1), 43–63.
Timoshenko, A., & Hauser, J. R. (2019). Identifying customer needs from user-generated content. Marketing Science, 38(1), 1–20.
Todri, V. (2021). Frontiers: The Impact of Ad-Blockers on Online Consumer Behavior. Marketing Science, forthcoming.
Tong, S., Luo, X., & Xu, B. (2020). Personalized Mobile marketing strategies. Journal of the Academy of Marketing Science, 48(1), 64–78.
Tsai, J. Y., Egelman, S., Cranor, L., & Acquisti, A. (2011). The effect of online privacy information on purchasing behavior: An experimental study. Information Systems Research, 22(2), 254–268.
Tucker, C. E. (2014). Social networks, personalized advertising, and privacy controls. Journal of Marketing Research, 51(5), 546–562.
Tugend, A. (2015). “Key to Opting Out of Personalized Ads, Hidden in Plain View,” New York Times (December 21), https://www.nytimes.com/2015/12/21/business/media/key-to-opting-out-of-personalized-ads-hidden-in-plain-view.html. Accessed July 15, 2019.
Temkin, D. (2021, March 3). Charting a course towards a more privacy-first web. Google. https://blog.google/products/ads-commerce/a-more-privacy-first-web/. Accessed 21 January 2022.
Valentino-DeVries, J., Singer, N., Keller, M. H., & Krolik, A. (2018, December 10). Your apps know where you were last night, and They’re not keeping it secret. The New York Times. https://www.nytimes.com/interactive/2018/12/10/business/location-data-privacy-apps.html. Accessed January 4, 2022.
Van Osselaer, S. M., Fuchs, C., Schreier, M., & Puntoni, S. (2020). The power of personal. Journal of Retailing, 96(1), 88–100.
Verhoef, P. C., Lemon, K. N., Parasuraman, A., Roggeveen, A., Tsiros, M., & Schlesinger, L. A. (2009). Customer experience creation: Determinants, dynamics and management strategies. Journal of Retailing, 85(1), 31–41.
Villanova, D., Bodapati, A., Puccinelli, N., Tsiros, M., Goodstein, R., Kushwaha, T., Suri, R., Ho, H., Brandon, R., & Hatfield, C. (2021). Retailer Marketing Communications in the Digital age: Getting the right message to the right shopper at the right time. Journal of Retailing, 97(1), 116–132.
Walker, K. L., Milne, G. R., & Weinberg, B. D. (2019). Optimizing the future of innovative technologies and infinite data. Journal of Public Policy & Marketing, 38(4), 403–413.
Ward, A. F., Duke, K., Gneezy, A., & Bos, M. W. (2017). Brain drain: The mere presence of One’s own smartphone reduces available cognitive capacity. Journal of the Association for Consumer Research, 2(2), 140–154.
Wei, Y., Yildirim, P., van den Bulte, C., & Dellarocas, C. (2016). Credit scoring with social network data. Marketing Science, 35(2), 234–258.
Whittaker, Z. (2019, January 9). Despite promises to stop, US cell carriers are still selling your real-time phone location data. TechCrunch. https://techcrunch.com/2019/01/09/us-cell-carriers-still-selling-your-location-data/. Accessed January 4, 2022.
Wu, J., & Lederer, A. (2009). A Meta-analysis of the role of environment-based voluntariness in information technology acceptance. MIS Quarterly, 33(2), 419–432.
Wu, K.-W., Huang, S. Y., Yen, D. C., & Popova, I. (2012). The effect of online privacy policy on consumer privacy concern and trust. Computers in Human Behavior, 28(3), 889–897.
Xu, H., Luo, X. R., Carroll, J. M., & Rosson, M. B. (2011). The personalization privacy paradox: An exploratory study of decision making process for location-aware marketing. Decision Support Systems, 51(1), 42–52.
Yadav, M. S., & Pavlou, P. A. (2014). Marketing in Computer-Mediated Environments: Research synthesis and new directions. Journal of Marketing, 78(1), 20–40.
Yang, Y., Zhang, K., & Kannan, P. K. (2021). “EXPRESS: Identifying market structure: A deep network representation learning of social engagement,” Journal of Marketing, Available at: https://doi.org/10.1177/00222429211033585.
Zhou, M. (2018, July 20). Venmo transactions are public by default as part of its social strategy. CNET. https://www.cnet.com/tech/services-and-software/venmo-explains-why-transactions-are-public-by-default/. Accessed January 4, 2022.
Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. Profile Books.
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Schweidel, D.A., Bart, Y., Inman, J.J. et al. How consumer digital signals are reshaping the customer journey. J. of the Acad. Mark. Sci. 50, 1257–1276 (2022). https://doi.org/10.1007/s11747-022-00839-w
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DOI: https://doi.org/10.1007/s11747-022-00839-w