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Data Privacy in Retail

Author

Listed:
  • Martin, Kelly D.
  • Kim, Jisu J.
  • Palmatier, Robert W.
  • Steinhoff, Lena
  • Stewart, David W.
  • Walker, Beth A.
  • Wang, Yonggui
  • Weaven, Scott K.

Abstract

Unprecedented, exponential growth in the amount of consumer data collected by retailers across various customer touchpoints has made safeguarding data privacy a key priority. Data privacy in retail contexts requires convergence among three key stakeholders—consumer, retailer, and regulatory—each of which has unique roles and viewpoints. With a global perspective and a multimethod data collection approach, combining in-depth expert interviews, a large-scale consumer survey across four countries, and global case studies, this research identifies three emergent themes for understanding the convergence of these three stakeholders’ interests: (1) big data as a driver of customer relationship performance, (2) profound impacts of regulation, and (3) privacy protection as a proactive retail strategy. These themes underscore the complex interrelations among consumers, retailers, and regulatory forces. The delineated research opportunities in turn may foster deeper understanding of these stakeholders, their perspectives, and their convergence.

Suggested Citation

  • Martin, Kelly D. & Kim, Jisu J. & Palmatier, Robert W. & Steinhoff, Lena & Stewart, David W. & Walker, Beth A. & Wang, Yonggui & Weaven, Scott K., 2020. "Data Privacy in Retail," Journal of Retailing, Elsevier, vol. 96(4), pages 474-489.
  • Handle: RePEc:eee:jouret:v:96:y:2020:i:4:p:474-489
    DOI: 10.1016/j.jretai.2020.08.003
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    References listed on IDEAS

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    1. Rodrigo Montes & Wilfried Sand-Zantman & Tommaso Valletti, 2019. "The Value of Personal Information in Online Markets with Endogenous Privacy," Management Science, INFORMS, vol. 65(3), pages 1342-1362, March.
    2. Grewal, Dhruv & Roggeveen, Anne L. & Nordfält, Jens, 2017. "The Future of Retailing," Journal of Retailing, Elsevier, vol. 93(1), pages 1-6.
    3. Caroline Lancelot Miltgen & H. Jeff Smith, 2015. "Exploring information privacy regulation, risks, trust, and behavior," Post-Print hal-02566634, HAL.
    4. Kelly D. Martin & Patrick E. Murphy, 2017. "The role of data privacy in marketing," Journal of the Academy of Marketing Science, Springer, vol. 45(2), pages 135-155, March.
    5. Bradlow, Eric T. & Gangwar, Manish & Kopalle, Praveen & Voleti, Sudhir, 2017. "The Role of Big Data and Predictive Analytics in Retailing," Journal of Retailing, Elsevier, vol. 93(1), pages 79-95.
    6. Taylor, Curtis & Wagman, Liad, 2014. "Consumer privacy in oligopolistic markets: Winners, losers, and welfare," International Journal of Industrial Organization, Elsevier, vol. 34(C), pages 80-84.
    7. Florian Hoffmann & Roman Inderst & Marco Ottaviani, 2020. "Persuasion Through Selective Disclosure: Implications for Marketing, Campaigning, and Privacy Regulation," Management Science, INFORMS, vol. 66(11), pages 4958-4979, November.
    8. Alexander Bleier & Maik Eisenbeiss, 2015. "Personalized Online Advertising Effectiveness: The Interplay of What, When, and Where," Marketing Science, INFORMS, vol. 34(5), pages 669-688, September.
    9. David W. Stewart, 2017. "A comment on privacy," Journal of the Academy of Marketing Science, Springer, vol. 45(2), pages 156-159, March.
    10. Inman, J. Jeffrey & Nikolova, Hristina, 2017. "Shopper-Facing Retail Technology: A Retailer Adoption Decision Framework Incorporating Shopper Attitudes and Privacy Concerns," Journal of Retailing, Elsevier, vol. 93(1), pages 7-28.
    11. Aguirre, Elizabeth & Mahr, Dominik & Grewal, Dhruv & de Ruyter, Ko & Wetzels, Martin, 2015. "Unraveling the Personalization Paradox: The Effect of Information Collection and Trust-Building Strategies on Online Advertisement Effectiveness," Journal of Retailing, Elsevier, vol. 91(1), pages 34-49.
    12. Caroline Lancelot Miltgen & H. Jeff Smith, 2015. "Exploring information privacy regulation, risks, trust, and behavior," Post-Print hal-01183703, HAL.
    13. Heng Xu & Hock-Hai Teo & Bernard C. Y. Tan & Ritu Agarwal, 2012. "Research Note ---Effects of Individual Self-Protection, Industry Self-Regulation, and Government Regulation on Privacy Concerns: A Study of Location-Based Services," Information Systems Research, INFORMS, vol. 23(4), pages 1342-1363, December.
    14. Tuck Siong Chung & Michel Wedel & Roland T. Rust, 2016. "Adaptive personalization using social networks," Journal of the Academy of Marketing Science, Springer, vol. 44(1), pages 66-87, January.
    15. Ramon Casadesus-Masanell & Andres Hervas-Drane, 2015. "Competing with Privacy," Management Science, INFORMS, vol. 61(1), pages 229-246, January.
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    6. Steinhoff, Lena & Palmatier, Robert W. & Martin, Kelly D. & Fox, Grace & Henderson, Conor M. & Clair, Julian K. Saint & Yan, Shuai & Lee, Ju-Yeon & Perko, Taylor & Harmeling, Colleen M., 2022. "Commentaries on Relationship Marketing: The Present and Future of Customer Relationships in Services," SMR - Journal of Service Management Research, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 6(1), pages 2-27.
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    15. Patel, Pankaj C. & Oghazi, Pejvak & Arunachalam, S., 2023. "Does consumer privacy act influence firm performance in the retail industry? Evidence from a US state-level law change," Journal of Business Research, Elsevier, vol. 162(C).

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