IDEAS home Printed from https://ideas.repec.org/a/sae/fbbsrw/v13y2024i5p499-502.html
   My bibliography  Save this article

Algorithms in Digital Marketing: Does Smart Personalization Promote a Privacy Paradox?

Author

Listed:
  • José Ramón Saura

Abstract

No abstract is available for this item.

Suggested Citation

  • José Ramón Saura, 2024. "Algorithms in Digital Marketing: Does Smart Personalization Promote a Privacy Paradox?," FIIB Business Review, , vol. 13(5), pages 499-502, October.
    • Handle: RePEc:sae:fbbsrw:v:13:y:2024:i:5:p:499-502
    DOI: 10.1177/23197145241276898
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/23197145241276898
    Download Restriction: no
    File URL: https://libkey.io/10.1177/23197145241276898?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Y. Dwivedi & E. Ismagilova & L. Hughes & J. Carlson & R. Filieri & J. Jacobson & V. Jain & H. Karjaluoto & H. Kefi & A. S. Krishen & V. Kumar & M. Rahman & R. Raman & P. Rauschnabel & J. Rowley & J. S, 2021. "Setting the future of digital and social media marketing research: Perspectives and research propositions," Post-Print hal-04713688, HAL.
    2. Kannan, P.K. & Li, Hongshuang “Alice”, 2017. "Digital marketing: A framework, review and research agenda," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 22-45.
    3. Biao Gao & Yiming Wang & Huiqin Xie & Yi Hu & Yi Hu, 2023. "Artificial Intelligence in Advertising: Advancements, Challenges, and Ethical Considerations in Targeting, Personalization, Content Creation, and Ad Optimization," SAGE Open, , vol. 13(4), pages 21582440231, November.
    4. Salminen, Joni & Yoganathan, Vignesh & Corporan, Juan & Jansen, Bernard J. & Jung, Soon-Gyo, 2019. "Machine learning approach to auto-tagging online content for content marketing efficiency: A comparative analysis between methods and content type," Journal of Business Research, Elsevier, vol. 101(C), pages 203-217.
    5. 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.
    6. Siliang Tong & Xueming Luo & Bo Xu, 2020. "Personalized mobile marketing strategies," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 64-78, January.
    7. Ma, Liye & Sun, Baohong, 2020. "Machine learning and AI in marketing – Connecting computing power to human insights," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 481-504.
    8. Olson, Eric M. & Olson, Kai M. & Czaplewski, Andrew J. & Key, Thomas Martin, 2021. "Business strategy and the management of digital marketing," Business Horizons, Elsevier, vol. 64(2), pages 285-293.
    9. Kim, Juran & Kang, Seungmook & Lee, Ki Hoon, 2021. "Evolution of digital marketing communication: Bibliometric analysis and network visualization from key articles," Journal of Business Research, Elsevier, vol. 130(C), pages 552-563.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cloarec, Julien, 2020. "The personalization–privacy paradox in the attention economy," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    2. David A. Schweidel & Yakov Bart & J. Jeffrey Inman & Andrew T. Stephen & Barak Libai & Michelle Andrews & Ana Babić Rosario & Inyoung Chae & Zoey Chen & Daniella Kupor & Chiara Longoni & Felipe Thomaz, 2022. "How consumer digital signals are reshaping the customer journey," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1257-1276, November.
    3. Erik Hermann, 2022. "Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective," Journal of Business Ethics, Springer, vol. 179(1), pages 43-61, August.
    4. Ritu Agarwal & Michelle Dugas & Guodong (Gordon) Gao & P. K. Kannan, 2020. "Emerging technologies and analytics for a new era of value-centered marketing in healthcare," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 9-23, January.
    5. Chen, Yanyan & Mandler, Timo & Meyer-Waarden, Lars, 2021. "Three decades of research on loyalty programs: A literature review and future research agenda," Journal of Business Research, Elsevier, vol. 124(C), pages 179-197.
    6. Teck Ming Tan & Saila Saraniemi, 2023. "Trust in blockchain-enabled exchanges: Future directions in blockchain marketing," Journal of the Academy of Marketing Science, Springer, vol. 51(4), pages 914-939, July.
    7. Carlson, Keith & Kopalle, Praveen K. & Riddell, Allen & Rockmore, Daniel & Vana, Prasad, 2023. "Complementing human effort in online reviews: A deep learning approach to automatic content generation and review synthesis," International Journal of Research in Marketing, Elsevier, vol. 40(1), pages 54-74.
    8. Reinartz, Werner & Wiegand, Nico & Imschloss, Monika, 2019. "The impact of digital transformation on the retailing value chain," International Journal of Research in Marketing, Elsevier, vol. 36(3), pages 350-366.
    9. Miikka Blomster & Timo Koivumäki, 2022. "Exploring the resources, competencies, and capabilities needed for successful machine learning projects in digital marketing," Information Systems and e-Business Management, Springer, vol. 20(1), pages 123-169, March.
    10. Vinay Singh & Brijesh Nanavati & Arpan Kumar Kar & Agam Gupta, 2023. "How to Maximize Clicks for Display Advertisement in Digital Marketing? A Reinforcement Learning Approach," Information Systems Frontiers, Springer, vol. 25(4), pages 1621-1638, August.
    11. Lütjens, Henk & Eisenbeiss, Maik & Fiedler, Maximilian & Bijmolt, Tammo, 2022. "Determinants of consumers’ attitudes towards digital advertising – A meta-analytic comparison across time and touchpoints," Journal of Business Research, Elsevier, vol. 153(C), pages 445-466.
    12. Dawn Iacobucci & Maria Petrescu & Anjala Krishen & Michael Bendixen, 2019. "The state of marketing analytics in research and practice," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(3), pages 152-181, September.
    13. Aiello, Gaetano & Donvito, Raffaele & Acuti, Diletta & Grazzini, Laura & Mazzoli, Valentina & Vannucci, Virginia & Viglia, Giampaolo, 2020. "Customers’ Willingness to Disclose Personal Information throughout the Customer Purchase Journey in Retailing: The Role of Perceived Warmth," Journal of Retailing, Elsevier, vol. 96(4), pages 490-506.
    14. Ming-Hui Huang & Roland T. Rust, 2021. "A strategic framework for artificial intelligence in marketing," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 30-50, January.
    15. Vlačić, Božidar & Corbo, Leonardo & Costa e Silva, Susana & Dabić, Marina, 2021. "The evolving role of artificial intelligence in marketing: A review and research agenda," Journal of Business Research, Elsevier, vol. 128(C), pages 187-203.
    16. Imran Bashir Dar & Muhammad Bashir Khan & Abdul Zahid Khan & Bahaudin G. Mujtaba, 2021. "A qualitative analysis of the marketing analytics literature: where would ethical issues and legality rank?," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(3), pages 242-261, September.
    17. Qiwei Han & Carolina Lucas & Emila Aguiar & Patrícia Macedo & Zhenze Wu, 2023. "Towards privacy-preserving digital marketing: an integrated framework for user modeling using deep learning on a data monetization platform," Electronic Commerce Research, Springer, vol. 23(3), pages 1701-1730, September.
    18. Sagarika Mishra & Michael T. Ewing & Holly B. Cooper, 2022. "Artificial intelligence focus and firm performance," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1176-1197, November.
    19. Ngai, Eric W.T. & Wu, Yuanyuan, 2022. "Machine learning in marketing: A literature review, conceptual framework, and research agenda," Journal of Business Research, Elsevier, vol. 145(C), pages 35-48.
    20. Donthu, Naveen & Reinartz, Werner & Kumar, Satish & Pattnaik, Debidutta, 2021. "A retrospective review of the first 35 years of the International Journal of Research in Marketing," International Journal of Research in Marketing, Elsevier, vol. 38(1), pages 232-269.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:fbbsrw:v:13:y:2024:i:5:p:499-502. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.