IDEAS home Printed from https://ideas.repec.org/a/wly/mgtdec/v44y2023i4p2424-2437.html
   My bibliography  Save this article

Advertising strategies of competing firms considering consumer privacy concerns

Author

Listed:
  • Yue Shen
  • Weijun Zhong
  • Shue Mei

Abstract

Targeted advertising based on consumers' purchase history is the most prevalent choice for firms; however, its effectiveness is affected by an increase in consumer privacy concerns. We established a two‐period game model to analyze firms' equilibrium advertising strategies, pricing strategies, and profits when a segment of consumers is unwilling to provide their purchase information owing to privacy concerns. Based on the equilibrium results, some valuable managerial insights are suggested for competing firms. Firms should consider the proportion of privacy‐sensitive consumers and advertising costs when developing advertising strategies. Targeted advertising is not an optimal choice invariably.

Suggested Citation

  • Yue Shen & Weijun Zhong & Shue Mei, 2023. "Advertising strategies of competing firms considering consumer privacy concerns," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2424-2437, June.
    • Handle: RePEc:wly:mgtdec:v:44:y:2023:i:4:p:2424-2437
    DOI: 10.1002/mde.3826
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/mde.3826
    Download Restriction: no
    File URL: https://libkey.io/10.1002/mde.3826?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. 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. Henk Kox & Bas Straathof & Gijsbert Zwart, 2017. "Targeted advertising, platform competition, and privacy," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 26(3), pages 557-570, September.
    3. Chen, Yuxin & Zhang, Z. John, 2009. "Dynamic targeted pricing with strategic consumers," International Journal of Industrial Organization, Elsevier, vol. 27(1), pages 43-50, January.
    4. Varian, Hal R, 1980. "A Model of Sales," American Economic Review, American Economic Association, vol. 70(4), pages 651-659, September.
    5. Qiaowei Shen & J. Miguel Villas-Boas, 2018. "Behavior-Based Advertising," Management Science, INFORMS, vol. 64(5), pages 2047-2064, May.
    6. Lola Esteban & José Hernández, 2014. "Endogenous direct advertising and price competition," Journal of Economics, Springer, vol. 112(3), pages 225-251, July.
    7. Rosa Branca Esteves, 2009. "Customer Poaching And Advertising," Journal of Industrial Economics, Wiley Blackwell, vol. 57(1), pages 112-146, March.
    8. Garella, Paolo G. & Laussel, Didier & Resende, Joana, 2021. "Behavior based price personalization under vertical product differentiation," International Journal of Industrial Organization, Elsevier, vol. 76(C).
    9. repec:ebl:ecbull:v:12:y:2007:i:10:p:1-12 is not listed on IDEAS
    10. Ganesh Iyer & David Soberman & J. Miguel Villas-Boas, 2005. "The Targeting of Advertising," Marketing Science, INFORMS, vol. 24(3), pages 461-476, May.
    11. Esteves, Rosa-Branca & Resende, Joana, 2019. "Personalized pricing and advertising: Who are the winners?," International Journal of Industrial Organization, Elsevier, vol. 63(C), pages 239-282.
    12. Shota Ichihashi, 2020. "Online Privacy and Information Disclosure by Consumers," American Economic Review, American Economic Association, vol. 110(2), pages 569-595, February.
    13. Narasimhan, Chakravarthi, 1988. "Competitive Promotional Strategies," The Journal of Business, University of Chicago Press, vol. 61(4), pages 427-449, October.
    14. Naresh K. Malhotra & Sung S. Kim & James Agarwal, 2004. "Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model," Information Systems Research, INFORMS, vol. 15(4), pages 336-355, December.
    15. Nada Ben Elhadj-Ben Brahim & Rim Lahmandi-Ayed & Didier Laussel, 2014. "Is Targeted Advertising always Beneficial?," World Scientific Book Chapters, in: Kaddour Hadri & William Mikhail (ed.), Econometric Methods and Their Applications in Finance, Macro and Related Fields, chapter 20, pages 551-585, World Scientific Publishing Co. Pte. Ltd..
    16. Yuxin Chen & Chakravarthi Narasimhan & Z. John Zhang, 2001. "Individual Marketing with Imperfect Targetability," Marketing Science, INFORMS, vol. 20(1), pages 23-41, November.
    17. Lola Esteban & José M. Hernández, 2017. "Perfect versus imperfect direct advertising, and market performance," Journal of Economics, Springer, vol. 122(1), pages 1-27, September.
    18. Esther Gal-Or & Ronen Gal-Or & Nabita Penmetsa, 2018. "The Role of User Privacy Concerns in Shaping Competition Among Platforms," Information Systems Research, INFORMS, vol. 29(3), pages 698-722, September.
    19. Vincent Conitzer & Curtis R. Taylor & Liad Wagman, 2012. "Hide and Seek: Costly Consumer Privacy in a Market with Repeat Purchases," Marketing Science, INFORMS, vol. 31(2), pages 277-292, March.
    20. Il-Horn Hann & Kai-Lung Hui & Sang-Yong T. Lee & Ivan P. L. Png, 2008. "Consumer Privacy and Marketing Avoidance: A Static Model," Management Science, INFORMS, vol. 54(6), pages 1094-1103, June.
    21. Stahl II Dale O., 1994. "Oligopolistic Pricing and Advertising," Journal of Economic Theory, Elsevier, vol. 64(1), pages 162-177, October.
    22. Lola Esteban & Jose M. Hernandez, 2007. "Strategic Targeted Advertising and Market Fragmentation," Economics Bulletin, AccessEcon, vol. 12(10), pages 1-12.
    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. Zhang, Jianqiang & He, Xiuli, 2019. "Targeted advertising by asymmetric firms," Omega, Elsevier, vol. 89(C), pages 136-150.
    2. Flavio Pino, 2022. "The microeconomics of data – a survey," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(3), pages 635-665, September.
    3. Rosa-Branca Esteves & Joana Resende, 2016. "Competitive Targeted Advertising with Price Discrimination," Marketing Science, INFORMS, vol. 35(4), pages 576-587, July.
    4. De Nijs, Romain, 2017. "Behavior-based price discrimination and customer information sharing," International Journal of Industrial Organization, Elsevier, vol. 50(C), pages 319-334.
    5. Zhao Jiang & Wu Dan & Liu Jie, 2020. "Distinct role of targeting precision of Internet-based targeted advertising in duopolistic e-business firms’ heterogeneous consumers market," Electronic Commerce Research, Springer, vol. 20(2), pages 453-474, June.
    6. Bernard Caillaud & Romain De Nijs, 2014. "Strategic Loyalty Reward in Dynamic Price Discrimination," Marketing Science, INFORMS, vol. 33(5), pages 725-742, September.
    7. Jianqiang Zhang & Weijun Zhong & Shue Mei, 2012. "Competitive effects of informative advertising in distribution channels," Marketing Letters, Springer, vol. 23(3), pages 561-584, September.
    8. Zhao Jiang & Dan Wu, 2022. "Targeting Precision in Imperfect Targeted Advertising: Implications for the Regulation of Market Structure and Efficiency," SAGE Open, , vol. 12(1), pages 21582440221, March.
    9. Zhang, Jianqiang & Liang, Qi & Huang, Jian, 2016. "Forward advertising: A competitive analysis of new product preannouncement," Information Economics and Policy, Elsevier, vol. 37(C), pages 3-12.
    10. Esteves, Rosa-Branca & Resende, Joana, 2019. "Personalized pricing and advertising: Who are the winners?," International Journal of Industrial Organization, Elsevier, vol. 63(C), pages 239-282.
    11. Li, Changying & Li, Youping & Zhang, Jianhu, 2023. "Targeted advertising with R&D rivalry," Mathematical Social Sciences, Elsevier, vol. 124(C), pages 24-34.
    12. Romain de Nijs, 2015. "Behavior-based price discrimination and customer information sharing," PSE Working Papers hal-01226250, HAL.
    13. Lola Esteban & José Hernández, 2014. "Endogenous direct advertising and price competition," Journal of Economics, Springer, vol. 112(3), pages 225-251, July.
    14. Esteves, Rosa-Branca, 2010. "Pricing with customer recognition," International Journal of Industrial Organization, Elsevier, vol. 28(6), pages 669-681, November.
    15. Rosa Brana Esteves & Joana Resende, 2017. "Personalized Pricing with Targeted Advertising: Who are the Winners?," NIPE Working Papers 02/2017, NIPE - Universidade do Minho.
    16. Romain de Nijs, 2015. "Behavior-based price discrimination and customer information sharing," Working Papers hal-01226250, HAL.
    17. Rosa-Branca Esteves, 2021. "Can personalized pricing be a winning strategy in oligopolistic markets with heterogeneous demand customers? Yes, it can," NIPE Working Papers 08/2021, NIPE - Universidade do Minho.
    18. Wang, Wei & Li, Gang & Fung, Richard Y.K. & Cheng, T.C.E., 2019. "Mobile Advertising and Traffic Conversion: The Effects of Front Traffic and Spatial Competition," Journal of Interactive Marketing, Elsevier, vol. 47(C), pages 84-101.
    19. Lola Esteban & José Hernández, 2011. "Specialized advertising and price competition in vertically differentiated markets," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 2(2), pages 255-282, June.
    20. Esteves, Rosa-Branca & Cerqueira, Sofia, 2017. "Behavior-based pricing under imperfectly informed consumers," Information Economics and Policy, Elsevier, vol. 40(C), pages 60-70.

    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:wly:mgtdec:v:44:y:2023:i:4:p:2424-2437. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/7976 .

    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.