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Cyber(in)security and Interoperability in Digital Services

Author

Listed:
  • Stefano Comino

    (University of Udine, Italy)

  • Alessandro Fedele

    (Free University of Bozen-Bolzano, Italy)

  • Fabio Manenti

    (University of Padova, Italy)

Abstract

This paper investigates the interplay between interoperability and the incentives to invest in cybersecurity in digital markets. We develop a two-sided symmetric duopoly model in which cyberattacks create a congestion-like externality, and interoperability amplifies hackers’ incentives to target connected platforms. We show that interoperability affects cybersecurity investment through multiple channels, potentially producing a non-linear relationship: low interoperability promotes risk-mitigation efforts, whereas high interoperability may discourage investment due to a public good effect. We then compare private and social incentives for interoperability, identifying potential sources of misalignment. Finally, we extend the baseline model to account for additional factors shaping the desirability of interoperability, including platforms’ business models, users’ awareness of cyber risk, market expansion effects, and asymmetries in user bases.

Suggested Citation

  • Stefano Comino & Alessandro Fedele & Fabio Manenti, 2025. "Cyber(in)security and Interoperability in Digital Services," BEMPS - Bozen Economics & Management Paper Series BEMPS116, Faculty of Economics and Management at the Free University of Bozen.
  • Handle: RePEc:bzn:wpaper:bemps116
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    References listed on IDEAS

    as
    1. Jacques Crémer & Patrick Rey & Jean Tirole, 2000. "Connectivity in the Commercial Internet," Journal of Industrial Economics, Wiley Blackwell, vol. 48(4), pages 433-472, December.
    2. Farrell, Joseph & Saloner, Garth, 1986. "Installed Base and Compatibility: Innovation, Product Preannouncements, and Predation," American Economic Review, American Economic Association, vol. 76(5), pages 940-955, December.
    3. Dan Geer & Eric Jardine & Eireann Leverett, 2020. "On market concentration and cybersecurity risk," Journal of Cyber Policy, Taylor & Francis Journals, vol. 5(1), pages 9-29, July.
    4. Alessandro Fedele & Cristian Roner, 2022. "Dangerous games: A literature review on cybersecurity investments," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 157-187, February.
    5. André De Palma & Luc Leruth, 1989. "Congestion and Game in Capacity: a Duopoly Analysis in the Presence of Network Externalities," Annals of Economics and Statistics, GENES, issue 15-16, pages 389-407.
    6. repec:adr:anecst:y:1989:i:15-16:p:17 is not listed on IDEAS
    7. Matsumura, Toshihiro & Matsushima, Noriaki, 2007. "Congestion-reducing investments and economic welfare in a Hotelling model," Economics Letters, Elsevier, vol. 96(2), pages 161-167, August.
    8. Terrence August & Marius Florin Niculescu & Hyoduk Shin, 2014. "Cloud Implications on Software Network Structure and Security Risks," Information Systems Research, INFORMS, vol. 25(3), pages 489-510, September.
    9. Wing Man Wynne Lam & Jacob Seifert, 2023. "Regulating Data Privacy and Cybersecurity," Journal of Industrial Economics, Wiley Blackwell, vol. 71(1), pages 143-175, March.
    10. Katz, Michael L & Shapiro, Carl, 1985. "Network Externalities, Competition, and Compatibility," American Economic Review, American Economic Association, vol. 75(3), pages 424-440, June.
    11. De Borger, Bruno & Van Dender, Kurt, 2006. "Prices, capacities and service levels in a congestible Bertrand duopoly," Journal of Urban Economics, Elsevier, vol. 60(2), pages 264-283, September.
    12. Liao, Chun-Hsiung & Chen, Chun-Wei, 2014. "Network externality and incentive to invest in network security," Economic Modelling, Elsevier, vol. 36(C), pages 398-404.
    13. repec:bla:jindec:v:48:y:2000:i:4:p:433-72 is not listed on IDEAS
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    Keywords

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    JEL classification:

    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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