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Strategic Communications with Socializing Agents Under Unknown Public Health Threats

Author

Listed:
  • Ailing Xu

    (School of Management, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Zhenxiao Chen

    (Department of Logistics and Maritime Studies, Faculty of Business, The Hong Kong Polytechnic University, Kowloon, Hong Kong)

  • Qiao-Chu He

    (School of Business, Southern University of Science and Technology, Shenzhen 518055, China)

  • Ying-Ju Chen

    (School of Business and Management, The Hong Kong University of Science and Technology, Kowloon, Hong Kong)

Abstract

Problem definition : This paper investigates how governments can design optimal public health policies to inform and guide the public amid uncertain health threats. To capture heterogeneity in social behavior, we introduce a class of socializing agents and examine how the government strategically combines two policy instruments—persuasive communication (messages) and physical or monetary penalties—to incentivize compliance with social restrictions. Methodology/results : We develop a game-theoretic model in which the government commits in advance to both messaging and penalty strategies. The optimal policy exhibits a nonmonotonic structure with respect to the pandemic severity, alternating between the use of messages and penalties. Messages are shown to be most effective when the severity of the pandemic is either mild or moderate to high. Interestingly, socializing agents can indirectly promote compliance among traditional agents because of negative externalities, and the government may reduce penalty levels as pandemic severity increases. Managerial implications : Our findings underscore the strategic value of coordinating messages and penalties as complementary tools in public health policy. When the divergence between individual and governmental incentives is small, costless messages—especially those delivering finely granulated information—can effectively influence public behavior. Notably, we identify a dual role for state-contingent penalties not only in enhancing compliance but also in signaling pandemic severity. Overall, by examining the interplay of multiple policy instruments across different dimensions, our results highlight the importance of behavioral heterogeneity and government credibility in shaping public health policies under competing societal objectives.

Suggested Citation

  • Ailing Xu & Zhenxiao Chen & Qiao-Chu He & Ying-Ju Chen, 2026. "Strategic Communications with Socializing Agents Under Unknown Public Health Threats," Manufacturing & Service Operations Management, INFORMS, vol. 28(1), pages 42-56, January.
  • Handle: RePEc:inm:ormsom:v:28:y:2026:i:1:p:42-56
    DOI: 10.1287/msom.2024.0936
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    References listed on IDEAS

    as
    1. Tinglong Dai & Shubhranshu Singh, 2025. "Overdiagnosis and Undertesting for Infectious Diseases," Marketing Science, INFORMS, vol. 44(2), pages 353-373, March.
    2. Emir Kamenica, 2019. "Bayesian Persuasion and Information Design," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 249-272, August.
    3. Huang, Fengfeng & Guo, Pengfei & Wang, Yulan, 2022. "Optimal group testing strategy for the mass screening of SARS-CoV-2," Omega, Elsevier, vol. 112(C).
    4. Saed Alizamir & Francis de Véricourt & Shouqiang Wang, 2020. "Warning Against Recurring Risks: An Information Design Approach," Management Science, INFORMS, vol. 66(10), pages 4612-4629, October.
    5. Andrey Simonov & Szymon Sacher & Jean-Pierre Dubé & Shirsho Biswas, 2022. "Frontiers: The Persuasive Effect of Fox News: Noncompliance with Social Distancing During the COVID-19 Pandemic," Marketing Science, INFORMS, vol. 41(2), pages 230-242, March.
    6. Yixuan Liu & Xiaofang Wang & Stephen Gilbert & Guoming Lai, 2023. "On the Participation, Competition and Welfare at Customer-Intensive Discretionary Service Platforms," Manufacturing & Service Operations Management, INFORMS, vol. 25(1), pages 218-234, January.
    7. Francis de Véricourt & Huseyin Gurkan & Shouqiang Wang, 2021. "Informing the Public About a Pandemic," Management Science, INFORMS, vol. 67(10), pages 6350-6357, October.
    8. Miao Bai & Ying Cui & Guangwen Kong & Anthony Zhenhuan Zhang, 2024. "No Panic in Pandemic: The Impact of Individual Choice on Public Health Policy," Manufacturing & Service Operations Management, INFORMS, vol. 26(5), pages 1622-1638, September.
    9. Richard C. Larson, 2007. "Simple Models of Influenza Progression Within a Heterogeneous Population," Operations Research, INFORMS, vol. 55(3), pages 399-412, June.
    10. Elliot Lipnowski & Doron Ravid, 2020. "Cheap Talk With Transparent Motives," Econometrica, Econometric Society, vol. 88(4), pages 1631-1660, July.
    11. Elliot Lipnowski & Doron Ravid & Denis Shishkin, 2022. "Persuasion via Weak Institutions," Journal of Political Economy, University of Chicago Press, vol. 130(10), pages 2705-2730.
    12. Hessam Bavafa & Sergei Savin & Christian Terwiesch, 2021. "Customizing Primary Care Delivery Using E‐Visits," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4306-4327, November.
    13. Francis de Véricourt, & Huseyin Gurkan, & Shouqiang Wang,, 2020. "Informing the public about a pandemic," ESMT Research Working Papers ESMT-20-03, ESMT European School of Management and Technology, revised 11 Feb 2021.
    14. John R. Birge & Ozan Candogan & Yiding Feng, 2022. "Controlling Epidemic Spread: Reducing Economic Losses with Targeted Closures," Management Science, INFORMS, vol. 68(5), pages 3175-3195, May.
    15. Zhou, Junjie & Chen, Ying-Ju, 2015. "Key leaders in social networks," Journal of Economic Theory, Elsevier, vol. 157(C), pages 212-235.
    16. Stein, Jeremy C, 1989. "Cheap Talk and the Fed: A Theory of Imprecise Policy Announcements," American Economic Review, American Economic Association, vol. 79(1), pages 32-42, March.
    17. Fouad El Ouardighi & Eugene Khmelnitsky & Suresh P. Sethi, 2022. "Epidemic control with endogenous treatment capability under popular discontent and social fatigue," Production and Operations Management, Production and Operations Management Society, vol. 31(4), pages 1734-1752, April.
    18. Crawford, Vincent P & Sobel, Joel, 1982. "Strategic Information Transmission," Econometrica, Econometric Society, vol. 50(6), pages 1431-1451, November.
    19. Martin S Eichenbaum & Sergio Rebelo & Mathias Trabandt, 2021. "The Macroeconomics of Epidemics [Economic activity and the spread of viral diseases: Evidence from high frequency data]," The Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5149-5187.
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