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Information Elicitation and Influenza Vaccine Production

Author

Listed:
  • Stephen E. Chick

    (INSEAD, Technology and Operations Management Area, 77300 Fontainebleau France)

  • Sameer Hasija

    (INSEAD, Technology and Operations Management Area, 138676 Singapore)

  • Javad Nasiry

    (Hong Kong University of Science and Technology, School of Business and Management, Clear Water Bay, Kowloon, Hong Kong)

Abstract

We explore the procurement of influenza vaccines by a government whose objective is to minimize the expected social costs (including vaccine, vaccine administration, and influenza treatment costs) when a for-profit vaccine supplier has production yield uncertainty, private information about its productivity (adverse selection), and potentially unverifiable production effort (moral hazard). Timeliness is important—costs for both the supplier and the government procurer may increase if part of the vaccine order is delivered after a scheduled delivery date. We theoretically derive the optimal menu of output-based contracts. Next, we present a menu that is optimal within a more restricted set of practically implementable contracts, and numerically show that such a menu leads to near-optimal outcomes. Finally, we present a novel way to eliminate that information rent if the manufacturer’s effort is also verifiable, a counterintuitive result because the manufacturer has private productivity information. This provides an upper bound for the government on how much it should spend to monitor the manufacturer’s effort.

Suggested Citation

  • Stephen E. Chick & Sameer Hasija & Javad Nasiry, 2017. "Information Elicitation and Influenza Vaccine Production," Operations Research, INFORMS, vol. 65(1), pages 75-96, February.
  • Handle: RePEc:inm:oropre:v:65:y:2017:i:1:p:75-96
    DOI: 10.1287/opre.2016.1552
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    References listed on IDEAS

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    Cited by:

    1. Feiyu Guo & Erbao Cao, 2020. "Does Reference Dependence Impact Intervention Mechanisms in Vaccine Markets?," Sustainability, MDPI, vol. 12(16), pages 1-28, August.
    2. Lin, Qi & Zhao, Qiuhong & Lev, Benjamin, 2022. "Influenza vaccine supply chain coordination under uncertain supply and demand," European Journal of Operational Research, Elsevier, vol. 297(3), pages 930-948.
    3. Guo, Feiyu & Cao, Erbao, 2021. "Can reference points explain vaccine hesitancy? A new perspective on their formation and updating," Omega, Elsevier, vol. 99(C).
    4. Westerink-Duijzer, L.E. & Schlicher, L.P.J. & Musegaas, M., 2019. "Fair allocations for cooperation problems in vaccination," Econometric Institute Research Papers EI2019-06, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Xie, Lei & Hou, Pengwen & Han, Hongshuai, 2021. "Implications of government subsidy on the vaccine product R&D when the buyer is risk averse," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    6. Tinglong Dai & Jing-Sheng Song, 2021. "Transforming COVID-19 vaccines into vaccination," Health Care Management Science, Springer, vol. 24(3), pages 455-459, September.
    7. Tinglong Dai & Sridhar Tayur, 2020. "OM Forum—Healthcare Operations Management: A Snapshot of Emerging Research," Manufacturing & Service Operations Management, INFORMS, vol. 22(5), pages 869-887, September.
    8. Lin, Qi & Zhao, Qiuhong & Lev, Benjamin, 2020. "Cold chain transportation decision in the vaccine supply chain," European Journal of Operational Research, Elsevier, vol. 283(1), pages 182-195.
    9. Muckstadt, John A. & Klein, Michael G. & Jackson, Peter L. & Gougelet, Robert M. & Hupert, Nathaniel, 2023. "Efficient and effective large-scale vaccine distribution," International Journal of Production Economics, Elsevier, vol. 262(C).
    10. Alexandar Angelus & Özalp Özer, 2022. "On the large‐scale production of a new vaccine," Production and Operations Management, Production and Operations Management Society, vol. 31(7), pages 3043-3060, July.
    11. Ho‐Yin Mak & Tinglong Dai & Christopher S. Tang, 2022. "Managing two‐dose COVID‐19 vaccine rollouts with limited supply: Operations strategies for distributing time‐sensitive resources," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4424-4442, December.
    12. Duijzer, Lotty Evertje & van Jaarsveld, Willem & Dekker, Rommert, 2018. "Literature review: The vaccine supply chain," European Journal of Operational Research, Elsevier, vol. 268(1), pages 174-192.
    13. Roy Lothan & Noa Gutman & Dan Yamin, 2022. "Country versus pharmaceutical company interests for hepatitis C treatment," Health Care Management Science, Springer, vol. 25(4), pages 725-749, December.
    14. Lotty E. Westerink‐Duijzer & Loe P. J. Schlicher & Marieke Musegaas, 2020. "Core Allocations for Cooperation Problems in Vaccination," Production and Operations Management, Production and Operations Management Society, vol. 29(7), pages 1720-1737, July.
    15. Hu, Hui & Xu, Jiajun & Liu, Mengqi & Lim, Ming K., 2023. "Vaccine supply chain management: An intelligent system utilizing blockchain, IoT and machine learning," Journal of Business Research, Elsevier, vol. 156(C).
    16. Choudhury, Nishat Alam & Ramkumar, M. & Schoenherr, Tobias & Singh, Shalabh, 2023. "The role of operations and supply chain management during epidemics and pandemics: Potential and future research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).

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