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Adaptive R&D contract for urgently needed drugs: Lessons from COVID-19 vaccine development

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  • (Ryan) Choi, Ji-Hung
  • Yoon, Jiho
  • Song, Ju Myung

Abstract

This paper analyzes an incentive contract for new vaccine research and development (R&D) under pandemic situations such as COVID-19, considering the R&D contract’s adaptability to the pandemic. We study how the public sector (government) designs the adaptive R&D contract and offers it to pharmaceutical enterprises. An agency-theoretic model is employed to explore the contract whose terms are an upfront grant as a fixed fee and a sales tax credit as an incentive tool, examining how the values of related parameters affect contract term determinations. We found that the adaptability factor derived from urgent policies such as emergency use authorization (EUA) as well as tax credits, can be utilized as practical incentive tools that lead vaccine developers to increase their effort levels for R&D success. We also found that public-private state-emergency contracts may not follow the conventional wisdom. Counterintuitively, dependency on tax credits (incentive part) decrease as the client’s degree of risk averseness increases in the emergency contract.

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  • (Ryan) Choi, Ji-Hung & Yoon, Jiho & Song, Ju Myung, 2023. "Adaptive R&D contract for urgently needed drugs: Lessons from COVID-19 vaccine development," Omega, Elsevier, vol. 114(C).
    • Handle: RePEc:eee:jomega:v:114:y:2023:i:c:s0305048322001347
    DOI: 10.1016/j.omega.2022.102727
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    as
    1. Nicos Savva & Stefan Scholtes, 2014. "Opt-Out Options in New Product Co-development Partnerships," Production and Operations Management, Production and Operations Management Society, vol. 23(8), pages 1370-1386, August.
    2. Yu, Xinning & Lan, Yanfei & Zhao, Ruiqing, 2018. "Cooperation royalty contract design in research and development alliances: Help vs. knowledge-sharing," European Journal of Operational Research, Elsevier, vol. 268(2), pages 740-754.
    3. Wenqiang Xiao & Yi Xu, 2012. "The Impact of Royalty Contract Revision in a Multistage Strategic R&D Alliance," Management Science, INFORMS, vol. 58(12), pages 2251-2271, December.
    4. Ivanov, Dmitry & Dolgui, Alexandre, 2021. "OR-methods for coping with the ripple effect in supply chains during COVID-19 pandemic: Managerial insights and research implications," International Journal of Production Economics, Elsevier, vol. 232(C).
    5. Rozhkov, Maxim & Ivanov, Dmitry & Blackhurst, Jennifer & Nair, Anand, 2022. "Adapting supply chain operations in anticipation of and during the COVID-19 pandemic," Omega, Elsevier, vol. 110(C).
    6. Shantanu Bhattacharya & Vibha Gaba & Sameer Hasija, 2015. "A Comparison of Milestone-Based and Buyout Options Contracts for Coordinating R&D Partnerships," Management Science, INFORMS, vol. 61(5), pages 963-978, May.
    7. Holmstrom, Bengt & Milgrom, Paul, 1987. "Aggregation and Linearity in the Provision of Intertemporal Incentives," Econometrica, Econometric Society, vol. 55(2), pages 303-328, March.
    8. Sim, Jeongeun & Kim, Bosung, 2021. "Sourcing decision in the presence of a complementary component," Omega, Elsevier, vol. 101(C).
    9. Alexandre Dolgui & Dmitry Ivanov & Boris Sokolov, 2020. "Reconfigurable supply chain: the X-network," International Journal of Production Research, Taylor & Francis Journals, vol. 58(13), pages 4138-4163, July.
    10. Pascale Crama & Bert De Reyck & Zeger Degraeve, 2008. "Milestone Payments or Royalties? Contract Design for R&D Licensing," Operations Research, INFORMS, vol. 56(6), pages 1539-1552, December.
    11. Du, Xianjin & Zhan, Huimin & Zhu, Xiaoxuan & He, Xiuli, 2021. "The upstream innovation with an overconfident manufacturer in a supply chain," Omega, Elsevier, vol. 105(C).
    12. Sawik, Tadeusz, 2021. "On the risk-averse selection of resilient multi-tier supply portfolio," Omega, Elsevier, vol. 101(C).
    13. Huang, Weixiang & Zhu, Han, 2021. "Performance evaluation and improvement for ZEV credit regulation in a competitive environment," Omega, Elsevier, vol. 102(C).
    14. Erica L. Plambeck & Terry A. Taylor, 2016. "Supplier Evasion of a Buyer’s Audit: Implications for Motivating Supplier Social and Environmental Responsibility," Manufacturing & Service Operations Management, INFORMS, vol. 18(2), pages 184-197, May.
    15. Niyazi Taneri & Arnoud De Meyer, 2017. "Contract Theory: Impact on Biopharmaceutical Alliance Structure and Performance," Manufacturing & Service Operations Management, INFORMS, vol. 19(3), pages 453-471, July.
    16. Ivanov, Dmitry, 2020. "Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    17. Ran Kivetz & Oleg Urminsky & Yuhuang Zheng, 2006. "The Goal-Gradient Hypothesis Resurrected: Purchase Acceleration, Illusionary Goal Progress, and Customer Retention," Natural Field Experiments 00658, The Field Experiments Website.
    18. Bergmann, Rouven & Friedl, Gunther, 2008. "Controlling innovative projects with moral hazard and asymmetric information," Research Policy, Elsevier, vol. 37(9), pages 1504-1514, October.
    19. Rajiv Lal & V. Srinivasan, 1993. "Compensation Plans for Single- and Multi-Product Salesforces: An Application of the Holmstrom-Milgrom Model," Management Science, INFORMS, vol. 39(7), pages 777-793, July.
    20. Song, Jian & Chutani, Anshuman & Dolgui, Alexandre & Liang, Liang, 2021. "Dynamic innovation and pricing decisions in a supply-Chain," Omega, Elsevier, vol. 103(C).
    21. Yu, Xinning & Lan, Yanfei & Zhao, Ruiqing, 2021. "Strategic green technology innovation in a two-stage alliance: Vertical collaboration or co-development?," Omega, Elsevier, vol. 98(C).
    22. Xiulan Wang & Yanfei Lan & Jiao Wang, 2014. "An Uncertain Wage Contract Model with Adverse Selection and Moral Hazard," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-9, March.
    23. Lawrence V. Snyder & Zümbül Atan & Peng Peng & Ying Rong & Amanda J. Schmitt & Burcu Sinsoysal, 2016. "OR/MS models for supply chain disruptions: a review," IISE Transactions, Taylor & Francis Journals, vol. 48(2), pages 89-109, February.
    24. Dmitry Ivanov & Alexandre Dolgui, 2020. "Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak," International Journal of Production Research, Taylor & Francis Journals, vol. 58(10), pages 2904-2915, May.
    25. Sanjiv Erat & Stylianos Kavadias, 2006. "Introduction of New Technologies to Competing Industrial Customers," Management Science, INFORMS, vol. 52(11), pages 1675-1688, November.
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