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Step by step. The benefits of stage-based R&D licensing contracts

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  • Crama, Pascale
  • De Reyck, Bert
  • Degraeve, Zeger

Abstract

We examine how a licensor can optimally design licensing contracts for multi-phase R&D projects when he does not know the licensee’s project valuation, leading to adverse selection, and cannot enforce the licensee’s effort level, resulting in moral hazard. We focus on the effect of the phased nature typical of such projects, and compare single-phase and multi-phase contracts. We determine the optimal values for the upfront payment, milestone payments and royalties, and the optimal timing for outlicensing. Including multiple milestones and accompanying payments can be an effective way of discriminating between licensees holding different valuations, without having to manipulate the royalty rate, which induces licensees to invest less, resulting in lower project values and socially suboptimal solutions. Interestingly, we also find that multiple milestone payments are beneficial even when the licensor is risk-averse, contrary to standard contract theory results, which recommend that only an upfront payment should be used. In terms of licensing timing, we show that the optimal time depends on the licensor’s risk aversion, the characteristics of the licensee and the project value.

Suggested Citation

  • Crama, Pascale & De Reyck, Bert & Degraeve, Zeger, 2013. "Step by step. The benefits of stage-based R&D licensing contracts," European Journal of Operational Research, Elsevier, vol. 224(3), pages 572-582.
  • Handle: RePEc:eee:ejores:v:224:y:2013:i:3:p:572-582
    DOI: 10.1016/j.ejor.2012.09.014
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    Cited by:

    1. James Bergin, 2022. "Patent Licensing, Non‐Practising Entities, and Investment in R&D," Journal of Industrial Economics, Wiley Blackwell, vol. 70(2), pages 396-462, June.
    2. Hong, Xianpei & Govindan, Kannan & Xu, Lei & Du, Peng, 2017. "Quantity and collection decisions in a closed-loop supply chain with technology licensing," European Journal of Operational Research, Elsevier, vol. 256(3), pages 820-829.
    3. Jeon, Haejun, 2019. "Licensing and information disclosure under asymmetric information," European Journal of Operational Research, Elsevier, vol. 276(1), pages 314-330.
    4. Moussawi-Haidar, Lama & Çömez-Dolgan, Nagihan, 2017. "Percentage rent contracts between co-stores," European Journal of Operational Research, Elsevier, vol. 258(3), pages 912-925.
    5. Chen, Jiguang & Hu, Qiying, 2015. "Optimal payment scheme when the supplier’s quality level and cost are unknown," European Journal of Operational Research, Elsevier, vol. 245(3), pages 731-742.
    6. Wu, Cheng-Han, 2018. "Price competition and technology licensing in a dynamic duopoly," European Journal of Operational Research, Elsevier, vol. 267(2), pages 570-584.
    7. Wu, Cheng-Han & Kao, Yi-Jhe, 2018. "Cooperation regarding technology development in a closed-loop supply chain," European Journal of Operational Research, Elsevier, vol. 267(2), pages 523-539.
    8. Jeon, Haejun & Nishihara, Michi, 2018. "Optimal patent policy in the presence of vertical separation," European Journal of Operational Research, Elsevier, vol. 270(2), pages 682-697.
    9. 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.
    10. Li, Qing & Zhang, Huaige & Hong, Xianpei, 2020. "Knowledge structure of technology licensing based on co-keywords network: A review and future directions," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 154-165.
    11. Qiao, Haike & Su, Qin, 2021. "Distribution channel and licensing strategy choice considering consumer online reviews in a closed-loop supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).

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