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Real Options in Technology Licensing

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Author Info

  • Arvids A. Ziedonis

    ()
    (Stephen M. Ross School of Business, University of Michigan, Ann Arbor, Michigan 48109)

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    Abstract

    This paper examines the use of options contracts by firms acquiring rights to commercialize university technologies. By combining information about the sequence of licensing decisions with characteristics of the firms and technologies involved, I explore factors that shape decisions to purchase and exercise option contracts for these technologies. Decisions by firms that considered but did not purchase an option or a license are included in the sample. Consistent with the basic premise of real-options theory, I find that firms are more likely to purchase option contracts for more uncertain technologies. Also in line with theoretical predictions, I find that firms that are better able to evaluate an external technology are less likely to purchase options before licensing. The results also highlight more complex motives for exercising options in technology licensing. On the one hand, firms appear to benefit from their ability to learn about the technology during the option period. On the other hand, firms that are better able to "absorb" the technology during the contract period may have reduced incentives to subsequently license the invention.

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    File URL: http://dx.doi.org/10.1287/mnsc.1070.0705
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    Bibliographic Info

    Article provided by INFORMS in its journal Management Science.

    Volume (Year): 53 (2007)
    Issue (Month): 10 (October)
    Pages: 1618-1633

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    Handle: RePEc:inm:ormnsc:v:53:y:2007:i:10:p:1618-1633

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    Related research

    Keywords: real options; licensing; university-industry linkages; knowledge transfer;

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    Cited by:
    1. Liang, Hueimei & Lee, Kuo-Jung & Huang, Jen-Tsung & Lei, Hsien-Wei, 2013. "The optimal decisions in franchising under profit uncertainty," Economic Modelling, Elsevier, vol. 31(C), pages 128-137.
    2. Cvitanic, Jaksa & Radas, Sonja & Sikic, Hrvoje, 2011. "Co-development ventures: Optimal time of entry and profit-sharing," Journal of Economic Dynamics and Control, Elsevier, vol. 35(10), pages 1710-1730, October.
    3. Estrada, Isabel & de la Fuente, Gabriel & Martín-Cruz, Natalia, 2010. "Technological joint venture formation under the real options approach," Research Policy, Elsevier, vol. 39(9), pages 1185-1197, November.
    4. Yuandi Wang & Zhao Zhou & Jason Li-Ying, 2013. "The impact of licensed-knowledge attributes on the innovation performance of licensee firms: evidence from the Chinese electronic industry," The Journal of Technology Transfer, Springer, vol. 38(5), pages 699-715, October.

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