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Pricing of the License Agreements: Improvement of the Methodology on the Basis of the Game Approach

In: Consumer Behavior, Organizational Strategy and Financial Economics

Author

Listed:
  • Dmitriy G. Rodionov

    (Peter the Great St. Petersburg Polytechnic University)

  • Iuliia V. Boiko

    (Peter the Great St. Petersburg Polytechnic University)

  • Olga S. Nadezhina

    (Peter the Great St. Petersburg Polytechnic University)

Abstract

Dealing with practical issues concerning pricing is a topical problem of innovation commercialization and is related to controversial approaches of experts to evaluation of profits or losses when using intellectual property items and establishing “fair” amounts of payoffs under license agreements. Based on this approach, the authors created the methodology of pricing of the license agreements. In the result, authors can conclude that the game approach is developed and reviewed statistical methods and made possible to take in touch factors which are not represented explicitly, such as the preferences of constituent entities of the transaction. Obtaining a coherent assessment under conditions of incomplete and insufficiently accurate information makes it possible to justify the formation of a value chain in the process of commercialization of innovation and to assess the effectiveness of the strategy.

Suggested Citation

  • Dmitriy G. Rodionov & Iuliia V. Boiko & Olga S. Nadezhina, 2018. "Pricing of the License Agreements: Improvement of the Methodology on the Basis of the Game Approach," Eurasian Studies in Business and Economics, in: Mehmet Huseyin Bilgin & Hakan Danis & Ender Demir & Ugur Can (ed.), Consumer Behavior, Organizational Strategy and Financial Economics, pages 241-252, Springer.
    • Handle: RePEc:spr:eurchp:978-3-319-76288-3_18
    DOI: 10.1007/978-3-319-76288-3_18
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    Cited by:

    1. Andrey Zaytsev & Ekaterina Mihel & Nikolay Dmitriev & Dmitry Alferyev & Ungvari Laszlo, 2024. "Optimization of Interaction with Counterparties: Selection Game Algorithm under Uncertainty," Mathematics, MDPI, vol. 12(13), pages 1-27, July.

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