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A Bayesian approach to investment in innovation projects with the presence of fake innovators.
Gurtuev, Alim; Derkach, Elena; Makhosheva, Salima; Ivanov, Zaur.
Afiliación
  • Gurtuev A; Kabardino-Balkarian Scientific Center of Russian Academy of Sciences, Institute for Computer Science and Problems of Regional Management, 37a I.Armand st., Nalchik, Russia.
  • Derkach E; Kabardino-Balkarian Scientific Center of Russian Academy of Sciences, Institute for Computer Science and Problems of Regional Management, 37a I.Armand st., Nalchik, Russia.
  • Makhosheva S; Kabardino-Balkarian Scientific Center of Russian Academy of Sciences, Institute for Computer Science and Problems of Regional Management, 37a I.Armand st., Nalchik, Russia.
  • Ivanov Z; Kabardino-Balkarian Scientific Center of Russian Academy of Sciences, Institute for Computer Science and Problems of Regional Management, 37a I.Armand st., Nalchik, Russia.
Heliyon ; 6(11): e05603, 2020 Nov.
Article en En | MEDLINE | ID: mdl-33294719
ABSTRACT
The paper proposes a game-theoretic model of interaction between investors and innovators, taking into account the existence of so-called "fake" innovators offering knowingly unprofitable projects. The model is a Bayesian non-cooperative, repetitive game with recalculated payments and partly unobservable ex interim player types. It allows quantifying the parameters of the strategy for all player types to find equilibrium solutions. The model describes rational modes for screening "fake" innovators based on adjusting players' probabilistic estimates.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Heliyon Año: 2020 Tipo del documento: Article País de afiliación: Rusia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Heliyon Año: 2020 Tipo del documento: Article País de afiliación: Rusia