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Innovation management based concidering advertising and complementarity of public and private levels of technology
[Управление Инновациями С Учетом Рекламы И Комплементарности Общественного И Частного Уровней Технологий]

Author

Listed:
  • Levin, Mark (Левин, Марк)

    (NRU HSE, Russian Presidential Academy of National Economy and Public Administration (RANEPA))

  • Matrosova, Kseniya (Матросова, Ксения)

    (NRU HSE, Russian Presidential Academy of National Economy and Public Administration (RANEPA))

Abstract

The article consists of three sections, the first of which is a review of studies and analysis of the problems of diffusion of innovations, tools used in the economy of innovation. The second section is devoted to the problems of diffusion of innovations in the concept of Kelvin Lancaster in which innovations are considered primarily as a change of quality (attributes) of goods. The last section is offered, and by the methods of simulation analysis investigated the original model of control of diffusion processes.

Suggested Citation

  • Levin, Mark (Левин, Марк) & Matrosova, Kseniya (Матросова, Ксения), 2015. "Innovation management based concidering advertising and complementarity of public and private levels of technology [Управление Инновациями С Учетом Рекламы И Комплементарности Общественного И Частн," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 6, pages 109-132.
    • Handle: RePEc:rnp:ecopol:ep1567
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    References listed on IDEAS

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    More about this item

    Keywords

    the diffusion of innovation; attributes; simulation;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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