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Roadmaps as a Tool for Modeling Complex Systems

Author

Listed:
  • Lyubov Y. Matich

    (National Research University Higher School of Economics)

Abstract

Today roadmaps are becoming commonly used tool for detecting and designing a desired future for companies, states and the international community. The growing popularity of this method puts tasks such as identifying basic roadmapping principles, creation of concepts and determination of the characteristics of the use of roadmaps depending on the objectives as well as restrictions and opportunities specific to the study area on the agenda. However the system approach, e.g. the elements which are recognized to be major for high-quality roadmapping, remain one of the main fields for improving the methodology and practice of their development as limited research was devoted to the detailed analysis of the roadmaps from the view of system approach. System analysis can make the process of roadmap development easier because it identifies six key stages, the implementation of which is necessary for the construction of any roadmap. Two case studies undertaken in the paper demonstrate the implementation of system approach for roadmap creation in the Russian companies and industries

Suggested Citation

  • Lyubov Y. Matich, 2017. "Roadmaps as a Tool for Modeling Complex Systems," HSE Working papers WP BRP 73/STI/2017, National Research University Higher School of Economics.
  • Handle: RePEc:hig:wpaper:73sti2017
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    References listed on IDEAS

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    1. Ronald N. Kostoff, 2001. "The metrics of science and technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(2), pages 353-361, February.
    2. Peat, Maurice & Svec, Jiri & Wang, Jue, 2014. "Reporting bias in incomplete information model," Economics Letters, Elsevier, vol. 123(1), pages 45-49.
    3. Martin, Hilary & Daim, Tugrul U., 2012. "Technology roadmap development process (TRDP) for the service sector: A conceptual framework," Technology in Society, Elsevier, vol. 34(1), pages 94-105.
    4. Hai Lu & Jiaquan Yang & Kari Alanne, 2018. "Energy Quality Management for a Micro Energy Network Integrated with Renewables in a Tourist Area: A Chinese Case Study," Energies, MDPI, vol. 11(4), pages 1-24, April.
    5. Vishnevskiy, Konstantin & Karasev, Oleg & Meissner, Dirk, 2016. "Integrated roadmaps for strategic management and planning," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 153-166.
    6. repec:hum:wpaper:sfb649dp2014-066 is not listed on IDEAS
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    Keywords

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    JEL classification:

    • O21 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Planning Models; Planning Policy
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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