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Technology Foresight and Sustainable Innovation Development in the Complex Dynamical Systems View

Author

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  • Klaus Mainzer

    (Technical University of Munich (Germany)
    Eberhard Karls University Tubingen (Germany)
    European Academy of Sciences and Arts (Austria))

Abstract

Information and communication technologies (ICT), which are transforming most areas, develop non-linearly. Failure to take into account the nonlinear principles of complex dynamic systems hinders the development of balanced innovation strategies. Companies and governments lose the ability to effectively respond to “grand challenges”. The linear approach does not allow for covering a wide range of critical areas simultaneously in the scope of Foresight projects, it prevents one from applying an interdisciplinary approach to developing innovation strategies, correcting risk assessments, and making informed decisions. This paper proposes a solution: management based on “cyber-physical systems” (CPS) built on dynamic complexity and nonlinearity principles. Such systems not only integrate computing and physical action but are embedded in the everyday environment. They are more than the sum of multiple intelligent computing devices. CPS transform into collective social systems, integrate information, energy, and material flows, and adapt to physical processes. Cyber-physical systems can offer a sustainable information infrastructure which serves as a prerequisite for building up the innovation potential of a company, region, or country. They make it possible to analyze all stages of an innovation project from the technical and organizational points of view simultaneously, cover all possible social consequences and challenges, and identify unexpected promising developments. CPS have a decentralized structure which allows one to solve complex problems and manage large and complex structures in real time, such as an energy grid, transport, smart city, healthcare, and so on.

Suggested Citation

  • Klaus Mainzer, 2020. "Technology Foresight and Sustainable Innovation Development in the Complex Dynamical Systems View," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 14(4), pages 10-19.
  • Handle: RePEc:hig:fsight:v:14:y:2020:i:4:p:10-19
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    File URL: https://foresight-journal.hse.ru/data/2021/01/17/1358263958/1-Mainzer-10-19.pdf
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    References listed on IDEAS

    as
    1. Roth, Steffen (ed.), 2015. "Non-technological and non-economic innovations: Contributions to a theory of robust innovation," EconStor Books, ZBW - Leibniz Information Centre for Economics, number 110468, December.
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    Cited by:

    1. Anatoliy Alabugin & Konstantin Osintsev & Sergei Aliukov & Zlata Almetova & Yaroslav Bolkov, 2023. "Mathematical Foundations for Modeling a Zero-Carbon Electric Power System in Terms of Sustainability," Mathematics, MDPI, vol. 11(9), pages 1-24, May.

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    More about this item

    Keywords

    socio-technical systems; innovation strategies; foresight; complex dynamic systems; inter-disciplinary approach; management of complex structures; cyber-physical systems;
    All these keywords.

    JEL classification:

    • O21 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Planning Models; Planning Policy
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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