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Simulation of Weak Signals of Nanotechnology Innovation in Complex System

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  • Sun Hi Yoo

    (Seoul Branch Office, Korea Institute of Science and Technology Information (KISTI), Seoul 02456, Korea)

  • DongKyu Won

    (Seoul Branch Office, Korea Institute of Science and Technology Information (KISTI), Seoul 02456, Korea)

Abstract

It is especially indispensable for new businesses or industries to predict the innovation of new technologies. This requires an understanding of how the complex process of innovation, which is accomplished through more efficient products, processes, services, technologies, or ideas, is adopted and diffused in the market, government, and society. Furthermore, detecting “weak signals” (signs) of change in science and technology (S&T) is also important to foretell events associated with innovations in technology. Thus, we explore the dynamic behavior of weak signals of a specific technological innovation using the agent-based simulating tool NetLogo. This study provides a deeper understanding of the early stages of complex technology innovation, and the models are capable of analyzing initial complex interaction structures between components of technologies and between agents engaged in collective invention.

Suggested Citation

  • Sun Hi Yoo & DongKyu Won, 2018. "Simulation of Weak Signals of Nanotechnology Innovation in Complex System," Sustainability, MDPI, vol. 10(2), pages 1-14, February.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:2:p:486-:d:131508
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    2. JinHyo Joseph Yun & Kwangho Jung & Tan Yigitcanlar, 2018. "Open Innovation of James Watt and Steve Jobs: Insights for Sustainability of Economic Growth," Sustainability, MDPI, vol. 10(5), pages 1-16, May.

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