Simulation of Weak Signals of Nanotechnology Innovation in Complex System

Sun Hi Yoo and DongKyu Won
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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

Sustainability, 2018, vol. 10, issue 2, 1-14

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.

Keywords: technology innovation; weak signals; informetrics; preliminary symptom; word analysis; agent-based model simulation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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