Simulation of Weak Signals of Nanotechnology Innovation in Complex System
Authored by Sun Hi Yoo, DongKyu Won
Date Published: 2018
DOI: 10.3390/su10020486
Sponsors:
Korea Institute of Science and Technology Information (KISTI)
Platforms:
NetLogo
Model Documentation:
Other Narrative
Flow charts
Model Code URLs:
Model code not found
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.
Tags
Competition
technological change
Model
Substitution
Local convergence
Technology innovation
Weak signals
Informetrics
Preliminary symptom
Word analysis
Agent-based model simulation