4.5 Article

System Dynamics Modeling of Innovation Ecosystem With Two Cases of Space Instruments

Journal

IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
Volume 70, Issue 7, Pages 2394-2403

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TEM.2020.3018782

Keywords

Innovation collaboration; innovation ecosystem; space instruments; system dynamics modeling

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This article develops a system dynamics model for innovation ecosystems in the high-tech industry, with a focus on the interactions between high-tech enterprises, the government, and universities. It introduces two high-tech instruments developed by Hong Kong Polytechnic University in collaboration with international space agencies and uses them as examples to study innovation behaviors. The article also proposes a three parties systems dynamics model to analyze stakeholders' interactions in high-technology-oriented innovation ecosystems. The effectiveness of this approach is demonstrated through theoretical, computational, and simulation studies, showing its applicability in large-scale and complex space projects.
This article develops a system dynamics model for innovation ecosystems in the high-tech industry. The model emphasizes the interactions between high-tech enterprises, the government, and universities in the innovation process. In particular, we use two high-tech instruments, the Mars Rock Corer and the Soil Preparation System, in the aerospace innovations developed by Hong Kong Polytechnic University. These instruments are a byproduct of collaborations with the European Space Agency, Russian Space Agency, and China Space Agency. They span decades of space missions to the moon and Mars. Furthermore, we propose a three parities systems dynamics model to study innovation behaviors. This model can be used to study and analyze the stakeholders' interactions in high-technology-oriented innovation ecosystems. Theoretical, computational, and simulation studies are also conducted to understand and evaluate the evolution of the ecosystem. The results demonstrate the feasibility and effectiveness of this approach, which can be applied in on a large scale and in complex space projects.

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