Simulation Analysis of Dynamic Feedback Correlation Between Advanced Manufacturing Technology (AMT) and Product Innovation Performance

Abstract

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Based on the method of</i> <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">system dynamics, analyzing</i> <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">the causal</i> <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">relationship among variables in the “advanced manufacturing technology (AMT)–product innovation” system, this article constructs the system dynamics model of dynamic evolution between AMT and product innovation and uses Vensim Personal Learing Edition (PLE)</i> <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">for simulation. The simulation analysis provided four major conclusions. First, the impact of AMT on the product innovation performance is characterized by dynamic changes. The initial implementation of AMT exerts a short-term inhibiting effect; however, it provides medium- and long-term benefits that occur 50-plus months after adoption. Second, the enhancement of the single dimension of design, manufacturing, and administrative AMT exerts a positive impact on knowledge absorptive capacity and product innovation performance; however, the impact of design AMT is the most noticeable. Third, the design, manufacturing, and administrative AMTs are complementary, and the product innovation benefit of combining multidimensional AMT is most apparent; the synergistic effect produced by it can markedly enhance the product innovation performance compared with one-dimensional AMT. Finally, prior technical level and organizational learning willingness positively moderate the correlation between AMT and product innovation. However, compared with the prior technical level, organizational learning willingness exerts a more notable moderating effect on the product innovation performance.</i>