System Dynamics: Digital Absorptive Capacity in Advanced Manufacturing
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Abstract
The objective of this study is to analyze Digital Absorptive Capacity in advanced manufacturing to resolve the productivity paradox under the Complex Systems approach. The research method is quantitative, utilizing System Dynamics and Python simulation to evaluate scenarios over a 60-month horizon. The simulation results suggest that knowledge tends to converge in the long term, while human talent appears to act as a structural constraint on technological investment. The findings identify a temporal asynchrony where inefficient management generates delays of up to 17 months, invalidating the industrial window of opportunity. The originality lies in the mathematical formalization of the asynchrony between organizational learning cycles and technological obsolescence. The limitation of the study is the model assumes that investment remains constant, without considering external financial volatility or stochastic crises in the manufacturing sector.
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