PID Simulation Model for Dynamic Strategy Execution Systems Based on the SER-M Framework

This study seeks to strengthen the synergy between technology and management by aligning technical competencies with strategic managerial insights, thereby enhancing the effectiveness of organizational execution. By introducing a complementary and integrative framework, the research offers a novel paradigm and methodological approach designed to reinforce the strategic execution capabilities of organizations. To this end, this paper proposes an integrated strategic framework based on the Ser-M paradigm-comprising Subject, Environment, Resource, and Mechanism-as a dynamic, adaptive model tailored to the complexities of rapidly evolving business environments. By embedding the fundamental principles of Proportional–Integral–Derivative (PID) control theory from process automation, this study quantitatively models the dynamic feedback interactions among the Ser-M components and theoretically validates the framework’s capacity for real-time strategic responsiveness and adaptive decision-making. The strategic system developed in this study was validated through system-level simulations, which confirmed its applicability to real-time business decision-making processes driven by complex, multidimensional data analysis. Furthermore, Python-based visualization and analytics tools were integrated to improve the interpretability and operationalizability of strategic scenarios, thereby demonstrating the system’s utility as an adaptive decision-support mechanism under volatile and uncertain environmental conditions. Ultimately, this research introduces a novel paradigm for strategic management grounded in the convergence of engineering methodologies and managerial practices, offering both academic and practical contributions through the development and implementation of a real-time, adaptive strategic decision-making framework.