Application of Social Simulation & Big Data Analytics in Strategic Decision-Making
An in-depth article exploring how agent-based modeling and big data pipelines transform strategic policy simulations in modern complex business ecosystems.
Bandung, June 20, 2026 — In the era of rapid digital disruption, traditional decision-making models often fall short in predicting non-linear human behavior and market reactions. Social Simulation & Big Data Analytics (SSBDA) provides a revolutionary bridge by combining empirical data science with computational social science.
Through agent-based simulation and system dynamics, researchers and executives can test corporate policies, price sensitivities, and supply chain disruptions inside a safe, high-fidelity virtual sandbox before deploying them in the real world.
Category
Artikel Social Simulation & Big Data
Published on
Jun 20, 2026
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179