Innovation ecosystems are complex systems involving diverse stakeholders with varying interests, focused on fostering innovative outputs. These environments enable large corporations, entrepreneurs, investors, and government institutions to connect, share knowledge, and combine their contributions to generate value through networking. They encourage partnerships and interactions that support co-creation. This paper investigates the innovation ecosystem as a network of interacting agents. While much research has emphasized qualitative analyses of orchestration, we use agent-based modeling (ABM) to explore both individual agents and their aggregated behaviors. Our model serves as a decision-making tool to evaluate the effectiveness of orchestration strategies on both individual agents and overall ecosystem performance.