This project examines the role of information sharing in decision-making within matching platforms, focusing on its impact at both the actor and network levels. The goal is to explore how effectively managing information can maximize network effects and enhance platform performance. At the actor level, information needs vary, with different types of information being crucial for the diverse decisions made by actors, and specific characteristics of the information influencing its utility. At the network level, information sharing is facilitated both vertically—between actors in a supply chain—and horizontally—among actors at the same level across different chains. This sharing creates value-added services for users of the platform. The interaction between trust levels and platform adoption is central to this dynamic. Higher trust among actors encourages the sharing of a broader range of information, while greater platform adoption enhances the quantity and quality of information exchanged, benefiting all participants. The project highlights how the value of shared information can shape actors’ attitudes towards trust and collaboration, ultimately driving better decision-making and platform effectiveness. By analyzing these relationships, the project aims to demonstrate how optimized information sharing can improve the performance and sustainability of matching platforms.