Artificial Intelligence - Driven Analytics and the Evolution of Digital Business Ecosystems: A Multi-Layered Empirical Framework

The research will discuss how artificial intelligence-based analytics will contribute to the development of digital business ecosystems. The study develops a multi-layered empirical construct that combines analytical ability, ecosystem coordination, innovation performance, and governance effectiveness. Data collected via a survey in platform-based organizations, using a quantitative approach, are used to test the relationships among the main constructs. The results indicate that advanced analytics contributes to substantial improvements in decision-making, partner alignment, and innovation within ecosystem networks. The findings indicate that strong governance mechanisms enhance the positive influence of analytics on overall ecosystem performance. The work contributes to the body of knowledge on ecosystems by offering quantifiable constructs and an analytical model for evaluating digital transformation. Managers and policymakers who want to plan sustainable, data-driven ecosystem strategies are provided with practical implications. The model successfully promotes evidence-based strategic planning and collaboration at the global level.