Evaluating ecological niche evolution in AI-powered open innovation ecos...


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This study proposes a large-model-driven framework for measuring and evaluating the ecological niche of entities within open innovation ecosystems. By integrating multi-source data, network analysis, and deep learning techniques, the model identifies collaboration patterns, innovation vitality, and adaptive capabilities among participants. The research provides insights into optimizing resource allocation, enhancing ecosystem resilience, and promoting sustainable innovation growth. The approach offers a quantitative and dynamic view of how participants evolve and compete in open innovation environments under the influence of AI-driven knowledge sharing.
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