Evaluating Knowledge Management Capabilities in a Peruvian Agricultural Research Station

This study evaluates the status of knowledge management (KM) within a public agricultural research station in Peru. A structured survey instrument was applied to 40 workers, obtaining 27 responses, assessing six KM dimensions: leadership, technology, organizational culture, knowledge production, storage, and transfer. The methodology combined descriptive statistical analysis, hierarchical and k-means clustering, and principal component analysis (PCA) to identify capability gaps and perception patterns among institutional units. The results reveal an incipient level of KM maturity, characterized by limited documentation practices, weak internal policies, and underutilized technological infrastructure. Based on PCA outputs, a hybrid KM model is proposed, integrating institutional policy, collaborative culture, infrastructure, and knowledge codification strategies. This work contributes empirical evidence to the development of KM systems in public research institutions in Latin America.