COMPETENCY MAPPING AND KNOWLEDGE MANAGEMENT IN INNOVATION NETWORKS

Abstract

This study analyzes competency mapping as a Knowledge Management (KM) instrument to strengthen collective intelligence within a Brazilian federal network of research and technological innovation observatories. The study assumes that, in distributed organizational environments, knowledge is dispersed across different units, making its identification, sharing, and mobilization more challenging. Methodologically, the research is characterized as an applied, qualitative, and exploratory multiple-case study. Data were collected through a structured questionnaire administered to ten observatories belonging to the network and analyzed using thematic content analysis. The findings revealed a predominance of competencies related to socioeconomic studies, sectoral analyses, market and economic research, and data visualization platforms, indicating a consolidated capacity for producing applied intelligence. Conversely, gaps were identified in more specialized competencies, particularly in data engineering and architecture, foresight activities, and advanced analytical models. The analysis also highlighted opportunities for collaboration based on the identification of specializations, complementarities, and potential reference units within the network. The study concludes that competency mapping goes beyond a descriptive inventory, functioning as a strategic mechanism for identifying, articulating, and mobilizing distributed capabilities. When integrated into KM practices, it contributes to strengthening collective intelligence, organizational learning, and collaborative capacity in innovation networks.