Sistemática de Inteligência Acadêmica: caso das universidades públicas federais paulistas

Abstract

Several evaluation systems are applied to Higher Education Institutions (HEIs), and good performance in these assessments is crucial for the success of HEIs' institutional projects. In this sense, decision-making processes and strategy development for university management emerge as complex issues, demanding an understanding of the operational environment of these institutions. This involves academic practices in teaching, research, extension, and innovation, the requirements of higher education assessment systems, as well as the performance of organizations operating within their environment. Academic Intelligence Systems (AIS) are developed based on the identification of intelligence needs, employing Competitive Intelligence (CI) practices to support the strategic management of HEIs. The aim of this research was to develop and apply a systematic approach to create indicators of Academic Intelligence that are relevant to HEIs' activities. This approach is grounded in CI concepts and the dimensions of higher education assessment systems. The method employed was an exploratory case study with a qualitative-quantitative approach. The analysis encompassed federal public universities located in the state of São Paulo, Brazil (Universidade Federal de São Carlos, Universidade Federal de São Paulo e Universidade Federal do ABC). Information sources included records from the Currículo Lattes, enriched with other data sources, regarding the background of 3,077 professors engaged in the 158 stricto sensu graduate programs associated with the units under analysis. To identify informational and intelligence demands of the analysis units, academic assessment systems such as the Sistema Nacional de Avaliação da Educação Superior (SINAES), the Sistema Nacional de Avaliação da Educação Superior of CAPES, and university rankings were used. Subsequently, the information sources meeting these demands were identified, categorized, and analyzed using Bibliometrics and Social Network Analysis techniques. The results obtained include: 1] a proposed systematic approach for the development of Academic Intelligence indicators, and 2] a set of Academic Intelligence indicators related to the dimensions of evaluation systems and the intelligence needs of decision-makers in the units of analysis. The results demonstrate the feasibility of obtaining Academic Intelligence indicators using data from the Plataforma Lattes, in combination with the employed analysis techniques and data enrichment. It is believed that these outcomes can contribute to the success of HEIs' institutional projects by enhancing the understanding of their operational environment through Academic Intelligence indicators.