Decision-Making Quality of Public Managers: Contributions from Intelligence and Knowledge Management

Context: in recent years, studies have sought to analyze how intelligence and knowledge management processes are understood and applied in the context of public management, environments in which processes appear as a point to be explored to enhance decision-making quality. Objective: to analyze how public managers apply intelligence and knowledge management aiming at a higher decision quality. Method: based on a defined and validated research protocol, interviews were conducted with seventeen public managers in southern Brazil. For the analysis, the qualitative comparative analysis technique using fuzzy sets was applied. Results: the results suggest the importance of effective data, information, and knowledge management for the decision-making quality of public managers, demonstrating that the absence of decision-making quality is directly related to the absence or little use of knowledge management and intelligence elements in the public management. Conclusion: in addition to analyzing conditions and proposing ways to lead to greater quality in decision making by public managers, it was possible to contribute to the theme of knowledge management and intelligence in public management, as well as to benefit the government with paths to be consolidated and better explored.

Real Time Impact Factor: Pending

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Keywords: public management, knowledge management, intelligence, qualitative comparative analysis, fuzzy sets


EISSN: 1982-7849

EOI/DOI: 10.1590/1982-7849rac2021190044

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