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

ABSTRACT 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.摘要 研究背景：近年来，诸多研究致力于分析公共管理语境下智能（intelligence）与知识管理流程的理解与应用方式，在此类环境中，流程作为提升决策质量的关键切入点有待进一步探索。 研究目标：剖析公共管理者如何应用智能与知识管理，以达成更高水准的决策质量。 研究方法：本研究基于一套经明确界定与验证的研究方案，对巴西南部的17名公共管理者开展访谈。分析阶段采用基于模糊集的定性比较分析技术。 研究结果：结果显示，高效的数据、信息与知识管理对公共管理者的决策质量至关重要，同时表明决策质量的缺失与公共管理领域内知识管理及智能要素的缺失或低使用率直接相关。 研究结论：本研究不仅分析了相关影响条件并提出了提升公共管理者决策质量的可行路径，还为公共管理领域的知识管理与智能主题贡献了研究成果，同时可为政府部门提供值得巩固与深入探索的发展方向。