Unveiling Public Innovation Management: What Data Mining Reveals by Analyzing Brazilian Experiences?
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| Format: | Artículo científico |
| Sprache: | en |
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Associação Nacional de Pós-Graduação e Pesquisa em Administração
2025
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| _version_ | 1876459490264481792 |
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| author | Antonio Isidro da Silva |
| author_facet | Antonio Isidro da Silva |
| contents | Unveiling Public Innovation Management: What Data Mining Reveals by Analyzing Brazilian Experiences? Antonio Isidro da Silva Dayse Karenine de Oliveira Carneiro Fernando de Souza Coelho Administración y Contabilidad public innovation innovation management public administration Public sector innovation Objective: the purpose of this article is to explain public sector innovation management, based on Brazilian experiences in public administration, relating six dimensions of innovation: drivers, facilitators, barriers, capabilities, outcomes, and impacts of innovation. Method: concerning qualitative methods, we analyze institutional documents about innovation experiences by applying content analysis and methodological triangulation among researchers. Regarding quantitative methods, we structured databases to operationalize the analysis, using data mining through the Apriori algorithm to identify association rules between the research constructs. Results: the results show 37 association rules that describe public innovation: human resources management for innovation, technology management for innovation, user knowledge, search for problem-solving, co-production between partners, and public co-producers. Conclusion: as a contribution, the research provides theoretical and empirical insights to improve the conceptual accuracy of the phenomenon and inform decision-making regarding policies and programs for managing public sector innovation. 2025 artículo científico 1807-7692 https://www.redalyc.org/articulo.oa?id=84182635005 https://www.redalyc.org/journal/841/84182635005/ https://www.redalyc.org/journal/841/84182635005/html/ https://www.redalyc.org/journal/841/84182635005/84182635005.epub https://www.redalyc.org/journal/841/84182635005/movil 10.1590/1807-7692bar2025240077 en http://www.redalyc.org/revista.oa?id=841 BAR - Brazilian Administration Review application/pdf Associação Nacional de Pós-Graduação e Pesquisa em Administração BAR - Brazilian Administration Review (Brasil) Num.2 Vol.22 |
| format | Artículo científico |
| id | redalyc_84182635005 |
| institution | Redalyc |
| language | en |
| publishDate | 2025 |
| publisher | Associação Nacional de Pós-Graduação e Pesquisa em Administração |
| spellingShingle | Unveiling Public Innovation Management: What Data Mining Reveals by Analyzing Brazilian Experiences? Antonio Isidro da Silva Administración y Contabilidad public innovation innovation management public administration Public sector innovation Unveiling Public Innovation Management: What Data Mining Reveals by Analyzing Brazilian Experiences? Antonio Isidro da Silva Dayse Karenine de Oliveira Carneiro Fernando de Souza Coelho Administración y Contabilidad public innovation innovation management public administration Public sector innovation Objective: the purpose of this article is to explain public sector innovation management, based on Brazilian experiences in public administration, relating six dimensions of innovation: drivers, facilitators, barriers, capabilities, outcomes, and impacts of innovation. Method: concerning qualitative methods, we analyze institutional documents about innovation experiences by applying content analysis and methodological triangulation among researchers. Regarding quantitative methods, we structured databases to operationalize the analysis, using data mining through the Apriori algorithm to identify association rules between the research constructs. Results: the results show 37 association rules that describe public innovation: human resources management for innovation, technology management for innovation, user knowledge, search for problem-solving, co-production between partners, and public co-producers. Conclusion: as a contribution, the research provides theoretical and empirical insights to improve the conceptual accuracy of the phenomenon and inform decision-making regarding policies and programs for managing public sector innovation. 2025 artículo científico 1807-7692 https://www.redalyc.org/articulo.oa?id=84182635005 https://www.redalyc.org/journal/841/84182635005/ https://www.redalyc.org/journal/841/84182635005/html/ https://www.redalyc.org/journal/841/84182635005/84182635005.epub https://www.redalyc.org/journal/841/84182635005/movil 10.1590/1807-7692bar2025240077 en http://www.redalyc.org/revista.oa?id=841 BAR - Brazilian Administration Review application/pdf Associação Nacional de Pós-Graduação e Pesquisa em Administração BAR - Brazilian Administration Review (Brasil) Num.2 Vol.22 |
| title | Unveiling Public Innovation Management: What Data Mining Reveals by Analyzing Brazilian Experiences? |
| topic | Administración y Contabilidad public innovation innovation management public administration Public sector innovation |
| url | https://www.redalyc.org/articulo.oa?id=84182635005 https://www.redalyc.org/journal/841/84182635005/ https://www.redalyc.org/journal/841/84182635005/html/ https://www.redalyc.org/journal/841/84182635005/84182635005.epub https://www.redalyc.org/journal/841/84182635005/movil |