Competence mapping based on cluster analysis
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista Tecnologia e Sociedade (Online) |
Texto Completo: | https://periodicos.utfpr.edu.br/rts/article/view/3148 |
Resumo: | In the knowledge society, intellectual capital has become a major intangible business assets. The integration of knowledge, skills and attitudes intrinsic to the individual reflected in the performance of employees in the organizational environment, directly influencing the success of the business and the maintenance of organizational competitiveness. By aligning the competences of employees with the organization's objectives, greater productivity can be achieved. The objective of this paper is to present a model to assist in management competence, using technique based on cluster analysis, aiming to map and describe the competences, as well as identify and manage the professional profiles of employees. With the help of existing technologies can be applied techniques for extracting knowledge and the correct management of it, enhancing it into a source of competitive advantage, able to highlight trends and assist in the decision-making process. The methodological procedures involved a systematic literature review and the development of a scenario by collecting 39 curriculums of the post graduate of Engineering professors and Knowledge Management from the Federal University of Santa Catarina, obtained from the Lattes Platform. Through the scenario, we were possible to evaluate and verify that the model has the ability to achieve consistent and satisfactory results in the understanding of a particular domain from unstructured information sources. |
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Competence mapping based on cluster analysisMapeamento de competências baseado em análise de agrupamentosIn the knowledge society, intellectual capital has become a major intangible business assets. The integration of knowledge, skills and attitudes intrinsic to the individual reflected in the performance of employees in the organizational environment, directly influencing the success of the business and the maintenance of organizational competitiveness. By aligning the competences of employees with the organization's objectives, greater productivity can be achieved. The objective of this paper is to present a model to assist in management competence, using technique based on cluster analysis, aiming to map and describe the competences, as well as identify and manage the professional profiles of employees. With the help of existing technologies can be applied techniques for extracting knowledge and the correct management of it, enhancing it into a source of competitive advantage, able to highlight trends and assist in the decision-making process. The methodological procedures involved a systematic literature review and the development of a scenario by collecting 39 curriculums of the post graduate of Engineering professors and Knowledge Management from the Federal University of Santa Catarina, obtained from the Lattes Platform. Through the scenario, we were possible to evaluate and verify that the model has the ability to achieve consistent and satisfactory results in the understanding of a particular domain from unstructured information sources.Na sociedade do conhecimento, o capital intelectual tornou-se um dos principais ativos empresariais intangíveis. A integração do conhecimento, das habilidades e atitudes intrínsecas ao indivíduo reflete no desempenho dos colaboradores no ambiente organizacional, influenciando diretamente no sucesso dos negócios e na manutenção da competitividade organizacional. Ao alinhar as competências dos colaboradores com os objetivos da organização, uma produtividade maior pode ser obtida. O objetivo deste trabalho é apresentar um modelo para auxiliar na gestão por competências, utilizando a técnica de análise de agrupamento, visando mapear e descrever as competências, bem como identificar e gerir os perfis profissionais dos colaboradores. Com o auxílio das tecnologias existentes é possível aplicar técnicas para a extração de conhecimento e para a correta gestão do mesmo, potencializando-o em uma fonte de vantagem competitiva, capaz de evidenciar tendências e auxiliar no processo de tomada de decisão. Os procedimentos metodológicos envolveram uma revisão sistemática da literatura e a elaboração de um cenário com a coleta de 39 currículos de professores de um curso de Pós-graduação da Universidade Federal de Santa Catarina, obtidos através da Plataforma Lattes. Por meio do cenário, foi possível avaliar e verificar que o modelo possui a capacidade de atingir resultados consistentes e satisfatórios no âmbito do entendimento de determinado domínio a partir de fontes de informação não estruturadas.Universidade Tecnológica Federal do Paraná (UTFPR)Sérgio, Marina CarradoreGonçalves, Alexandre LeopoldoSouza, João Artur de2016-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.utfpr.edu.br/rts/article/view/314810.3895/rts.v12n24.3148Revista Tecnologia e Sociedade; v. 12, n. 24 (2016)Revista Tecnologia e Sociedade; v. 12, n. 24 (2016)1984-35261809-004410.3895/rts.v12n24reponame:Revista Tecnologia e Sociedade (Online)instname:Universidade Tecnológica Federal do Paraná (UTFPR)instacron:UTFPRporhttps://periodicos.utfpr.edu.br/rts/article/view/3148/2632Direitos autorais 2016 CC-BYhttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccess2016-09-23T14:47:13Zoai:periodicos.utfpr:article/3148Revistahttps://periodicos.ifrs.edu.br/index.php/tearPUBhttps://periodicos.utfpr.edu.br/rts/oai||rts-ct@utfpr.edu.br1984-35261809-0044opendoar:2016-09-23T14:47:13Revista Tecnologia e Sociedade (Online) - Universidade Tecnológica Federal do Paraná (UTFPR)false |
dc.title.none.fl_str_mv |
Competence mapping based on cluster analysis Mapeamento de competências baseado em análise de agrupamentos |
title |
Competence mapping based on cluster analysis |
spellingShingle |
Competence mapping based on cluster analysis Sérgio, Marina Carradore |
title_short |
Competence mapping based on cluster analysis |
title_full |
Competence mapping based on cluster analysis |
title_fullStr |
Competence mapping based on cluster analysis |
title_full_unstemmed |
Competence mapping based on cluster analysis |
title_sort |
Competence mapping based on cluster analysis |
author |
Sérgio, Marina Carradore |
author_facet |
Sérgio, Marina Carradore Gonçalves, Alexandre Leopoldo Souza, João Artur de |
author_role |
author |
author2 |
Gonçalves, Alexandre Leopoldo Souza, João Artur de |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
|
dc.contributor.author.fl_str_mv |
Sérgio, Marina Carradore Gonçalves, Alexandre Leopoldo Souza, João Artur de |
description |
In the knowledge society, intellectual capital has become a major intangible business assets. The integration of knowledge, skills and attitudes intrinsic to the individual reflected in the performance of employees in the organizational environment, directly influencing the success of the business and the maintenance of organizational competitiveness. By aligning the competences of employees with the organization's objectives, greater productivity can be achieved. The objective of this paper is to present a model to assist in management competence, using technique based on cluster analysis, aiming to map and describe the competences, as well as identify and manage the professional profiles of employees. With the help of existing technologies can be applied techniques for extracting knowledge and the correct management of it, enhancing it into a source of competitive advantage, able to highlight trends and assist in the decision-making process. The methodological procedures involved a systematic literature review and the development of a scenario by collecting 39 curriculums of the post graduate of Engineering professors and Knowledge Management from the Federal University of Santa Catarina, obtained from the Lattes Platform. Through the scenario, we were possible to evaluate and verify that the model has the ability to achieve consistent and satisfactory results in the understanding of a particular domain from unstructured information sources. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-06-01 |
dc.type.none.fl_str_mv |
|
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.utfpr.edu.br/rts/article/view/3148 10.3895/rts.v12n24.3148 |
url |
https://periodicos.utfpr.edu.br/rts/article/view/3148 |
identifier_str_mv |
10.3895/rts.v12n24.3148 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.utfpr.edu.br/rts/article/view/3148/2632 |
dc.rights.driver.fl_str_mv |
Direitos autorais 2016 CC-BY http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Direitos autorais 2016 CC-BY http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Tecnológica Federal do Paraná (UTFPR) |
publisher.none.fl_str_mv |
Universidade Tecnológica Federal do Paraná (UTFPR) |
dc.source.none.fl_str_mv |
Revista Tecnologia e Sociedade; v. 12, n. 24 (2016) Revista Tecnologia e Sociedade; v. 12, n. 24 (2016) 1984-3526 1809-0044 10.3895/rts.v12n24 reponame:Revista Tecnologia e Sociedade (Online) instname:Universidade Tecnológica Federal do Paraná (UTFPR) instacron:UTFPR |
instname_str |
Universidade Tecnológica Federal do Paraná (UTFPR) |
instacron_str |
UTFPR |
institution |
UTFPR |
reponame_str |
Revista Tecnologia e Sociedade (Online) |
collection |
Revista Tecnologia e Sociedade (Online) |
repository.name.fl_str_mv |
Revista Tecnologia e Sociedade (Online) - Universidade Tecnológica Federal do Paraná (UTFPR) |
repository.mail.fl_str_mv |
||rts-ct@utfpr.edu.br |
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1800223876649582592 |