Determining elements used to measure knowledge management in higher education institutions' research divisions
The purpose of the current study is to identify the variables used to quantify knowledge in Barranquilla's higher education institutions' research divisions. The research used cluster analysis with the Hierarchical Kmeans algorithm and was descriptive in nature. Convenience sampling, not p...
| Autores: | , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2023 |
| País: | Colombia |
| Institución: | Corporación Universidad de la Costa |
| Repositorio: | Repositorio REDICUC |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.cuc.edu.co:11323/13822 |
| Acceso en línea: | https://hdl.handle.net/11323/13822 https://repositorio.cuc.edu.co/ |
| Access Level: | acceso abierto |
| Palabra clave: | Clustering analysis Knowledge management Higher education institution Research group |
| Sumario: | The purpose of the current study is to identify the variables used to quantify knowledge in Barranquilla's higher education institutions' research divisions. The research used cluster analysis with the Hierarchical Kmeans algorithm and was descriptive in nature. Convenience sampling, not probability, was used for the sample. The directors and vice-rectors of the research departments filled out a questionnaire using Likert and ordinal scales as part of the survey's data gathering process. In terms of gauging knowledge management, the research's findings led to the definition of three different sorts of profiles for research groups at higher education institutions. |
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