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:
-
Escorcia Guzman, Jey Homard
Zuluaga Ortiz, Rohemi Alfredo
Garizabal Donado, Luz Eliana
Mora García, Yeimer Alexander
Sandoval Karam, Michael
Molina Guerrero, Camilo José
De la Hoz Dominguez, Enrique José
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2023
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/13822
- Acceso en línea:
- https://hdl.handle.net/11323/13822
https://repositorio.cuc.edu.co/
- Palabra clave:
- Clustering analysis
Knowledge management
Higher education institution
Research group
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
| Summary: | 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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