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Knowledge Production in Universities: An Analysis Based on Human Capital Theory, a Case of Accredited HEIs in Colombia

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Date
2022
Author
Moreno-López G
Marín L.M.G
Gómez-Bayona L
Mora J.M.R.

Citación

       
TY - GEN T1 - Knowledge Production in Universities: An Analysis Based on Human Capital Theory, a Case of Accredited HEIs in Colombia Y1 - 2022 UR - http://hdl.handle.net/11407/7504 PB - Springer Science and Business Media Deutschland GmbH AB - The purpose of this paper is to analyze the results of knowledge production of researchers linked to Colombian Higher Education Institutions (HEIs), accredited in high quality; based on the basic elements or dimensions of human capital theory, the information will be collected and analyzed from a secondary source: the web page of the Administrative Department of Science, Technology and Innovation of Colombia (Colciencias), government entity that manages the scientific production supported by the group and researcher measurement model; likewise, the information will be tabulated, organized, and structured in such a way as to identify substantial elements to be able to infer and compare from their results. The results show the descriptive statistical information of each one of the regions in which the country is divided in the (Colciencias) model, allowing to identify the basic parameters, such as the mean and the median among other elements. For the different groups of analysis: classified researchers, training of researchers, classified research groups, and the productivity indicators are presented in reference with each of the seven regions: Capital District, Coffee Region, Pacific, Caribbean, Middle East, Center South, and Plains. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. ER - @misc{11407_7504, author = {}, title = {Knowledge Production in Universities: An Analysis Based on Human Capital Theory, a Case of Accredited HEIs in Colombia}, year = {2022}, abstract = {The purpose of this paper is to analyze the results of knowledge production of researchers linked to Colombian Higher Education Institutions (HEIs), accredited in high quality; based on the basic elements or dimensions of human capital theory, the information will be collected and analyzed from a secondary source: the web page of the Administrative Department of Science, Technology and Innovation of Colombia (Colciencias), government entity that manages the scientific production supported by the group and researcher measurement model; likewise, the information will be tabulated, organized, and structured in such a way as to identify substantial elements to be able to infer and compare from their results. The results show the descriptive statistical information of each one of the regions in which the country is divided in the (Colciencias) model, allowing to identify the basic parameters, such as the mean and the median among other elements. For the different groups of analysis: classified researchers, training of researchers, classified research groups, and the productivity indicators are presented in reference with each of the seven regions: Capital District, Coffee Region, Pacific, Caribbean, Middle East, Center South, and Plains. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.}, url = {http://hdl.handle.net/11407/7504} }RT Generic T1 Knowledge Production in Universities: An Analysis Based on Human Capital Theory, a Case of Accredited HEIs in Colombia YR 2022 LK http://hdl.handle.net/11407/7504 PB Springer Science and Business Media Deutschland GmbH AB The purpose of this paper is to analyze the results of knowledge production of researchers linked to Colombian Higher Education Institutions (HEIs), accredited in high quality; based on the basic elements or dimensions of human capital theory, the information will be collected and analyzed from a secondary source: the web page of the Administrative Department of Science, Technology and Innovation of Colombia (Colciencias), government entity that manages the scientific production supported by the group and researcher measurement model; likewise, the information will be tabulated, organized, and structured in such a way as to identify substantial elements to be able to infer and compare from their results. The results show the descriptive statistical information of each one of the regions in which the country is divided in the (Colciencias) model, allowing to identify the basic parameters, such as the mean and the median among other elements. For the different groups of analysis: classified researchers, training of researchers, classified research groups, and the productivity indicators are presented in reference with each of the seven regions: Capital District, Coffee Region, Pacific, Caribbean, Middle East, Center South, and Plains. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. OL Spanish (121)
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Abstract
The purpose of this paper is to analyze the results of knowledge production of researchers linked to Colombian Higher Education Institutions (HEIs), accredited in high quality; based on the basic elements or dimensions of human capital theory, the information will be collected and analyzed from a secondary source: the web page of the Administrative Department of Science, Technology and Innovation of Colombia (Colciencias), government entity that manages the scientific production supported by the group and researcher measurement model; likewise, the information will be tabulated, organized, and structured in such a way as to identify substantial elements to be able to infer and compare from their results. The results show the descriptive statistical information of each one of the regions in which the country is divided in the (Colciencias) model, allowing to identify the basic parameters, such as the mean and the median among other elements. For the different groups of analysis: classified researchers, training of researchers, classified research groups, and the productivity indicators are presented in reference with each of the seven regions: Capital District, Coffee Region, Pacific, Caribbean, Middle East, Center South, and Plains. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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http://hdl.handle.net/11407/7504
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