Model of intellectual capital measurement in accredited careers of Industrial Engineering from Peru
Descripción del Articulo
In this globalization scenario, where the knowledge is the new basis for competitiveness, organizations face challenges that require imminently, the identification and measurement of intangible that represent of Intellectual Capital so they can be managed effectively and achieve the levels of compet...
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|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2016 |
| Institución: | Universidad Nacional Mayor de San Marcos |
| Repositorio: | Revistas - Universidad Nacional Mayor de San Marcos |
| Lenguaje: | español |
| OAI Identifier: | oai:ojs.csi.unmsm:article/12546 |
| Enlace del recurso: | https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/12546 |
| Nivel de acceso: | acceso abierto |
| Materia: | intellectual capital human capital structural capital relational capital social capital capital intelectual capital humano capital estructural capital relacional capital social. |
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Model of intellectual capital measurement in accredited careers of Industrial Engineering from PeruModelo de medición del capital intelectual en las carreras acreditadas de Ingeniería Industrial del PerúPastrana Díaz, Nérida del Carmenintellectual capitalhuman capitalstructural capitalrelational capitalsocial capitalcapital intelectualcapital humanocapital estructuralcapital relacionalcapital social.In this globalization scenario, where the knowledge is the new basis for competitiveness, organizations face challenges that require imminently, the identification and measurement of intangible that represent of Intellectual Capital so they can be managed effectively and achieve the levels of competitiveness today’s world demands. In the article the design of Model of Intellectual Capital Measurement in Accredited Careers of Industrial Engineering: CII-FII is proposed, based on a case study. This model is empirically validated through a sample of 100 teachers obtained from four (04) Accredited Careers of Industrial Engineering from Peru, the results show that the Intellectual Capital is a distinctive competitive advantage, having reached a valuation of 63.54%, where the Human Capital has the highest valuation in respect of Structural Capital with 24.02%, followed by Structural Capital with 16.5%, the Relational Capital with 13.98% and finally the Social Capital with 9.05% and using Bayesian Networks twelve factors that have significant influence on the Intellectual Capital and the impacts that they generate are determined. An application software for the measurement and management of Intellectual Capital is proposed.En este escenario de globalización, donde el conocimiento es la nueva base de la competitividad, las organizaciones afrontan desafíos que exigen de manera inminente, la identificación y medición de intangibles que representan el Capital Intelectual para que puedan gestionarse efectivamente y lograr los niveles de competitividad que el mundo actual exige. En el artículo se propone el diseño de un modelo de medición del Capital Intelectual de las Carreras Acreditadas de Ingeniería Industrial del Perú: CI-FII, a partir de un estudio de casos. Este modelo se valida empíricamente a través de una muestra de 100 docentes, obtenida de las cuatro (04) Carreras Acreditadas de Ingeniería Industrial del Perú, los resultados muestran que el Capital Intelectual se encuentra en una ventaja competitiva diferenciadora, habiendo alcanzado una valoración del 63,54%, en donde el Capital Humano tiene la más alta valoración respecto de Capital Estructural con un 24,02%, seguida del Capital Estructural con un 16.5%, el Capital Relacional con 13.98% y finalmente el Capital Social con 9.05% y utilizando Redes Bayesianas se determinan doce factores que tienen influencia significativa en el Capital Intelectual y los impactos que ellos generan. Se propone un software aplicativo para la medición y gestión del Capital Intelectual.Facultad de Ingeniería Industrial, Universidad Nacional Mayor de San Marcos2016-10-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/1254610.15381/idata.v19i1.12546Industrial Data; Vol. 19 No. 1 (2016); 131-138Industrial Data; Vol. 19 Núm. 1 (2016); 131-1381810-99931560-9146reponame:Revistas - Universidad Nacional Mayor de San Marcosinstname:Universidad Nacional Mayor de San Marcosinstacron:UNMSMspahttps://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/12546/11250Derechos de autor 2016 Nérida del Carmen Pastrana Díazhttps://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessoai:ojs.csi.unmsm:article/125462019-07-11T17:25:41Z |
| dc.title.none.fl_str_mv |
Model of intellectual capital measurement in accredited careers of Industrial Engineering from Peru Modelo de medición del capital intelectual en las carreras acreditadas de Ingeniería Industrial del Perú |
| title |
Model of intellectual capital measurement in accredited careers of Industrial Engineering from Peru |
| spellingShingle |
Model of intellectual capital measurement in accredited careers of Industrial Engineering from Peru Pastrana Díaz, Nérida del Carmen intellectual capital human capital structural capital relational capital social capital capital intelectual capital humano capital estructural capital relacional capital social. |
| title_short |
Model of intellectual capital measurement in accredited careers of Industrial Engineering from Peru |
| title_full |
Model of intellectual capital measurement in accredited careers of Industrial Engineering from Peru |
| title_fullStr |
Model of intellectual capital measurement in accredited careers of Industrial Engineering from Peru |
| title_full_unstemmed |
Model of intellectual capital measurement in accredited careers of Industrial Engineering from Peru |
| title_sort |
Model of intellectual capital measurement in accredited careers of Industrial Engineering from Peru |
| dc.creator.none.fl_str_mv |
Pastrana Díaz, Nérida del Carmen |
| author |
Pastrana Díaz, Nérida del Carmen |
| author_facet |
Pastrana Díaz, Nérida del Carmen |
| author_role |
author |
| dc.subject.none.fl_str_mv |
intellectual capital human capital structural capital relational capital social capital capital intelectual capital humano capital estructural capital relacional capital social. |
| topic |
intellectual capital human capital structural capital relational capital social capital capital intelectual capital humano capital estructural capital relacional capital social. |
| description |
In this globalization scenario, where the knowledge is the new basis for competitiveness, organizations face challenges that require imminently, the identification and measurement of intangible that represent of Intellectual Capital so they can be managed effectively and achieve the levels of competitiveness today’s world demands. In the article the design of Model of Intellectual Capital Measurement in Accredited Careers of Industrial Engineering: CII-FII is proposed, based on a case study. This model is empirically validated through a sample of 100 teachers obtained from four (04) Accredited Careers of Industrial Engineering from Peru, the results show that the Intellectual Capital is a distinctive competitive advantage, having reached a valuation of 63.54%, where the Human Capital has the highest valuation in respect of Structural Capital with 24.02%, followed by Structural Capital with 16.5%, the Relational Capital with 13.98% and finally the Social Capital with 9.05% and using Bayesian Networks twelve factors that have significant influence on the Intellectual Capital and the impacts that they generate are determined. An application software for the measurement and management of Intellectual Capital is proposed. |
| publishDate |
2016 |
| dc.date.none.fl_str_mv |
2016-10-03 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/12546 10.15381/idata.v19i1.12546 |
| url |
https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/12546 |
| identifier_str_mv |
10.15381/idata.v19i1.12546 |
| dc.language.none.fl_str_mv |
spa |
| language |
spa |
| dc.relation.none.fl_str_mv |
https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/12546/11250 |
| dc.rights.none.fl_str_mv |
Derechos de autor 2016 Nérida del Carmen Pastrana Díaz https://creativecommons.org/licenses/by-nc-sa/4.0 info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
Derechos de autor 2016 Nérida del Carmen Pastrana Díaz https://creativecommons.org/licenses/by-nc-sa/4.0 |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Facultad de Ingeniería Industrial, Universidad Nacional Mayor de San Marcos |
| publisher.none.fl_str_mv |
Facultad de Ingeniería Industrial, Universidad Nacional Mayor de San Marcos |
| dc.source.none.fl_str_mv |
Industrial Data; Vol. 19 No. 1 (2016); 131-138 Industrial Data; Vol. 19 Núm. 1 (2016); 131-138 1810-9993 1560-9146 reponame:Revistas - Universidad Nacional Mayor de San Marcos instname:Universidad Nacional Mayor de San Marcos instacron:UNMSM |
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Universidad Nacional Mayor de San Marcos |
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UNMSM |
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UNMSM |
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Revistas - Universidad Nacional Mayor de San Marcos |
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Revistas - Universidad Nacional Mayor de San Marcos |
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Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).