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Indicadores Del Capital Intelectual En El Área De Ingenierías De Una Universidad

Author

Listed:
  • Marisol Valencia Cárdenas
  • Jairo Estrada Muñoz
  • Indy Bibiana Bedoya Botero
  • Sara Tuttle Ospina

Abstract

El Capital Intelectual permite valorar y potencializar el conocimiento, los procedimientos institucionales y la productividad. Dicha valoración proporciona información para tomar decisiones en la búsqueda de mejoramiento de la competitividad. Este artículo presenta la medición del Capital Intelectual para el rea de Ingenierías de una Universidad y sus componentes: Capital Humano, Estructural, y Relacional, con un procedimiento basado en modelos de regresión Poisson y Análisis del Factor para encontrar los indicadores que cuantifican resultados asociados con cada tipo de Capital y con las actividades de docencia, investigación y extensión. El resultado refleja una fuerte asociación del Capital Humano con el Capital Intelectual, así como la influencia que estos reciben de productos como publicaciones de artículos y libros. Estos hallazgos permitirán a la Universidad identificar los posicionamientos de las sub-áreas de Ingenierías por tipo de Capital.

Suggested Citation

  • Marisol Valencia Cárdenas & Jairo Estrada Muñoz & Indy Bibiana Bedoya Botero & Sara Tuttle Ospina, 2013. "Indicadores Del Capital Intelectual En El Área De Ingenierías De Una Universidad," Revista Ciencias Estratégicas, Universidad Pontificia Bolivariana, July.
    • Handle: RePEc:col:000431:012016
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    References listed on IDEAS

    as
    1. Etzkowitz, Henry, 2003. "Research groups as 'quasi-firms': the invention of the entrepreneurial university," Research Policy, Elsevier, vol. 32(1), pages 109-121, January.
    2. Fernández Jardón, C. Mª & Martos, Susana María, 2008. "Capital intelectual y resultados empresariales en la cadena de la madera de Oberá (Argentina)," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 26, pages 141-164, Julio.
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    More about this item

    Keywords

    Capital IntelectualAnálisis multivariadoModelos lineales generalizados;

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • C9 - Mathematical and Quantitative Methods - - Design of Experiments

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