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Modelo de evaluación de gestión del conocimiento para las pymes del sector de tecnologías de la Información

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Listed:
  • Carlos Eduardo Marulanda Echeverry
  • Jaime Alberto Giraldo García
  • Héctor Mauricio Serna Gómez

Abstract

Se presenta en este artículo la validación estadística de un modelo de evaluación de gestión del conocimiento (GC), para pymes de desarrollo de software del triángulo del café de Colombia. Se realiza una investigación confirmatoria de tipo correlacional que se validó con 110 empresas, teniendo en consideración aspectos de infraestructura, uso intensivo de gestión de conocimiento y comunidades de práctica (COP). El modelo se contrasta bajo un análisis factorial confirmatorio que da cumplimiento a los criterios de convergencia, divergencia y fiabilidad conjunta. Se obtuvo un modelo único de evaluación de GC que se fundamenta en lo holístico y la gestión por procesos, el cual evalúa 22 variables, 7 categorías y 3 dimensiones en pymes del sector de tecnologías de la información y comunicaciones (TI), esto permite validar un modelo teórico apropiado a las necesidades de las companías de software, el cual puede ser aplicado en similares sectores en otras ciudades de Colombia y el mundo.

Suggested Citation

  • Carlos Eduardo Marulanda Echeverry & Jaime Alberto Giraldo García & Héctor Mauricio Serna Gómez, 2015. "Modelo de evaluación de gestión del conocimiento para las pymes del sector de tecnologías de la Información," Revista Ad-Minister, Universidad EAFIT, June.
    • Handle: RePEc:col:000475:013319
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    References listed on IDEAS

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    1. Feigenberg, Benjamin & Field, Erica M. & Pande, Rohini, 2010. "Building Social Capital through Microfinance," Working Paper Series rwp10-019, Harvard University, John F. Kennedy School of Government.
    2. Yang, Jie, 2010. "The knowledge management strategy and its effect on firm performance: A contingency analysis," International Journal of Production Economics, Elsevier, vol. 125(2), pages 215-223, June.
    3. Shapira, Philip & Youtie, Jan & Yogeesvaran, K. & Jaafar, Zakiah, 2006. "Knowledge economy measurement: Methods, results and insights from the Malaysian Knowledge Content Study," Research Policy, Elsevier, vol. 35(10), pages 1522-1537, December.
    4. Gratton, Lynda & Ghoshal, Sumantra, 2003. "Managing Personal Human Capital:: New Ethos for the 'Volunteer' Employee," European Management Journal, Elsevier, vol. 21(1), pages 1-10, February.
    5. Paula Almonacid & Isabel Cristina Montes & Juan José Vásquez, 2009. "Un análisis factorial para evaluar la pertinencia de un programa académico desde la perspectiva de los graduados: un estudio de caso," Revista Ecos de Economía, Universidad EAFIT, October.
    6. Darío Liberona & Manuel Ruiz, 2013. "Análisis de la implementación de programas de gestión del conocimiento en las empresas chilenas," Estudios Gerenciales, Universidad Icesi, June.
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    More about this item

    Keywords

    gestión de conocimiento; modelo de evaluación; análisis factorial confirmatorio; sector tecnología de información y comunicaciones; empresas de base tecnológica;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • L8 - Industrial Organization - - Industry Studies: Services
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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