A contribution to knowledge management: Model to measure intellectual capital in accredited industrial engineering careers

This research proposes the design of a measurement model for Intellectual Capital (IC) after identifying the factors that generate value and induce success, taking into account the variables of Intellectual Capital: Human Capital, Structural Capital, Relational Capital and Social Capital , which were analyzed through a case study. This model for measuring Intellectual Capital was empirically validated through a sample of 100 teachers, obtained from four (04) Accredited Industrial Engineering Programs in Peru. The results show that Intellectual Capital has a differentiating competitive advantage, having reached a valuation of 63.54%, where Human Capital has the highest valuation with respect to Structural Capital, with 24.02%, followed by Capital Structural with 16.5%, Relational Capital with 13.98% and, finally, Social Capital, with 9.05%; Using Bayesian Networks, twelve factors have been determined that have a significant influence on Intellectual Capital and the impacts they generate. An application software is proposed for the measurement and management of Intellectual Capital.

Cite (APA)

Pastrana, N., Bocangel, G., Bocangel, G., & Céspedes, L. (2022). Una contribución a la gestión del conocimiento: Modelo para medir el capital intelectual en las carreras acreditadas de ingeniería industrial. Editorial Navegante. https://submission.editorialnavegante.com/index.php/SEN/catalog/book/150