Interpretive structural modeling of knowledge network in car industry’ R&D centers

• Autores: Ali Rezaeian, Rouhollah Bagheri
• Localización: Independent Journal of Management & Production, ISSN-e 2236-269X, Vol. 9, Nº. 2, 2018 (Ejemplar dedicado a: Independent Journal of Management & Production), págs. 562-580
• Idioma: inglés
• DOI: 10.14807/ijmp.v9i2.693
• Enlaces
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• Resumen

  • The current research has been done with the aim of knowledge network interpretive structural modeling in car industry’s R&D centers. The key factors for implementing a knowledge network in car industry’s R&D centers have been determined and then the final graphical model has been drawn by Interpretive Structural Modeling (ISM) approach.The method of the current applied research includes a survey of experts and then the variables extracted through investigating research background, after that the MATLAB R2013 software is used for making compatible matrix as well as drawing graphical relations of the model by Interpretive Structural Modeling approach.After studying related works & interviewing with under-studied firms’ managers, interpretive structural modeling (ISM) & MICMAC analysis was used to generate a model for knowledge network. Previous studies had not investigated the knowledge network in car industry’s R&D centers; however, the present study implemented the knowledge network model in R&D Centers.

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