Abstract
This article aims to propose a model that manages the knowledge within organizations which are in the adaptation to industry 4.0 through tools that allow using competitive and comparative advantages according to the environment such as Big data, because these organizations are in a framework of large information flows, thus the technological solutions to analyze this huge amount of data will be key for the development of companies within this new market situation. To structure the model, we have considered some research conducted on this subject finding those aspects and fundamental tools in the process of knowledge management which are adapted to companies that want to venture into industry 4.0.
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References
Jeong, S., Ahn, J., Rhee, B.: A study of knowledge management system activation methods based on knowledge market theory. In: Lee, G., Howard, D., Ślęzak, D., Hong, Y.S. (eds.) ICHIT 2012. CCIS, vol. 310, pp. 103–110. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-32692-9_14
Blog de endesa: Industria 4.0. https://www.elblogdeendesa.com/innovacion/industria-4-0/. Accessed 1 Nov 2017
Ríos, J., Masb, F., Marcos, M., Vilad, C., Ugartee, D., Chevrotf, T.: Acelerando la adopción de tecnologías soporte de la Industria 4.0 en el área de ingeniería de fabricación (2016)
Rojas, C., Humberto, J.: La Cuarta Revolución Industrial o Industria 4.0 y su Impacto en la Educación Superior en Ingeniería en Latinoamérica y el Caribe. Universidad Antonio Nariño, Colombia (2017)
Arís, E.P.: La gestión tecnológica del conocimiento. EDITUM (2007)
García, J.: Gestión del conocimiento y empresa, una aproximación a la realidad española. EOI (2002)
Capote, J., Llanten, C.J., Pardo, C., Collazos, C.: Knowledge management in a software process improvement program in micro, small and medium-sized enterprises: KMSPI Model. Rev. Fac. Ing. Antioquia 50, 205–216 (2009)
Nonaka, I., Takeuchi, H.: The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. Oxford University Press, Oxford (1995)
Kazi, A.S., Wohlfart, L., Wolf, P.: Hands-on Knowledge Co-creation and Sharing: Practical Methods and Sharing (2007)
Big data Value Association: Big Data, desde los datos al conocimiento. http://bigdatabytecnalia.com/2015/07/big-data-desde-los-datos-al-conocimiento/. Accessed 31 Jan 2018
Blanco, M.J., González, K.T., Rodríguez, J.: Propuesta de una arquitectura de la industria 4.0 en la cadena de suministro desde la perspectiva de la ingeniería industrial. Ingeniería Solidaria vol 13, no. 23, septiembre de 2017
Parra, R.D.: Fundamentos epistemológicos de la investigación y la metodología de la investigación, Cualitativa/cuantitativa. Universidad EAFIT, Medellín (2010)
Hollander, R.: Activos intangibles; presentación de algunos modelos desarrollados. Horizontes empresariales, pp. 47–60 (2003)
González, J.: Intellectual capital and its indicators in the industrial sector. Universidad Nacional de Colombia. https://dialnet.unirioja.es/descarga/articulo/3990721.pdf. Accessed 21 Nov 2017
Lopera, M.A., Quiroz, N.: Caracterización de un modelo de gestión de conocimiento aplicable a la investigación universitaria y funciones de extensión (2013). http://repository.urosario.edu.co/bitstream/handle/10336/4651/43838548-2013.pdf. Accessed 2 Nov 2017
Fernández, M.: Total quality management. The EFQM excellence model. J. MEDIFAM 12, 631–640 (2002)
Nonaka, I., Takeuchi, H.: The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. Oxford University Press, New York (1995)
Triana, J., Medina, V., Rodríguez, J.I.: Modelo para fortalecer el rol de las PYMES en el emprendimiento de Bogotá D.C. Rev. Científica Cienc. e Ing. la Univ. Dist 17, 131–147 (2012)
Archanco R.: La industria 4.0 a través de sus características y cómo funciona. http://www.logicbus.com.mx/que-es-la-industria-4-0.php. Accesed 13 Dec 2017
Barranco Fragoso, R: ¿Qué es Big Data? IBM DeveloperWorks. http://papelesdeinteligencia.com/que-es-industria-4-0/. Accesed 3 Jan 2018
Puentes, J.L., Ortiz, N.Y., Rodriguez, J.I.: The knowledge management into technology based firms (model proposal). In: Uden, L., Liberona, D., Feldmann, B. (eds.) LTEC 2016. CCIS, vol. 620, pp. 15–24. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-42147-6_2
Puentes, J., Ortiz, N., Rodríguez, J.: The knowledge management into technology based firms (model proposal). In: First International Conference on Data Mining and Big Data, DMBD 2016, Bali, Indonesia, 25–30 June 2016, pp. 67–73 (2016)
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Cárdenas, L.J.A., Ramírez, W.F.T., Rodríguez Molano, J.I. (2018). Model for the Incorporation of Big Data in Knowledge Management Oriented to Industry 4.0. In: Tan, Y., Shi, Y., Tang, Q. (eds) Data Mining and Big Data. DMBD 2018. Lecture Notes in Computer Science(), vol 10943. Springer, Cham. https://doi.org/10.1007/978-3-319-93803-5_64
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