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dc.creatorGaitan, Mercedes
dc.creatorSantander Abril, Jairo Enrique
dc.creatorViloria Silva, Amelec Jesus
dc.creatorMOJICA HERAZO, JULIO CESAR
dc.creatorHernandez Malpica, Pedro Emilio
dc.creatorMartinez Ventura, Jairo Luis
dc.creatorHernández Fernández, Lissette
dc.date.accessioned2018-11-26T14:01:24Z
dc.date.available2018-11-26T14:01:24Z
dc.date.issued2018
dc.identifier.isbn978-331993802-8
dc.identifier.issn03029743
dc.identifier.urihttp://hdl.handle.net/11323/1831
dc.description.abstractThis study presents a comparative analysis of the management of innovation among family and non-family companies of the Graphic Communication Industry in Colombia. For which a questionnaire was applied in order to know the divergences in the innovation process carried out by these two types of organizations. From this, the methodology of Generalized Linear Models (MLG) was used and the Bayesian inference was used on the parameters of the model, analyzing the effect of the family business, the products that commercialize on the management of innovation in goods observed as a product tangible Obtaining in this way, the identification of some characteristics of innovation management and divergences with non-family companies, among them: a tendency towards the type of preferred innovation, the different sources and objectives to innovate, and the factors that hinder its process of innovation.spa
dc.language.isoengeng
dc.publisherLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)eng
dc.rightsAtribución – No comercial – Compartir igualeng
dc.subjectBayesian inferenceeng
dc.subjectFamily and non-family businesseng
dc.subjectInnovation managementeng
dc.subjectLogistic modeleng
dc.subjectMCMCeng
dc.titleCompany family, innovation and colombian graphic industry: a bayesian estimation of a logistical modeleng
dc.typeConference papereng
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.doihttp://doi-org-443.webvpn.fjmu.edu.cn/10.1007/978-3-319-93803-5_48.
dc.type.hasversioninfo:eu-repo/semantics/publishedVersionspa


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