Mathematical modeling for design thinking innovation method based on markov chain theory

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dc.contributor.authorLópez-Leyva, Josué Aarón
dc.contributor.authorChávez García, Dalia H.
dc.contributor.authorTalancon, M.
dc.contributor.authorPonce Camacho, Miguel Ángel
dc.contributor.authorValentin, F.
dc.date.accessioned2019-10-30T00:55:21Z
dc.date.available2019-10-30T00:55:21Z
dc.date.created2018-05-14
dc.date.issued2019-03
dc.description.abstractA mathematical modeling based on Markov chain to determine the probability of success related to an innovation process is presented. Based on the auto-evaluation of a particular user and certain innovation stages proposed, the mathematical model allows to calculate the transition probability of each stage for any period (step) in order to enhance the resource management. The simulation results show an adequate and logical performance of the innovation process for different auto-evaluation scores in order to accelerate the innovation process without diminishing the probability of success.es_ES
dc.description.sponsorshipJournal of Scientific & Industrial Researches_ES
dc.description.urlhttp://nopr.niscair.res.in/handle/123456789/45950es_ES
dc.format.page135-138es_ES
dc.identifier.indexacionScopuses_ES
dc.identifier.issn0975-1084
dc.identifier.urihttps://repositorio.cetys.mx/handle/60000/130
dc.language.isoen_USes_ES
dc.relation.ispartofseries78;3
dc.rightsAtribución-NoComercial-CompartirIgual 2.5 México*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/2.5/mx/*
dc.subjectMarkov Chaines_ES
dc.subjectDesign thinkinges_ES
dc.subjectModellinges_ES
dc.subjectProbability of Successes_ES
dc.subjectMethodology
dc.titleMathematical modeling for design thinking innovation method based on markov chain theoryes_ES
dc.title.alternativeJournal of Scientific & Industrial Researches_ES
dc.typeArticlees_ES

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