IDENTIFICATIONS OF ABSENT FACTORS TO GENERATE SECOND-ORDER CHANGES IN UNDERGRADUATE STUDENTS ABOUT THE FUTURE LABOR MARKET

Basit Öğe Kaydı
dc.contributor.authorChávez, Rubén
dc.contributor.authorGonzález, Federico
dc.contributor.authorFlores, Beatriz
dc.date.accessioned2026-02-08T15:02:42Z
dc.date.available2026-02-08T15:02:42Z
dc.date.issued2019
dc.departmentBursa Teknik Üniversitesi
dc.descriptionUMSNH-CA-180 “Políticas Públicas y Negocios Internacionales”
dc.description.abstractThe objective focuses on the identification and development of behavior patterns in the activities of the individual in the organization on the disposition to acquire new competences that allow to generate the change, as well as the formal management of the acquired knowledge are necessary elements to generate the change of second order. In this work we propose a mechanism with cognitive and emotional elements that activate the declarative knowledge (explicit) that is developed from behavioral knowledge (tacit) through the OSAR model, the perceptron type training algorithm is implemented to classify the synaptic weights on the threshold of activation on the cognitive and emotional elements in causal relation with the elements of knowledge management, competence and availability to change. Thus, the neural network allows the generation of the synaptic weights matrix to predict the processes of structural change evaluation and the second order changes (SOC) in order to generate learning in the organization.
dc.description.abstractThe objective focuses on the identification and development of behavior patterns in the activities of the individual in the organization on the disposition to acquire new competences that allow to generate the change, as well as the formal management of the acquired knowledge are necessary elements to generate the change of second order. In this work we propose a mechanism with cognitive and emotional elements that activate the declarative knowledge (explicit) that is developed from behavioral knowledge (tacit) through the OSAR model, the perceptron type training algorithm is implemented to classify the synaptic weights on the threshold of activation on the cognitive and emotional elements in causal relation with the elements of knowledge management, competence and availability to change. Thus, the neural network allows the generation of the synaptic weights matrix to predict the processes of structural change evaluation and the second order changes (SOC) in order to generate learning in the organization.
dc.description.sponsorshipUMSNH
dc.identifier.endpage278
dc.identifier.issn2636-7645
dc.identifier.issn2636-7645
dc.identifier.issue3
dc.identifier.startpage256
dc.identifier.urihttps://hdl.handle.net/20.500.12885/3569
dc.identifier.volume2
dc.language.isoen
dc.publisherBursa Teknik Üniversitesi
dc.relation.ispartofAcademic Review of Humanities and Social Sciences
dc.relation.ispartofAcademic Review of Humanities and Social Sciences
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_DergiPark_20260207
dc.subjectOther Fields of Education
dc.subjectAlan Eğitimleri
dc.titleIDENTIFICATIONS OF ABSENT FACTORS TO GENERATE SECOND-ORDER CHANGES IN UNDERGRADUATE STUDENTS ABOUT THE FUTURE LABOR MARKET
dc.title.alternativeIDENTIFICATIONS OF ABSENT FACTORS TO GENERATE SECOND-ORDER CHANGES IN UNDERGRADUATE STUDENTS ABOUT THE FUTURE LABOR MARKET
dc.typeArticle

Dosyalar

Koleksiyon

Academic Review of Humanities and Social Sciences Koleksiyonu