IDENTIFICATIONS OF ABSENT FACTORS TO GENERATE SECOND-ORDER CHANGES IN UNDERGRADUATE STUDENTS ABOUT THE FUTURE LABOR MARKET
Küçük Resim Yok
Tarih
2019
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Bursa Teknik Üniversitesi
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
The 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.
The 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.
The 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.
Açıklama
UMSNH-CA-180 “Políticas Públicas y Negocios Internacionales”
Anahtar Kelimeler
Other Fields of Education, Alan Eğitimleri
Kaynak
Academic Review of Humanities and Social Sciences
Academic Review of Humanities and Social Sciences
Academic Review of Humanities and Social Sciences
WoS Q Değeri
Scopus Q Değeri
Cilt
2
Sayı
3
