5 resultados para Skills measurement
em Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco
Resumo:
[Es] Las habilidades sociales, o habilidades interpersonales, han sido objeto de creciente interés durante los últimos años en psicología social, clínica y educativa; y, sin embargo, tanto su evaluación como la intervención psicológica para su mejora se topan con una desconcertante proliferación de clasificaciones o categorías divergentes de las mismas. En este trabajo, y como resultado de sucesivos análisis factoriales, se proponen cinco grandes categorías de habilidades sociales (Interacción con personas desconocidas en situaciones de consumo, Interacción con personas que atraen, Interacción con amigos y compañeros, Interacción con familiares, y Hacer y rechazar peticiones a los amigos/as) que responden a distintos contextos de interacción social. Las cinco escalas, correspondientes a tales categorías, de un nuevo instrumento de medida, el Cuestionario de Dificultades Interpersonales (CDI), con alta consistencia interna (·= 0,896), explican el 47,47% de la varianza total. Los análisis correlacionales entre el CDI y el Test de Autoverbalizaciones en la Interacción Social (SISST) de Glass, Merluzzi, Biever y Larsen (1982) revelan diferencias cognitivas significativas entre los sujetos de alta y baja habilidad social, dándose una mayor frecuencia de autoverbalizaciones positivas y una menor frecuencia de autoverbalizaciones negativas en los sujetos de alta habilidad social que en los sujetos de baja habilidad social.
Resumo:
This paper analyzes the path of the international expansion of Grupo Arcor, an Argentine multinational company specializing in confectionery. The objective is to entify corporate strategies and business learning that led this Latin American firm to establish itself as one of the leading manufacturers in confectionery industry ,particularly in the 21st Century. The analysis is primarily qualitative in order to identify the economic dimension as a determinant in the internationalization process; a processbased approach from the Uppsala Model is used for this. However, the study is also complemented with a regression analysis to test if the firm was driven to expand internationally by the expectations on the degree of globalization of the industry and the accumulation of experience in foreign markets, and if the company was influenced by psychic distance in choosing the location of its investment; given the influence of these variables in Grupo Arcor business strategies. Our findings suggest that Grupo Arcor, was able to become global due to strategies such as vertical integration, diversification of products and geographical markets (based on psychic distance) and indeed some strategies were consequence of the globalization of the sector and the accumulation of experience in foreign markets.
Resumo:
250 p. + anexos
Resumo:
348 p.
Resumo:
Grinding is an advanced machining process for the manufacturing of valuable complex and accurate parts for high added value sectors such as aerospace, wind generation, etc. Due to the extremely severe conditions inside grinding machines, critical process variables such as part surface finish or grinding wheel wear cannot be easily and cheaply measured on-line. In this paper a virtual sensor for on-line monitoring of those variables is presented. The sensor is based on the modelling ability of Artificial Neural Networks (ANNs) for stochastic and non-linear processes such as grinding; the selected architecture is the Layer-Recurrent neural network. The sensor makes use of the relation between the variables to be measured and power consumption in the wheel spindle, which can be easily measured. A sensor calibration methodology is presented, and the levels of error that can be expected are discussed. Validation of the new sensor is carried out by comparing the sensor's results with actual measurements carried out in an industrial grinding machine. Results show excellent estimation performance for both wheel wear and surface roughness. In the case of wheel wear, the absolute error is within the range of microns (average value 32 mu m). In the case of surface finish, the absolute error is well below R-a 1 mu m (average value 0.32 mu m). The present approach can be easily generalized to other grinding operations.