5 resultados para Data Interpretation, Statistical

em Repositório digital da Fundação Getúlio Vargas - FGV


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The present research comprehends a case study, through which we analyzed the Programa de Implantação da Escola de Contas do Tribunal de Contas do Estado do Rio de Janeiro - Program of Implantation of the School of Public Finance of the Public Finance Court of the State of Rio de Janeiro - as a progressive educational strategy from the model of corporate university, considering the ten key components (steps) identified by Meister (1999) in his research. The qualitative approach has proved the most adequate for this study, as, regarding data interpretation and investigation process, the subjectivity of the researcher was taken into account, since he himself was designated to the Commission of Implantation of the School of Public Finance and is, presently, general Academic Coordinator of the Escola de Contas e Gestão (ECG) - School of Public Finance and Management, the main goal (product) of the mentioned program. As to the results, the study has shown that the Tribunal de Contas do Estado do Rio de Janeiro (TCE-RJ) has not equally emphasized the ten key components (steps) for the success in the construction of a corporate university, but none of them was neglected. Considering the way it presently works, it is also concluded that the ECG is relevant for the actuation of the TCE-RJ, but is not yet as connected to the performance as it should be. Fundamentally, the ECG still has to develop a personnel development system driven by personnel management through competences, performing a diagnosis of the essential organizational competences, mapping the existing ones, identifying the breaches and analyzing which of theses competences may be developed by means of their activities. Likewise, the ECG also needs to develop a methodology to assess the result as well as the impact of its activities. These circumstances, however, will be used to guide future studies and represent a new starting point.

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This work has as main objective the development of a key factors¿ model for the quality of Home Broker systems. An explanatory research was performed, based on a quantitative approach. To achieve this goal, some theoretical models of technology acceptance (TAM, TRA, TPB and IDT), reliability and quality of service were reviewed. It was proposed an extended key factors¿ model and developed a questionnaire, which was the research instrument used in this study. The questionnaire was applied over the Internet, from which was obtained a participation of 113 valid respondents, all of them users of Home Broker system. Once performed the data collection, statistical tests were used for the Factorial Analysis in order to achieve a definitive model. The key factors found were Perceived Usefulness, Perceived Ease of Use, Subjective Norms, Compatibility, Reliability and Relative Advantage. Some hypotheses from the model were also tested to investigate the relationship between the importance given to the factors and the resulting degree of satisfaction about quality of service. As a result of the study, a key factors¿ model for the quality of Home Broker systems was established, and identified that the factor Compatibility" has more explanatory power than the others."

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This paper presents a study carried out with customers with credit card of a large retailer to measure the risk of abandonment of a relationship, when this has already purchase history. Two activities are the most important in this study: the theoretical and methodological procedures. The first step was to the understanding of the problem, the importance of theme and the definition of search methods. The study brings a bibliographic survey comprising several authors and shows that the loyalty of customers is the basis that gives sustainability and profitability for organizations of various market segments, examines the satisfaction as the key to success for achievement and specially for the loyalty of customers. To perform this study were adjusted logistic-linear models and through the test Kolmogorov - Smirnov (KS) and the curve Receiver Operating Characteristic (ROC) selected the best model. Had been used cadastral and transactional data of 100,000 customers of credit card issuer, the software used was SPSS which is a modern system of data manipulation, statistical analysis and presentation graphics. In research, we identify the risk of each customer leave the product through a score.

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Este trabalho é um estudo sobre a organização do atendimento a excepcionais no Sistema Educacional Brasileiro, nas Secretarias de Educação e Cultura. Espera-se oferecer uma contribuição ao campo da Educação Especial, que se fundamenta em princípios filosóficos, hoje universais, de que todos têm igual direito à Educação. Na realidade educacional brasileira, constata-se que a execução desse direito não está ainda ao alcance de todos os excepcionais. A atual Estrutura e Funcionamento dos serviços de Educação Especial do País, entre outros fatores, não favorece ainda a universalização do atendimento, o estudo inicia-se por uma visão retrospectiva do que vem sendo feito no Brasil para sistematizar a educação dos excepcionais. Procurou-se também caracterizar a clientela e as estratégias de atendimento educacional adequadas. Com o objetivo de analisar a situação atual da organização da Educação Especial nas Secretarias de Educação do País, consideradas as características e necessidades dos educandos excepcionais, solicitaram-se aos Estados e Territórios informações sobre a Estrutura e Funcionamento dos órgãos responsáveis pela educação Especial. A interpretação dos dados, à luz do que técnica administrativa e filosoficamente se recomenda, conduz a algumas conclusões contidas neste trabalho.

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This paper uses an output oriented Data Envelopment Analysis (DEA) measure of technical efficiency to assess the technical efficiencies of the Brazilian banking system. Four approaches to estimation are compared in order to assess the significance of factors affecting inefficiency. These are nonparametric Analysis of Covariance, maximum likelihood using a family of exponential distributions, maximum likelihood using a family of truncated normal distributions, and the normal Tobit model. The sole focus of the paper is on a combined measure of output and the data analyzed refers to the year 2001. The factors of interest in the analysis and likely to affect efficiency are bank nature (multiple and commercial), bank type (credit, business, bursary and retail), bank size (large, medium, small and micro), bank control (private and public), bank origin (domestic and foreign), and non-performing loans. The latter is a measure of bank risk. All quantitative variables, including non-performing loans, are measured on a per employee basis. The best fits to the data are provided by the exponential family and the nonparametric Analysis of Covariance. The significance of a factor however varies according to the model fit although it can be said that there is some agreements between the best models. A highly significant association in all models fitted is observed only for nonperforming loans. The nonparametric Analysis of Covariance is more consistent with the inefficiency median responses observed for the qualitative factors. The findings of the analysis reinforce the significant association of the level of bank inefficiency, measured by DEA residuals, with the risk of bank failure.