14 resultados para Índice de gestão descentralizada (IGD-M)

em Universidade Federal do Rio Grande do Norte(UFRN)


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Study about environment education public policies, emphasizing the directress since the 1970 . It analyses the environment education administration of Mossoró city, indentifying its articulation with the international directresses and the Environment Education National Policy (PNEA), established according the law number 9.795/99. The text takes as empiric reference the Environment Education National Policy (PNEA) of Mossoró city, realized since 2006. In order to make the research, we employed as methodologic proceedings a bibliographical and documental revision from wich we developed a contextualization of the propolsals toward a environment Education policy and administration, the institution of the environment Education in Brazil, in the neoliberal context on the State reform ambit. We also employed a semi-structured interview, having as individuals two Environment Education Municipal Program Administration of Mossoró city / RN state administrators and nine Municipal Education System educators. The analysis was done from the historic and dialetic perspective, trying to understand the facts in its totallity. The results revealed that the environment Education has become to be emphasize as an environment crises superation strategy since the 1970 s. In this context, the environment Education administration directress, in the United Nations (UN) initiative ambit, emphasizes the participation and the partnership as a way to share responsabilities between the State and society. In the neoliberalism affirmation context, in the 1990 s, these directresses were fortified, once, since the State reform, their functions were redimensioned and the State turns into a stronger planner an controller, inducing the society to act as a public polcies executor. Therewith, a deconcentration action process is consolidated, rather than an administrative and pedagocgic decentralization, historically revendicated on Education by the progressist sectors. Even though the administrators interviewed have revealed the wish that the schools become autonomous on the PMEA execution, through the NEAs, we notice that the methods employed do not contribute to that, because of the decisions concentration on the associated managership ambit and the few human and financial resources. In spite of the difficulties, the research showed that the Mossoró municipality innovated on the environment Education field, by the institution of the NEAs, even though they demonstrate fragilities regarding their performance, revealed on the educators and adiminstration talk on the interviews. We verify that the main difficulties come from the politc culture installed on the municipality, ruled by a technocracy and power concentration wich brings difficulties to the implementation of a democratic and participative administration, even though it would not be totally impossible, even on the circumstances described

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MATOS FILHO, João. A descentralização das Políticas de desenvolvimento rural - uma análise da experiência do Rio Grande do Norte. 2002. 259f. Tese (Doutorado em Ciências Econômicas)– Instituto de Economia da Universidade Estadual de Campinas, Campinas, 2002.

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MATOS FILHO, João. A descentralização das Políticas de desenvolvimento rural - uma análise da experiência do Rio Grande do Norte. 2002. 259f. Tese (Doutorado em Ciências Econômicas)– Instituto de Economia da Universidade Estadual de Campinas, Campinas, 2002.

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Forecast is the basis for making strategic, tactical and operational business decisions. In financial economics, several techniques have been used to predict the behavior of assets over the past decades.Thus, there are several methods to assist in the task of time series forecasting, however, conventional modeling techniques such as statistical models and those based on theoretical mathematical models have produced unsatisfactory predictions, increasing the number of studies in more advanced methods of prediction. Among these, the Artificial Neural Networks (ANN) are a relatively new and promising method for predicting business that shows a technique that has caused much interest in the financial environment and has been used successfully in a wide variety of financial modeling systems applications, in many cases proving its superiority over the statistical models ARIMA-GARCH. In this context, this study aimed to examine whether the ANNs are a more appropriate method for predicting the behavior of Indices in Capital Markets than the traditional methods of time series analysis. For this purpose we developed an quantitative study, from financial economic indices, and developed two models of RNA-type feedfoward supervised learning, whose structures consisted of 20 data in the input layer, 90 neurons in one hidden layer and one given as the output layer (Ibovespa). These models used backpropagation, an input activation function based on the tangent sigmoid and a linear output function. Since the aim of analyzing the adherence of the Method of Artificial Neural Networks to carry out predictions of the Ibovespa, we chose to perform this analysis by comparing results between this and Time Series Predictive Model GARCH, developing a GARCH model (1.1).Once applied both methods (ANN and GARCH) we conducted the results' analysis by comparing the results of the forecast with the historical data and by studying the forecast errors by the MSE, RMSE, MAE, Standard Deviation, the Theil's U and forecasting encompassing tests. It was found that the models developed by means of ANNs had lower MSE, RMSE and MAE than the GARCH (1,1) model and Theil U test indicated that the three models have smaller errors than those of a naïve forecast. Although the ANN based on returns have lower precision indicator values than those of ANN based on prices, the forecast encompassing test rejected the hypothesis that this model is better than that, indicating that the ANN models have a similar level of accuracy . It was concluded that for the data series studied the ANN models show a more appropriate Ibovespa forecasting than the traditional models of time series, represented by the GARCH model

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The democratic management is a challenge for education, on the one hand for its actualization needs a link between the government and the educational institution. From that, research aims to understand the main challenges faced by the school administration to consolidate the management of public schools in Natal/RN. Against this context the methodology used was multiple cases, qualitative approach in which respondent were manager (director, deputy director and coordinator) of the four municipal schools and two representatives of the Democratic Management Commission of a Government departament of Education, Natal/RN. The analysis was made by peers, between schools that had grade superior IDEB that average stipulated by the federal government and two that had grade lower and between managers and representatives of the Secretary. Were used techniques of categorization and content analysis of the speeches of respondents. Was note that managers understand the importance of the participation about whole community in the democratic management, however only one school highlighted means of attracting the parents against to the difficulty of representing these. The lack of knowledge about the democratic management is evident mainly in the pair of schools with lower IDEB. That schools with a lower IDEB adhere to this management as a way to meet rules. So unanimous, the broad role of director hampers knowledge about the legislation. About relationship of the Government department with managers, there are some contradictions between the understanding of the role of the coordinator by managers and representatives of the Government department. It was perceptible the no uniformity about a good relationship between managers and Government department. It was notable features of democratic management in all school units, well as the efforts of the Government department in this scope. However there are also undemocratic features that deserve further study

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The competition in the telecommunications industry has grown in Brazil since the privatization, forcing companies that are active in the market to a growing commitment to quality products and services in order to survive. In this context, this work aims to understand the main factors that influence the degree of satisfaction exists in respect of a mobile operator with its corporate customers. The research covered theoretical concepts and analytical models of quality management system and models of indices related to the measurement of customer satisfaction. For the field research was carried out in a practical application of the main approaches based on this thesis by a case study in corporate segment, through a questionnaire applied to 10 consultants and 40 corporate customers of that company. Comparing the results of research with the consultants and corporate clients there is the concern of respondents to the indicators that comprise the constructs of customer satisfaction, commitment calculated, the price index and the handling of complaints, denoting the dissatisfaction of the general assessment for corporate customers with the carrier, against its current expectations. It is concluded that the mobile operator of the telecommunications industry have a big challenge, after ten years of privatization and consequently the period of rapid expansion of customer base and with the depleted, retain corporate customers as highly strategic, thus avoiding that migrate to other companies. We emphasize the need for further research and analysis of different approaches through research and using the same models to specifically evaluate and measure customer satisfaction of mobile enterprise, to adjust the model to the national market. Finally, we suggest the creation of an effective customer loyalty program with a strategy of relationship and specific to the corporate sector of mobile telephony

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This Thesis presents a contribution to the study of models of customer satisfaction, analyzing the relationship between construct satisfaction and its antecedents and consequences, carrying through a survey with tourists who live in states of northeast region, had used to travel by bus or their own car and used hotel of Natal in the period from march to june at 2004. The theory research is focused in concepts of customer satisfaction and loyalty, quality management system models and customer satisfaction measurement index models. For the field survey was applied a model with questions based on the norwegian customer satisfaction barometer - NCSB considered for Johnson et al., 2001 with 92 tourists. The results gotten for the multiple regression evidence that tourist satisfaction with respect to the hotel suffer fort influences of six drivers of quality and complaints management. However the factors that influencing tourist loyalty with hotel are affective commitment, satisfaction with the hotel and the complaints management

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The objective of this thesis was studying the factors which contribute to customer s satisfaction and loyalty, focusing the Norwegian model of satisfaction and loyalty of the consumer, applied in the sector of hotel services in Natal/RN, Brazil. The theoretical research was led through the concepts of service quality, customer satisfaction and loyalty, models of quality management systems, national index of customer s satisfaction and methods which evaluate the customer s satisfaction. The field research was carried through from December 1st of 2004 to 24 st, among 381 international tourists who had been housed in the hotels of Natal. The analyses of the data had been made through the descriptive statistics and analysis of multiple regression. The results had evidenced that the main precedents variables of satisfaction had been: hotel s room, staff friendliness, hotel restaurant food and price paid; these are factors which explained, in 56,0% the variation of satisfaction with hotels. In relation to the constructs which had influenced the tourist s loyalty, were founds: tourist s satisfaction, hotel image and affective commitment, which had explained 53.0% of the data variability. The complaint management resulted as a basic factor for the tourist s satisfaction and loyalty

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This Thesis deals with a study on customer satisfaction and loyalty focusing on a model of factors antecedents of customer satisfaction and loyalty. The model is based on a Satisfaction Index model adopted in Norway developed by Johnson et al.(2001) and the service quality drivers from the literature. It is surveyed a sample of tourist in Natal. It is used a survey questionnaire applied at the airport in the departure moment of the tourist. The final sample results on 198 cases. Is is used a multiple regression analysis as the method to verify the factor affecting satisfaction and loyalty. Two models arise from the analysis. The first model concerning satisfaction results with cleaness and hygiene of the bathroom, leisure facilities, employees promptness, and price as the significant factors affecting satisfaction. The model has a R2 of 0.6430 and the also check in service, cleaness of the apartment and the hotel in general, bedroom setting have colinearity with some factors entering the model. The loyalty model results with satisfaction, affective commitment as the main factors affecting loyalty, with a R2 0.5396, and also image has collinearity with satisfaction. A small part of the sample has complained and this factor was not considered in the models. The results are consistent with the literature in term of quality as the main driver of the satisfaction and that it is not the only one factor to explain loyalty

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The water being vital natural resource and factor of economic and social development requires effective management and protection by the State. This thesis examines the panorama of National Water Resources Policy and the establishment of an effectively integrated management, shared and participative, contextualizing the principles foreseen in the policy. The work is focused on the discussion of public policies of access to water, analyzing the Fresh Water Program in semi-arid region of Brazil as a strategy of coexistence and permanence of a public policy that ensures the priority use, which is for human consumption. The conceptual framework of this study relies primarily on the contributions of authors in the field recognized as governance and water management. A study on the process of implementation of the various "institutions and policies" related to water management was promoted, contextualizing the change of paradigm in the transition from the centralized model to the one that takes into account the social participation, opening in this way broader perspectives for the analysis of the contents and of the impacts of these policies. The development of this study was conducted by the follow-up – both face-to-face as documentary-field – of the activities carried out while consultant of the Fresh Water Program. The history of water management in the semi-arid region was studied, depicting conflict movements and cooperation among actors. Despite the great obstacles to accomplish the shared and decentralized management, the study of this thesis points to a gradual improvement in the formulation of public policies that take into consideration governance and participatory management of water resources, with positive prospects towards the implementation of coordinated and cooperative actions in the region that mainly suffers from the shortage of rainfall, hence of shortage of water for irrigation and human consumption

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To contribute in the performance of policies and strategies formulated by development agencies, indexes have been created in anticipation of expressing the multiple dimensions of water resources in an easily interpretable form. Use of Hydro Poverty Index ( WPI) is spreading worldwide , with the same formed by the combination of sub - indices Resource, access, capacity , use and environment. S ome critics a s to its formation have emerged, a mong them stands out the allo cation of weights of sub - indexes , made by an arbitrary process attributing subjectivity to the selection criteria. By involving statistical analysis, when considering the characteristics of the variables generated by the Principal Component Analysis (PCA), it turns out that it is able to solve this problem. The objective of this study is to compare the results of the original WPI with content generated by Principal Com ponent Analysis (PCA) for the indicati on of the weights of sub - indec es applicable in the Seridó River hydrographic Basin . We conclude that the use of Principal Component Analysis in the allocation of weights of Water Poverty Index has identified the sub - indices Resources, Access and Environment are the most representative for the river basin Seridó , and that this new index, WPI' , presented the most comprehensive ranges of values , allowing more easily identify disparities among municipalities. In addition, t he evaluation of the sub - indec es in the study area has great potential to inform the decision - maker in the management of water resources, the most critical locations and deserve greater investments in the aspects analyzed, as the index itself can not cap ture this information.

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Forecast is the basis for making strategic, tactical and operational business decisions. In financial economics, several techniques have been used to predict the behavior of assets over the past decades.Thus, there are several methods to assist in the task of time series forecasting, however, conventional modeling techniques such as statistical models and those based on theoretical mathematical models have produced unsatisfactory predictions, increasing the number of studies in more advanced methods of prediction. Among these, the Artificial Neural Networks (ANN) are a relatively new and promising method for predicting business that shows a technique that has caused much interest in the financial environment and has been used successfully in a wide variety of financial modeling systems applications, in many cases proving its superiority over the statistical models ARIMA-GARCH. In this context, this study aimed to examine whether the ANNs are a more appropriate method for predicting the behavior of Indices in Capital Markets than the traditional methods of time series analysis. For this purpose we developed an quantitative study, from financial economic indices, and developed two models of RNA-type feedfoward supervised learning, whose structures consisted of 20 data in the input layer, 90 neurons in one hidden layer and one given as the output layer (Ibovespa). These models used backpropagation, an input activation function based on the tangent sigmoid and a linear output function. Since the aim of analyzing the adherence of the Method of Artificial Neural Networks to carry out predictions of the Ibovespa, we chose to perform this analysis by comparing results between this and Time Series Predictive Model GARCH, developing a GARCH model (1.1).Once applied both methods (ANN and GARCH) we conducted the results' analysis by comparing the results of the forecast with the historical data and by studying the forecast errors by the MSE, RMSE, MAE, Standard Deviation, the Theil's U and forecasting encompassing tests. It was found that the models developed by means of ANNs had lower MSE, RMSE and MAE than the GARCH (1,1) model and Theil U test indicated that the three models have smaller errors than those of a naïve forecast. Although the ANN based on returns have lower precision indicator values than those of ANN based on prices, the forecast encompassing test rejected the hypothesis that this model is better than that, indicating that the ANN models have a similar level of accuracy . It was concluded that for the data series studied the ANN models show a more appropriate Ibovespa forecasting than the traditional models of time series, represented by the GARCH model

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The democratic management is a challenge for education, on the one hand for its actualization needs a link between the government and the educational institution. From that, research aims to understand the main challenges faced by the school administration to consolidate the management of public schools in Natal/RN. Against this context the methodology used was multiple cases, qualitative approach in which respondent were manager (director, deputy director and coordinator) of the four municipal schools and two representatives of the Democratic Management Commission of a Government departament of Education, Natal/RN. The analysis was made by peers, between schools that had grade superior IDEB that average stipulated by the federal government and two that had grade lower and between managers and representatives of the Secretary. Were used techniques of categorization and content analysis of the speeches of respondents. Was note that managers understand the importance of the participation about whole community in the democratic management, however only one school highlighted means of attracting the parents against to the difficulty of representing these. The lack of knowledge about the democratic management is evident mainly in the pair of schools with lower IDEB. That schools with a lower IDEB adhere to this management as a way to meet rules. So unanimous, the broad role of director hampers knowledge about the legislation. About relationship of the Government department with managers, there are some contradictions between the understanding of the role of the coordinator by managers and representatives of the Government department. It was perceptible the no uniformity about a good relationship between managers and Government department. It was notable features of democratic management in all school units, well as the efforts of the Government department in this scope. However there are also undemocratic features that deserve further study