974 resultados para Universalização em telecomunicações
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O mercado de telecomunicações mundial, em geral e brasileiro em particular, passou por mudanças significativas ao longo dos últimos dez anos, tanto em âmbito concorrencial, como regulatório. O modelo de serviço único prestado por empresas distintas foi transformado pela convergência de indústrias, com a criação de novas ofertas e proposições de valor a partir de um portfólio diversificado e complementar de serviços aos consumidores. Estes fatos criaram para as empresas que operam no setor a necessidade de revisão de suas cadeias de valor para adequarem-se à nova dinâmica da indústria. Ainda que esse processo venha ocorrendo ao longo dos últimos anos, há poucos estudos que procurem endereçar os impactos para a realidade brasileira. O propósito desse trabalho é o de avaliar os efeitos para a configuração da cadeia de valor que a convergência de indústrias no setor de telecomunicações brasileiro trouxe para o estudo de caso. Para endereçar a resposta à pergunta de pesquisa, primeiro é conduzida uma revisão teórica sobre a definição do setor de TICs (FRANSMAN, 2010), a relação com a indústria de telecomunicações e os aspectos que marcam o caso brasileiro. Em segundo, é feita a revisão teórica para as definições constitutivas relacionadas à convergência de indústrias (HACKLIN, F. et al., 2009), cadeia de valor (PORTER, 1985) e rede de valor (PIL e HOLWEG, 2006; MÖLLER e RAJALA, 2007; PARTANEN e MÖLLER, 2012). A partir da constituição teórica e a análise dos dados qualitativos pretende-se aplicar os conceitos ao estudo de caso brasileiro e verificar se há alguma configuração da cadeia de valor que seja referência para melhor lidar com os efeitos da convergência de indústrias. Como ferramenta de coleta de dados serão feitas entrevistas para constituir os aspectos mais relevantes das mudanças causadas pela convergência de indústrias e entender as transformações consequentes para as cadeias de valor.
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A aproximação do término dos contratos de concessão do STFC demanda maior detalhamento das discussões acerca do modo de aplicação do instituto da reversibilidade de bens. Este artigo trata dos contornos da regra de reversão aplicável ao setor de telecomunicações, indicando os limites para e as ferramentas jurídicas para sua aplicação. Especificamente, postula-se que a Lei Geral de Telecomunicações e a Constituição Federal impossibilitam a adoção de uma leitura patrimonialista, sendo necessária a adoção de soluções contratuais com o propósito de viabilizar a reversão da posse dos bens reversíveis, em parcelas restritas àquelas estritamente indispensáveis à continuidade do STFC. The approaching term of the switched fixed telephony (STFC) concessions requires the discussions on asset reversibility to be held at a greater level of detail as to the characteristics of this legal concept. This paper outlines the asset reversibility rule applicable to the telecommunications sector and indicates the limits and legal tools for its implementation. Specifically, we argue that the Federal Constitution and the General Telecommunications Act do not allow for an interpretation centered on the estate in reversion (an interpretation we refer to as patrimonialista). Consequently, the implementation of this reversion rule should rely on contractual arrangements dealing with possessory rights over the assets which are essential for the continuous provision of STFC, or capacities thereof.
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Universidade da Madeira
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This study aims to understand the general model of governance of information technology adopted by telecommunication companies operating in Rio Grande do Norte. The research methodology used involved a theoretical and empirical approach prepared, involving two case studies on companies in the telecommunications industry working in the state of Rio Grande do Norte. The study covered the area of IT organizations, through interviews with managers responsible for the area of Telecommunications / IT. To study in accordance with the approach and address the problem of research, this study was based on qualitative criteria, which enabled the understanding of how companies adopt the governance of information technology. In conclusion, it was found that the governance practices of information technology employees are incipient, but that meet the needs of business and that they intend to implement in specific areas and use other practices of IT governance
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The objective of this work consists of considering a script so that operating companies in the telecommunications sector, mainly small and medium-sized enterprises, can reach excellency in its operations and get, thus, conditions to compete with companies consolidated in its niche of market. The proposal intends to lead the enterprises to a level of qualification of processes that to become them apt to adopt the Six Sigma method as part of its culture. From the analysis of the essential processes of the sector, methods and tools will be suggested for guarantee the continuous improvement of these processes, without forgetting the internal peculiarities of each company
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Nowadays, telecommunications is one of the most dynamic and strategic areas in the world. Organizations are always seeking to find new management practices within an ever increasing competitive environment where resources are getting scarce. In this scenario, data obtained from business and corporate processes have even greater importance, although this data is not yet adequately explored. Knowledge Discovery in Databases (KDD) appears then, as an option to allow the study of complex problems in different areas of management. This work proposes both a systematization of KDD activities using concepts from different methodologies, such as CRISP-DM, SEMMA and FAYYAD approaches and a study concerning the viability of multivariate regression analysis models to explain corporative telecommunications sales using performance indicators. Thus, statistical methods were outlined to analyze the effects of such indicators on the behavior of business productivity. According to business and standard statistical analysis, equations were defined and fit to their respective determination coefficients. Tests of hypotheses were also conducted on parameters with the purpose of validating the regression models. The results show that there is a relationship between these development indicators and the amount of sales
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This Master s Thesis proposes the application of Data Envelopment Analysis DEA to evaluate economies of scale and economies of scope in the performance of service teams involved with installation of data communication circuits, based on the study of a major telecommunication company in Brazil. Data was collected from the company s Operational Performance Division. Initial analysis of a data set, including nineteen installation teams, was performed considering input oriented methods. Subsequently, the need for restrictions on weights is analyzed using the Assurance Region method, checking for the existence of zero-valued weights. The resulting returns to scale are then verified. Further analyses using the Assurance Region Constant (AR-I-C) and Variable (AR-I-V) models verify the existence of variable, rather than constant, returns to scale. Therefore, all of the final comparisons use scores obtained through the AR-I-V model. In sequence, we verify if the system has economies of scope by analyzing the behavior of the scores in terms of individual or multiple outputs. Finally, conventional results, used by the company in study to evaluate team performance, are compared to those generated using the DEA methodology. The results presented here show that DEA is a useful methodology for assessing team performance and that it may contribute to improvements on the quality of the goal setting procedure.
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This Master s Thesis proposes the application of Data Envelopment Analysis DEA to evaluate the performance of sales teams, based on a study of their coverage areas. Data was collected from the company contracted to distribute the products in the state of Ceará. Analyses of thirteen sales coverage areas were performed considering first the output-oriented constant return to scale method (CCR-O), then this method with assurance region (AR-O-C) and finally the method of variable returns to scale with assurance region (AR-O-V). The method used in the first approach is shown to be inappropriate for this study, since it inconveniently generates zero-valued weights, allowing that an area under evaluation obtain the maximal score by not producing. Using weight restrictions, through the assurance region methods AR-O-C and AR-O-V, decreasing returns to scale are identified, meaning that the improvement in performance is not proportional to the size of the areas being analyzed. Observing data generated by the analysis, a study is carried out, aiming to design improvement goals for the inefficient areas. Complementing this study, GDP data for each area was compared with scores obtained using AR-O-V analysis. The results presented in this work show that DEA is a useful methodology for assessing sales team performance and that it may contribute to improvements on the quality of the management process.
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This dissertation describes the use of new Technologies of the Areas of Telecommunications, Networks and Industrial Automation for increase of the Operational Safety and obtaining of Operational Improvements in the Platforms Petroliferous Offshore. The presented solution represents the junction of several modules of these areas, making possible the Supervision and Contrai of the Platforms Petroliferous Offshore starting from an Station Onshore, in way similar to a remote contral, by virtue of the visualization possibility and audition of the operational area through cameras and microphones, looking the operator of the system to be "present" in the platform. This way, it diminishes the embarked people's need, increasing the Operational Safety. As consequence, we have the obtaining of Operational Improvements, by virtue of the use of a digital link of large band it releases multi-service. In this link traffic simultaneously digital signs of data (Ethernet Network), telephony (Phone VoIP), image and sound
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This paper presents an evaluative study about the effects of using a machine learning technique on the main features of a self-organizing and multiobjective genetic algorithm (GA). A typical GA can be seen as a search technique which is usually applied in problems involving no polynomial complexity. Originally, these algorithms were designed to create methods that seek acceptable solutions to problems where the global optimum is inaccessible or difficult to obtain. At first, the GAs considered only one evaluation function and a single objective optimization. Today, however, implementations that consider several optimization objectives simultaneously (multiobjective algorithms) are common, besides allowing the change of many components of the algorithm dynamically (self-organizing algorithms). At the same time, they are also common combinations of GAs with machine learning techniques to improve some of its characteristics of performance and use. In this work, a GA with a machine learning technique was analyzed and applied in a antenna design. We used a variant of bicubic interpolation technique, called 2D Spline, as machine learning technique to estimate the behavior of a dynamic fitness function, based on the knowledge obtained from a set of laboratory experiments. This fitness function is also called evaluation function and, it is responsible for determining the fitness degree of a candidate solution (individual), in relation to others in the same population. The algorithm can be applied in many areas, including in the field of telecommunications, as projects of antennas and frequency selective surfaces. In this particular work, the presented algorithm was developed to optimize the design of a microstrip antenna, usually used in wireless communication systems for application in Ultra-Wideband (UWB). The algorithm allowed the optimization of two variables of geometry antenna - the length (Ls) and width (Ws) a slit in the ground plane with respect to three objectives: radiated signal bandwidth, return loss and central frequency deviation. These two dimensions (Ws and Ls) are used as variables in three different interpolation functions, one Spline for each optimization objective, to compose a multiobjective and aggregate fitness function. The final result proposed by the algorithm was compared with the simulation program result and the measured result of a physical prototype of the antenna built in the laboratory. In the present study, the algorithm was analyzed with respect to their success degree in relation to four important characteristics of a self-organizing multiobjective GA: performance, flexibility, scalability and accuracy. At the end of the study, it was observed a time increase in algorithm execution in comparison to a common GA, due to the time required for the machine learning process. On the plus side, we notice a sensitive gain with respect to flexibility and accuracy of results, and a prosperous path that indicates directions to the algorithm to allow the optimization problems with "η" variables
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The deficit of water and sewerage services is a historic problem in Brazil. The introduction of a new regulatory framework, in 2007, presented ways intending to overcome these deficits, among them, the providers efficiency improvement. This thesis aims to analyze the regulators performance regarding its ability to induce the efficiency of the Brazilian water and sewerage services providers. To this end, an analytical approach based on a sequential explanatory strategy was used, and it consists of three steps. In the first step, the Data Envelopment Analysis ( DEA ) was used to measure the providers efficiency in 2006 and 2011. The results show that the average efficiency may be considered high; however significant inefficiencies among the 29 analyzed providers were detected. The ones in the Southeast region showed better performance level and Northeast had the lowest. The local and the private providers were more efficient on average. In 2006 and 2011 the average performance was higher among non-regulated providers. In 2006 the group regulated by local agencies had the best average performance, in 2011, the best performance was the group regulated by the consortium agencies. To analyse the second step was used the Malmquist Index, it pointed that the productivity between 2006 and 2011 dropped. The analysis through decomposing Malmquist Index showed a shift of technical efficiency frontier to a lower level, however was detected a small provider s advance towards the frontier. Only the Midwest region recorded progress in overall productivity. The deterioration in the total factor productivity was higher among regional providers but the local ones and the private agencies moved quickly to the frontier level. The providers regulated from 2007 showed less decrease on the total productivity and the results of the catch up effect were more meaningful. In the last step, the regulators standardization activity analyses noted that there are agencies that had not issued rules until 2011. The most standards topics discussed in the issued rules were the tariff adjustments and the setting of general conditions for the provision and use of services; in another hand, the least covered topics were new technologies incentive and the introduction of efficiency-inducing regulatory mechanisms and productivity gains for price reviews. Regulators created from 2007 were more active proportionately. Even with the advent of the regulatory framework and the creation of new regulatory bodies, the evidence points to a reality in which the actions of these agencies have not been ensuring that providers of water and sewage, regulated by them, has achieved better performance. The non- achievement of regulatory goals can be explained by the incipient level of performance of the Brazilian regulatory authorities, which should be strengthened because of its potential contribution to the Brazilian basic sanitation department