3 resultados para Principal componente analysis
em Portal do Conhecimento - Ministerio do Ensino Superior Ciencia e Inovacao, Cape Verde
Resumo:
Esta pesquisa gira à volta da avaliação do desempenho organizacional com enfoque no sistema denominado Balanced Scorecard. Esta ferramenta, criada no início da década de noventa, por David Norton e Robert Kaplan, tem vindo a contagiar os gestores, e nos dias de hoje várias são as organizações que beneficiam dela para obter excelência. A primeira metodologia foi apresentada em mil novecentos e noventa e três (1993), constituída por oito etapas. No ano de mil novecentos e noventa e seis (1996), os autores desenvolveram uma nova metodologia, melhorada, composta por dez etapas. Começámos por fazer um levantamento teórico dos conceitos ligados a esta ferramenta, as suas vantagens e desvantagens, as fases da sua execução, os possíveis obstáculos ao seu sucesso e os frutos que poderão ser colhidos com a sua implementação. Através de uma proposta de implementação, escolhemos o Comando da 1ª Região Militar, para verificar quais serão os impactos na gestão desta organização. Do diagnóstico situacional efectuado com base em entrevistas, análise documental e observação, verificámos que a organização possui algumas insuficiências ao nível do desempenho de gestão, derivadas sobretudo da situação logística e financeira. Na construção do mapa estratégico, principal componente do Balanced scorecard, vimo-nos na necessidade de deslocar a perspectiva do cliente ou de mercado para o topo de configuração, devido à natureza do objecto negocial da organização em estudo. O modelo de avaliação de desempenho desenvolvido evidenciou a importância que a utilização deste sistema poderá ter na melhoria das actividades castrenses, sobretudo pelo aumento do nível de comunicação entre os subgrupos e a gestão de topo, neste caso, o Pessoal de Comando e as Pequenas Unidades, devido à natureza e qualidade das informações fornecidas pelo mapa estratégico. The aim of this study is to look at the organizational performance measurement system, with a special emphasis upon the so called Balanced Scorecard System. This tool, created at the beginning of the 1990’s by David Norton and Robert Kaplan, has been gaining the enthusiasm of administrator, and at the present time, several organizations are using it in the search for excellence. The first methodology was presented in 1993 and was formed by eight steps. In 1996, however, its creators developed an improved version of this methodology, now composed by ten steps. We start by doing a research of the theoretical concepts related to this tool, its advantages and disadvantages, the stages of its implementation, possible obstacles to its success, and the benefits that can come from its use. Based on an implementation proposal, we chose the First Military Command Region of Cape Verde to study the possible impacts of this system on the management of that Institution. From an investigation on the existent situation, based on interviews, analysis of documents and “in locus” observation, we realised that the institution shows some administrative insufficiencies, mainly due to its logistics and financial situation. In the building of the strategic map, the main component of the Balanced Scorecard System, we were obliged to move the perspective of the client or the market to the top of the configuration, because of the nature of the trading object of the institution being studied. The performance measurement model developed, clearly showed the importance that the implementation of this system might have on the improvement of the Military activities, mainly because of the improvement on the type of communication that can be established between the subgroups and the higher hierarchical levels, in this case, the Commander Staff and the lower Units, due to the type and quality of the information provided by the strategic map.
Resumo:
Cape Verde is a tropical oceanic ecosystem, highly fragmented and dispersed, with islands physically isolated by distance and depth. To understand how isolation affects the ecological variability in this archipelago, we conducted a research project on the community structure of the 18 commercially most important demersal fishes. An index of ecological distance based on species relative dominance (Di) is developed from Catch Per Unit Effort, derived from an extensive database of artisanal fisheries. Two ecological measures of distance between islands are calculated: at the species level, DDi, and at the community level, DD (sum of DDi). A physical isolation factor (Idb) combining distance (d) and bathymetry (b) is proposed. Covariance analysis shows that isolation factor is positively correlated with both DDi and DD, suggesting that Idb can be considered as an ecological isolation factor. The effect of Idb varies with season and species. This effect is stronger in summer (May to November), than in winter (December to April), which appears to be more unstable. Species react differently to Idb, independently of season. A principal component analysis on the monthly (DDi) for the 12 islands and the 18 species, complemented by an agglomerative hierarchical clustering, shows a geographic pattern of island organization, according to Idb. Results indicate that the ecological structure of demersal fish communities of Cape Verde archipelago, both in time and space, can be explained by a geographic isolation factor. The analytical approach used here is promising and could be tested in other archipelago systems.
Resumo:
The Cape Verde Archipelago location and its biogeographical features are of special interest for Marine Ecology. However, there’s a lack of knowledge regarding the composition of the coastal ecosystems in this region, especially about benthic macroinvertebrates subtidal communities. Between August and October of 2007, eight locations around the island of São Vicente were sampled. Within each of those spots, fragments of substratum were collected and throughout the processing of the collected data, a total of 4032 individuals were counted, which belong to 81 different species. Shannon’s Entropy and Gini-Simpson’s diversity index were calculated, as the real number of species each one represented. By comparing the results, differences between sampling stations and between indices within the same sampling station were found. With the purpose of clustering the sampled locations according to the number of collected organisms by species, a dendrogram was elaborated and a principal component analysis was carried out. The considered sampling stations didn’t reveal significant differences according to the composition of their benthic macroinvertebrates subtidal communities in terms of great taxonomic groups or functional groups. It’s assumed that they differ only by minute traits.