Avaliação do potencial do uso balanced scorecard: um estudo exploratório em Natal

Small businesses are experiencing growth scenario in emerging countries by the prospect of economic development, these countries, including Brazil, have a booming economy before the world crisis in the last five years, especially with the participation of small and medium enterprises. These factors generate increased competition and the need to expand market share through management actions in the quest for acquiring new customers. Moreover, these changes increase the need to properly use the information and organizational performance. Some national and international studies show the existence of peculiarities in small organizations, especially in environments of family management. Such particularities raise a scenario with several organizational deficiencies regarding the evaluation of their performance. In some cases, when there are static systems, traditional and focused only on the financial perspective, especially short term. Alternatively, the tools encourage strategic planning and observance of medium and long term, in many ways, whether financial, internal processes, customers, suppliers, and innovation, among others. Therefore, this study aims to identify and analyze the applicability of the system performance evaluation with emphasis on strategic and BSC - Balanced Scorecard. Regarding the research method, is classified as exploratory, with the participation of 25 companies, whose research was conducted between 2012 and 2013. Therefore, the research included the construction process and a structured questionnaire on practices and interest for the use of strategic tools, with emphasis on the Balanced Scorecard. Whose main result presented a high degree of interest in the applicability of the BSC by most of the participating institutions. Furthermore, It was observed the growing interest in using the Balanced Scorecard when it increases the company size, regardless of the area of market action. Participating companies have shown an outline of the strategic objectives and the establishment of indicators for assessing the performance due to their correlations with the BSC

Avaliação da eficiência dos investimentos do programa Inova-RN em micro e pequenas empresas Uma integração da análise envoltória de dados e índice Malmquist

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Contribuições a técnicas de agrupamento e visualização de dados multivariados utilizando mapas auto-organizáveis

Self-organizing maps (SOM) are artificial neural networks widely used in the data mining field, mainly because they constitute a dimensionality reduction technique given the fixed grid of neurons associated with the network. In order to properly the partition and visualize the SOM network, the various methods available in the literature must be applied in a post-processing stage, that consists of inferring, through its neurons, relevant characteristics of the data set. In general, such processing applied to the network neurons, instead of the entire database, reduces the computational costs due to vector quantization. This work proposes a post-processing of the SOM neurons in the input and output spaces, combining visualization techniques with algorithms based on gravitational forces and the search for the shortest path with the greatest reward. Such methods take into account the connection strength between neighbouring neurons and characteristics of pattern density and distances among neurons, both associated with the position that the neurons occupy in the data space after training the network. Thus, the goal consists of defining more clearly the arrangement of the clusters present in the data. Experiments were carried out so as to evaluate the proposed methods using various artificially generated data sets, as well as real world data sets. The results obtained were compared with those from a number of well-known methods existent in the literature