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Geração de riqueza em empresas vencedoras do PNQ: uma análise usando o EVA
(Universidade Federal de São Carlos, 2010-12-21) Bassan, Heder; Martins, Roberto Antonio; https://lattes.cnpq.br/3518820028045730; https://lattes.cnpq.br/1917759961360095
The poor financial performance of some quality award winners in different countries arises the interest of researchers to investigate why that happened. The majority of this kind of investigations was carried out in United States and Western Europe. The most common performance measures were growth, profitability, market value, and customer satisfaction. In Brazil, there are few studies on this issue. This master thesis aims to analyze the value creation by National Brazilian Quality Award winners using Economic Value Added (EVA ) as the performance measure and comparing those values with competitors from the same economic sector. The application of EVA as performance measurement is a differential from other studies. The Brazilian database Economatica, financial websites, and companies websites were the main source of data. The data acquirement covered a period of time of ten (2000-2009). The parametric tests were applied to test the hypothesis. The main finding shows that the winner companies have increased the value creation to the shareholders after the awarding of National Brazilian Quality Award. Another main finding points out that the winner companies have increased the value creation in average to the shareholders more than the companies from the same economic sector after the awarding of National Brazilian Quality Award. It is important to highlight that before the awarding the studied companies were not creating more value to shareholders than the companies from the same economic sector.
Um estudo comparativo de modelos baseados em estatísticas textuais, grafos e aprendizado de máquina para sumarização automática de textos em português
(Universidade Federal de São Carlos, 2010-12-21) Leite, Daniel Saraiva; Rino, Lúcia Helena Machado; https://lattes.cnpq.br/0315640846525832; https://lattes.cnpq.br/4602931087864561
Automatic text summarization has been of great interest in Natural Language Processing due to the need of processing a huge amount of information in short time, which is usually delivered through distinct media. Thus, large-scale methods are of utmost importance for synthesizing and making access to information simpler. They aim at preserving relevant content of the sources with little or no human intervention. Building upon the extractive summarizer SuPor and focusing on texts in Portuguese, this MsC work aimed at exploring varied features for automatic summarization. Computational methods especially driven towards textual statistics, graphs and machine learning have been explored. A meaningful extension of the SuPor system has resulted from applying such methods and new summarization models have thus been delineated. These are based either on each of the three methodologies in isolation, or are hybrid. In this dissertation, they are generically named after the original SuPor as SuPor-2. All of them have been assessed by comparing them with each other or with other, well-known, automatic summarizers for texts in Portuguese. The intrinsic evaluation tasks have been carried out entirely automatically, aiming at the informativeness of the outputs, i.e., the automatic extracts. They have also been compared with other well-known automatic summarizers for Portuguese. SuPor-2 results show a meaningful improvement of some SuPor-2 variations. The most promising models may thus be made available in the future, for generic use. They may also be embedded as tools for varied Natural Language Processing purposes. They may even be useful for other related tasks, such as linguistic studies. Portability to other languages is possible by replacing the resources that are language-dependent, namely, lexicons, part-of-speech taggers and stop words lists. Models that are supervised have been so far trained on news corpora. In spite of that, training for other genres may be carried out by interested users using the very same interfaces supplied by the systems.
Cultura e responsabilidade social empresarial : uma análise das ações culturais de responsabilidade social empresarial - o caso da Petrobras e do grupo Votorantim
(Universidade Federal de São Carlos, 2010-12-21) Belem, Marcela Purini; Donadone, Julio César; https://lattes.cnpq.br/7643906508178259; https://lattes.cnpq.br/1162688517904699
This essay analyzes the interface between culture and corporate social responsibility, performing an analysis of the investment in Culture made by Petrobras and Grupo Votorantim. The aim of this paper is to analyze the interface between the financing of Culture and Corporate Social Responsibility. To accomplish this task, we analyzed two large national companies. Petrobras, as this is the company that most sponsors cultural projects in Brazil and Grupo Votorantim as counterpoint.