Avaliação da performance organizacional e gestão estratégica no sector público; contributos para a construção de um balanced scorecard na Universidade de Évora: Trabalho de projecto

A Administração Pública tem sido alvo de uma reflexão sistemática, que pretende encontrar políticas de gestão que consigam solucionar os problemas de performance dos serviços públicos, evidenciando as suas potencialidades e procurando responder aos desafios com que se confrontam na atualidade. O fenómeno da globalização está na origem de acelerados ciclos de mudança que exigem das organizações urna gestão mais cativa e objetiva, alicerçada em métodos de gestão moderna que vão de encontro às exigências do mundo atual. Eficiência e eficácia dos serviços públicos são, mais do que nunca, duas imposições de uma sociedade crítica e carente de qualidade. A melhoria da performance do serviço público, mais do que urna necessidade, é uma exigência. Como responder a este desafio? Regra geral, os serviços públicos possuem urna fraca cultura de gestão estratégica, o que justifica parte da dificuldade que sentem em transformar a estratégia em objetivos operacionais, de forma a estabelecer ações que visem a obtenção de resultados, definindo medidas para a sua monitorização. O Balanced Scorecard (BSC) poderá contribuir para a implementação de uma cultura de gestão estratégica no Sector Público. A formulação dos objetivos estratégicos, das metas e dos indicadores, para cada uma das perspetivas subjacentes a esta metodologia, permite às organizações efetuarem uma gestão mais adequada dos sistemas que são objeto da sua acão. Este trabalho, partindo da identificação dos ajustamentos que é necessário efetuar ao modelo original de BSC de Kaplan e Norton, propõe um BSC adequado às Instituições de Ensino Superior Público (IESP) em geral e à Universidade de Évora em particular, assumindo-se que esse BSC poderá constituir uma importante ferramenta de gestão estratégica, essencial na avaliação e gestão da performance organizacional. ABSTRACT: The Public Administration has been the target of a systematic reflexion, who wish to find management policies that can resolve the performance problems on public services, showing their potential and aim to respond to the challenges they are facing today. The phenomenon of globalization is the cause of accelerated cycles of change that require organizations a more active and objective management, based on modern management methods that meet the demands of today’s world. Efficiency and effectiveness of public services are more than ever, two charges of a society criticism and lacking in quality. Improving the performance of public service, rather than a necessity is a requirement. How to respond to this challenge? Generally, the public services have a weak culture of strategic management, which explains part of the difficulty they feel in turning the strategy into operational objectives in order to establish measures aimed at achieving results, defining measures for its monitoring. The Balanced Scorecard can contribute to the implementation of a culture of strategic management in the Public Sector. The formulation of strategic objectives, targets and indicators for each of the perspectives that underlie this methodology enables organizations to make better management systems that are the subject of its action. This work, leaving from the identification of the adjustments that is necessary to effectuate to an original model of BSC of Kaplan and Norton, proposes a BSC appropriate to the Institutions of Superior Public Teaching (IESP) in general and to the University of Évora in individual, when are assumed that this BSC will be able to constitute an important tool of strategic, essential management in the evaluation and management of the organizational performance.

An Evaluative Model to Assess the Organizational Efficiency in Training Corporations

In an organisation any optimization process of its issues faces increasing challenges and requires new approaches to the organizational phenomenon. Indeed, in this work it is addressed the problematic of efficiency dynamics through intangible variables that may support a different view of the corporations. It focuses on the challenges that information management and the incorporation of context brings to competitiveness. Thus, in this work it is presented the analysis and development of an intelligent decision support system in terms of a formal agenda built on a Logic Programming based methodology to problem solving, complemented with an attitude to computing grounded on Artificial Neural Networks. The proposed model is in itself fairly precise, with an overall accuracy, sensitivity and specificity with values higher than 90 %. The proposed solution is indeed unique, catering for the explicit treatment of incomplete, unknown, or even self-contradictory information, either in a quantitative or qualitative arrangement.

Improving Bangla ocr output through correction algorithms

Bangla OCR (Optical Character Recognition) is a long deserving software for Bengali community all over the world. Numerous e efforts suggest that due to the inherent complex nature of Bangla alphabet and its word formation process development of high fidelity OCR producing a reasonably acceptable output still remains a challenge. One possible way of improvement is by using post processing of OCR’s output; algorithms such as Edit Distance and the use of n-grams statistical information have been used to rectify misspelled words in language processing. This work presents the first known approach to use these algorithms to replace misrecognized words produced by Bangla OCR. The assessment is made on a set of fifty documents written in Bangla script and uses a dictionary of 541,167 words. The proposed correction model can correct several words lowering the recognition error rate by 2.87% and 3.18% for the character based n- gram and edit distance algorithms respectively. The developed system suggests a list of 5 (five) alternatives for a misspelled word. It is found that in 33.82% cases, the correct word is the topmost suggestion of 5 words list for n-gram algorithm while using Edit distance algorithm the first word in the suggestion properly matches 36.31% of the cases. This work will ignite rooms of thoughts for possible improvements in character recognition endeavour.

Experiments on identification of argumentative sentences

The main purpose of this study is to evaluate the best set of features that automatically enables the identification of argumentative sentences from unstructured text. As corpus, we use case laws from the European Court of Human Rights (ECHR). Three kinds of experiments are conducted: Basic Experiments, Multi Feature Experiments and Tree Kernel Experiments. These experiments are basically categorized according to the type of features available in the corpus. The features are extracted from the corpus and Support Vector Machine (SVM) and Random Forest are the used as Machine learning algorithms. We achieved F1 score of 0.705 for identifying the argumentative sentences which is quite promising result and can be used as the basis for a general argument-mining framework.

Sensitivity analysis of parameters of a photovoltaic cell under different condition

A photovoltaic cell is a component which converts light energy into electrical energy. Different environmental parameters and internal parameters have a great impact on the output of the photovoltaic cell. To identify its characteristics and estimate the output, the well known Shockley diode equation is used. This equation contains all the parameters, as one environmental and different internal. The properties of these parameters were studied and their sensitivity have been analyzed through the use of an error function; this error function allows the study of the behaviour of the parameters and their characteristics against the output of the photovoltaic cell through the analysis of its curves giving the sensitivity of the different parameters to the output of the photovoltaic cell. Using these results the impact of the parameters of the photovoltaic cell has been clearly identified. White noise is included both with the ideal values and the simulation and the ideal value is imposed to get the real time environment flavor. This work analyses both systems with and without white noise.