18 resultados para measuring productivity


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Hindawi Publishing Corporation Bioinorganic Chemistry and Applications Volume 2010, Article ID 634597, 8 pages

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Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores

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Dissertação para obtenção do Grau de Mestre em Engenharia do Ambiente, Perfil de Gestão e Sistemas Ambientais

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics

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RESUMO: A confiabilidade e qualidade dos resultados clínicos de um laboratório, estão dependentes da qualidade do equipamento onde estes são processados. A qualidade de um equipamento consiste em apresentar resultados com uma confiabilidade metrológica de acordo com os processos de medição realizados. Desta forma, os equipamentos de medição devem conter características metrológicas de acordo com os requisitos dos processos que estão inseridos, tais como: erro máximo, incerteza, resolução… Todos os equipamentos por muito bons que sejam, apresentam perdas das suas características metrológicas ao longo do tempo, o que se torna importante a determinação periódica das suas calibrações, manutenções e o seu respectivo ajuste. A periodicidade das calibrações, devem ser baseadas, em critérios bem estabelecidos de modo a evitar a ocorrência da não conformidade, devido às medições com os equipamentos fora das suas especificações, garantindo-se assim, a confiabilidade metrológica e o aumento da produtividade devido ao controlo dos processos, evitando-se desta forma qualquer tipo de avaria por parte destes. Os normativos de Qualidade e Certificação estabelecem como requisito a calibração dos equipamentos de medição em intervalos adequados, mas não definem claramente qual o intervalo adequado. O importante é gerir as etapas de calibração e manutenção de acordo com os equipamentos de modo a garantir que os resultados emitidos por estes sejam mantidos em condições confiáveis, dentro do período entre calibrações e manutenções, de modo a que nãoocorra uma condição de falha, e por conseguinte, medições com grande quantidade de erros.------------ ABSTRACT: The reliability and quality of the results of a clinical laboratory, are dependent on the quality of the equipment where they are processed. The quality of a product is to present results with a metrological reliability according to the measuring processes carried out. Thus, measuring equipment must contain metrological characteristics according to the requirements of the processes that are included, such as: maximum error, uncertainty, resolution ... All equipment for very good they are, show losses of its metrological characteristics over time, it becomes important to determine its periodic calibrations, maintenance and its adjustment. The frequency of calibrations should be based on well-established criteria in order to avoid the occurrence of non-compliance due to the measurements with the equipment beyond its specifications, thus ensuring the metrological reliability and increased productivity due to the control of processes, thus avoiding any kind of damage on the part thereof. The normative and Quality Certification as a requirement to establish calibration of measuring equipment at appropriate intervals, but not clearly stipulate the proper range. It is important to manage the steps of calibration and maintenance equipment according to ensure that the results emitted by these conditions are maintained in trusted within the period between calibrations and maintenance, sothat there occurs a fault condition, and therefore, large amount of measurements with errors.

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Dissertation presented to obtain the Ph.D degree in Molecular Biology

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

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Dissertação para obtenção do grau de Mestre em Ecologia, Gestão e Modelação dos Recursos Marinhos

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This thesis focus on the measurement and accounting of contributions received by nonprofit organizations, as they are a significant component of revenues nowadays. A survey was developed and forward to 38 different NPOs, with the goal of understanding their motivations and what advantages and disadvantages they believe would result if they start to measure and account for all kinds of contributions. They presented many advantages from this practice; however, some are not doing it due to the difficulties in valuing contributions with no market value which would require a higher workload, waste of resources and time to be taken from other important activities.

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Are return migrants more productive than non-migrants? If so, is it a causal effect or simply self-selection? Existing literature has not reached a consensus on the role of return migration for origin countries. To answer these research questions, an empirical analysis was performed based on household data collected in Cape Verde. One of the most common identification problems in the migration literature is the presence of migrant self-selection. In order to disentangle potential selection bias, we use instrumental variable estimation using variation provided by unemployment rates in migrant destination countries, which is compared with OLS and Nearest Neighbor Matching (NNM) methods. The results using the instrumental variable approach provide evidence of labour income gains due to return migration, while OLS underestimates the coefficient of interest. This bias points towards negative self-selection of return migrants on unobserved characteristics, although the different estimates cannot be distinguished statistically. Interestingly, migration duration and occupational changes after migration do not seem to influence post-migration income. There is weak evidence that return migrants from the United States have higher income gains caused by migration than the ones who returned from Portugal.

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Mutual fund managers increasingly lend their holdings and/or use short sales to generate higher returns for their funds. This project presents a first look into the impact these practices on performance using the performance measures: i) Characteristic Selectivity (CS), the ability of the fund's managers to choose stocks that outperform their benchmarks; ii) Characteristic Timing (CT), the ability of the manager to time the market; iii) and Average Style (AS), the returns from funds systematically holding stocks with certain characteristics. These returns are computed through the DGTW benchmarks. The effect of other variables that have also been shown to impact fund’s returns – total net assets under management, investment styles, turnover and expense ratios – will also be analyzed. I find that managers who use short-sales do not exhibit better stock picking abilities than those who do not, while mutual funds that lend do present higher CS returns. In addition, while lending is not significant for the total performance of a fund, the employment of short-sales and of both short-sales and lending has a negative impact on the fund’s performance.

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Many impact-seeking organisations cannot measure and demonstrate their social impact because they either lack technical expertise or requisite financial and human resources. This report clarifies the process of social impact measurement to help these organisations engage in social impact measurement practices. It presents a simple guideline to create a measurement approach based on the Tableau de Board. The guideline has been developed through a theoretical revision of best practices in social impact measurement, academic research and the author's individual thoughts and ideas. While a first testing of the approach revealed positive feedback, only future broad-scale testing will demonstrate the approach’s validity and feasibility.

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The aim of this article is to measure poverty in Portugal from an absolute perspective. We estimated several absolute poverty lines and defined maximum and minimum thresholds. We applied aggregation measures to these thresholds and constructed probit models to assess the effect of some variables on poverty. The intervals obtained contain the poverty lines constructed by other approaches. We got evidence that poverty is positively correlated with the number of people in the household, with living alone; negatively correlated with the number of workers in the household, the share on non-food expenditure and the existence of a heating device at home.