Life cycle management of TVO nuclear power plant

Tämä diplomityö tutkii eri elinkaarihallinnan menetelmiä ja vertaa niitä TVO:n menetelmiin. Lisäksi TVO:n prosessin ongelmakohdat tunnistetaan ja niihin esitetään ratkaisuja. Vertailukohteina toimii ydinvoimateollisuuden lisäksi vesivoima, fossiiliset voimalaitokset sekä paperiteollisuus. Sähkön hinnan jatkaessa laskuaan on elinkaariajattelusta tullut ajankohtaista myös ydinvoimayhtiöille. Ydinvoimalaitoksien pitkän suunnitellun käyttöiän ansiosta laitoksen elinkaaren aikana voi tapahtua useita asioita, jotka vaikuttavat laitoksen investointitarpeisiin. Turvallisen sähköntuotannon varmistamiseksi eri laitososia on joko muokattava tai uusittava. Elinkaariajatteluun kuuluu tehokas laitoksen kunnon valvonta, laitoksen ikääntymiseen vaikuttavien ilmiöiden tunnistaminen, sekä ikääntymistä hillitsevien toimenpiteiden pitkän tähtäimen suunnittelu. Hyvällä ennakkosuunnittelulla pyritään varmistamaan se, että laitoksella voidaan tuottaa sähköä koko sen jäljellä olevan käyttöiän aikana. Kun tarpeiden tunnistus ja suunnittelu tehdään hyvissä ajoin mahdollistetaan myös investointien optimointi. Paras hyöty pyritään saamaan ajoittamalla oikeat investoinnit oikeaan aikaan.

Optimal Budget-Constrained Sample Allocation for Selection Decisions with Multiple Uncertain Attributes

A decision-maker, when faced with a limited and fixed budget to collect data in support of a multiple attribute selection decision, must decide how many samples to observe from each alternative and attribute. This allocation decision is of particular importance when the information gained leads to uncertain estimates of the attribute values as with sample data collected from observations such as measurements, experimental evaluations, or simulation runs. For example, when the U.S. Department of Homeland Security must decide upon a radiation detection system to acquire, a number of performance attributes are of interest and must be measured in order to characterize each of the considered systems. We identified and evaluated several approaches to incorporate the uncertainty in the attribute value estimates into a normative model for a multiple attribute selection decision. Assuming an additive multiple attribute value model, we demonstrated the idea of propagating the attribute value uncertainty and describing the decision values for each alternative as probability distributions. These distributions were used to select an alternative. With the goal of maximizing the probability of correct selection we developed and evaluated, under several different sets of assumptions, procedures to allocate the fixed experimental budget across the multiple attributes and alternatives. Through a series of simulation studies, we compared the performance of these allocation procedures to the simple, but common, allocation procedure that distributed the sample budget equally across the alternatives and attributes. We found the allocation procedures that were developed based on the inclusion of decision-maker knowledge, such as knowledge of the decision model, outperformed those that neglected such information. Beginning with general knowledge of the attribute values provided by Bayesian prior distributions, and updating this knowledge with each observed sample, the sequential allocation procedure performed particularly well. These observations demonstrate that managing projects focused on a selection decision so that the decision modeling and the experimental planning are done jointly, rather than in isolation, can improve the overall selection results.

The Cost of Co-viability in the Australian Northern Prawn Fishery

Fisheries management must address multiple, often conflicting objectives in a highly uncertain context. In particular, while the bio-economic performance of trawl fisheries is subject to high levels of biological and economic uncertainty, the impact of trawling on broader biodiversity is also a major concern for their management. The purpose of this study is to propose an analytical framework to formally assess the trade-offs associated with balancing biological, economic and non-target species conservation objectives. We use the Australian Northern Prawn Fishery (NPF), which is one of the most valuable federally managed commercial fisheries in Australia, as a case study. We develop a stochastic co-viability assessment of the fishery under multiple management objectives. Results show that, due to the variability in the interactions between the fishery and the ecosystem, current management strategies are characterized by biological and economic risks. Results highlight the trade-offs between respecting biological, economic and non-target species conservation constraints at each point in time with a high probability and maximizing the net present value of the fishery.

Efeitos de um programa de reabilitação instituído a pessoas submetidas a artroplastia total da anca

Introdução: O aumento da esperança média de vida torna as pessoas mais vulneráveis e dependentes, especialmente no que se refere às atividades quotidianas. A coxartrose é uma das osteoartroses mais comuns, manifestada por dor, limitação progressiva da mobilidade articular e atrofia muscular. A artroplastia total da anca tem-se afirmado como alternativa eficaz e com sucesso ao longo do tempo. Hoje em dia, a necessidade de recuperação funcional após a cirurgia é irrefutável. Neste contexto, a reabilitação assume um papel primordial, quer na maximização das capacidades e minimização dos défices pós-cirúrgicos da pessoa, quer no restabelecimento da sua autonomia e consequente retorno à vida social e profissional. Objetivo: Avaliar os efeitos de um programa de reabilitação instituído a pessoas submetidas a artroplastia total da anca. Metodologia: Foi realizado um programa de reabilitação às pessoas submetidas a artroplastia total da anca, com início no primeiro dia de pós-operatório até à consulta pós-operatória, baseado em exercícios resistidos, a 28 pessoas. Avaliaram-se a força muscular (Lafayette manual muscle tester), a amplitude articular (goniometria), a escala de Tinetti e o questionário WOMAC. A colheita de dados foi realizada em três momentos (admissão – T0, alta – T1 e primeira consulta pós-cirurgia – T2). Resultados: Após o programa verificou-se uma melhoria substancial da qualidade de marcha e dos domínios do questionário WOMAC, até ao dia da consulta de ortopedia, que em média foi de 41 dias. A força muscular, quer força máxima quer força média, diminuiu ligeiramente em T1 e em T2 aumentou, exceto nos isquiotibiais em que existe um incremento em todas as avaliações. Verificou-se ainda que os resultados obtidos são independentes da idade, sexo e existência de cirurgia ortopédica anterior. Conclusão: Comprova-se que um programa de reabilitação que forneça as competências necessárias às pessoas, em que se conjugue reabilitação em ambiente hospitalar e domiciliário, é crucial para uma recuperação rápida e eficaz.

Estimating the demand curve for sustainable use of pesticides from contingent-valuation data

Stated-preference valuation techniques are often used to assess consumers' willingness-to-pay for food items produced in farming systems that adopt a sustainable use of pesticides (SUP). We propose an innovative valuation methodology in which dichotomous-choice contingent valuation is used to estimate the demand curve (price-quantity relationship) for such food items where price means price premium for the SUP output, quantity is the probability of choosing SUP and the conventional food product is kept available in the market at the current market price. This methodology can be used to evaluate market differentiation as a policy option to promote the SUP. The methodology is tested with data from a sample of urban consumers of fruits and vegetables in Portugal. The estimated demand curve is used to define the price level maximizing the total premium revenue for the SUP sector as a whole. This optimal level of the price premium is €77.55 (or 163% of the value of the monthly basket of fruits and vegetables at current prices). Adopting the optimal price premium will decrease the number of consumers of SUP food by 54%. The reduction is even higher for low income consumers (80%) leaving them more exposed to the risks of pesticide use.

Team characteristics beneficial for Open Innovation projects

This study discusses the importance of creating Open Innovation (OI) teams for optimizing costs of Research and Development (R&D), dividing risks and maximizing profits. The purpose of this study is to determine team characteristics beneficial for successful OI project, with the emphasis on the fact that such teams are formed of professionals belonging to different organizations, both private and state-owned, with different educational and professional backgrounds and personal qualities. This purpose is supported by three sub-objectives: to observe the phenomenon of OI and its implementation in emerging economies, particularly in Russia; to specify professional and personal competencies of OI team members essential for the successful collaboration; and to identify the role of the leader in OI teams. The theoretical part of this study consists of knowledge from academic literature related to OI, cross-functional and innovation teams and leadership in innovation. The practical part of the study is presented in the form of multiple case study, and the empirical research is based on six semistructured interviews collected in October 2014 from the CEOs, Innovation Managers and Technical Directors of innovation companies participating actively in OI projects. The findings of the study demonstrate that many of the necessary competencies are equal for innovation or cross-functional teams and OI teams, such as professionalism and communication skills. However, due to the specific nature of OI, additional personal characteristics were recognized as beneficial for OI teams, such as flexibility, empathy and success-orientation. The role of the leader is also considered as a critical success factor for OI teams, with the emphasis on flexibility and autonomy. The findings of the study contribute to understanding the connection between notions of team member, team climate and team leader, and its influence on OI project success. Thus, the main purpose of the study is providing support for existing knowledge on OI teams and developing new insights into this newly emerged topic.

Determinantes do bem-estar subjetivo na pessoa idosa

Introdução: O Bem-Estar Subjetivo, enquadrado no âmbito da intervenção da Psicologia positiva, refere-se à experiência individual e subjetiva da avaliação da vida, e inclui variáveis como a satisfação com a vida e a vivência de afetos positivos em detrimento dos afetos negativos. Considerando que o bem-estar subjetivo está associado à saúde e longevidade, o objetivo central deste estudo consiste em analisar o modo como determinadas variáveis de contexto sociodemográfico, familiar, clínico e psicossocial se revelam preditoras do bem-estar subjectivo em idosos institucionalizados versus não institucionalizados. Métodos: Realizou-se um estudo de natureza quantitativa, descritivo-correlacional e transversal, com recurso a uma amostra não probabilística, acidental e por conveniência, composta por 116 idosos, 58 não institucionalizados e 58 institucionalizados, maioritariamente do género feminino (60,3%), viúvos (42,3%), com uma média de idades de 77,73 anos (Dp=9,276). O instrumento de colheita de dados incorporou uma ficha de caraterização sociodemográfica, situacional, familiar (Escala de Apgar Familiar), clínico – funcional (Índice de Barthel) e a avaliação do Bem-Estar Subjetivo (Escala de Satisfação com a vida e a Escala de Afetos Positivos e Negativos). Resultados: Constatamos que, os idosos não institucionalizados apresentam níveis de BES mais elevados face aos idosos institucionalizados (p=0,023), com maior significância estatística na dimensão afetiva. Em relação aos determinantes do BES objetivou-se que, são os idosos “mais jovens” (p=0,015), do género masculino (p=0,000), com nível de escolaridade mais elevado (p=0,032), inseridos em famílias funcionais (p=0,010), que percecionam melhor estado de saúde (p=0,000) e que são mais autónomos na realização das suas ABVD’s (p=0,000) a apresentar níveis de bem-estar subjetivo mais elevado. Conclusão: As evidências encontradas neste estudo revelaram a existência de fatores determinantes na perceção do BES pela pessoa idosa daí a importância de planeamento e implementação de projetos direcionados à manutenção da autonomia, à diminuição das limitações, à maximização de potencialidades individuais, à promoção de relações interpessoais. Neste sentido, atendendo às competências do enfermeiro especialista de enfermagem de reabilitação, seria de extrema importância a incorporação deste profissional especializado nas Instituições e em equipas multidisciplinares de apoio a idosos na Comunidade. Palavras-chave: idoso, Bem – Estar Subjetivo, satisfação com a vida, afetos, determinantes.

Caracterización de señales sísmicas del Volcán Cotopaxi utilizando estimadores espectrales clásicos y de máxima entropía

Se presenta un estudio de detección y caracterización de eventos sísmicos del tipo volcano tectónicos y largo periodo de registros sísmicos generados por el volcán Cotopaxi. La estructura secuencial de detección propuesta permite en un registro sísmico maximizar la probabilidad de presencia de un evento y minimizar la ausencia de este. La detección se la realiza en el dominio del tiempo en cuasi tiempo real manteniendo una tasa constante de falsa alarma para posteriormente realizar un estudio del contenido espectral de los eventos mediante el uso de estimadores espectrales clásicos como el periodograma y paramétricos como el método de máxima entropía de Burg, logrando así, categorizar a los eventos detectados como volcano tectónicos, largo periodo y otros cuando no poseen características pertenecientes a los otros dos tipos como son los rayos.

Thermal and exergy analysis for evaluation and optimization of performance of cooling towers for fresh water and seawater

In this study, thermal, exergetic analysis and performance evaluation of seawater and fresh wet cooling tower and the effect of parameters on its performance is investigated. With using of energy and mass balance equations, experimental results, a mathematical model and EES code developed. Due to lack of fresh water, seawater cooling is interesting choice for future of cooling, so the effect of seawater in the range of 1gr/kg to 60gr/kg for salinity on the performance characteristics like air efficiency, water efficiency, output water temperature of cooling tower, flow of the exergy, and the exergy efficiency with comparison with fresh water examined. Decreasing of air efficiency about 3%, increasing of water efficiency about 1.5% are some of these effects. Moreover with formation of fouling the performance of cooling tower decreased about 15% which this phenomena and its effects like increase in output water temperature and tower excess volume has been showed and also accommodate with others work. Also optimization for minimizing cost, maximizing air efficiency, and minimizing exergy destruction has been done, results showed that optimization on minimizing the exergy destruction has been satisfy both minimization of the cost and the maximization of the air efficiency, although it will not necessarily permanent for all inputs and optimizations. Validation of this work is done by comparing computational results and experimental data which showed that the model have a good accuracy.

Ultrasound and microwave assisted extraction of ergosterol from Agaricus bisporus L.: optimization through response surface methodology

There is scientific evidence demonstrating the benefits of mushrooms ingestion due to their richness in bioactive compounds such as mycosterols, in particular ergosterol [I]. Agaricus bisporus L. is the most consumed mushroom worldwide presenting 90% of ergosterol in its sterol fraction [2]. Thus, it is an interesting matrix to obtain ergosterol, a molecule with a high commercial value. According to literature, ergosterol concentration can vary between 3 to 9 mg per g of dried mushroom. Nowadays, traditional methods such as maceration and Soxhlet extraction are being replaced by emerging methodologies such as ultrasound (UAE) and microwave assisted extraction (MAE) in order to decrease the used solvent amount, extraction time and, of course, increasing the extraction yield [2]. In the present work, A. bisporus was extracted varying several parameters relevant to UAE and MAE: UAE: solvent type (hexane and ethanol), ultrasound amplitude (50 - 100 %) and sonication time (5 min-15 min); MAE: solvent was fixed as ethanol, time (0-20 min), temperature (60-210 •c) and solid-liquid ratio (1-20 g!L). Moreover, in order to decrease the process complexity, the pertinence to apply a saponification step was evaluated. Response surface methodology was applied to generate mathematical models which allow maximizing and optimizing the response variables that influence the extraction of ergosterol. Concerning the UAE, ethanol proved to be the best solvent to achieve higher levels of ergosterol (671.5 ± 0.5 mg/100 g dw, at 75% amplitude for 15 min), once hexane was only able to extract 152.2 ± 0.2 mg/100 g dw, in the same conditions. Nevertheless, the hexane extract showed higher purity (11%) when compared with the ethanol counterpart ( 4% ). Furthermore, in the case of the ethanolic extract, the saponification step increased its purity to 21%, while for the hexane extract the purity was similar; in fact, hexane presents higher selectivity for the lipophilic compounds comparatively with ethanol. Regarding the MAE technique, the results showed that the optimal conditions (19 ± 3 min, 133 ± 12 •c and 1.6 ± 0.5 g!L) allowed higher ergosterol extraction levels (556 ± 26 mg/100 g dw). The values obtained with MAE are close to the ones obtained with conventional Soxhlet extraction (676 ± 3 mg/100 g dw) and UAE. Overall, UAE and MAE proved to he efficient technologies to maximize ergosterol extraction yields.

Developing smart services by Internet of Things in manufacturing business

Manufacturing companies have passed from selling uniquely tangible products to adopting a service-oriented approach to generate steady and continuous revenue streams. Nowadays, equipment and machine manufacturers possess technologies to track and analyze product-related data for obtaining relevant information from customers’ use towards the product after it is sold. The Internet of Things on Industrial environments will allow manufacturers to leverage lifecycle product traceability for innovating towards an information-driven services approach, commonly referred as “Smart Services”, for achieving improvements in support, maintenance and usage processes. The aim of this study is to conduct a literature review and empirical analysis to present a framework that describes a customer-oriented approach for developing information-driven services leveraged by the Internet of Things in manufacturing companies. The empirical study employed tools for the assessment of customer needs for analyzing the case company in terms of information requirements and digital needs. The literature review supported the empirical analysis with a deep research on product lifecycle traceability and digitalization of product-related services within manufacturing value chains. As well as the role of simulation-based technologies on supporting the “Smart Service” development process. The results obtained from the case company analysis show that the customers mainly demand information that allow them to monitor machine conditions, machine behavior on different geographical conditions, machine-implement interactions, and resource and energy consumption. Put simply, information outputs that allow them to increase machine productivity for maximizing yields, save time and optimize resources in the most sustainable way. Based on customer needs assessment, this study presents a framework to describe the initial phases of a “Smart Service” development process, considering the requirements of Smart Engineering methodologies.

Abordagem multimetodológica do impacto da mentoria e relações de ajuda no processo informal de employee branding: o efeito de marca de empregado

O processo de employee branding tem demonstrado promover e reforçar o contrato psicológico entre os colaboradores e a organização, pelo incremento e potenciação do sentimento de comprometimento e lealdade do colaborador de acordo com Miles e Mangold. Esta investigação foca-se no estudo do impacto da mentoria e relações de ajuda no processo de employee branding, numa visão integrada da gestão de recursos humanos e do comportamento organizacional, com base nas relações de troca do marketing do relacionamento numa perspetiva da gestão por competências e foco nas Pessoas. Com a introdução da nova variável (mentoria e relações de ajuda) esta investigação, ao enriquecer e incrementar o processo de employee branding de Miles e Mangold proposto em 2004 e 2005, apresenta a construção de um instrumento de diagnóstico do inovador processo de Efeito de Marca de Empregado. A investigação decorreu em 30 organizações, com um total de 725 questionários, que permitiu a validação e fiabilidade do instrumento, bem como demonstra através de métodos estatísticos a influência das ações de mentoria e relações de ajuda e da atuação das relações interpessoais que promovem o processo employee branding. Se o processo de employee branding já incrementava os resultados organizacionais, com esta investigação, pode-se afirmar que o processo de Efeito de Marca de Empregado não só incrementa como também impulsiona a imagem de marca da organização pela atuação dinâmica e catalisadora das relações interpessoais dos seus colaboradores, dentro e fora da organização, com a introdução e promoção de ações mentoria e relações de ajuda entre chefias e chefiados; ABSTRACT: The employee branding process has shown as to promote and strengthen the psychological contract between employees and the organization, by increasing and maximizing the sense of employees’ commitment and loyalty, according with Miles and Mangold. This research focuses on the impact of mentoring and helping relationships in the employee branding process, in an integrated view of human resources management and organizational behavior, based on the exchange ratio of the relationship marketing in a perspective of management by competencies and people focused approach. With the introduction of the new variable (mentoring and helping relationships), this research enriches and enhances the Miles and Mangold employee branding process proposed in 2004 and 2005 and presents the construction of an diagnostic instrument for the innovative process of Employee Brand Effect. This research took place in 30 organizations with a total of 725 questionnaires, which allowed the validation and reliability of the instrument and the evidence through statistical methods of the influence of mentoring and helping relationships actions and of the interaction of interpersonal relationships promoting the employee branding process. If the employee branding process was already boosting organizational results with this research, it can be stated that the Employee Brand Effect process not only increases, but also boosts the organization’s brand image by the actuation of the dynamics of employees’ interpersonal relationships, inside and outside the organization, with the introduction and promotion of mentoring and helping relationships actions between leaders and followers.

UNDERSTANDING CUSTOMER CHOICES IN SERVICE OUTSOURCING AND REVENUE MANAGEMENT

This dissertation investigates customer behavior modeling in service outsourcing and revenue management in the service sector (i.e., airline and hotel industries). In particular, it focuses on a common theme of improving firms’ strategic decisions through the understanding of customer preferences. Decisions concerning degrees of outsourcing, such as firms’ capacity choices, are important to performance outcomes. These choices are especially important in high-customer-contact services (e.g., airline industry) because of the characteristics of services: simultaneity of consumption and production, and intangibility and perishability of the offering. Essay 1 estimates how outsourcing affects customer choices and market share in the airline industry, and consequently the revenue implications from outsourcing. However, outsourcing decisions are typically endogenous. A firm may choose whether to outsource or not based on what a firm expects to be the best outcome. Essay 2 contributes to the literature by proposing a structural model which could capture a firm’s profit-maximizing decision-making behavior in a market. This makes possible the prediction of consequences (i.e., performance outcomes) of future strategic moves. Another emerging area in service operations management is revenue management. Choice-based revenue systems incorporate discrete choice models into traditional revenue management algorithms. To successfully implement a choice-based revenue system, it is necessary to estimate customer preferences as a valid input to optimization algorithms. The third essay investigates how to estimate customer preferences when part of the market is consistently unobserved. This issue is especially prominent in choice-based revenue management systems. Normally a firm only has its own observed purchases, while those customers who purchase from competitors or do not make purchases are unobserved. Most current estimation procedures depend on unrealistic assumptions about customer arriving. This study proposes a new estimation methodology, which does not require any prior knowledge about the customer arrival process and allows for arbitrary demand distributions. Compared with previous methods, this model performs superior when the true demand is highly variable.

The joint European Research Infrastructure Network for Coastal Observatories: Achievements and Strategy for the Future

This document is summarizing a major part of the work performed by the FP7-JERICO consortium, including 27 partner institutions, during 4 years (2011-2015). Its objective is to propose a strategy for the European coastal observation and monitoring. To do so we give an overview of the main achievements of the FP7-JERICO project. From this overview, gaps are analysed to draw some recommendations for the future. Overview, gaps and recommendation are addressed at both Hardware and Software levels of the JERICO Research Infrastructure. The main part of the document is built upon this analysis to outcome a general strategy for the future, giving priorities to be targeted and some possible funding mechanisms, but also upon discussions held in dedicated JERICO strategy workshops. This document was initiated in 2014 by the coordination team but considering the fact that an overview of the entire project and its achievement were needed to feed this strategy deliverable it couldn’t ended before the end of FP7-JERICO, April 2015. The preparation of the JERICO-NEXT proposal in summer 2014 to answer an H2020 call for proposals pushed the consortium ahead, fed deep thoughts about this strategy but the intention was to not propose a strategy only bounded by the JERICO-NEXT answer. Authors are conscious that writing JERICO-NEXT is even drawing a bias in the thoughts and they tried to be opened. Nevertheless, comments are always welcome to go farther ahead. Structure of the document The Chapter 3 introduces the need of sustained coastal observatories, from different point of view including a short description of the FP7-JERICO project. In Chapter 4, an analysis of the JERICO coastal observatory Hardware (platforms and sensors) in terms of Status at the end of JERICO, identified gaps and recommendations for further development is provided region by region. The main challenges that remain to be overcome is also summarized. Chapter 5 is dedicated the JERICO infrastructure Software (calibration, operation, quality assessment, data management) and the progress made through JERICO on harmonization of procedures and definition of best practices. Chapter 6 provides elements of a strategy towards sustainable and integrated coastal observations for Europe, drawing a roadmap for cost-effective scientific-based consolidation of the present infrastructure while maximizing the potential arising from JERICO in terms of innovation, wealth-creation, and business development. After reading the chapter 3, for who doesn’t know JERICO, any chapter can be read independently. More details are available in the JERICO final reports and its intermediate reports; all are available on the JERICO web site (www.jerico-FP7.eu) as well as any deliverable. Each chapter will list referring JERICO documents. A small bibliographic list is available at the end of this deliverable.

Satisfação Laboral e Compromisso Organizacional

O projeto realizou-se num contexto onde as organizações mantêm os funcionários conectados, motivados, e satisfeitos pessoal e profissionalmente, onde em companhia dos seus líderes, marcham em busca da tão desejada progressão organizacional, maximizando o lucro e minimizando os custos continuamente. Por este motivo, decidiu-se elaborar o projeto, cujo objetivo é avaliar/examinar duas variáveis, a Satisfação Laboral e o Compromisso Organizacional, destacando uma possível associação entre ambas. O universo em análise é a população da empresa angolana no sector da informação, empresa integrada no mercado angolano, cujo objeto de trabalho passa por recolher, tratar e distribuir a informação, nacional e internacionalmente. A mesma teve a amabilidade que disponibilizar os seus 172 colaboradores como amostra para fazer parte deste projeto. Para o estudo foram utilizadas metodologias quantitativas, aplicando-se dois questionários. O primeiro, de Warr, Cook e Wall referente a Satisfação Laboral, e o segundo, de Allen Meyer, refere-se ao Compromisso Organizacional, ambos previamente aprovados/certificados, e utilizados anteriormente com as referidas variáveis. Relativamente aos resultados, observou-se a existência de um impacto significativo entre a variável Satisfação Laboral e a variável Compromisso Organizacional; tento a primeira uma influência positiva sobre a segunda. Os resultados do estudo concluíram que os valores provenientes da correlação de Pearson (Tabela) demonstram o esperado, isto é, existe uma associação positiva com intensidade moderada, fortes e muito fortes (0.60 a 0.97) entre a variável Satisfação laboral Compromisso laboral.