Sex timmars arbetsdag –ett modigt beslut : För att bli en attraktiv arbetsgivare

I studien undersöks hur arbetstagarnas arbetstillfredsställelse förändrats vis en arbetstidsförkortning. Arbetstidsförkortningens art är i form av en övergång ifrån åtta timmars arbetsdag till sex timmars arbetsdag med bibehållen heltidslön. Studien har genomförts vid ett mindre privat tjänsteföretag. Studiens syfte är att undersöka hur denna typ av arbetstidsförkortning förhåller sig till arbetstagarnas arbetstillfredsställelse och därmed öka förståelsen för de båda fenomenen. Det framkommer att arbetstagarnas arbetstillfredsställelse har förändrats sedan arbetstidsförkortningen. Gällande enskilda faktorer i arbetet har somliga faktorer minskat medan somliga faktorer ökat. I diskussionen framkommer att det föreligger en risk för ohälsa för arbetstagarna då det råder brist på stöd, minskad kontroll och ökade krav sedan arbetstidsförkortningen införts. Den föreliggande risken för ohälsa kan dock ses som acceptabel med tanke på den varierande arbetsbelastningen vilket innebär att arbetstagarna under perioder får tid för återhämtning. Trots omständigheterna råder en hög global arbetstillfredsställelse vilket i sin tur borde innebära att teorierna som brukats innehåller vissa brister då hänsyn till svängningar i arbetsbelastningen inte tagits. I resultatanalysen framkom tre teman vilka sågs relevanta för arbetstagarna och dess arbetstillfredsställelse. Dessa teman bestod av förändringar i relationer, förändringar i arbetet och förändringar i belöningar. Den teoretiska referensramen för studien innehåller förväntningsteorin, tvåfaktor teorin, kravkontroll- stödmodellen samt ansträngning- belöning- obalansmodellen. Datainsamling har skett med hjälp av fyra semistrukturerade intervjuer då respondenterna bestått av arbetstagare på det valda fallet som studerats. Studien är uppbyggt efter kvalitativ metod och har en fenomenologisk ansats. Studien har utformats i form av en fallstudie.

Den offentliga sektorns komplexa adaptiva system : En kvalitativ studie om medarbetarpolicys i praktiken

Intresset för hur HR och ledning kan påverka medarbetarnas beteendemönster och den sociala strukturen inom organisationer har gett upphov till denna undersökning. Med utgångspunkt i teorier om komplexa adaptiva system som perspektiv har jag försökt fånga medarbetarnas förutsättningar att nå organisationers vision och därmed förverkliga medarbetarpolicyn i praktiken. Tillsammans med kontaktpersoner från den undersökta kommunen har jag gjort en djupdykning i en offentlig organisation i syfte att förklara byråkratins inverkan på beteendemönstret hos medarbetarna och hur de tillsammans skapar en social struktur vilken speglar organisationens vision. Syftet med studien är att undersöka hur det adaptiva systemet fungerar i en byråkratisk organisation och vad det betyder för medarbetarnas möjligheter att förverkliga organisationens vision och medarbetarpolicy. Undersökningen har genomförts på en socialförvaltning i en kommun i mellan Sverige och med en kvalitativ metod och semistrukturerade intervjuer har sex respondenter deltagit i undersökningen. Samtliga respondenter har olika befattningar inom organisationen och bidrar därmed med olika perspektiv på samma fenomen. Undersökningens resultat visar att den offentliga verksamhetens byråkratiska organisationsstruktur bidrar till att det bildas olika adaptiva system inom organisationen, där medarbetarnas beteendemönster bildar en social struktur som leder till att visionen och medarbetarpolicyn inte förverkligas. Undersökningen visar även att de adaptiva systemen inom organisationen inte påverkar varandra, då de inte interagerar med varandra inom organisationen. Det som ligger till grund för hur medarbetarnas beteendemönster etableras inom organisationen är kraven från omvärlden, hög arbetsbelastning och avsaknaden av stabilitet i den organisatoriska och sociala arbetsmiljön och inte vad tidigare forskning visat; att det skulle vara hög regelstyrning som ligger till grund för beteendemönstret inom den offentliga sektorn. Slutsatsen är att för att medarbetarna ska kunna förverkliga organisationens vision och medarbetarpolicy kräver det att HR, ledning och medarbetare alla ingår i samma adaptiva system. För att det ska vara möjligt behöver HR upprätta strategier för hur samtliga inom organisationen ska interagera med varandra i det dagliga arbetet. Ledningen och medarbetarna behöver även ha goda möjligheter att kommunicera med varandra regelbundet i en större omfattning än vad de gör idag. Konkreta åtgärder för hur det lämpligen bör genomföras presenteras under diskussionen.

Equilíbrios Difíceis: stress laboral, equilíbrio trabalho/família e diferenças de género entre os colaboradores de uma empresa de tecnologias da informação

O stress é não apenas inerente para o ser humano, como indispensável para a sua sobrevivência. À medida que as sociedades humanas evoluíram, assim também se alteraram as principais fontes de stress. Actualmente o stress organizacional é uma das principais áreas de investigação, bem como as suas relações com a família e a vida pessoal. Em foco estão ainda as variáveis individuais que servem como moderadoras da experiência de stress, como o coping e o suporte social. Neste trabalho procurou-se conhecer os níveis de stress experienciados pelos colaboradores da Cisco Systems Lda, identificando diferenças de género e entre os tipos de trabalho. Pretendeu-se ainda relacionar o stress no trabalho com o equilíbrio trabalho/família, equlíbrio vida pessoal/trabalho, suporte social e coping. Através de um estudo não experimental transversal, descritivo/descritivo correlacional, com 42 sujeitos, utilizando o PMI – Pressure Management Indicator, foi possível identificar quatro factores, com α a partir de 0,531 para as variáveis moderadoras ate 0,904 para as variáveis stressoras. Os trabalhadores da amostra trabalham em média 49,7 horas por semana, apontando como principal razão “para que o trabalho seja feito”; 31,7% consideram estar a sofrer de pressão negativa iniciada há mais de 3 meses. Estão muito satisfeitos com a organização, mas sentem pressão devido ao volume de trabalho, ao relacionamento interpessoal e às dificuldades em desligar do trabalho quando em casa, fazendo uso de estratégias focadas no problema e de suporte social. Existem diferenças estatisticamente significativas entre homens e mulheres nas subescalas “Estado de espírito” e “Nível de confiança”, indicando níveis mais altos de segurança e satisfação com o seu estado mental para o grupo dos homens. No que respeita aos tipos de trabalho, foi possível identificar diferenças entre as categorias Sénior gerência/profissional e Manual/hábil nas subescalas “Nível de energia”, “Volume de trabalho” e “Equilíbrio vida/trabalho”. Existe correlação positiva entre as variáveis stressoras e a subescala “Equilíbrio trabalho/família” (r=0,890; p<0,000) e entre as variáveis stressoras e a escala de Coping (r=0,748; p<0,000), sugerindo que níveis de stress elevados interferem com a vida familiar e conduzem a maior utilização das estratégias de coping. Apesar das políticas de recursos humanos da empresa no sentido de promover a conciliação entre trabalho e vida pessoal e familiar, há ainda margem para intervir e melhorar. / Stress is not only inherent to the human being, it’s essential to survival. As the humans societies evolved, so did the major sources of stress. These days, organizational stress is one of the main areas of research, as it is it’s relation with family and personal life. Under the spotlight are also individual variables that moderate the stress experience, such as coping and social support. With this paper, we intended to know the levels of stress experienced by the workers of Cisco Systems Lda, identifying gender and work type differences. We were also intending to relate work stress with home/work balance, life/work balance, social support and coping. Using a cross sectional correlational study, with n=42, using the PMI, we were able to identify four factors, with α starting on 0,531 for moderator variables to 0,904 for stressor variables. The workers on this sample work an average of 49,7 hours per week, naming “to get the job done” as the main reason for it. 31,7% consider to be suffering from negative pressure that started more than 3 months ago. They are very satisfied with the organization, but feel pressure due to workload, interpersonal relationship and the difficulties in switching off from work when at home. They use mostly Problem focus strategies and social support.There are statically significative differences between men and women in the subscales “State of mind” and “Confidence level”, which indicate higher levels of security and satisfaction with their state of mind for men. Regarding work types, we were able to identify differences between senior Management and Manual categories on subscales “Energy level”, “Workload” and “Life/work balance”. There is a positive correlation between stressor variables and the subscales “Home/work balance” (r=0,890; p<0,000) and between stressor variables and Coping scale (r=0,748; p<0,000), suggesting that high levels of stress interfere with family life and lead to higher use of coping mechanisms. Despite the company’s human resources policies to promote the balance between work and personal and family life, there is still place to intervene and improve.

Causes of teachers’ turnover intentions in Swedish schools : A qualitative research

Purpose – The purpose of this paper is to explore the causes of teachers' turnover intentions in selected Swedish schools. Research methodology – This research took the form of a qualitative research. Semi-structured interviews were used to explore the causes of teachers' turnover intentions within the schools selected for this study. The sample was composed by 9 teachers that work in Säter. In order to provide a different yet meaningful perspective, a further interview with the Säter school department has been conducted. Results – Several of the results were coherent with the literature: elements such as motivations to teach, administrative support, workload, class size and collaboration were found to be related to teachers’ turnover intentions and therefore confirmed the previous studies. However, factors like salary, mentoring, autonomy, physical conditions and orderly environment were not found to have a connection with the respondents’ turnover intentions, hence constituting a result that did not confirm the literature. Originality – This thesis extended the previous research related to the causes of teachers’ turnover intentions by focusing on Sweden, which had not been investigated yet to that matter. The Swedish context appears particularly worth researching because of both the particularity of its decentralized educational system and the widespread turnover intentions of teachers.

Parallel dynamic load-balancing for adaptive unstructured meshes

This chapter describes a parallel optimization technique that incorporates a distributed load-balancing algorithm and provides an extremely fast solution to the problem of load-balancing adaptive unstructured meshes. Moreover, a parallel graph contraction technique can be employed to enhance the partition quality and the resulting strategy outperforms or matches results from existing state-of-the-art static mesh partitioning algorithms. The strategy can also be applied to static partitioning problems. Dynamic procedures have been found to be much faster than static techniques, to provide partitions of similar or higher quality and, in comparison, involve the migration of a fraction of the data. The method employs a new iterative optimization technique that balances the workload and attempts to minimize the interprocessor communications overhead. Experiments on a series of adaptively refined meshes indicate that the algorithm provides partitions of an equivalent or higher quality to static partitioners (which do not reuse the existing partition) and much more quickly. The dynamic evolution of load has three major influences on possible partitioning techniques; cost, reuse, and parallelism. The unstructured mesh may be modified every few time-steps and so the load-balancing must have a low cost relative to that of the solution algorithm in between remeshing.

Biståndshandläggare inom äldreomsorgens upplevelse av sin arbetssituation : En kvalitativ studie ur ett salutogent perspektiv

Syftet med denna uppsats var att genom ett salutogent perspektiv få en ökad förståelse för, inom äldreomsorgen verksamma, biståndshandläggares arbetssituation samt att undersöka vad som kan bidra till att biståndshandläggares arbetssituation upplevs som lättare och mindre påfrestande. Metoden som använts är kvalitativa intervjuer där sex biståndshandläggare verksamma i Värmland har intervjuats. Intervjuerna analyserades genom teman ur KASAM och resulterade i kategorier under varje tema. Under temat begriplighet framkom att biståndshandläggare får stöd från sina kollegor men att de också önskar att det fanns mer resurser för handledning. Biståndshandläggare utför mer än vad som ingår i arbetsbeskrivningen. Under temat hanterbarhet framgår att hög arbetsbelastning hanteras genom att biståndshandläggarna måste planera, strukturera och prioritera. Kollegornas stöd gör arbetet lättare att hantera då de genom att prata med varandra bearbetar känslomässigt påfrestande delar av arbetet. De uttryckte olika behov av att reflektera över sitt arbete. Biståndshandläggare har en stor frihet att planera sin egen arbetsdag och de samverkar med andra professioner. Under temat meningsfullhet framgår att biståndshandläggare finner mening i att göra skillnad för den enskilde. Vårt resultat visar att biståndshandläggarna är utsatta för stress i sitt arbete och att de också har förmåga att möta stressen, men förmågan att möta stressen minskar när arbetsbelastningen blir för hög. 

Dynamic load-balancing for parallel adaptive unstructured meshes

A parallel method for dynamic partitioning of unstructured meshes is described. The method employs a new iterative optimisation technique which both balances the workload and attempts to minimise the interprocessor communications overhead. Experiments on a series of adaptively refined meshes indicate that the algorithm provides partitions of an equivalent or higher quality to static partitioners (which do not reuse the existing partition) and much more quickly. Perhaps more importantly, the algorithm results in only a small fraction of the amount of data migration compared to the static partitioners.

Parallel partitioning of unstructured meshes

A method is outlined for optimising graph partitions which arise in mapping un- structured mesh calculations to parallel computers. The method employs a combination of iterative techniques to both evenly balance the workload and minimise the number and volume of interprocessor communications. They are designed to work efficiently in parallel as well as sequentially and when combined with a fast direct partitioning technique (such as the Greedy algorithm) to give an initial partition, the resulting two-stage process proves itself to be both a powerful and flexible solution to the static graph-partitioning problem. The algorithms can also be used for dynamic load-balancing and a clustering technique can additionally be employed to speed up the whole process. Experiments indicate that the resulting parallel code can provide high quality partitions, independent of the initial partition, within a few seconds.

Dynamic load balancing of distributed memory parallel computational mechanics using unstructured meshes for multi-physical modelling

As the complexity of parallel applications increase, the performance limitations resulting from computational load imbalance become dominant. Mapping the problem space to the processors in a parallel machine in a manner that balances the workload of each processors will typically reduce the run-time. In many cases the computation time required for a given calculation cannot be predetermined even at run-time and so static partition of the problem returns poor performance. For problems in which the computational load across the discretisation is dynamic and inhomogeneous, for example multi-physics problems involving fluid and solid mechanics with phase changes, the workload for a static subdomain will change over the course of a computation and cannot be estimated beforehand. For such applications the mapping of loads to process is required to change dynamically, at run-time in order to maintain reasonable efficiency. The issue of dynamic load balancing are examined in the context of PHYSICA, a three dimensional unstructured mesh multi-physics continuum mechanics computational modelling code.

Mesh partitioning and load balancing for distributed memory parallel systems

A method is outlined for optimising graph partitions which arise in mapping unstructured mesh calculations to parallel computers. The method employs a relative gain iterative technique to both evenly balance the workload and minimise the number and volume of interprocessor communications. A parallel graph reduction technique is also briefly described and can be used to give a global perspective to the optimisation. The algorithms work efficiently in parallel as well as sequentially and when combined with a fast direct partitioning technique (such as the Greedy algorithm) to give an initial partition, the resulting two-stage process proves itself to be both a powerful and flexible solution to the static graph-partitioning problem. Experiments indicate that the resulting parallel code can provide high quality partitions, independent of the initial partition, within a few seconds. The algorithms can also be used for dynamic load-balancing, reusing existing partitions and in this case the procedures are much faster than static techniques, provide partitions of similar or higher quality and, in comparison, involve the migration of a fraction of the data.

Parallel dynamic graph-partitioning for unstructured meshes

A parallel method for the dynamic partitioning of unstructured meshes is described. The method introduces a new iterative optimisation technique known as relative gain optimisation which both balances the workload and attempts to minimise the interprocessor communications overhead. Experiments on a series of adaptively refined meshes indicate that the algorithm provides partitions of an equivalent or higher quality to static partitioners (which do not reuse the existing partition) and much more rapidly. Perhaps more importantly, the algorithm results in only a small fraction of the amount of data migration compared to the static partitioners.

Maryland Farm Internships and Labor Laws

Many farms across Maryland use interns to lighten the overall farm workload and help young people gain practical farming knowledge. Although interns can be a welcome addition to a farm’s workforce, farm employers need to be aware of how to properly compensate interns and the legal consequences of adding them to the payroll.

Ser Professor

As escolas sofreram várias mudanças, ao longo dos anos, as quais geraram consequências a nível das condições de trabalho dos professores. Assim, os professores trabalham a um ritmo intenso, com uma enorme sobrecarga de trabalho, o que os leva a queixarem-se de dores de garganta, dores de pernas, dores de costas, rouquidão e cansaço. Enfrentam vários riscos psicossociais e profissionais, na sua profissão, e estes agrupam-se em seis dimensões, de acordo com Gollac & Bodier (2011), a saber: a intensificação de trabalho e tempo de trabalho, exigências emocionais, falta de autonomia, qualidade das relações sociais, conflito de valores e insegurança no trabalho. Esta investigação teve como objetivo a identificação dos riscos psicossociais e profissionais dos professores do 3.ºciclo e do ensino secundário, nela participando 89 professores. A identificação dos riscos psicossociais realizou-se através do INSAT e a entrevista aos docentes permitiu completar e comprovar estes mesmos dados. Esta investigação pretende alertar sobre as condições de trabalho dos professores e as consequências das mesmas para a saúde e bem-estar no trabalho.

BUILDING EFFICIENT AND COST-EFFECTIVE CLOUD-BASED BIG DATA MANAGEMENT SYSTEMS

In today’s big data world, data is being produced in massive volumes, at great velocity and from a variety of different sources such as mobile devices, sensors, a plethora of small devices hooked to the internet (Internet of Things), social networks, communication networks and many others. Interactive querying and large-scale analytics are being increasingly used to derive value out of this big data. A large portion of this data is being stored and processed in the Cloud due the several advantages provided by the Cloud such as scalability, elasticity, availability, low cost of ownership and the overall economies of scale. There is thus, a growing need for large-scale cloud-based data management systems that can support real-time ingest, storage and processing of large volumes of heterogeneous data. However, in the pay-as-you-go Cloud environment, the cost of analytics can grow linearly with the time and resources required. Reducing the cost of data analytics in the Cloud thus remains a primary challenge. In my dissertation research, I have focused on building efficient and cost-effective cloud-based data management systems for different application domains that are predominant in cloud computing environments. In the first part of my dissertation, I address the problem of reducing the cost of transactional workloads on relational databases to support database-as-a-service in the Cloud. The primary challenges in supporting such workloads include choosing how to partition the data across a large number of machines, minimizing the number of distributed transactions, providing high data availability, and tolerating failures gracefully. I have designed, built and evaluated SWORD, an end-to-end scalable online transaction processing system, that utilizes workload-aware data placement and replication to minimize the number of distributed transactions that incorporates a suite of novel techniques to significantly reduce the overheads incurred both during the initial placement of data, and during query execution at runtime. In the second part of my dissertation, I focus on sampling-based progressive analytics as a means to reduce the cost of data analytics in the relational domain. Sampling has been traditionally used by data scientists to get progressive answers to complex analytical tasks over large volumes of data. Typically, this involves manually extracting samples of increasing data size (progressive samples) for exploratory querying. This provides the data scientists with user control, repeatable semantics, and result provenance. However, such solutions result in tedious workflows that preclude the reuse of work across samples. On the other hand, existing approximate query processing systems report early results, but do not offer the above benefits for complex ad-hoc queries. I propose a new progressive data-parallel computation framework, NOW!, that provides support for progressive analytics over big data. In particular, NOW! enables progressive relational (SQL) query support in the Cloud using unique progress semantics that allow efficient and deterministic query processing over samples providing meaningful early results and provenance to data scientists. NOW! enables the provision of early results using significantly fewer resources thereby enabling a substantial reduction in the cost incurred during such analytics. Finally, I propose NSCALE, a system for efficient and cost-effective complex analytics on large-scale graph-structured data in the Cloud. The system is based on the key observation that a wide range of complex analysis tasks over graph data require processing and reasoning about a large number of multi-hop neighborhoods or subgraphs in the graph; examples include ego network analysis, motif counting in biological networks, finding social circles in social networks, personalized recommendations, link prediction, etc. These tasks are not well served by existing vertex-centric graph processing frameworks whose computation and execution models limit the user program to directly access the state of a single vertex, resulting in high execution overheads. Further, the lack of support for extracting the relevant portions of the graph that are of interest to an analysis task and loading it onto distributed memory leads to poor scalability. NSCALE allows users to write programs at the level of neighborhoods or subgraphs rather than at the level of vertices, and to declaratively specify the subgraphs of interest. It enables the efficient distributed execution of these neighborhood-centric complex analysis tasks over largescale graphs, while minimizing resource consumption and communication cost, thereby substantially reducing the overall cost of graph data analytics in the Cloud. The results of our extensive experimental evaluation of these prototypes with several real-world data sets and applications validate the effectiveness of our techniques which provide orders-of-magnitude reductions in the overheads of distributed data querying and analysis in the Cloud.

Impacto das características e condições de trabalho no absentismo em assistentes operacionais de escolas e jardins de infância

O trabalho é capaz de proporcionar sentimentos de identificação, permitindo a partilha de experiências, a aquisição de status social e identidade profissional, mas também pode colocar o trabalhador em situações desagradáveis. As condições a que os trabalhadores estão expostos no seu trabalho e os constrangimentos organizacionais podem despoletar riscos para a sua saúde mental, social e física. A exposição a riscos psicossociais no trabalho tem consequências para a saúde dos trabalhadores. Riscos estes que estão relacionados com a organização do trabalho, com o conteúdo das tarefas e com o ambiente vivenciado no local de trabalho. Para além de consequências para a saúde, a exposição a fatores de risco pode ter consequências que prejudicam o trabalhador, a organização e a sociedade em geral, exemplo dessa consequência é o absentismo. O absentismo é caracterizado pela ausência do trabalhador ao seu local de trabalho, podendo ter na sua essência múltiplas causas, sendo, por sua vez, causador de diversos problemas. A insatisfação com as condições e características do trabalho e os problemas de saúde causados e agravados pela exposição aos riscos leva ao elevado absentismo. Esta dissertação tem como intuito compreender a perceção dos assistentes operacionais acerca da exposição a fatores de riscos psicossociais, compreender a que se deve o elevado índice de absentismo laboral e perceber se existe relação entre este e as condições de trabalho e a perceção de exposição a riscos psicossociais. Participaram do estudo 85 assistentes operacionais, entre os 32 e os 65 anos, de escolas e jardins de infância do conselho. A recolha de dados foi realizada através do questionário INSAT2013 e pela técnica de observação não sistematizada, onde se procurou observar, com o intuito de compreender, as atividades, comportamentos, dificuldades, interações/relações e satisfação do trabalhador assistente operacional. Os principais resultados apresentam uma percepção moderada, por parte dos trabalhadores a riscos psicossociais de modo geral e a sua relação com o elevado absentismo. Umas das conclusões que se destaca na dissertação é que a elevada carga de trabalho reforçada com a redução de colaboradores levam ao aumento do absentismo.