931 resultados para Industry sector
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The aim of this paper is to model the evolution of employment structure in post-communist economies in the broader context of deindustrialisation. The paper builds on the model of structural change developed by Rowthorn and Wells (1987). We show that the starting point of high industry sector share in total employment and its direct fall when productivity of sectors changes in favour of services can be explained in terms of this framework. Moreover, the model can also describe the phenomenon of a further expansion of the agriculture, observed in countries classified as "less consistent" in the reforms implementation. Hence, we distinguish two development paths, the efficient one, called "horizontal", and the inefficient one called "vertical". We illustrate it with empirical data, using alternative measures of structural change and patterns of structural evolutions during transition. Finally, we discuss the link between the EBRD indicators of reforms and structural change. We show that the "quality" of reforms, not the initial GDP level determines a country's development path.
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Strategic sourcing plays an important role in organisations' performance. Strategic sourcing has been researched extensively using empirical studies as well as review work, such as strategic sourcing importance, issues and challenges, processes, source selection criteria and framework. However, there is no research on critical success factors for strategic sourcing specific to industry and country. This research aims to qualitatively evaluate and understand the current role of strategic sourcing, the critical success factors for business performance and its relationship with strategic sourcing, and strategic supplier evaluation criteria from multiple stakeholders' perspectives specific to industry and country. This research studies twenty organisations from Germany and the United Kingdom (UK) covering two industry sectors - electronics manufacturing and construction. We consider five organisations from each industry sector and each country. The findings from twenty case studies reveal comparative analysis of strategic sourcing practices of two countries and two industries.
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Macroeconomic developments, such as the business cycle, have a remarkable influence on firms and their performance. In business-to-business (B-to-B) markets characterized by a strong emphasis on long-term customer relationships, market orientation (MO) provides a particularly important safeguard for firms against fluctuating market forces. Using panel data from an economic upturn and downturn, we examine the effectiveness of different forms of MO (i.e., customer orientation, competitor orientation, interfunctional coordination, and their combinations) on firm performance in B-to-B firms. Our findings suggest that the impact of MO increases especially during a downturn, with interfunctional coordination clearly boosting firm performance and, conversely, competitor orientation becoming even detrimental. The findings further indicate that both the role of MO and its most effective forms vary across industry sectors, MO having a particularly strong impact on performance among B-to-B service firms. The findings of our study provide guidelines for executives to better manage performance across the business cycle and tailor their investments in MO more effectively, according to the firm's specific industry sector.
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This dissertation analyzes how marketers define markets in technology-based industries. One of the most important strategic decisions marketers face is determining the optimal market for their products. Market definition is critical in dynamic high technology markets characterized by high levels of market and technological uncertainty. Building on literature from marketing and related disciplines, this research is the first in-depth study of market definition in industrial markets. Using a national, probability sample stratified by firm size, 1,000 marketing executives in nine industries (automation, biotechnology, computers, medical equipment and instrumentation, pharmaceuticals, photonics, software, subassemblies and components, and telecommunications) were surveyed via a mail questionnaire. A 20.8% net response rate yielding 203 surveys was achieved. The market structure-conduct-performance (SCP) paradigm from industrial organization provided a conceptual basis for testing a causal market definition model via LISREL. A latent exogenous variable (competitive intensity) and four latent endogenous variables (marketing orientation, technological orientation, market definition criteria, and market definition success) were used to develop and test hypothesized relationships among constructs. Research questions relating to market redefinition, market definition characteristics, and internal (within the firm) and external (competitive) market definition were also investigated. Market definition success was found to be positively associated with a marketing orientation and the use of market definition criteria. Technological orientation was not significantly related to market definition success. Customer needs were the key market definition characteristic to high-tech firms (technology, competition, customer groups, and products were also important). Market redefinition based on changing customer needs was the most effective of seven strategies tested. A majority of firms regularly defined their market at the corporate and product-line level within the firm. From a competitive perspective, industry, industry sector, and product-market definitions were used most frequently.
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The meaning of work is a construct that has been studied more systematically from the 80s, through various approaches and in different occupational categories. This dissertation aims to describe and discuss the meanings of work for construction workers. This is an empirical study whose research supports herself in the Model Attributes Meaning of Work and its respective instrument for measuring the Meaning of Work Inventory (STI). The research involved 402 workers in the construction industry sector in the two capitals of the Brazilian Northeast, with a mean age of 35.8 years (SD = 11.4). To collect the data, besides the IST, the Working Conditions Questionnaire and sociodemographic data were also used. Data were organized and analyzed using the SPSS program. The study used data analysis techniques to Smallest Space Analisys (SSA), descriptive statistics, correlation and analysis of variance. There was evidence of validity of the STI which was structured into five types of value attributes (what work should be), and seven types of descriptive attributes (what is working). The results showed that the work has high centrality and profiling for participants after the family, the most important aspect in the lives of workers. Aspects of personal and economic growth were more emphasized in definition of what the work should be and responsibility and effort were characteristics that best described the reality of work.
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Nas últimas décadas tem-se verificado uma degradação contínua do meio ambiente, intensificada pela produção em massa das indústrias, aliado a um crescente consumismo da sociedade. Atualmente, as organizações e a sociedade civil demonstram uma crescente preocupação com os problemas ambientais, é neste contexto que surgem as questões associadas aos sistemas de gestão ambiental (SGA), como forma de integrar as preocupações das organizações com a proteção do ambiente. O presente projeto, realizado no âmbito do estágio curricular do Mestrado de Engenharia do Ambiente, pretende explorar e servir de apoio na implementação e desenvolvimento de um Sistema de Gestão Ambiental em duas Unidades Industriais da Amorim & Irmãos, S.A. Para o cumprimento dos objetivos do projeto foi realizada uma revisão bibliográfica da temática Sistemas de Gestão Ambiental, que possibilitou alargar o conhecimento sobre o tema do estágio. A segunda fase do trabalho consistiu na integração nos processos e infraestruturas da empresa. A terceira fase incluiu a realização dos trabalhos práticos necessários para a implementação e desenvolvimento dos Sistemas de Gestão Ambiental. Tendo em conta a metodologia seguida conclui-se que a realização este projeto foi muito vantajosa para todas as partes envolvidas, tendo contribuído: para um grande avanço na implementação e desenvolvimento dos Sistemas de Gestão Ambiental nas duas Unidades Industriais, permitindo assim melhorar os seus desempenhos ambientais; para a aquisição e consolidação de conhecimentos na área e proporcionou uma experiencia que será benéfica no envolvimento de um projeto desta natureza.
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International audience
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International audience
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The objective of this paper is to carry out an evaluation of employee efficiency in the United States using a professional data base, namely the ECS Survey on Workforce Efficiency (2000/2001) conducted by Watson Wyatt, which includes the responses of 453 organizations covering 1,685,336 employees. To that end, we measure workforce efficiency of US organizations, differentiated by profit status, industry sector and employee size, using expenses indicators. Our findings reveal that new employee strengths will depend upon developing and using the kinds of information and analyzes that can keep workers, educators, employers and employee program administrators abreast or ahead of changing conditions.
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This thesis intends to analyse the performance and the efficiency of companies and to identify the key factors that may explain it. A comprehensive analysis based on a set of economic and financial ratios was studied as an instrument which provides information on enterprise performance and its efficiency. It was selected a sample with 15 enterprises: 7 Portuguese and 8 Ukrainian ones, belonging to several industries. Financial and non-financial data was collected for 6 years, during the period of 2009 to 2014. Research questions that guided this work were: Are the enterprises efficient/profitable? What factors influence enterprises’ efficiency/performance? Is there any difference between Ukrainian and Portuguese enterprises’ efficiency/performance, which factors have more influence? Which industrial sector is represented by more efficient/profitable enterprises? The main results showed that in average enterprises were efficient; comparing by states Ukrainian enterprises are more efficient; industries have similar level of efficiency. Among factors that influence ATR positively are fixed and current assets turnover ratios, ROA; negatively influencing are EBITDA margin and liquidity ratio. There is no significant difference between models by country. Concerning profitability, enterprises have low performance level but in comparison of countries Ukrainian enterprises have better profitability in average. Regarding the industry sector, paper industry is the most profitable. Among factors influencing ROA are profit margin, fixed asset turnover ratio, EBITDA margin, Debt to equity ratio and the country. In case of profitability both countries have different models. For Ukrainian enterprises is suggested to pay attention on factors of Short-term debt to total debt, ROA, Interest coverage ratio in order to be more efficient; Profit margin and EBITDA margin to make their performance better. For Portuguese enterprises for improving efficiency the observation and improvement of fixed assets turnover ratio, current assets turnover ratio, Short-term financial debt to total debt, Leverage Ratio, EBITDA margin is suggested; for improving higher profitability track fixed assets turnover ratio, current assets turnover ratio, Debt to equity ratio, Profit margin and Interest coverage ratio is suggested.
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This study aims to investigate factors that may affect return on equity (ROE). The ROE is a gauge of profit generating efficiency and a strong measure of how well the management of a firm creates value for its shareholders. Firms with higher ROE typically have competitive advantages over their competitors which translates into superior returns for investors. Therefore, seems imperative to study the drivers of ROE, particularly ratios and indicators that may have considerable impact. The analysis is done on a sample of 90 largest non-financial companies which are components of NASDAQ-100 index and also on industry sector samples. The ordinary least squares method is used to find the most impactful drivers of ROE. The extended DuPont model’s components are considered as the primary factors affecting ROE. In addition, other ratios and indicators such as price to earnings, price to book and current are also incorporated. Consequently, the study uses eight ratios that are believed to have impact on ROE. According to our findings, the most relevant ratios that determine ROE are tax burden, interest burden, operating margin, asset turnover and financial leverage (extended DuPont components) regardless of industry sectors.
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Sunflower cropped area in Brazil has been showing potential possibilities to be increased in a short period of time for biofuel production. Planning the activities is one of the requirements for the success of future cropped area expansion. This requires a previous survey that identifies future trends in the transformation and rearrangement of the sunflower agro-industry sector and also identifies technological needs that may affect this process. With the objectives of identify future trends and technological needs, a value production chain was built and a questionary was applied to agents of all the sectors participating at the V National Brazilian Symposium of Sunflower and at the XVII Sunflower National Research Meeting Network. The results pointed out a strong tendency for area expansion in the next two to five years (75%); being as a secondary follow-up crop (83%) specially after soybean and top be used for biofuel (77%). The main research needs were linked with disease control, crop zoning and varietal improvement for disease resistance and high oleic oil content. Also considering the vision of and concerns regarding the future expansion and transformation of the sunflower productive complex, it is believed that the expansion is a consolidated trend, requiring a strategic sector planning associated with an economic and technological police for its success within the Brazilian agribusiness.
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Resumo: A procura por carne de qualidade tem proporcionado ao setor de ovinocultura a adoção por técnicas de produção que possam contribuir para disponibilizar ao mercado produtos que atendam as necessidades dos consumidores, que se tornam cada vez mais exigentes quanto à aquisição de produtos que possam trazer benefícios a saúde. Assim, objetivou-se determinar a qualidade da carne de ovinos puros e cruzados criados no semiárido Nordestino. Utilizaram-se 30 cordeiros machos e fêmeas, oriundos dos cruzamentos Morada Nova x Morada Nova, Rabo Largo x Morada Nova e Santa Inês x Morada Nova, alojados em baias e alimentados com dieta a base de capim Canarana, milho farelo de soja e calcário. Os animais foram abatidos com peso médio de 24 kg de peso vivo e as carcaças mantidas em câmara frigorífica a 4?C, por 24 horas. Após esse período, foi seccionado o músculo Longissimus dorsi que foi embalado, identificado e armazenado a 20?C. Foram determinados os atributos físicos de capacidade de retenção de água, perda de peso por cocção e força de cisalhamento; os atributos químicos como umidade, proteína, cinza, lipídios e colesterol; avaliações subjetivas da carcaça como cor, marmoreio, textura da carne, distribuição da gordura, espessura da gordura e área de olho de lombo; os sensoriais de dureza, suculência, sabor, aroma e aceitação global e o perfil de ácidos graxos. O delineamento utilizado foi em esquema fatorial 3x2 (três grupos genéticos e dois sexos) e as médias comparadas pelo teste de Duncan a 5%. Não houve diferença (p>0,05) entre os genótipos para a composição química da carne, exceto para a variável lipídio (p<0,05). Para as características subjetivas da carcaça o genótipo influenciou (p<0,05) nas variáveis cor, marmoreio e textura da carne. O genótipo promoveu efeito (p<0,05) para as características físicas de capacidade de retenção de água e perda de peso por cocção. Os atributos sensoriais não sofreram efeitos (p>0,05) dos genótipos avaliados. Os genótipos influenciaram (p<0,05) as concentrações dos ácidos graxos saturados, monoinsaturados e poli-insaturados assim como, nas relações ?3:?6 e AGM:AGS. O fator sexo influenciou (p<0,05) nas variáveis umidade, força de cisalhamento, dureza, ácidos graxos desejáveis e relação ?3:?6. O cruzamento entre raças nativas mostrou-se com potencial para a produção de carne de qualidade, a raça Morada Nova melhorou os atributos físico-químicos da carne e em seu perfil lipídico e, o fator sexo melhorou o atributo maciez dando destaque a carne das fêmeas. Abstract: The demand for quality meat products has given the sheep industry sector productions techniques that can contribute providing the market with products that supply the needs of consumers require, who are becoming more demanding as the acquisition of differentiated and bring health benefits. The objective was to evaluate the quality of the pure sheep meat and cross bred in the semiarid Northeast of Brazil. It was used 30 male lambs and female, that came from crosses Morada Nova x Morada Nova, Rabo Largo x Morada Nova and Santa Ines x Morada Nova, housed in pens and fed a diet of grass Canarana, corn soybean meal and limestone. The animals were slaughtered at average weight of 24 kg, live weight, and carcasses kept in refrigeration chamber at 4 ° C for 24 hours. After this period the Longissimus dorsi muscle was selected, packaged, labeled and stored at 20˚C. The physical attributes were determined such as water holding capacity, cooking weight loss and shear force; the chemical attributes such as moisture, protein, ash, lipids and cholesterol; Subjective evaluations such as color, marbling, meat texture, fat distribution, fat thickness and loin eye area; the hardness sensory, juiciness, flavor, aroma and global acceptance and fatty acid profile. The design was a 3x2 factorial arrangement (three genetic groups and two genders) and the measures compared by Duncan test at 5%. There was no difference (p> 0.05) between genotypes for the chemical composition of meat, except for the lipid variable (p <0.05). To the subjective characteristics of the carcass, the genotype influenced (p <0.05) in the variables color, marbling and meat texture. The genotype promoted significant effect (p <0.05) for the physical characteristics, water retention capacity and weight loss on cooking. The sensory attributes did not suffer significant effects (p> 0.05) of the evaluated genotypes. The genotypes influenced (p <0.05) in the concentrations of saturated fatty acids, monounsaturated and polyunsaturated as well as in the relations ω3: ω6 and AGM:AGS. The gender factor influenced (P <0.05) in the variables moisture, shear strength, hardness, desirable fatty acids and relation ω3: ω6. The cross between native breeds showed up with potential for quality meat production, the Morada Nova improved the physical and chemical attributes of the flesh and in their lipid profiles and sex factor improved softness attribute highlighting the meat of females.
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Miniaturized flying robotic platforms, called nano-drones, have the potential to revolutionize the autonomous robots industry sector thanks to their very small form factor. The nano-drones’ limited payload only allows for a sub-100mW microcontroller unit for the on-board computations. Therefore, traditional computer vision and control algorithms are too computationally expensive to be executed on board these palm-sized robots, and we are forced to rely on artificial intelligence to trade off accuracy in favor of lightweight pipelines for autonomous tasks. However, relying on deep learning exposes us to the problem of generalization since the deployment scenario of a convolutional neural network (CNN) is often composed by different visual cues and different features from those learned during training, leading to poor inference performances. Our objective is to develop and deploy and adaptation algorithm, based on the concept of latent replays, that would allow us to fine-tune a CNN to work in new and diverse deployment scenarios. To do so we start from an existing model for visual human pose estimation, called PULPFrontnet, which is used to identify the pose of a human subject in space through its 4 output variables, and we present the design of our novel adaptation algorithm, which features automatic data gathering and labeling and on-device deployment. We therefore showcase the ability of our algorithm to adapt PULP-Frontnet to new deployment scenarios, improving the R2 scores of the four network outputs, with respect to an unknown environment, from approximately [−0.2, 0.4, 0.0,−0.7] to [0.25, 0.45, 0.2, 0.1]. Finally we demonstrate how it is possible to fine-tune our neural network in real time (i.e., under 76 seconds), using the target parallel ultra-low power GAP 8 System-on-Chip on board the nano-drone, and we show how all adaptation operations can take place using less than 2mWh of energy, a small fraction of the available battery power.
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Enterprise and Work Innovation Studies,6,IET, pp.9-51