787 resultados para SME’S


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Dissertação de mestrado integrado em Engenharia e Gestão Industrial

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Dissertação de mestrado em Engenharia Industrial

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Proceedings da AUTEX 2015, Bucareste, Roménia.

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Dissertação de mestrado em Sociologia (área de especialização em Organizações e Trabalho)

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Trabalho de projeto de mestrado em Políticas Comunitárias e Cooperação Territorial

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This paper reports on: (a) new primary source evidence on; and (b) statistical and econometric analysis of high technology clusters in Scotland. It focuses on the following sectors: software, life sciences, microelectronics, optoelectronics, and digital media. Evidence on a postal and e-mailed questionnaire is presented and discussed under the headings of: performance, resources, collaboration & cooperation, embeddedness, and innovation. The sampled firms are characterised as being small (viz. micro-firms and SMEs), knowledge intensive (largely graduate staff), research intensive (mean spend on R&D GBP 842k), and internationalised (mainly selling to markets beyond Europe). Preliminary statistical evidence is presented on Gibrat’s Law (independence of growth and size) and the Schumpeterian Hypothesis (scale economies in R&D). Estimates suggest a short-run equilibrium size of just 100 employees, but a long-run equilibrium size of 1000 employees. Further, to achieve the Schumpeterian effect (of marked scale economies in R&D), estimates suggest that firms have to grow to very much larger sizes of beyond 3,000 employees. We argue that the principal way of achieving the latter scale may need to be by takeovers and mergers, rather than by internally driven growth.

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This paper reports on one of the first empirical attempts to investigate small firm growth and survival, and their determinants, in the Peoples’ Republic of China. The work is based on field work evidence gathered from a sample of 83 Chinese private firms (mainly SMEs) collected initially by face-to-face interviews, and subsequently by follow-up telephone interviews a year later. We extend the models of Gibrat (1931) and Jovanovic (1982), which traditionally focus on size and age alone (e.g. Brock and Evans, 1986), to a ‘comprehensive’ growth model with two types of additional explanatory variables: firm-specific (e.g. business planning); and environmental (e.g. choice of location). We estimate two econometric models: a ‘basic’ age-size-growth model; and a ‘comprehensive’ growth model, using Heckman’s two-step regression procedure. Estimation is by log-linear regression on cross-section data, with corrections for sample selection bias and heteroskedasticity. Our results refute a pure Gibrat model (but support a more general variant) and support the learning model, as regards the consequences of size and age for growth; and our extension to a comprehensive model highlights the importance of location choice and customer orientation for the growth of Chinese private firms. In the latter model, growth is explained by variables like planning, R&D orientation, market competition, elasticity of demand etc. as well as by control variables. Our work on small firm growth achieves two things. First, it upholds the validity of ‘basic’ size-age-growth models, and successfully applies them to the Chinese economy. Second, it extends the compass of such models to a ‘comprehensive’ growth model incorporating firm-specific and environmental variables.

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This paper is inspired by articles in the last decade or so that have argued for more attention to theory, and to empirical analysis, within the well-known, and long-lasting, contingency framework for explaining the organisational form of the firm. Its contribution is to extend contingency analysis in three ways: (a) by empirically testing it, using explicit econometric modelling (rather than case study evidence) involving estimation by ordered probit analysis; (b) by extending its scope from large firms to SMEs; (c) by extending its applications from Western economic contexts, to an emerging economy context, using field work evidence from China. It calibrates organizational form in a new way, as an ordinal dependent variable, and also utilises new measures of familiar contingency factors from the literature (i.e. Environment, Strategy, Size and Technology) as the independent variables. An ordered probit model of contingency was constructed, and estimated by maximum likelihood, using a cross section of 83 private Chinese firms. The probit was found to be a good fit to the data, and displayed significant coefficients with plausible interpretations for key variables under all the four categories of contingency analysis, namely Environment, Strategy, Size and Technology. Thus we have generalised the contingency model, in terms of specification, interpretation and applications area.

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This paper reports on one of the first empirical attempts to investigate small firm growth and survival, and their determinants, in the Peoples’ Republic of China. The work is based on field work evidence gathered from a sample of 83 Chinese private firms (mainly SMEs) collected initially by face-to-face interviews, and subsequently by follow-up telephone interviews a year later. We extend the models of Gibrat (1931) and Jovanovic (1982), which traditionally focus on size and age alone (e.g. Brock and Evans, 1986), to a ‘comprehensive’ growth model with two types of additional explanatory variables: firm-specific (e.g. business planning); and environmental (e.g. choice of location). We estimate two econometric models: a ‘basic’ age-size-growth model; and a ‘comprehensive’ growth model, using Heckman’s two-step regression procedure. Estimation is by log-linear regression on cross-section data, with corrections for sample selection bias and heteroskedasticity. Our results refute a pure Gibrat model (but support a more general variant) and support the learning model, as regards the consequences of size and age for growth; and our extension to a comprehensive model highlights the importance of location choice and customer orientation for the growth of Chinese private firms. In the latter model, growth is explained by variables like planning, R&D orientation, market competition, elasticity of demand etc. as well as by control variables. Our work on small firm growth achieves two things. First, it upholds the validity of ‘basic’ size-age-growth models, and successfully applies them to the Chinese economy. Second, it extends the compass of such models to a ‘comprehensive’ growth model incorporating firm-specific and environmental variables.

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Un sistema ERP és una aplicació informàtica que permet gestionar tots els processos de negoci d’una empresa de forma integrada. Aquest projecte tracta sobre l’estudi previ que s’ha de realitzar en una empresa abans de la implantació d’un sistema ERP. L’empresa escollida per l’estudi és una pyme de fabricació de mobles. En primer lloc, s’inclou una base teòrica sobre els sistemes ERP. Després, s’analitza el funcionament i requeriments de l’empresa escollida. Finalment, s’estudien tres sistemes ERP de codi obert, es selecciona el que millor s’adapta i es fa una proposta de la seva futura implantació.

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This paper aims to analyse the impact of human capital on business productivity, focusing the analysis on the possible effect of the complementarity that exists between human capital and new production technologies, particularly advanced manufacturing technologies (AMTs) for the specific case of small and medium enterprises (SMEs) in Catalonia. Additionally, following the theory of skill-biased technological change, the paper analyses whether technological change produces bias exclusively in the skills required for managers, or whether the bias extends to the skills required of production staff. With this objective, we have compared the possible existence of complementarity between AMTs and the level of human capital for different occupational groups. The results confirm the complementary relationship between human capital and new production technologies. The results by occupational group confirm that to maximise the productivity of new technologies, skilled staff are needed both in management and production, with managers and professionals as well as skilled operatives playing a vital role. Keywords: human capital, process technologies, complementarity, business productivity. (JEL D24, J24, O30).

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The purpose of this paper is to examine the determinants of use internal or external labour market to fill a firm vacancy in SME’s taking into account the differences existing among blue and white collar jobs. Following different theories we can identify three main reasons for use internal candidates rather than external ones‐ firm specific knowledge, adverse selection problems and motivation‐. However, there are others factors that might affect this choice but the last theories don’t take into account. In this paper we try to shed some light on what are these other factors that may affect firm decision to use internal or external labour market. Particularly we analyses the relationship among new technologies, innovation activity and firm location on the staffing strategy. The results shows difference behaviour on the decision to fill a vacancy using internal or external labour markets between manufacturing and service firms, and this decision depends not only on firm internal characteristics, like technological complexity or innovation activity, but also on firm location. The results also support the hypothesis of ports of entry especially in the manufacturing sector.

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Projecte de recerca elaborat a partir d’una estada a la Satandford University, EEUU, entre 2007 i 2009. Els darrers anys, hi ha hagut un avanç espectacular en la tecnologia aplicada a l’anàlisi del genoma i del proteoma (microarrays, PCR quantitativa real time, electroforesis dos dimensions, espectroscòpia de masses, etc.) permetent la resolució de mostres complexes i la detecció quantitativa de diferents gens i proteïnes en un sol experiment. A més a més, la seva importància radica en la capacitat d’identificar potencials dianes terapèutiques i possibles fàrmacs, així com la seva aplicació en el disseny i desenvolupament de noves eines de diagnòstic. L’aplicabilitat de les tècniques actuals, però, està limitada al nivell al que el teixit pot ser disseccionat. Si bé donen valuosa informació sobre expressió de gens i proteïnes implicades en una malaltia o en resposta a un fàrmac per exemple, en cap cas, s’obté una informació in situ ni es pot obtenir informació espacial o una resolució temporal, així com tampoc s’obté informació de sistemes in vivo. L’objectiu d’aquest projecte és desenvolupar i validar un nou microscopi, d’alta resolució, ultrasensible i de fàcil ús, que permeti tant la detecció de metabòlits, gens o proteïnes a la cèl•lula viva en temps real com l’estudi de la seva funció. Obtenint així una descripció detallada de les interaccions entre proteïnes/gens que es donen dins la cèl•lula. Aquest microscopi serà un instrument sensible, selectiu, ràpid, robust, automatitzat i de cost moderat que realitzarà processos de cribatge d’alt rendiment (High throughput screening) genètics, mèdics, químics i farmacèutics (per aplicacions diagnòstiques i de identificació i selecció de compostos actius) de manera més eficient. Per poder realitzar aquest objectius el microscopi farà ús de les més noves tecnologies: 1)la microscopia òptica i d’imatge, per millorar la visualització espaial i la sensibilitat de l’imatge; 2) la utilització de nous mètodes de detecció incloent els més moderns avanços en nanopartícules; 3) la creació de mètodes informàtics per adquirir, emmagatzemar i processar les imatges obtingudes.

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El projecte ve motivat per cobrir les necessitats de gestió de les empreses de tipus pyme on el seu negoci radica en la compra venda de mercaderies en diferents països, i mitjançant diferents sub - empreses satèl·lits, amb el únic fi de tenir un guany global superior.