49,051 research outputs found

    Enterprise and entrepreneurship education : guidance for UK higher education providers : draft for consultation

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    Boosting Innovation and Productivity in Enterprises: What Works?

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    A return to economic growth and higher employment requires growth in the number and sustainability of Irish enterprises. Innovation at enterprise level is essential for sustainability and competitiveness and plays a major role in increasing overall productivity. Understanding the determinants of enterprise innovation and how it affects productivity is important for designing effective innovation policies. The tight fiscal constraints and the urgency of achieving successful outcomes require that government policies aimed at enhancing enterprise innovation and raising productivity need to be very effective. This paper draws on recent international theoretical and empirical literature based on enterprise level data to explore four questions: Does innovation contribute to higher productivity? Which types of enterprises invest in innovation? Which enterprises have higher innovation expenditure per employee? Which types of enterprises are more likely to innovate successfully? We then look at what these findings imply for policy in relation to indigenous enterprises, whether the current policy mix is appropriate and how it might become more effective.Productivity

    Knowledge source preferences as determinants of strategic entrepreneurial orientation

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    In the knowledge intensive context, firms’ capacity to integrate external and internal sources of knowledge becomes an important competitive advantage and may distinguish entrepreneurial from conservative firms. This paper explores the proposition that differences in strategic entrepreneurial orientation (EO) across firms may be significantly determined by differences in firms’ preferences regarding knowledge sources. Our research is based on 208 firms operating in knowledge intensive industries in six Central and East European countries (CEEC). We identified three types of firms in terms of patterns of sources of knowledge: external R&D knowledge based firms, in-house knowledge based firms and value chain dependent firms. By using different proxies or different dimensions of EO, we have found that the EO is strongest in firms based on external knowledge. Firms with inhouse based knowledge have an intermediate strength of the EO, and firms dependent on value chains are the least entrepreneurially oriented. We have also found moderate support for grouping different proxies of EO into three dimensions identified in literature – innovativeness, pro-activeness and risk-taking. Value chain firms are not pro-active, have the lowest innovativeness, and are the most risk averse. External knowledge based firms are the most active in all three dimensions of EO, while inhouse knowledge based firms are in an intermediate position. Our results point to strong systemic features of entrepreneurial activities; i.e., EO is inherently different in different sub-populations of firms depending on their patterns of sources of knowledge. It seems that these patterns operate as a moderating factor between performance and the EO, which explains mixed results from the literature

    Determinants of emerging technology commercialization: evidence from MEMS technology

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    The term “emerging technology” refers to new technologies that create substantial changes to industry evolution and enterprise management. Nowadays, such technologies are mainly based on the development of information technology, internet technology, biotechnology and other interdisciplinary areas with potential industrial applications. Although emerging technologies have created opportunities for technological and economic innovation, their “creative destruction” characteristics also result in a very high failure rate in their commercialization processes. Most of the recent studies on the commercialization of emerging technology have focused on developed areas such as the United States, Japan, and the European Union, with few studies on developing countries like China. The present thesis seeks to fill this gap. Taking 112 Chinese MEMS enterprises as a sample, this thesis empirically investigated the determinants of emerging technology in China. Furthermore, a case study (Wuxi BEWIS Sensing Technology, Ltd.) was employed to analyze how these determinants affect the real commercializing process in the Chinese economy. Through multiple regression analysis, the empirical results show that technology property, market conditions, regional innovation network, and enterprise capability are determinants of MEMS commercialization, whereas social environment and policy and regulation do not have significant impacts on the performance of MEMS commercialization.O termo “tecnologia emergente” diz respeito a novas tecnologias que estĂŁo a gerar mudanças substanciais na evolução da indĂșstria e na gestĂŁo das empresas. Atualmente essas tecnologias baseiam-se sobretudo no desenvolvimento da tecnologia de informação, da tecnologia de internet, da biotecnologia e de outras ĂĄreas interdisciplinares com potencial de aplicação industrial. Embora as tecnologias emergentes tenham criado oportunidades para a inovação, tecnolĂłgica e econĂłmica, as suas caracterĂ­sticas de “destruição criativa” tambĂ©m resultaram numa elevada taxa de insucesso nos processos de comercialização. A maioria dos estudos recentes relativos Ă  comercialização de tecnologia emergente tĂȘm-se focado em regiĂ”es desenvolvidas tais como os Estados Unidos, o JapĂŁo, e a UniĂŁo Europeia, existindo poucos estudos em paĂ­ses em vias de desenvolvimento como Ă© o caso da China. Esta tese procura contribuir para o preenchimento dessa lacuna. Partindo de uma amostra de 112 empresas chinesas de sistemas microeletromecĂąnicos (MEMS), procurou-se investigar empiricamente os determinantes de tecnologia emergente na China. AlĂ©m disso, foi efetuado um estudo de caso (Wuxi BEWIS Sensing Technology, Ltd.) para analisar como esses determinantes afetam o processo real de comercialização na economia chinesa. Os resultados empĂ­ricos, obtidos atravĂ©s de anĂĄlises de regressĂŁo mĂșltipla, mostram que a propriedade tecnolĂłgica, as condiçÔes de mercado, a rede regional de inovação e a capacidade empresarial sĂŁo determinantes para a comercialização de MEMS. Por outro lado, constata-se que o ambiente social, a polĂ­tica e a regulamentação nĂŁo tĂȘm impactos significativos no desempenho da comercialização de MEMS

    Enterprise Patent Control Ability (Concept, Attribute and Evaluation)

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    To explore and construct the theoretical system of research on the control ability of enterprise patent. [Method/process] Using the method of Literature research and survey, from the three dimensions of enterprise patent control technology, product and market to define the concept of enterprise patent control ability and set up the evaluation index system, analysis of the attributes of patent control ability of enterprise. Including dynamics, relativity, value and interest of two sides [Result/conclusion] the research results shows that the patent control ability of enterprise is to control core technologies through patent creation, application, protection, management and other activities, so as to control the supply and demand of specific products, ultimately affect and control specific competitors in specific regions, control industrial competition pattern and occupy the high end of the industrial value chain. Enterprise patent control ability is an important scale to evaluate the realistic status of enterprise and an important tool to predict the development trend of enterprise and industries. Keywords: Patent technology, Patent products, Patent market. DOI: 10.7176/JESD/11-8-08 Publication date: April 30th 202

    Divergence or Convergence in Research and Development and Innovation Between ‘East’ and ‘West’?

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    Book description: Research suggests that innovation and technological change are crucial for the economic recovery of the former centrally planned countries in Central and Eastern Europe. This book analyses the development of innovation systems and technology policy in this region from various perspectives, demonstrating not only its importance but also its complexity
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