28 resultados para access to knowledge
Resumo:
The research is concerned with the terminological problems that computer users experience when they try to formulate their knowledge needs and attempt to access information contained in computer manuals or online help systems while building up their knowledge. This is the recognised but unresolved problem of communication between the specialist and the layman. The initial hypothesis was that computer users, through their knowledge of language, have some prior knowledge of the subdomain of computing they are trying to come to terms with, and that language can be a facilitating mechanism, or an obstacle, in the development of that knowledge. Related to this is the supposition that users have a conceptual apparatus based on both theoretical knowledge and experience of the world, and of several domains of special reference related to the environment in which they operate. The theoretical argument was developed by exploring the relationship between knowledge and language, and considering the efficacy of terms as agents of special subject knowledge representation. Having charted in a systematic way the territory of knowledge sources and types, we were able to establish that there are many aspects of knowledge which cannot be represented by terms. This submission is important, as it leads to the realisation that significant elements of knowledge are being disregarded in retrieval systems because they are normally expressed by language elements which do not enjoy the status of terms. Furthermore, we introduced the notion of `linguistic ease of retrieval' as a challenge to more conventional thinking which focuses on retrieval results.
Resumo:
A recent, comprehensive database is used to investigate the link between inward foreign direct investment (FDI) and innovation activity in China. The results of the analysis suggest that private and collectively owned firms with foreign capital participation and those with good access to domestic bank loans innovate more than other firms do. Among enterprises not owned by the state, inward FDI at the sectoral level is positively associated with domestic innovative activity only among firms that engage in their own research and development or that have good access to domestic finance. At the sector level the effect of inward FDI into technology transfer is distinguished from the effect on domestic credit opportunities. FDI affecting credit is of little significance for state-owned enterprises and is independent of their access to finance. In contrast, better access to credit is an important channel through which FDI affects the innovation of domestic private and collectively owned enterprises.
Babies, bodies and entitlement: gendered aspects of access to citizenship in the Republic of Ireland
Resumo:
Since the mid-1990s, automatic citizenship for children born in the Republic has been a source of growing debate against a backdrop of increasing immigration and the peace process. In June 2004, the debate culminated in a referendum, opening the way to a constitutional amendment that attaches residence qualifications to the hitherto unfettered entitlement to citizenship available through ius soli. Arguments for the amendment were couched in terms of a threat posed by Third World women having babies in Ireland to obtain residence, and a putative obligation to the EU to harmonise citizenship laws. This article explores how pregnant foreign women’s bodies became a site of perplexity about the borders of the twenty-first century Irish nation. It is therefore suggested that neither the ‘racial state’ theories nor feminist theories of the nation-state account fully for this. On closer inspection, the seemingly sui generis case of the Irish referendum is therefore fruitful in that it demands further reflection in terms of bridging gaps in the existing theory.
Resumo:
Universities are encouraged to widen access to a broad range of applicants, including mature students taking Access qualifications. Admissions tutors can find it difficult to compare and choose between Access and A-level applications, and Access applicants for popular courses may be disadvantaged relative to students with good A-levels. In this evaluative case study a foundation year designed to avoid Access selection problems and widen participation in psychology, biology, optometry and pharmacy is reviewed. Progression and success rates are compared to national averages for Access courses and issues in Foundation Year management considered. The Foundation Year is rejected as unsatisfactory and it is concluded that widening participation for mature students can be achieved through Access courses. Difficulties in achieving this for high-demand courses in leading universities are discussed.
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Editorial: The contributions to this special issue of the International Journal of Technology Management are all based on selected papers presented at the European Conference on Management of Technology held at Aston University, Birmingham, UK in June 1995. This conference was held on behalf of the International Association for Management of Technology (IAMOT) and was the first of the association’s major conferences to be held outside North America. The overall theme of the conference was ‘Technological Innovation and Global Challenges’. Altogether more than 130 papers were presented within four sub-themes and twenty seven topic sessions. This special issue draws on papers within five difference topic sessions: ‘Small firm linkages’; ‘The global company’; ‘New technology based firms’; ‘Financing innovation’; ‘Technology and development’. Together they cover a wide range of issues around the common question of accessing resources for innovation in small and medium sized enterprises. They present a global perspective on this important subject with authors from The Netherlands, Canada, USA, Ireland, France, Finland, Brazil and UK. A wide range of subjects are covered including the move away from public support for innovation, the role of alliances and networks, linkages to larger enterprises and the social implications associated with small enterprise innovation in developing countries.
Resumo:
From Experience to Knowledge in ELT investigates the developing discourses of English Language teachers in a variety of international contexts. By analysing how professional development takes place through participation in professional discourse, the chapters shed light on what teachers do and why they do it. - Better understand what they have already learned through their teaching - use that new understanding to develop their teaching - prepare to gain a recognised qualification (such as the Cambridge Teacher Knowledge Test) Using short extracts from published course books as examples, From Experience to Knowledge in ELT offers the teacher reliable procedures and alternatives, as well as ways of thinking about developing a personal teaching style.
Resumo:
The topic of this thesis is the development of knowledge based statistical software. The shortcomings of conventional statistical packages are discussed to illustrate the need to develop software which is able to exhibit a greater degree of statistical expertise, thereby reducing the misuse of statistical methods by those not well versed in the art of statistical analysis. Some of the issues involved in the development of knowledge based software are presented and a review is given of some of the systems that have been developed so far. The majority of these have moved away from conventional architectures by adopting what can be termed an expert systems approach. The thesis then proposes an approach which is based upon the concept of semantic modelling. By representing some of the semantic meaning of data, it is conceived that a system could examine a request to apply a statistical technique and check if the use of the chosen technique was semantically sound, i.e. will the results obtained be meaningful. Current systems, in contrast, can only perform what can be considered as syntactic checks. The prototype system that has been implemented to explore the feasibility of such an approach is presented, the system has been designed as an enhanced variant of a conventional style statistical package. This involved developing a semantic data model to represent some of the statistically relevant knowledge about data and identifying sets of requirements that should be met for the application of the statistical techniques to be valid. Those areas of statistics covered in the prototype are measures of association and tests of location.
Resumo:
Practitioners and academics are in broad agreement that, above all, organizations need to be able to learn, to innovate and to question existing ways of working. This thesis develops a model to take into account, firstly, what determines whether or not organizations endorse practices designed to facilitate learning. Secondly, the model evaluates the impact of such practices upon organizational outcomes, measured in terms of products and technological innovation. Researchers have noted that organizations that are committed to producing innovation show great resilience in dealing with adverse business conditions (e.g. Pavitt, 1991; Leonard Barton, 1998). In effect, such organizations bear many of the characteristics associated with the achievement of ‘learning organization’ status (Garvin, 1993; Pedler, Burgoyne & Boydell, 1999; Senge, 1990). Seven studies are presented to support this theoretical framework. The first empirical study explores the antecedents to effective learning. The three following studies present data to suggest that people management practices are highly significant in determining whether or not organizations are able to produce sustained innovation. The thesis goes on to explore the relationship between organizational-level job satisfaction, learning and innovation, and provides evidence to suggest that there is a strong, positive relationship between these variables. The final two chapters analyze learning and innovation within two similar manufacturing organizations. One manifests relatively low levels of innovation whilst the other is generally considered to be outstandingly innovative. I present the comparative framework for exploring the different approaches to learning manifested by the two organizations. The thesis concludes by assessing the extent to which the theoretical model presented in the second chapter is borne out by the findings of the study. Whilst this is a relatively new field of inquiry, findings reveal that organizations have a much stronger chance of producing sustained innovation where they manage people proactively where people process themselves to be satisfied at work. Few studies to date have presented empirical evidence to substantiate theoretical endorsements to engage in higher order learning, so this research makes an important contribution to existing literature in this field.
Resumo:
This paper aims to investigate the linkage between the use of external advice and access to finance for small and medium-sized enterprises (SMEs) in the UK, with particular consideration of differences in personal characteristics: gender, ethnicity and education. The approach adopted for the research is a telephone survey conducted by the Barclays small business research team in late 2005 on behalf of the authors. These data are quantitative in nature and involve a large sample of 400 SMEs with specific questions analysed by gender, ethnicity and education level. The approach adopted is robust and empirically sound and is a long established research methodology. We find that there appears to be a correlation between the provision of external advice and the ability to raise bank finance. Furthermore, there are clear gender, ethnic and educational differentials in the use of particular sources of advice, for example: Gender • men and women are equally likely to use accountants as sources of advice. • men are more likely to use family and friends and solicitors. • women, however, are around twice as likely to access external advice from Business Link and Enterprise Agencies. Ethnicity • family and friends is predominant amongst Asians or black respondents and the other ethnic group, which is also slightly true of accountants and solicitors. • ethnic minority respondents were considerably less likely to use Business Link/ Enterprise Agencies. Education • graduates are most likely to use solicitors and accountants, whilst they are very low users of advice from family and friends and Business Links/Enterprise Agencies. • O level and A level educated respondents predominate in family and friends and Business Link/ Enterprise Agencies.
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Black and minority ethnic graduate entrepreneurs: motivations, characteristics and access to finance
Resumo:
This paper draws upon four case studies to examine characteristics, entrepreneurial motivations and access to finance of black and minority ethnic (BME) graduates in the UK. We find that BME graduates starting a business are motivated by a desire to “do better”, and rely heavily on personal savings and family sources for start-up capital. In addition: • There is no conclusive evidence that suggests in this study that BME graduates entered entrepreneurship because of unemployment; with the exception of a few, all had jobs prior to entering self employment. • “Glass ceilings” were often cited by participants of the case studies as a kind of barrier, but there was reluctance to specify exactly what that meant. • Also, lack of satisfaction from working for others is considered to be a strong motivator for entering self-employment but other reasons, to be one’s own boss and the prospect of higher earnings, are also strong motivators. There is, therefore, a need for support agencies and universities to recognise the distinctive nature of BME graduate enterprise in order to provide effective solutions for different groups. This might include a) work experience, b) advice on an adequate capital structure at start up, c) adequate funding and training, and d) appropriate training for all graduates in basic business education.
Resumo:
This aim of this paper, from a study funded by the National Council for Graduate Entrepreneurship (NCGE), is to explore access to finance for ethnic minority graduate entrepreneurs (EMGEs) with a particular focus on comparisons between different ethnic groups, and men and women. The authors interviewed selected individuals based upon a review of literature on finance for ethnic minority enterprise. A number of key results from the survey, in that EMGEs: • use external finance significantly (more so than non graduates) and encounter barriers in accessing finance at start-up, in particular those belonging to poor families. • rely excessively on personal savings and family finance, at the start-up and long after the start-up stage, that has implications for the optimal capital structure. • start up businesses that are, on average, larger than non-graduate enterprises and have the potential to reduce economic inactivity amongst the ethnic population. • have, in contrast to general graduate start-ups, a high level of unemployment, take a longer period of time to enter employment and there is a higher level of dissatisfaction with career progression. These findings raise the question whether the right financial advice is taken and whether this behaviour constrains EMGEs' expansion.
Resumo:
The success of the Semantic Web, as the next generation of Web technology, can have profound impact on the environment for formal software development. It allows both the software engineers and machines to understand the content of formal models and supports more effective software design in terms of understanding, sharing and reusing in a distributed manner. To realise the full potential of the Semantic Web in formal software development, effectively creating proper semantic metadata for formal software models and their related software artefacts is crucial. In this paper, a methodology with tool support is proposed to automatically derive ontological metadata from formal software models and semantically describe them.
Resumo:
To date, more than 16 million citations of published articles in biomedical domain are available in the MEDLINE database. These articles describe the new discoveries which accompany a tremendous development in biomedicine during the last decade. It is crucial for biomedical researchers to retrieve and mine some specific knowledge from the huge quantity of published articles with high efficiency. Researchers have been engaged in the development of text mining tools to find knowledge such as protein-protein interactions, which are most relevant and useful for specific analysis tasks. This chapter provides a road map to the various information extraction methods in biomedical domain, such as protein name recognition and discovery of protein-protein interactions. Disciplines involved in analyzing and processing unstructured-text are summarized. Current work in biomedical information extracting is categorized. Challenges in the field are also presented and possible solutions are discussed.