1,583 research outputs found

    A Statistical Profiling Model of Long-Term Unemployment Risk in Ireland. ESRI WP345. May 2010

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    This paper develops a statistical profiling model of long-term unemployment risk in Ireland using a combination of administrative data and information gathered from a unique questionnaire that was issued to all jobseekers making a social welfare claim between September and December 2006 who were then tracked for eighteen months. We find that factors such as a recent history of long-term unemployment, advanced age, number of children, relatively low levels of education, literacy/numeracy problems, location in urban areas, lack of personal transport, low rates of recent labour market engagement, spousal earnings and geographic location all significantly impact the likelihood of remaining unemployed for 12 months or more. While the predicted probability distribution for males was found to be relatively normal, the female distribution was bimodal, indicating that larger proportions of females were at risk of falling into long-term unemployment. We find evidence that community based employment schemes for combating long-term unemployment have little effect as participants re-entering the register typically experience extended durations. Finally, we argue that the adoption of an unemployment profiling system will result in both equity and efficiency gains to Public Employment Services

    Prisoners of the Capitalist Machine: Captivity and the Corporate Engineer

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    This chapter will focus on how engineering practice is conditioned by an economic system which promotes production for profit and economic growth as an end in itself. As such it will focus on the notion of the captivity of engineering which emanates from features of the economic system. By drawing on Critical Realism and a Marxist literature, and by focusing on the issues of safety and sustainability (in particular the issue of climate change), it will examine the extent to which disasters and workplace accidents result from the economic imperative for profitable production and how efforts by engineers to address climate change are undermined by an on-going commitment to growth. It will conclude by arguing that the structural constraints on engineering practice require new approaches to teaching engineers about ethics and social responsibility. It will argue that Critical Realism offers a framework for the teaching of engineering ethics which would pay proper attention to the structural context of engineers work without eliminating the possibility of engineers working for radical change

    Propelling the Potential of Enterprise Linked Data in Austria. Roadmap and Report

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    In times of digital transformation and considering the potential of the data-driven economy, it is crucial that data is not only made available, data sources can be trusted, but also data integrity can be guaranteed, necessary privacy and security mechanisms are in place, and data and access comply with policies and legislation. In many cases, complex and interdisciplinary questions cannot be answered by a single dataset and thus it is necessary to combine data from multiple disparate sources. However, because most data today is locked up in isolated silos, data cannot be used to its fullest potential. The core challenge for most organisations and enterprises in regards to data exchange and integration is to be able to combine data from internal and external data sources in a manner that supports both day to day operations and innovation. Linked Data is a promising data publishing and integration paradigm that builds upon standard web technologies. It supports the publishing of structured data in a semantically explicit and interlinked manner such that it can be easily connected, and consequently becomes more interoperable and useful. The PROPEL project - Propelling the Potential of Enterprise Linked Data in Austria - surveyed technological challenges, entrepreneurial opportunities, and open research questions on the use of Linked Data in a business context and developed a roadmap and a set of recommendations for policy makers, industry, and the research community. Shifting away from a predominantly academic perspective and an exclusive focus on open data, the project looked at Linked Data as an emerging disruptive technology that enables efficient enterprise data management in the rising data economy. Current market forces provide many opportunities, but also present several data and information management challenges. Given that Linked Data enables advanced analytics and decision-making, it is particularly suitable for addressing today's data and information management challenges. In our research, we identified a variety of highly promising use cases for Linked Data in an enterprise context. Examples of promising application domains include "customization and customer relationship management", "automatic and dynamic content production, adaption and display", "data search, information retrieval and knowledge discovery", as well as "data and information exchange and integration". The analysis also revealed broad potential across a large spectrum of industries whose structural and technological characteristics align well with Linked Data characteristics and principles: energy, retail, finance and insurance, government, health, transport and logistics, telecommunications, media, tourism, engineering, and research and development rank among the most promising industries for the adoption of Linked Data principles. In addition to approaching the subject from an industry perspective, we also examined the topics and trends emerging from the research community in the field of Linked Data and the Semantic Web. Although our analysis revolved around a vibrant and active community composed of academia and leading companies involved in semantic technologies, we found that industry needs and research discussions are somewhat misaligned. Whereas some foundation technologies such as knowledge representation and data creation/publishing/sharing, data management and system engineering are highly represented in scientific papers, specific topics such as recommendations, or cross-topics such as machine learning or privacy and security are marginally present. Topics such as big/large data and the internet of things are (still) on an upward trajectory in terms of attention. In contrast, topics that are very relevant for industry such as application oriented topics or those that relate to security, privacy and robustness are not attracting much attention. When it comes to standardisation efforts, we identified a clear need for a more in-depth analysis into the effectiveness of existing standards, the degree of coverage they provide with respect the foundations they belong to, and the suitability of alternative standards that do not fall under the core Semantic Web umbrella. Taking into consideration market forces, sector analysis of Linked Data potential, demand side analysis and the current technological status it is clear that Linked Data has a lot of potential for enterprises and can act as a key driver of technological, organizational, and economic change. However, in order to ensure a solid foundation for Enterprise Linked Data include there is a need for: greater awareness surrounding the potential of Linked Data in enterprises, lowering of entrance barriers via education and training, better alignment between industry demands and research activities, greater support for technology transfer from universities to companies. The PROPEL roadmap recommends concrete measures in order to propel the adoption of Linked Data in Austrian enterprises. These measures are structured around five fields of activities: "awareness and education", "technological innovation, research gaps, standardisation", "policy and legal", and "funding". Key short-term recommendations include the clustering of existing activities in order to raise visibility on an international level, the funding of key topics that are under represented by the community, and the setup of joint projects. In the medium term, we recommend the strengthening of existing academic and private education efforts via certification and to establish flagship projects that are based on national use cases that can serve as blueprints for transnational initiatives. This requires not only financial support, but also infrastructure support, such as data and services to build solutions on top. In the long term, we recommend cooperation with international funding schemes to establish and foster a European level agenda, and the setup of centres of excellence

    Deconstructing the financialization of healthcare

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    Financialization is promoted by alliances of multilateral 'development' organisations, national governments, and owners and institutions of private capital. In the healthcare sector, the leveraging of private sources of finance is widely argued as necessary to achieve the Sustainable Development Goal 3 target of universal health coverage. Employing social science perspectives on financialization, we contend that this is a new phase of capital formation. We trace the antecedents, institutions, instruments and ideas that facilitated the penetration of private capital in this sector, and the emergence of new asset classes that distinguish it. We argue that this deepening of financialization represents a fundamental shift in the organizing principles for healthcare systems, with negative implications for health and equality

    The growth of knowledge-intensive entrepreneurship in India, 1991-2007 : analysis of its evidence and the facilitating factors

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    There has been a marked improvement in India's overall economic performance since 1991. One of the outcomes of this improved performance is the growth of innovations in the country. This was accompanied by or caused by the emergence of a number of knowledgeintensive enterprises. The paper takes a critical look at the available quantitative evidence on the growth of knowledge-intensive entrepreneurship. It then looks at five facilitating factors for the emergence of this phenomenon in terms of the existence of increased market opportunities, availability of financial support schemes in the form of venture capital funds, existence and enlargement of a number of government programmes, a number of private sector initiatives and education and training leading to the supply of technically trained personnel. The paper concludes with certain policy suggestions for the continued sustenance of this activity. Key words: India, knowledge-intensive entrepreneurship, knowledge process outsourcing venture capital, angel financing, business incubators. JEL Codes: L26, O16, O30, P1

    The role of communicative creativity in starting regional trade relationships with China: An action research practitioner case study

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    The Action Research project studies the role of information management and knowledge generation in establishing overseas political and trade activity to assist regional development in Australia. It is the work of a researcher whose background in information management ranges across more than 30 years working in the newspaper and regional economic development industries. It applies a hybrid term called “communicative creativity” – distilled from Wieman’s (1963) Doctrine of Creative Interchange and Habermas’s (1984) Theory of Communicative Action – to the researcher’s professional practice of facilitating the development of two entities – the economic development organization and its method of facilitating opportunities in China – against Nonaka and Takeuchi’s (1995) Five-Phase Model of the Organisational Creation Process. The thesis describes how the researcher’s previous career and life experience in China are used in the establishment of a model that will assist his current career in regional economic development. It explains the reasons for choosing the Participatory Action Research method and uses the researcher’s personal and professional voices in a multi-vocal, neopragmatic style blended with visual rich picture presentation involving graphics and photos to tell the story. The thesis – with its style and voices – is a soft systems picture in its own right. The research outcome is a knowledge management model for promoting. Selling, organising and conducting a trade mission into China

    Decarbonisation of the shipping industry by 2050: opportunities and challenges in market-based measures

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    The Century of Global Cities

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    Cities are gaining importance and influence worldwide. They sustain the global economy, set cultural trends, produce greenhouse gas emissions and consume energy; they attract migration flows and foster new political waves. While cities were supposed to be declining back in the 1980s, the globalised economy has established them as crucial world hubs leading billions of people on every continent, both at the top and the bottom of the social ladder, to move to cities. Today, global cities cry out for a more prominent role. But why and to what extent do they matter? Can they really stand alone in the global arena? How are they interacting with governments and multilateral organisations? From climate change to connectivity, from inequalities to migration: what is their contribution to key global challenges
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