49 research outputs found

    Entrepreneurial academics and regional innovation systems: the case of spin-offs from London's universities

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    In this paper we explore the spin-off process from London’s universities using a regional innovation systems (RIS) framework. We examine the pattern of spin-offs in the context of changes in institutional support systems, both within the universities and in the London region. The majority of the university-related spin-offs are small and medium-sized enterprises concentrated in biomedical sectors, as elsewhere. However, over a third have left London. We explore these patterns, the implications for understanding the role of universities in RIS, and consequent policy implications

    The role of universities in regional development: conceptual models and policy institutions in the UK, Sweden and Austria

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    The literature on universities’ contributions to regional development is broad and diverse. A precise understanding of how regions may draw advantages from various university activities and the role of public policy institutions in promoting such activities is still missing. The aim of this paper is to provide a framework for analysing universities’ contributions to regional economic and societal development in differing national contexts and the policy institutions that underpin them. To do this, we review four conceptual models: the entrepreneurial university model, the regional innovation system (RIS) model, the mode 2 university model and the engaged university model. The paper demonstrates that these four models emphasize very different activities and outputs by which universities are seen to benefit regional economy and society. It is also shown that these models differ markedly with respect to the policy implications and practice. Analysing some of the public policy imperatives and incentives in the UK, Austria and Sweden, the paper highlights that in the UK, policies encourage all four university models. In contrast, in Sweden and Austria, policy institutions tend to privilege the RIS university model, whilst at the same time, there is some evidence for increasing support of the entrepreneurial university model

    Indicators of university–industry knowledge transfer performance and their implication for universities: evidence from the United Kingdom

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    The issue of what indicators are most appropriate in order to measure the performance of universities in knowledge transfer (KT) activities remains relatively under-investigated. The main aim of this paper is to identify and discuss the limitations to the current measurements of university-industry KT performance, and propose some directions for improvement. We argue that university-industry KT can unfold in many ways and impact many stakeholders, and that, especially in highly differentiated university systems, choosing indicators focused on a narrow range of activities and impacts might limit the ability of universities to accurately represent their KT performance. Therefore, KT indicators should include a variety of activities and reflect a variety of impacts, so as to allow comparability between different institutions and avoid the creation of undesirable behavioural incentives. To illustrate these issues empirically, we discuss the case of the United Kingdom’s Higher Education –Business and Community Interaction (HE-BCI) survey

    Understanding the evolution of the entrepreneurial university:The case of English Higher Education

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    There has been strong policy interest in universities becoming more entrepreneurial and engaging in knowledge exchange activities as part of an expanding third mission agenda. However, our understanding of the evolution and diversity of such activities is limited. Using longitudinal data from the Higher Education Business Community Interaction (HEBCI) Survey, this study examines the evolving configuration of universities' knowledge exchange activities and stakeholders by analysing distinctive clusters of English universities. We find an increasingly diverse profile of third mission activities across different types of universities: within old, more established universities, Russell Group universities increasingly focus on research‐oriented activities typically in partnership with large firms and non‐commercial organisations; while another group engages in a broad range of knowledge exchange activities with low specialisation over time. Newer, less research intensive, universities increasingly rely on activities such as consultancy and formation of spin‐offs. A decreased engagement with small and medium enterprises and a lower share of knowledge exchange activities at the regional level are observed across the time studied for all universities.JRC.B.4-Human Capital and Employmen

    University–industry collaboration: using meta-rules to overcome barriers to knowledge transfer

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    This is the final version of the article. Available from Springer Verlag via the DOI in this record.University–industry knowledge transfer is an important source wealth of creation for all partners; however, the practical management of this activity within universities is often hampered by procedural rigidity either through the absence of decision-making protocols to reconcile conflicting priorities or through the inconsistent implementation of existing policies. This is problematic, since it can impede operational effectiveness, prevent inter-organisational knowledge-creation and hamper organisational learning. This paper addresses this issue by adopting a cross-discipline approach and presenting meta-rules as a solution to aid organisational decision making. It is proposed that meta-rules can help resolve tensions arising from conflicting priorities between academics, knowledge transfer offices and industry and help facilitate strategic alignment of processes and policies within and between organisations. This research contributes to the growing debate on the strategic challenges of managing knowledge transfer and presents meta-rules as a practical solution to facilitate strategic alignment of internal and external stakeholder tensions. Meta-rules has previously only been applied in a computer intelligence context however, this research proves the efficacy of meta rules in a university–industry knowledge transfer context. This research also has practical implications for knowledge transfer office managers who can use meta-rules to help overcome resource limitations, conflicting priorities and goals of diverse internal and external stakeholders
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