2016•Palgrave Macmillan US eBooksOpen access

Scandinavian Flagship Universities: An Appraisal of Leading National Universities in the European Context

Bjørn Stensaker, Tatiana Fumasoli

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Abstract

In the immediate post-Sputnik era, Clark Kerr saw America’s breed of universities as “multiversities,” characterized by growing enrollment, an increasingly diversified academic community, and as the emerging driver of knowledge production and innovation (Kerr 2001: xi). This is now a widely shared vision throughout the world. Governments have provided additional funding, fueling further growth in academic programs and attracting talent. One result: the number of perceived stakeholders has increased, along with their expectations. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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In the immediate post-Sputnik era, Clark Kerr saw America’s breed of universities as “multiversities,” characterized by growing enrollment, an increasingly diversified academic community, and as the emerging driver of knowledge production and innovation (Kerr 2001: xi). This is now a widely shared vision throughout the world. Governments have provided additional funding, fueling further growth in academic programs and attracting talent. One result: the number of perceived stakeholders has increased, along with their expectations. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Available abstract

In the immediate post-Sputnik era, Clark Kerr saw America’s breed of universities as “multiversities,” characterized by growing enrollment, an increasingly diversified academic community, and as the emerging driver of knowledge production and innovation (Kerr 2001: xi). This is now a widely shared vision throughout the world. Governments have provided additional funding, fueling further growth in academic programs and attracting talent. One result: the number of perceived stakeholders has increased, along with their expectations. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Key concepts: Context (archaeology), Academic community, Political science, Public relations, Business, Economic growth, Geography, Sociology

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