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Entrepreneurship and Innovation in the Knowledge Based Economy
Bocconi University, Milan - Italy. 5-6-7 September 2012
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The AEGIS project aims to analyze knowledge-intensive entrepreneurship and related strategies and policies from a variety of disciplines and research methodologies such as economics, organization theory, strategic management, finance, economic history, economic geography, sociology, science and technology studies, and policy studies.

  • The whole spectrum of analytical techniques will be employed, from qualitative techniques and case studies to modeling and sophisticated statistical and econometric analysis, as well as advanced policy analysis
  • Breaking ranks with the traditional person-centric literature on entrepreneurship, this project will concentrate primarily on organizations and institutions as factors that strongly shape the dynamic organizational capabilities which are the core of knowledge-intensive entrepreneurship. 
  • First set of work packagesknowledge-intensive entrepreneurship and innovation - knowledge-intensive entrepreneurship in high-tech sectors, low-tech sectors and service sectors; the role of demand and public procurement in stimulating knowledge-intensive entrepreneurship and innovation; the social and cultural dimension of knowledge-intensive entrepreneurship; the organization and strategies for knowledge-intensive entrepreneurship.
  • Second set of work packagesknowledge-intensive entrepreneurship, innovation and economic growth - knowledge-intensive entrepreneurship and national systems of innovation, varieties of capitalism in Europe, and the emergence of clusters.
  • Third set of work packageseffects of newly created knowledge on economic growth and social well-being.
  • Fourth set of work packagescollection, synthesis and interpretation of the information for EU15 and new member countries - dynamics of knowledge-intensive entrepreneurship in Europe and in China, India and Russia; policy recommendations for the design and implementation of new/improved policy tools for greater effectiveness in the transformation of knowledge into economic value and social benefits.
  • Horizontal work packages: creation of the data to support the analysis in the other WP.