By Franco Malerba, Yannis Caloghirou, Maureen McKelvey, Slavo Radoševic
Knowledge extensive entrepreneurship lies on the middle of the structural shift necessary for the expansion and improvement of an information dependent financial system, but study unearths that the ecu has fewer younger prime innovators, and Europe’s new organizations don't correctly give a contribution to commercial progress. this is often very true within the excessive R&D extensive, high-tech sectors. This structural malaise, undermining Europe’s development capability, is definitely clinically determined, yet poorly understood.
This quantity fills this significant hole by way of exploring new businesses that experience major wisdom depth of their job and enhance and take advantage of leading edge possibilities in diversified sectors. via an evolutionary and systemic method of entrepreneurship, targeting wisdom extensive entrepreneurship as either a micro and a macro phenomena and reading businesses within the context of varied socio-economic versions, the authors discover businesses construction and origins all over the world, their association, suggestions and enterprise versions in addition to the function of innovation structures and associations of their formation and growth.
This entire examine textual content is essential examining for lecturers, researchers and scholars of high-tech and data extensive entrepreneurship in addition to people with an curiosity in business dynamics, innovation administration and public policy.
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Additional info for Dynamics of Knowledge Intensive Entrepreneurship: Business Strategy and Public Policy
1 The relationship between KIE, economic growth and regional development KEINS found that KIE affects economic growth and regional development. 5 per cent) and ICT entrepreneurship (entry in ICT sectors), have a positive role in German regional economic performance. e. high technology sectors or ICT) affects entrepreneurship by providing more entrepreneurial opportunities and entrepreneurship affects economic performance through increase in competition and increase in diversity. What are the main features of KIE in industrial dynamics?
A related topic is how new is ‘new’ when it comes to operationalize the concept to firms in the economy. In entrepreneurship literature and statistics, new is often defined as eight years. Hence ‘new’ firms are defined as firms that are less than eight years old and such a definition has been used as appropriate for the AEGIS survey (see Chapter 3). Usually, this operationalization can also be used for quantitative studies and for crosssectional data based upon official statistics. This can also be used in case studies following the development of KIE ventures in terms of main variables and processes (see Chapters 6 and 7).
The cases mostly offer a managerial perspective on the process, from the Introduction 13 sources of ideas, through opportunities and strategies, to outcomes and interactions with external networks. In Chapter 7, Maureen McKelvey, Daniel Ljungberg and Astrid Heidemann Lassen discuss the different types of opportunities and knowledge which are identified during the start-up phase and realized through the management and development phase of knowledge intensive ventures. The meta-analysis of 86 case studies across different countries and sectors suggests that the creation of opportunities and importance of knowledge networks is as much present in ‘high tech’ as in ‘low tech’ sectors.