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Jeanette Stohr - Evolution of Technological Profiles in the European Life Sciences Industry

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Jeanette Stohr

Evolution of Technological Profiles in the European Life Sciences Industry

Series: Karlsruher Beiträge zur wirtschaftspolitischen Forschung - Karlsruhe Papers in Economic Policy Research

Volume 33 2013

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Titelei/Inhaltsverzeichnis S. 2-14

Figures S. 15-16

Tables S. 17-18

Abbreviations S. 19-20

Variables S. 21-22

Phenomenon of technological diversification S. 23-26

Systems of innovation S. 26-27

Objective of the thesis S. 27-30

Technology – a conceptualisation S. 31-33

Technological trajectories and paradigms – the search for technological solutions S. 33-37

Technology life cycles – the evolution of new technologies S. 37-38

Technological change as a path dependent process S. 38-40

National systems of innovation S. 40-43

Sectoral and technological systems of innovation S. 43-46

Comparison of the innovation system approaches S. 46-48

Dynamics of innovation systems: The multi-level perspective S. 48-50

Combining the multi-level framework and the systems of innovation approach S. 50-55

Research theses S. 55-56

Indicators of technological innovation S. 56-61

Technology classification scheme S. 61-63

Database and sample S. 63-67

Technological performance in the life sciences S. 67-70

Tracing technological trajectories using knowledge base indicators S. 70-90

Patterns of technological specialisation in the life sciences S. 90-94

Concluding remarks to Chapter II S. 94-96

Determinants of technological diversification S. 97-104

Effects of technological diversification S. 104-107

Evolutionary theory of the firm S. 107-108

Resource-based view of the firm S. 108-109

Research theses S. 109-110

Selection of the firm sample S. 110-113

Data extraction and processing S. 113-114

Technological performance in the life sciences industry S. 114-117

Patterns of technological specialisation S. 117-125

Patterns of technological diversification S. 125-136

Concluding remarks to Chapter III S. 136-140

Similarity/distance measures S. 141-143

Clustering algorithms S. 143-144

k-means algorithm S. 144-145

Example – Proceeding of k-means algorithm S. 145-151

Data set and proceeding S. 151-153

Assignment to the clusters – national perspective S. 153-155

Assignment to the clusters – sectoral perspective S. 155-166

Concluding remarks to Chapter IV S. 166-168

Summary and conclusions S. 169-178

References S. 179-188

Annex S. 189-215

doi.org/10.5771/9783845251356

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