This research project contains the results of a study jointly
commissioned by the Institute for Intellectual Property (IPI) to the
Institute of Technology Management (ITEM) at the University of St.
Gallen (HSG) and the Chair of Economics and Management of Innovation
(CEMI) at the College of Management of Technology, École
Polytéchnique Fédérale de Lausanne (EPFL).
The purpose of this study is to analyse how, why, and to which extent Swiss small and medium enterprises (SMEs) use or do not use the intellectual property rights (IPR) measures the Swiss IP system offers, and to elaborate policy recommendations on the basis of these analyses.
The project report comprises six sections: A comprehensive literature review (chapter 2), an econometric analysis of the Swiss Innovation Survey conducted by the Konjunkturforschungsstelle at ETH Zurich (henceforth denominated ‘KOF data’) (chapter 3), an econometric analysis of a survey of SMEs conducted by IPI itself (chapter 4), an econometric analysis that matches the findings of the IPI study with external patent data (chapter 5), an integrative analysis that comments on the commonalities and differences of these analyses and explores them in greater detail by using additional qualitative analyses (chapter 6), and a final chapter that elaborates policy recommendations on the basis of these analyses (chapter 7).
At the beginning of each chapter, we provide an overview that summarises what this specific is analysing, and which shows how these analyses are connected to the other chapters. At the end of each chapter, a summary draws up the main findings of the respective chapter and shows how these findings relate to those from other chapters, and how they are used in conjunction with other findings.
SME, small firms, intellectual property, patent, uncertainty, econometrics, analysis, statistical, policy
|type||applied research project|
|start of project||2008|
|end of project||2008|
|principal||Institut für Geistiges Eigentum (IGE), Bern|
intellectual property, geistiges eigentum, management von geistigem
eigentum in KMUs
econometric analysis, quantitative analysis, logit model, log-linear
model, contingency table analysis, cluster analysis
|contact||Marcus Matthias Keupp|