A dynamic view on interactions between academic spin-offs and their parent organizations |
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Authors: | Tania Treibich Kornelia Konrad Bernhard Truffer |
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Affiliation: | 1. University of Nice-Sophia Antipolis, GREDEG - CNRS; 250 Rue Albert Einstein, 06560 Valbonne, France;2. Institute of Economics and LEM, Scuola Superiore Sant''Anna, Pisa, Italy;3. OFCE-DRIC, France;4. SKEMA Business School, France;5. Department of Science, Technology and Policy Studies (STePS), University of Twente, The Netherlands;6. Eawag/Cirus, Duebendorf, Switzerland;1. University of León, Faculty of Economics and Business, Campus Vegazana, s.n., León 24071, Spain;2. University of Granada, Faculty of Economics and Business, Campus Cartuja, s.n., Granada 18071, Spain;1. Delft University of Technology, Department of Values Technology and Innovation, Faculty of Technology, Policy and Management, Jaffalaan 5, 2628BX Delft, The Netherlands;2. Wageningen University, Management Studies Group, Hollandseweg 1, NL 6707KN Wageningen, The Netherlands;3. VU University, Strategic Management and Entrepreneurship, Faculty of Economics and Business Administration, Amsterdam, The Netherlands |
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Abstract: | Literature on academic spin-offs gives evidence of different modes of interaction between spin-offs and their parent and their relative role in different modes of knowledge production. In this article, we examine the development of interactions between academic spin-offs and their parent organizations over a mid- to long-term period (4–15 years), drawing on a series of 25 case studies of spin-off/parent pairs from France and Switzerland. We show that the relational trajectories can be captured by four major dynamic patterns. These patterns range from an early cut-off of interactions in line with a linear model of innovation to sustained interactions supporting joint production of knowledge. Some patterns even include a change in the mode of knowledge production over time. In addition, we identify a number of determinants, internal or external to the pair, affecting the dynamic pattern. We conclude that management of spin-off processes and support policies for academic spin-offs should embrace this dynamic diversity. |
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Keywords: | Academic spin-offs Science–industry relations Co-production of knowledge Technology sectors |
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