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on Technology and Industrial Dynamics |
By: | Chiara Franzoni (A. Young School of Policy Studies, Georgia State University, USA); Francesco Lissoni (Università di Brescia and CESPRI-Università Commerciale Bocconi, Milano, Italy) |
Abstract: | The paper proposes a definition of “academic entrepreneur” which draws from draws from the economics, history, and sociology of science. Academic entrepreneurs are scientists with a brilliant scientific record, who build their careers through discipline-building, the creation and of new labs and teams, and an appetite for the economic resources necessary to pursue those goals. Long-standing institutional features of national university systems explain to what extent commercial activities may or may not help academic entrepreneurs to progress in their careers. European policies for technology transfer should address these features, rather than aiming straight at university patenting and firm creation. |
Keywords: | Academic entrepreneurship, Technology transfer |
JEL: | I23 M13 O31 |
Date: | 2006–09 |
URL: | http://d.repec.org/n?u=RePEc:cri:cespri:wp180&r=tid |
By: | Simon C. Parker (Durham University); Mirjam C. van Praag (Universiteit van Amsterdam) |
Abstract: | We analyse the decision to become an entrepreneur by either taking over an established business or starting a new venture from scratch. A model is developed which predicts how several individual- and firm-specific characteristics influence entrepreneurs\' entry mode. The new venture creation mode is associated with higher levels of schooling and wealth, whereas managerial experience, new venture start-up capital requirements and risk promote the takeover mode. Entrepreneurs whose parents run a family firm are predicted to invest the least in schooling, since schooling reduces search costs and these individuals have the lowest probability of needing to search for a business opportunity outside their family. A sample of data on entrepreneurs from the Netherlands provides broad support for the theory; implications for policy-makers concerned about the survival of family firms lacking within-family successors are discussed. |
Keywords: | entrepreneurship; human capital; business takeover; venture start up; family firm |
JEL: | J24 M13 |
Date: | 2006–10–11 |
URL: | http://d.repec.org/n?u=RePEc:dgr:uvatin:20060089&r=tid |
By: | Lynne G. Zucker; Michael R. Darby; Jonathan Furner; Robert C. Liu; Hongyan Ma |
Abstract: | The rate of regional growth of new knowledge in the field of nanotechnology, as measured by counts of articles and patents in the open-access digital library NanoBank, is shown to be positively affected both by the size of existing regional stocks of recorded knowledge in all scientific fields, and the extent to which tacit knowledge in all fields flows between institutions of different organizational types. The level of federal funding has a large, robust impact on both publication and patenting. The data provide further support for the cumulative advantage model of knowledge production, and for ongoing efforts to institutionalize channels through which cross-organizational collaboration may be achieved. |
JEL: | O31 O33 R11 Z13 |
Date: | 2006–11 |
URL: | http://d.repec.org/n?u=RePEc:nbr:nberwo:12669&r=tid |
By: | Roediger-Schluga, Thomas (Department of Technology Policy, ARC Systems Research); Barber, Michael J. (Centro de Ciências Matemáticas, Universidade da Madeira) |
Abstract: | Using a large and novel data source, we study the structure of R&D collaboration net-works in the first five EU Framework Programmes (FPs). The networks display proper-ties typical for complex networks, including scale-free degree distributions and the small-world property. Structural features are common across FPs, indicating similar network formation mechanisms despite changes in governance rules. Several findings point towards the existence of a stable core of interlinked actors since the early FPs with integration increasing over time. This core consists mainly of universities and research organisations. We observe assortative mixing by degree of projects, but not by degree of organisations. Unexpectedly, we find only weak association between central projects and project size, suggesting that different types of projects attract different groups of actors. In particular, large projects appear to have included few of the pivotal actors in the networks studied. Central projects only partially mirror funding priorities, indicating field-specific differences in network structures. The paper concludes with an agenda for future research. |
Keywords: | R&D collaboration, EU Framework Programmes, Complex Networks, Small World Effect, Centrality Measures, European Research Area |
JEL: | L14 O38 Z13 |
Date: | 2006 |
URL: | http://d.repec.org/n?u=RePEc:dgr:unumer:2006036&r=tid |
By: | Darlene C. Chisholm; Margaret S. McMillan; George Norman |
Abstract: | We present an empirical analysis of product differentiation using a new dynamic panel data set on film programming choice in a major U.S. metropolitan motion-pictures exhibition market. Using these data, we compute two measures of film programming choice which allow us to investigate the determinants of strategic product differentiation in a multi-characteristics space. Our evidence is consistent with the idea that the degree of product differentiation between theatre pairs reflects a balance between strategic concerns and contractual constraints. Similarity in one dimension is offset by differentiation in others. Finally, we find that ownership matters: theatres under common ownership make more similar programming choices than theatres with different owners. |
JEL: | C33 L11 L82 |
Date: | 2006–10 |
URL: | http://d.repec.org/n?u=RePEc:nbr:nberwo:12646&r=tid |