Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
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TY - CHAP
T1 - Growth of technology incubators
T2 - An evolutionary perspective
AU - Van Geenhuizen, Marina
AU - Soetanto, Danny
PY - 2009/12/1
Y1 - 2009/12/1
N2 - Since the introduction of the first university-based technology incubator, this policy tool has gradually transformed under the influence of different (local) circumstances, particularly changes in the relationships between universities, government, and industry. In this chapter, we examine evolutionary changes within the institutional characteristics of technology incubators, and attempt to identify, among other things, the influence these changes have on the growth patterns of incubators. The three institutional characteristics considered include the model of stakeholder involvement (from single to multiple), the model of support (from conventional to value-added), and the overall growth strategy of the incubator (from focused to broad). We use a unique cross-national database of 40 incubators derived from a meta-analysis and apply a relatively new approach that corresponds with small, select samples and qualitative, sometimes fuzzy, data, namely, a rough set analysis. Overall, it appears that the combination of multiple stakeholder involvement and a location in a non-metropolitan area provides the most convincing explanation for strong growth. Conventional support coupled with a focused incubator strategy ranks second in terms of explanatory power, but relates to weak rather than strong growth.
AB - Since the introduction of the first university-based technology incubator, this policy tool has gradually transformed under the influence of different (local) circumstances, particularly changes in the relationships between universities, government, and industry. In this chapter, we examine evolutionary changes within the institutional characteristics of technology incubators, and attempt to identify, among other things, the influence these changes have on the growth patterns of incubators. The three institutional characteristics considered include the model of stakeholder involvement (from single to multiple), the model of support (from conventional to value-added), and the overall growth strategy of the incubator (from focused to broad). We use a unique cross-national database of 40 incubators derived from a meta-analysis and apply a relatively new approach that corresponds with small, select samples and qualitative, sometimes fuzzy, data, namely, a rough set analysis. Overall, it appears that the combination of multiple stakeholder involvement and a location in a non-metropolitan area provides the most convincing explanation for strong growth. Conventional support coupled with a focused incubator strategy ranks second in terms of explanatory power, but relates to weak rather than strong growth.
KW - Academic Spin-Off Companies
KW - Evolutionary Growth
KW - Rough Set Analysis
KW - University-Linked Incubators
U2 - 10.1007/978-3-642-00158-1_7
DO - 10.1007/978-3-642-00158-1_7
M3 - Chapter
AN - SCOPUS:84889859870
SN - 9783642001574
SP - 141
EP - 158
BT - Technological Innovation Across Nations
PB - Springer Berlin Heidelberg
ER -