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Incubator performance: an efficiency frontier analysis

Author

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  • Lise Aaboen
  • Peter Lindelof
  • Hans Lofsten

Abstract

Assessments and evaluations of incubators has been a topic of discussion for as long as incubators have been in existence due to the fact that there has not been an agreement on how to determine good performance. This paper demonstrates the use of Data Envelopment Analysis (DEA) when studying performance of incubators. More specifically, it does so within the four dimensions of cooperation with universities, business networks, external funding and competence development on a sample of 16 Swedish incubators. We show that DEA enables us to measure non-numerical dimensions, and to simultaneously take into account the efforts made by both the incubator and the outcomes. Moreover, DEA provides benchmarks and, based on a model that divides the incubators into four different groups, illustrates the difference between the benchmark and the incubators' current situation.

Suggested Citation

  • Lise Aaboen & Peter Lindelof & Hans Lofsten, 2008. "Incubator performance: an efficiency frontier analysis," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 2(4), pages 354-380.
    • Handle: RePEc:ids:ijbire:v:2:y:2008:i:4:p:354-380
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    Cited by:

    1. Fadzlan Sufian & Fakarudin Kamarudin, 2017. "Forced Mergers on Bank Efficiency and Productivity: Evidence from Semi-parametric Malmquist Productivity Index," Global Business Review, International Management Institute, vol. 18(1), pages 19-44, February.
    2. Hans Löfsten, 2016. "New technology-based firms and their survival: The importance of business networks, and entrepreneurial business behaviour and competition," Local Economy, London South Bank University, vol. 31(3), pages 393-409, May.
    3. Hans Löfsten, 2016. "Industrialization of hybrid electric vehicle technology: identifying critical resource dimensions," The Journal of Technology Transfer, Springer, vol. 41(2), pages 349-367, April.

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