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Evaluating performance of public–private research collaborations: A DEA analysis

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  • E Revilla

    (Instituto de Empresa, María de Molina)

  • J Sarkis

    (Graduate School of Management, Clark University)

  • A Modrego

    (Universiad Carlos III)

Abstract

The issue of intellectual capital and its measurement is investigated in this paper. We provide an overview of how a data envelopment analysis (DEA) approach was used to investigate some characteristics of performance for joint intersectoral research and development collaboration projects, with a specific emphasis of use of intellectual property (ie, patents) as one of the outcomes of these collaborations. Some knowledge-based factors are investigated in this paper to determine if there is a relationship between these factors and research partnership performance. Of particular focus in this paper, and focusing on the special issue topic, is whether knowledge management and knowledge goals play a role in whether these collaborations perform better or worse. The study is based on empirical data from a programme of technological policy existing in Spain, known as the Concerted Projects.

Suggested Citation

  • E Revilla & J Sarkis & A Modrego, 2003. "Evaluating performance of public–private research collaborations: A DEA analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(2), pages 165-174, February.
    • Handle: RePEc:pal:jorsoc:v:54:y:2003:i:2:d:10.1057_palgrave.jors.2601524
    DOI: 10.1057/palgrave.jors.2601524
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    1. Joly, P. B. & Mangematin, V., 1996. "Profile of public laboratories, industrial partnerships and organisation of R & D: the dynamics of industrial relationships in a large research organisation," Research Policy, Elsevier, vol. 25(6), pages 901-922, September.
    2. Faulkner, Wendy & Senker, Jacqueline, 1994. "Making sense of diversity: public-private sector research linkage in three technologies," Research Policy, Elsevier, vol. 23(6), pages 673-695, November.
    3. Leydesdorff, Loet, 2000. "The triple helix: an evolutionary model of innovations," Research Policy, Elsevier, vol. 29(2), pages 243-255, February.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Rosenberg, Nathan & Nelson, Richard R., 1994. "American universities and technical advance in industry," Research Policy, Elsevier, vol. 23(3), pages 323-348, May.
    6. Pavitt, Keith, 1991. "What makes basic research economically useful?," Research Policy, Elsevier, vol. 20(2), pages 109-119, April.
    7. Lee, Yong S., 1996. "'Technology transfer' and the research university: a search for the boundaries of university-industry collaboration," Research Policy, Elsevier, vol. 25(6), pages 843-863, September.
    8. Lawrence M. Seiford & Joe Zhu, 1999. "Profitability and Marketability of the Top 55 U.S. Commercial Banks," Management Science, INFORMS, vol. 45(9), pages 1270-1288, September.
    9. P.-B. Joly & Vincent Mangematin, 1996. "Profile of public laboratories, industrial partnerships and organisation of R & D: the dynamics of industrial relationships in a large research organisation," Post-Print hal-00422575, HAL.
    10. Patrick L. Brockett & Boaz Golany, 1996. "Using Rank Statistics for Determining Programmatic Efficiency Differences in Data Envelopment Analysis," Management Science, INFORMS, vol. 42(3), pages 466-472, March.
    11. Grosskopf, S. & Valdmanis, V., 1987. "Measuring hospital performance : A non-parametric approach," Journal of Health Economics, Elsevier, vol. 6(2), pages 89-107, June.
    12. Georghiou, Luke & Roessner, David, 2000. "Evaluating technology programs: tools and methods," Research Policy, Elsevier, vol. 29(4-5), pages 657-678, April.
    13. Seiford, Lawrence M. & Zhu, Joe, 1999. "An investigation of returns to scale in data envelopment analysis," Omega, Elsevier, vol. 27(1), pages 1-11, February.
    14. Sueyoshi, Toshiyuki & Aoki, Shingo, 2001. "A use of a nonparametric statistic for DEA frontier shift: the Kruskal and Wallis rank test," Omega, Elsevier, vol. 29(1), pages 1-18, February.
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