IDEAS home Printed from
   My bibliography  Save this paper

A Mathematical Model for Performance Evaluation in the R&D Laboratories: Theory and Application in Italy



Aim of this paper is to build a method of performance evaluation for research organization, using a systemic approach that considers the interrelations among activities (administrative, scientific, technologic). The method is based on the research laboratories evaluation (relev) function which is a linear combination of seven indices, two financials, two tacit technological transfer, two bibliometrics and one technological. The relev function summarises quantitative, qualitative and cost aspects, it is simple and emphasizes evaluation of R&D outcomes rather than behaviour. The validity of the relev methodology was tested on the National Research Council Institutes operating in North West Italy.

Suggested Citation

  • Mario Coccia, 1999. "A Mathematical Model for Performance Evaluation in the R&D Laboratories: Theory and Application in Italy," CERIS Working Paper 199912, Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY -NOW- Research Institute on Sustainable Economic Growth - Moncalieri (TO) ITALY.
  • Handle: RePEc:csc:cerisp:199912

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters,in: R&D and Productivity: The Econometric Evidence, pages 287-343 National Bureau of Economic Research, Inc.
    2. repec:fth:harver:1473 is not listed on IDEAS
    3. Anthony F J van Raan, 1993. "Advanced bibliometric methods to assess research performance and scientific development: basic principles and recent practical applications," Research Evaluation, Oxford University Press, vol. 3(3), pages 151-166, December.
    Full references (including those not matched with items on IDEAS)

    More about this item

    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:csc:cerisp:199912. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Anna Perin) or (Giancarlo Birello). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.