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Quality and quantity in the innovation process of firms: a statistical approach

Author

Listed:
  • Massimiliano Agovino

    (University of Naples Parthenope)

  • Luigi Aldieri

    (University of Naples Parthenope)

  • Antonio Garofalo

    (University of Naples Parthenope)

  • Concetto Paolo Vinci

    (University of Salerno)

Abstract

The aim of this paper is to construct a technological index to measure the efficiency level of firms, in such a way that it takes into account simultaneously both the quantity and quality of scientific research. To this end, we use a statistical approach based on fuzzy theory. We explore data for 682 international firms relative to three economic areas, namely the USA, Japan and Europe. Data concerning firms’ patents were obtained from the European Patent Office. We implement a statistical analysis based on fuzzy theory through three steps: (1) choice of the variables; (2) construction of the membership function (mf); (3) calculation of the weights associated with each mf; (4) aggregation of the mf.

Suggested Citation

  • Massimiliano Agovino & Luigi Aldieri & Antonio Garofalo & Concetto Paolo Vinci, 2017. "Quality and quantity in the innovation process of firms: a statistical approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(4), pages 1579-1591, July.
    • Handle: RePEc:spr:qualqt:v:51:y:2017:i:4:d:10.1007_s11135-016-0353-y
    DOI: 10.1007/s11135-016-0353-y
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    References listed on IDEAS

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