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

Massimiliano Agovino, Luigi Aldieri (), Antonio Garofalo () and Concetto Paolo Vinci
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Antonio Garofalo: University of Naples Parthenope

Quality & Quantity: International Journal of Methodology, 2017, vol. 51, issue 4, 1579-1591

Abstract: 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.

Keywords: Multi-dimensional concept; Fuzzy set theory; Technological Innovation Index; Regional economics (search for similar items in EconPapers)
Date: 2017
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Handle: RePEc:spr:qualqt:v:51:y:2017:i:4:d:10.1007_s11135-016-0353-y