Download A Theory of Knowledge Growth by Gianluca Carnabuci PDF

By Gianluca Carnabuci

Why do sure domain names of human wisdom increase speedier than others? This thesis units out to reply to this question by means of elaborating upon the thought that new rules spring from hybridizations of present rules. through the years, such hybridizations shape a path-dependent community constitution of interconnected and interconnecting wisdom domain names. This thesis develops a network-analytic method of version this constitution and to enquire its results. in response to all technological wisdom patented within the usa among 1975 and 1999, this thesis demonstrates that the community place a data area is embedded in at a given cut-off date impacts its next development clients in vital and predictable methods.

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5, which expresses the same figures as shares of total patents granted. The area of Computers & Communications appears to have risen most steeply, producing well over 15% of all patents in the late 1990s from a share of roughly 6% in 1975. Similarly, patents in the area of Drugs & Medical and, to a lesser degree, those in the field of Electric & Electronics became relatively more numerous. In contrast, the areas of Chemical, Mechanical and Others declined from roughly 74% of the total in 1975 to 51% in 1999.

Unique, classification. e. that portion of the disclosure that, in the opinion of the classifying examiner and according to a set of well-specified criteria, most comprehensively typifies the main inventive concept of the application (Earls et al. 1997). Patent classes have been extensively used to indicate domains of technological knowledge. Powell and Snellman (2004) observed longitudinal patenting rates across patent classes to describe the changing importance of technological sectors. Jaffe, Trajtenberg and Henderson (1993) modeled patents’ technological proximity on the bases of their primary patent classification, a methodology adopted also in Almeida (1996), Jaffe and Trajtenberg (1999), Frost (2001), and Hicks cum suis (2001), and refined by Thompson and Fox-Kean (2004).

I. TIME OF PATENT GRANT To instantiate my network model of knowledge growth, domains’ knowledge output can be measured by means of patent or citation counts, while domains’ hybridization patterns can be tracked back on the basis of patent citations (Chapter 2). However, there is no natural scale within which patenting and 44 USPTO patent and patent citations data citation activities can be quantified. Accordingly, knowledge indicators based on patent and citation counts are meaningful only when used comparatively, and to the degree that appropriate comparisons are made.

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