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2014TFSC_Messeni_Rotolo_Albino_Biotech_patent_citations_WP20140309.pdf (2.5 MB)

Determinants of patent citations in biotechnology: An analysis of patent influence across the industrial and organizational boundaries

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journal contribution
posted on 2023-06-08, 16:53 authored by Antonio Messeni Petruzzelli, Daniele RotoloDaniele Rotolo, Vito Albino
The present paper extends the literature investigating key drivers leading certain patents to exert a stronger influence on the subsequent technological developments (inventions) than other ones. We investigated six key determinants, as (i) the use of scientific knowledge, (ii) the breadth of the technological base, (iii) the existence of collaboration in patent development, (iv) the number of claims, (v) the scope, and (vi) the novelty, and how the effect of these determinants varies when patent influence—as measured by the number of forward citations the patent received—is distinguished as within and across the industrial and organizational boundaries. We conducted an empirical analysis on a sample of 5671 patents granted to 293 US biotechnology firms from 1976 to 2003. Results reveal that the contribution of the determinants to patent influence differs across the domains that are identified by the industrial and organizational boundaries. Findings, for example, show that the use of scientific knowledge negatively affects patent influence outside the biotechnology industry, while it positively contributes to make a patent more relevant for the assignee's subsequent technological developments. In addition, the broader the scope of a patent the higher the number of citations the patent receives from subsequent non-biotechnology patents. This relationship is inverted U-shaped when considering the influence of a patent on inventions granted to other organizations than the patent's assignee. Finally, the novelty of a patent is inverted-U related with the influence the patent exerts on the subsequent inventions granted across the industrial and organizational boundaries.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

Technological Forecasting and Social Change

ISSN

0040-1625

Publisher

Elsevier

Volume

91

Page range

208-221

Department affiliated with

  • SPRU - Science Policy Research Unit Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2014-03-19

First Open Access (FOA) Date

2014-03-19

First Compliant Deposit (FCD) Date

2014-03-18

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