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7. Determinants of Patent Citations in Biotechnology: An Analysis of Patent Influence Across the Industrial and Organizational Boundaries

Author

Petruzzelli, Antonio Messeni, Rotolo, Daniele, and Albino, Vito

Subjects
Computer Science - Digital Libraries
Abstract

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., Comment: Technological Forecasting and Social Change (2014)

Published
2014

18. Green Economy

Author

Albino, Vito, Taticchi, Paolo, editor, Carbone, Paolo, editor, and Albino, Vito, editor

Published
2013
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34. Premessa

Author

Albino, Vito

Published
2022

45. Supply chain cooperation in industrial districts: A simulation analysis

Author

Albino, Vito, Carbonara, Nunzia, and Giannoccaro, Ilaria

Subjects
Industrial districts -- Analysis, Logistics -- Analysis, Business, Business, general, Business, international
Abstract

To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.ejor.2005.12.007 Byline: Vito Albino, Nunzia Carbonara, Ilaria Giannoccaro Keywords: Supply chain management; Multi-agent systems; Industrial districts; Simulation Abstract: In the past few years the literature on supply chain management has widely emphasized that cooperation among supply chain (SC) firms is a key source of competitive advantage. This paper explores the topic in a particular context, i.e. the industrial district (ID), which constitutes a specific production model where complex SC networks can be identified. SC cooperation may take on several forms in IDs and may produce several benefits (e.g. upgrading quality and reducing costs) so this paper also analyzes the benefits of a specific form of SC cooperation in different competitive scenarios and for diverse ID organizational structures. An agent-based model of SC cooperation in IDs has been developed and a simulation analysis carried out. Author Affiliation: Dipartimento di Ingegneria Meccanica e Gestionale, Politecnico di Bari Viale Japigia 182, 70126 Bari, Italy Article History: Received 18 November 2003; Accepted 27 November 2005

Published
2007

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