 The Emerging Clusters Model: A tool for identifying emerging technologies across multiple patent systemsAnthony Breitzman and Patrick Thomas Research Policy, 2015, vol. 44, issue 1, 195-205 Abstract: Emerging technologies are of great interest to a wide range of stakeholders, but identifying such technologies is often problematic, especially given the overwhelming amount of information available to analysts and researchers on many subjects. This paper describes the Emerging Clusters Model, which uses advanced patent citation techniques to locate emerging technologies in close to real time, rather than retrospectively. The model covers multiple patent systems, and is designed to be extensible to additional systems. This paper also describes the first large scale test of the Emerging Clusters Model. This test reveals that patents in emerging clusters consistently have a significantly higher impact on subsequent technological developments than patents outside these clusters. Given that these emerging clusters are defined as soon as a given time period ends, without the aid of any forward-looking information, this suggests that the Emerging Clusters Model may be a useful tool for identifying interesting new technologies as they emerge. Keywords: Technology; Emergence; Patent; Citation; Forecasting (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:respol:v:44:y:2015:i:1:p:195-205 DOI: 10.1016/j.respol.2014.06.006 Access Statistics for this article Research Policy is currently edited by M. Bell, B. Martin, W.E. Steinmueller, A. Arora, M. Callon, M. Kenney, S. Kuhlmann, Keun Lee and F. Murray More articles in Research Policy from Elsevier |
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