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Jan M. Gerken
Jan M. Gerken
Institute of Project Management and Innovation (IPMI), University of Bremen, Wilhelm-Herbst-Str.12, 28359 Bremen, Germany
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Martin G. Moehrle
Martin G. Moehrle
Institute of Project Management and Innovation (IPMI), University of Bremen, Wilhelm-Herbst-Str.12, 28359 Bremen, Germany
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Abstract
Given that in terms of technology novel inventions are crucial factors for companies; this article contributes to the identification of inventions of high novelty in patent data. As companies are confronted with an information overflow, and having patents reviewed by experts is a time-consuming task, we introduce a new approach to the identification of inventions of high novelty: a specific form of semantic patent analysis. Subsequent to the introduction of the concept of novelty in patents, the classical method of semantic patent analysis will be adapted to support novelty measurement. By means of a case study from the automotive industry, we corroborate that semantic patent analysis is able to outperform available methods for the identification of inventions of high novelty. Accordingly, semantic patent information possesses the potential to enhance technology monitoring while reducing both costs and uncertainty in the identification of inventions of high novelty.
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