Avoiding the pitfalls of direct linkage: A novelty-driven approach to measuring scientific impact on patents

• A new patent indicator for assessing the impact of science on patents is developed. • It integrates scientific thesauri knowledge into semantic novelty assessment. • The method is applied to RFID patents. • Construct validity is assessed by an expert survey. • Patents with “science-driven novelty” are more valuable than others. Scientific knowledge plays a major role in the generation of new technological knowledge. We present a new novelty-driven approach to measure the influence of science on patents. We overcome the weaknesses of previous methods based on either citations or semantic similarities, both representing direct linkages between documents. We combine patent novelty measurement with technology-specific, scientific dictionaries, which allow us to measure a patent's nearness to science by stable indirect linkages. We apply our indicator “science-driven novelty” to the testbed of RFID technology and confirm its validity by conducting an expert survey. Subsequently, we test how science impacts patent value, finding that scientific influence increases the average value of a patent. Our results suggest several implications. For academics, we recommend not relying solely on analyzing direct links between papers and patents to determine the influence of science on technology. For management, we provide a new tool to assess scientific influences in patents and thus the value of their company's own patent portfolio as well as the portfolios of third parties. Using text as data, the tool is viable at a very early stage and can be helpful in go/no-go decisions for technology management.

Authors

Institutions

Publication Details

Journal
Journal of Informetrics
Published
2025-02-12
DOI
https://doi.org/10.1016/j.joi.2025.101644
Citations
1
Primary Topic
Intellectual Property and Patents
Type
article
Field-Weighted Citation Impact
2.76
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Avoiding the pitfalls of direct linkage: A novelty-driven approach to measuring scientific impact on patents

Nils M. Denter, Martin G. Moehrle, Joe Waterstraat
1 citations
Journal of Informetrics
Intellectual Property and Patents
2.76
article

Avoiding the pitfalls of direct linkage: A novelty-driven approach to measuring scientific impact on patents

Nils M. Denter, Martin G. Moehrle, Joe Waterstraat
article en
1 citations

Abstract

• A new patent indicator for assessing the impact of science on patents is developed. • It integrates scientific thesauri knowledge into semantic novelty assessment. • The method is applied to RFID patents. • Construct validity is assessed by an expert survey. • Patents with “science-driven novelty” are more valuable than others. Scientific knowledge plays a major role in the generation of new technological knowledge. We present a new novelty-driven approach to measure the influence of science on patents. We overcome the weaknesses of previous methods based on either citations or semantic similarities, both representing direct linkages between documents. We combine patent novelty measurement with technology-specific, scientific dictionaries, which allow us to measure a patent's nearness to science by stable indirect linkages. We apply our indicator “science-driven novelty” to the testbed of RFID technology and confirm its validity by conducting an expert survey. Subsequently, we test how science impacts patent value, finding that scientific influence increases the average value of a patent. Our results suggest several implications. For academics, we recommend not relying solely on analyzing direct links between papers and patents to determine the influence of science on technology. For management, we provide a new tool to assess scientific influences in patents and thus the value of their company's own patent portfolio as well as the portfolios of third parties. Using text as data, the tool is viable at a very early stage and can be helpful in go/no-go decisions for technology management.

Journal of InformetricsVol. 19(2)
University of Bremen (DE)
Openalex Percentile: Top 13%
Intellectual Property and Patents
2.76
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.