• Welcome
  • News
  • Team
    • Team
    • Alumni
    • Gallery
  • Research
    • Focus
    • Projects
    • Publications
  • Teaching
    • Current Courses
    • Upcoming Courses
    • Open Theses
  • Collaborate

Crowdsourcing in Patent Examination: Overcoming Patent Examiners’ Local Search Bias

Journal Article
R&D Management, 53(5), 764-777
Author

Hannes W. Lampe

Published

January 1, 2023

Doi

10.1111/radm.12597

Abstract
This article investigates how crowdsourcing for knowledge creation in a crucial knowledge‐intense task – patent application examination – informs decision‐making. It is hypothesized that patent examiners’ views underly a local search bias (i.e., they rely on locally preferred and conveniently available local information), which may be overcome through crowdsourcing. To analyze this potential effect of crowdsourcing, this study analyzes USPTO’s Peer To Patent initiative, opening the patent examination process to public participation for the first time. The data from this initiative is further enhanced with data from the PatentsView database and the Patent Examination Research Database. The study results provide the first empirical evidence that crowdsourcing aids a patent examination process in overcoming the examiner’s local search bias – their over‐reliance on internal knowledge. In particular, it is found that crowdsourcing in patent examination increases examiners’ reliance on atypical and less formalized knowledge. Overall, these findings enable several theoretical and practical recommendations.

Research

© Anne Gärtner

  • Journal Article
  • R&D Management
  • 2023
  • Vol. 53(5), pp. 764-777
  • DOI

Authors

Hannes W. Lampe

Abstract

This article investigates how crowdsourcing for knowledge creation in a crucial knowledge‐intense task – patent application examination – informs decision‐making. It is hypothesized that patent examiners’ views underly a local search bias (i.e., they rely on locally preferred and conveniently available local information), which may be overcome through crowdsourcing. To analyze this potential effect of crowdsourcing, this study analyzes USPTO’s Peer To Patent initiative, opening the patent examination process to public participation for the first time. The data from this initiative is further enhanced with data from the PatentsView database and the Patent Examination Research Database. The study results provide the first empirical evidence that crowdsourcing aids a patent examination process in overcoming the examiner’s local search bias – their over‐reliance on internal knowledge. In particular, it is found that crowdsourcing in patent examination increases examiners’ reliance on atypical and less formalized knowledge. Overall, these findings enable several theoretical and practical recommendations.

Tags

Crowdsourcing Patents Search Bias

TU Hamburg

 

TU Hamburg

TUHH Institute of Entrepreneurship
Prof. Dr. Christoph Ihl
Am Irrgarten 3
21073 Hamburg
Contact

:   startup.engineer@tuhh.de
:   +49 (0)40 42878-3226
:   LinkedIn
:   Directions
Links    Data Privacy

   Imprint
Built with at