Early Disclosure of Invention and Reduced Duplication: An Empirical Test

Sonja Lück (), Benjamin Balsmeier (), Florian Seliger () and Lee Fleming ()
Additional contact information
Sonja Lück: University of Paderborn, 33098 Paderborn, Germany
Benjamin Balsmeier: University of Luxembourg, 4365 Esch-sur-Alzette, Luxembourg; ETH Zurich, 8092 Zurich, Switzerland
Florian Seliger: ETH Zurich, 8092 Zurich, Switzerland
Lee Fleming: University of California, Berkeley, Berkeley, California 94720

Management Science, 2020, vol. 66, issue 6, 2677-2685

Abstract: Much work on innovation strategy assumes or theorizes that competition in innovation elicits duplication of research and that disclosure decreases such duplication. We validate this empirically using the American Inventors Protection Act (AIPA), three complementary identification strategies, and a new measure of blocked future patent applications. We show that AIPA—intended to reduce duplication, through default disclosure of patent applications 18 months after filing—reduced duplication in the U.S. and European patent systems. The blocking measure provides a clear and micro measure of technological competition that can be aggregated to facilitate the empirical investigation of innovation, firm strategy, and the positive and negative externalities of patenting.

Keywords: AIPA; duplicative research; knowledge disclosure; patents (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
https://doi.org/10.1287/mnsc.2019.3521 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:66:y:2020:i:6:p:2677-2685

Access Statistics for this article

More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().