EconPapers    
Economics at your fingertips  
 

When Do Firms Trade Patents?

Jung H. Kwon (), Haemin Dennis Park () and Shu Deng ()
Additional contact information
Jung H. Kwon: Jindal School of Management, University of Texas at Dallas, Richardson, Texas 75080
Haemin Dennis Park: Jindal School of Management, University of Texas at Dallas, Richardson, Texas 75080
Shu Deng: Jindal School of Management, University of Texas at Dallas, Richardson, Texas 75080

Organization Science, 2022, vol. 33, issue 3, 1212-1231

Abstract: Drawing on the Coase theorem, we consider a firm’s decision to transfer patent ownership to another firm in the markets for innovation. We deem that the proximity of a patent’s technology structure to that of a firm’s patent portfolio will generally result in greater marginal productivity of the patent, leading to enhanced prospects for the firm’s economic return. We thus predict that firms are more likely to trade patents when the technology structure of a patent is closer to the technology stock of a potential buyer compared with that of its original assignee. However, such a relationship will be weaker when a potential buyer and the original assignee have greater product-market overlap or when the assignee has superior technological capability. We test these predictions by employing a dyad-level analysis of transactional decisions during the 1987–2016 period on 40,110 U.S. patents assigned to 57 major biopharmaceutical firms. Our study provides novel insights on factors that facilitate or inhibit patent trade in the markets for innovation.

Keywords: patent trade; markets for innovation; technological distance; technological relativity; IP management strategy; Coase theorem (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://dx.doi.org/10.1287/orsc.2021.1471 (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:ororsc:v:33:y:2022:i:3:p:1212-1231

Access Statistics for this article

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

 
Page updated 2025-03-19
Handle: RePEc:inm:ororsc:v:33:y:2022:i:3:p:1212-1231