EconPapers    
Economics at your fingertips  
 

Approval in Nanotechnology Patents: Micro and Macro Factors That Affect Reactions to Category Blending

Jade Yu-Chieh Lo () and Mark Thomas Kennedy ()
Additional contact information
Jade Yu-Chieh Lo: Department of Management, LeBow College of Business, Drexel University, Philadelphia, Pennsylvania 19104
Mark Thomas Kennedy: Department of Management, Imperial College Business School, London SW7 2AZ, United Kingdom

Organization Science, 2015, vol. 26, issue 1, 119-139

Abstract: Studies show that blending multiple categories rather than fitting one category cleanly undermines the appeal of market offerings, but in science and technology, blending multiple categories has been a formula for creating important new categories like nanotechnology. What enables such blends to earn approval and become recognized as new categories? We argue that reactions to category blending are affected by both micro and macro factors. Specifically, blend reactions are affected at the micro level by cognitive limits, especially as blends are repeated, and at the macro level by domain-specific logics for judging quality. Using data on nanotechnology patents, we test this argument by analyzing two dimensions of approval: time to approval and citations by subsequent patents. In addition to showing that blending has different effects on these two dimensions of approval, our findings suggest that reactions to blending are moderated, as argued, by (1) institutional logics that value novel combinations and (2) the repetition of blends that came to define nanotechnology. Our study contributes to theory by linking approval of category blends to cognitive limitations and cultural and institutional logics of evaluation.

Keywords: category blends; categorical imperative; institutional logics; typicality; approval; nanotechnology; innovation (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://dx.doi.org/10.1287/orsc.2014.0933 (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:26:y:2015:i:1:p:119-139

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 2025-04-25
Handle: RePEc:inm:ororsc:v:26:y:2015:i:1:p:119-139