EconPapers    
Economics at your fingertips  
 

On the disruptive power of small-teams research

António Osório and Lutz Bornmann ()
Additional contact information
Lutz Bornmann: Max Planck Society MPG

Scientometrics, 2021, vol. 126, issue 1, No 5, 117-133

Abstract: Abstract Recent studies have shown that research by small teams is more likely to lead to disruptive results than research by large teams. Disruptive research challenges established paradigms. This paper offers a possible theory to explain this paradox. We argue that individuals in possession of research ideas with great disruptive potential have incentives to form small teams and compensate potential group weaknesses with a greater research effort rather than considering additional co-authors. Additional co-authors have the advantage of bringing more overall effort and expertise to the team, reducing technical difficulties, and increasing the chances of success and the potential value of the ideas. We show that individuals in possession of potentially disruptive research ideas prefer to keep teams as small as possible, because the resulting credits per co-author decrease as the value of the project is split among more co-authors.

Keywords: Bibliometrics; Scientific impact; Disruption; Research teams’ size (search for similar items in EconPapers)
JEL-codes: C72 O31 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-020-03756-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:scient:v:126:y:2021:i:1:d:10.1007_s11192-020-03756-3

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-020-03756-3

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:scient:v:126:y:2021:i:1:d:10.1007_s11192-020-03756-3