EconPapers    
Economics at your fingertips  
 

Collaboration uncovered: Exploring the adequacy of measuring university-industry collaboration through co-authorship and funding

Jonas Lundberg, Göran Tomson, Inger Lundkvist, John Sk?r and Mats Brommels
Additional contact information
Jonas Lundberg: Medical Management Centre, Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet; Karolinska Institutet Strategy and Development Office, Karolinska Institutet
Göran Tomson: Medical Management Centre, Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet; Division of International Health (IHCAR), Department of Public Health Sciences, Karolinska Institutet
Inger Lundkvist: Karolinska Institutet Strategy and Development Office, Karolinska Institutet
John Sk?r: Karolinska Institutet Strategy and Development Office, Karolinska Institutet
Mats Brommels: Medical Management Centre, Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet; Department of Public Health, University of Helsinki

Scientometrics, 2006, vol. 69, issue 3, No 7, 575-589

Abstract: Summary Analysing co-authored publications has become the standard way to measure research collaborations. At the same time bibliometric researchers have advised that co-authorship based indicators should be handled with care as a source of evidence on actual scientific collaboration. The aim of this study is to assess how well university-industry collaborations can be identified and described using co-authorship data. This is done through a comparison of co-authorship data with industrial funding to a medical university. In total 436 companies were identified through the two methods. Our results show that one third of the companies that have provided funding to the university had not co-authored any publications with the university. Further, the funding indicator identified only 16% of the companies that had co-authored publications. Thus, both co-authorship and funding indicators provide incomplete results. We also observe a case of conflicting trends between funding and co-authorship indicators. We conclude that uncritical use of the two indicators may lead to misinterpretation of the development of collaborations and thus provide incorrect data for decision-making.

Date: 2006
References: Add references at CitEc
Citations: View citations in EconPapers (40)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-006-0170-5 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:69:y:2006:i:3:d:10.1007_s11192-006-0170-5

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

DOI: 10.1007/s11192-006-0170-5

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:69:y:2006:i:3:d:10.1007_s11192-006-0170-5