EconPapers    
Economics at your fingertips  
 

Internal factors promoting research collaboration problems: an input-process-output analysis

Malte Hückstädt () and Luca M. Leisten
Additional contact information
Malte Hückstädt: German Centre for Higher Education Research and Science Studies
Luca M. Leisten: ETH Zürich

Scientometrics, 2024, vol. 129, issue 4, No 2, 2007-2035

Abstract: Abstract Research collaborations are crucial for scientific progress, but their success is often compromised by internal collaboration problems. While previous work is often small-scaled and largely based on case studies and qualitative work, we present a large-scale, quantitative, and representative study to investigate important drivers behind research collaboration problems in various disciplines. Based on an input-process-output framework and with a focus on research clusters, we investigated the occurrence of four crucial research collaboration problems: fairness, commitment, difference, and cohesion problems. Based on a sample of 5.306 researchers, we identified several input and process variables that could reduce collaboration problems in research collaborations including gender heterogeneity, conflict mediation by a cluster’s spokesperson, the synthesis of results, and the collaborative development of common goals. We discuss that these problems are often rooted in the science system itself and provide important guidelines and implications for stakeholders, funding bodies, and involved researchers on how to reduce collaboration problems in research collaborations.

Keywords: Team science; Research collaboration; Collaboration problems; Collaboration success (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11192-024-04957-w 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:129:y:2024:i:4:d:10.1007_s11192-024-04957-w

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

DOI: 10.1007/s11192-024-04957-w

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:129:y:2024:i:4:d:10.1007_s11192-024-04957-w