EconPapers    
Economics at your fingertips  
 

The use of QCA in science, technology and innovation studies: a review of the literature and an empirical application to knowledge transfer

Manuel Fernández-Esquinas (), María Isabel Sánchez-Rodríguez, José Antonio Pedraza-Rodríguez and Rocío Muñoz-Benito
Additional contact information
Manuel Fernández-Esquinas: Institute for Advanced Social Studies-CSIC
María Isabel Sánchez-Rodríguez: University of Cordoba
José Antonio Pedraza-Rodríguez: University of Cordoba
Rocío Muñoz-Benito: University of Cordoba

Scientometrics, 2021, vol. 126, issue 8, No 3, 6349-6382

Abstract: Abstract This article analyses the use of qualitative comparative analysis (QCA) in social studies on science, technology and innovation. The goals are to address how and why the method is used, and to explore the advantages and shortcomings for this research area. A review of the literature and practical application are combined. Firstly, the article finds that the acceptance of QCA is unevenly distributed in the major research fields related to knowledge production. It is used mainly to study innovation in firms but is largely absent in science and technology studies. Second, an original study on university–industry links provides a strategic site that displays how research unfolds. Its findings demonstrate the combinations of factors that shape knowledge transfer and the configurational nature of the process. The article offers an account of challenges and directions for future research and discusses the possibilities of the method as a third way between qualitative and quantitative traditions in science, technology and innovation.

Keywords: QCA; Science; Technology; Innovation; Knowledge transfer; Universities; SMEs local innovation systems (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11192-021-04012-y 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:8:d:10.1007_s11192-021-04012-y

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

DOI: 10.1007/s11192-021-04012-y

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:8:d:10.1007_s11192-021-04012-y