Applications of fuzzy logic for determining the driving forces in collaborative research contracts
Publication date
2016-04ISSN
0148-2963
Abstract
This study examines various factors (human capital, experience, attraction capacity, and profile) of technology centers that, according to the literature, affect the performance of science–industry R&D partnerships. The measure of performance is the income that R&D contracts generate divided by the number of clients that the research center has. The data sample considers technology centers operating in the region of Catalonia that act under the TECNIO umbrella brand. The analysis uses fsQCA methodology, which allows identifying a combination of causes that lead to the outcome. Results support the argument that different causal paths explain profitable R&D contracts.
Document Type
Article
Document version
Accepted version
Language
English
Subject (CDU)
00 - Prolegomena. Fundamentals of knowledge and culture. Propaedeutics
Keywords
Ciència
Recursos humans
Investigació
Tecnologia
Lògica difusa
Ciencia
Recursos humanos
Investigación
Tecnología
Lógica difusa
Science
Human resources
Research
Technology
Fuzzy logic
Pages
27
Publisher
Elsevier
Collection
69; 4
Is part of
Journal of Business Research
Citation
Berbegal Mirabent, Jasmina; Llopis Albert, Carlos. Applications of fuzzy logic for determining the driving forces in collaborative research contracts. Journal of Business Research, 2016, 69(4), p. 1446-1451. Disponible en: <https://www.sciencedirect.com/science/article/abs/pii/S0148296315005469?via%3Dihub>. Fecha de acceso: 22 may. 2020. DOI: 10.1016/j.jbusres.2015.10.123.
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Rights
© 2016 Elsevier Inc. All rights reserved.