Applications of fuzzy logic for determining the driving forces in collaborative research contracts
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...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2016 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglés |
| OAI Identifier: | oai:riunet.upv.es:10251/81713 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/81713 |
| Access Level: | acceso abierto |
| Palabra clave: | Science-industry partnerships R& D contracts Technology centers FsQCA INGENIERIA MECANICA |
| Sumario: | 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. |
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