Artikel
R&D collaboration, competitiveness development, and open innovation in R&D
The competitiveness of the agro-industrial sector depends not only on its specific performance but also on the character and degree of the innovation performance, vital to added value development and differentiation in the biobased value-chain. This work intends to show, how through research and development (R&D), collaboration is possible to improve agri-food companies' competitiveness, helping them to integrate biotechnology and offer innovative products. The method used to support the R&D collaboration model developed involves a diagnosis of biotechnological tools use, for developing appropriate solutions from food safety to food quality, improving health, and achieving new ingredients and/or food products within an agri-food Association partners survey results were integrated into the study of R&D collaboration practice. Results show that the companies (wine culture, fruticulture, and olive culture subsectors) inquired do not develop biotechnology research. They were all micro-business with a low volume of commercial billing, and only 27.3% claimed to have developed research activities in partnership with external research centres, but were not associated with higher education institutions. The barriers to the implementation of biotechnology techniques considered more relevant by respondents were access to capital and specialized human resources, which led to reinforcing the R&D collaboration strategy design.
- Sprache
-
Englisch
- Erschienen in
-
Journal: Journal of Open Innovation: Technology, Market, and Complexity ; ISSN: 2199-8531 ; Volume: 6 ; Year: 2020 ; Issue: 4 ; Pages: 1-18 ; Basel: MDPI
- Klassifikation
-
Management
- Thema
-
innovation
biotechnology
agri-food sector
R&D collaboration
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Paiva, Teresa
Ribeiro, Maximiano
Coutinho, Paula
- Ereignis
-
Veröffentlichung
- (wer)
-
MDPI
- (wo)
-
Basel
- (wann)
-
2020
- DOI
-
doi:10.3390/joitmc6040116
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Paiva, Teresa
- Ribeiro, Maximiano
- Coutinho, Paula
- MDPI
Entstanden
- 2020
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