Open AccessA Research-Innovation Model to Foster University-Industry Links: An Empirical Typology
Author(s) -
Lokman Zaïbet,
Tarig Gibreel,
Sheikha Akhzami,
Rachid Hedjam,
Houcine Boughanmi
Publication year - 2019
Publication title -
asian journal of empirical research
Language(s) - English
Resource type - Journals
eISSN - 2306-983X
pISSN - 2224-4425
DOI - 10.18488/journal.1007/2019.9.11/1007.11.321.336
Subject(s) - construct (python library) , typology , innovation process , agriculture , sample (material) , process (computing) , empirical research , marketing , knowledge management , business , computer science , sociology , work in process , geography , chemistry , operating system , archaeology , chromatography , anthropology , programming language , philosophy , epistemology
This paper uses a sample of selected research projects in agriculture and food sciences to understand the current research-innovation process and make a first-hand assessment of its impacts or potential output influences. The paper uses cluster analysis to construct a model of research innovation applicable to the fields of agriculture and food and builds the missing links between science and industry. Results demonstrate that most research grants are from the public sector, yet the least targeted are farmers and public institutions. The first targets of research outputs are students and the scientific community. The constructed research-innovation model aims to foster university-industry links; the model displays different stages of research-innovation, where engagement, advocacy, and achievement are compatible with the different dimensions of innovation; in particular the technical, policy, and social dimensions.