Abstract
Purpose The purpose of this paper is to identify the compensation between research groups and companies that contribute the most for the innovative performance of Brazilian public higher educational institutions (PHEI), using as database the 2010’s tabular plan from CNPq’s Directory of Research Groups. Design/methodology/approach Descriptive and multivariate statistical techniques such as spearman correlation, cluster analysis, ANOVA and discriminant analysis were used. Findings Compensations that contribute the most for the updating of the PHEI are identified as transfer of financial resources from the partner to the group; providing grants for the group; transfer of material supplies to partner’s activities; temporary physical transfer of human resources from the group to the activities conducted by the partner; other forms of compensation that do not fit in the previous categories; and partnering with transfers of resources of any kind going in any direction. Research limitations/implications As a limitation, it is pointed out the discontinuity of the tabular plan, which presents 2010 as the last available data. Practical implications The results can contribute to programs and policies to encourage innovation within universities. Originality/value It may be inferred that the stimulus to specific compensations may expand the quantitative idea of interaction points between the university and companies, linking qualitative aspects, which leads to an understanding that such interactions may, in fact, contribute directly to the activity of generating and spreading knowledge and innovation.
Highlights
Societal knowledge is impacted by a transition from the industrial society, where changes were broad, profound and fast, being considered the core for economic development
To achieve the aims of this research, by means of multivariate statistical techniques, cluster and discriminant analysis were performed based on data made available on by the DGPs, aiming at verifying which are the most important remunerations to innovative performance to public higher educational institutions (PHEI)
It was possible to extract four clusters, as follows: cluster 1 with 86 institutions with Low Mean Remunerations between Research Groups and Companies; cluster 2 with 23 institutions with Moderate Mean Remunerations; cluster 3 with 6 institutions with High Mean Remunerations; and in the last cluster, only 3 institutions were obtained with Extremely High Mean Remunerations between Research Groups and Companies
Summary
Societal knowledge is impacted by a transition from the industrial society, where changes were broad, profound and fast, being considered the core for economic development In this scenario, for nations and companies, the activities of science and technology and of R&D emerge as essential to innovative performance, turning innovation into a crucial variable, closely related to interaction processes between organizations and other agents (Mota, 1999). Universities were no longer just higher educational institutions and became instructions with social functions on both education and research As of this development, universities started to be perceived as a proficuous place for integration and differentiation of the functions that compose the knowledge basis, combining academic learning to experimental theories and practice (Etzkowitz & Leydesdorff, 1995). Their roles have been renewed and reinvented as to consider societal demands, acting rapidly and contributing to economic and social development (Kruss, Adeoti, & Nabudere, 2015)
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