Thais Assis de Souza, L. G. Antunes, Angélica da Silva Azevedo, Giulia Oliveira Angélico, A. Zambalde
{"title":"Innovative performance of Brazilian public higher educational institutions","authors":"Thais Assis de Souza, L. G. Antunes, Angélica da Silva Azevedo, Giulia Oliveira Angélico, A. Zambalde","doi":"10.1108/inmr-10-2018-0077","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThe 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.\n\n\nDesign/methodology/approach\nDescriptive and multivariate statistical techniques such as spearman correlation, cluster analysis, ANOVA and discriminant analysis were used.\n\n\nFindings\nCompensations 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.\n\n\nResearch limitations/implications\nAs a limitation, it is pointed out the discontinuity of the tabular plan, which presents 2010 as the last available data.\n\n\nPractical implications\nThe results can contribute to programs and policies to encourage innovation within universities.\n\n\nOriginality/value\nIt 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.\n","PeriodicalId":42220,"journal":{"name":"Innovation & Management Review","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2019-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/inmr-10-2018-0077","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Innovation & Management Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/inmr-10-2018-0077","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 4
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.