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Patents and Articles Related to Cooperation in Universities, Using Poisson Regression Models
Author(s) -
Suzana Leitão Russo,
Daiane Costa Gumarães,
Cleide Mara Barbosa Da Cruz,
Cleo Clayton Santos Silva
Publication year - 2020
Language(s) - English
Resource type - Journals
ISSN - 2411-2933
DOI - 10.31686/ijier.vol8.iss5.2309
Subject(s) - overdispersion , poisson regression , general partnership , reciprocity (cultural anthropology) , deviance (statistics) , poisson distribution , regression analysis , economics , marketing , business , public relations , sociology , social science , political science , statistics , mathematics , negative binomial distribution , finance , population , demography
University-industry cooperation is the formation of partnership relationships that exist in Science and Technology Institutions with industries, that is, it is the cooperation that exists between universities and industries. In this sense, there are several ways of forming relations between universities and industry, and for this to happen, it all boils down to cooperation, since both agents need to agree with certain achievements, there must be communication between them. Despite all the existing benefits, even if there is reciprocity between these agents that seek a common denominator, there are still divergences that remain as a difficulty factor for this cooperation, since there are several differences found in the academic and industrial environment. Thus, we sought to analyze how are the production of articles aimed at university-industry cooperation, as well as patents related to this subject, through specific bases. A forecast analysis was also carried out using the Poisson Regression models, where it was found, in the data of patents and articles, a superdispersion, therefore, it was necessary to adjust the deviation G ^ 2 or as known deviance, and with the adjustment of overdispersion the models were adequate and confirmed in the forecast made. We thank Capes and CNPq for their support and financial support.

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