Open AccessPerception Model for Selecting Patentable Technologies
Author(s) -
Cleide Ane Barbosa da Cruz,
Ana Eleonora Almeida Paixão,
Cristiane Toniolo Dias
Publication year - 2020
Language(s) - English
Resource type - Journals
ISSN - 2411-2933
DOI - 10.31686/ijier.vol8.iss11.2718
Subject(s) - construct (python library) , perception , structural equation modeling , process (computing) , computer science , relation (database) , data science , econometrics , psychology , data mining , mathematics , machine learning , neuroscience , programming language , operating system
With the development of new technologies, it is necessary to develop new tools for verification and assessment for their protection by the institutions. Therefore, this study aims to build and validate the perception model for selecting patentable technologies. In relation to the methodology, a structured questionnaire was applied with the members of the National Institutes of Science and Technology (INCT), and structural equation modeling was used to examine the relationships between latent variables. The results show that five hypotheses were tested, all of which were tested and validated. Two complementary models were developed, the first being, to better adjust the model, the market construct was removed. The second model analyzed the four constructs, but it was noticed that, without the market construct, the adjustment indices are more adequate, according to what is presented in the literature as recommended indices. Thus, it is noted that the proposed model can contribute to improving the process of appreciating the technologies produced by Universities.