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Technology transfer offices (TTO) were created with the mission of executing innovation policy and its technology transfer to industry. Most studies regarding TTO focus on the context of developed countries, so there is a lack of research on the subject in emerging economies, such as Brazil. In addition, the issue of how diverse the skills of the team of a given TTO should be for their best revenue performance is still little addressed. In this sense, the present study aims to identify which characteristics of the TTO, related to their human resources, influence obtaining revenue from the patents that constitute their portfolios. To achieve this objective, 272 TTO in Brazil were analysed with the help of the Logistic Regression technique, based on Maximum Likelihood Estimation. A remarkable conclusion that emerges from our results is that the universities to increase their revenue must invest in full‐time employees (e.g., rather than in scholarship students, as tends to be the norm) and foster the inventions' communications, as well as to attract and retain employees with skills directly related to knowledge fields such as Law, Engineering, and Communication (quite surprisingly, Management and Economics graduates are not included). The combination of these factors can increase the probabilities or odds of a given TTO obtaining revenue. Thus, our results contribute to TTO human resource practices, especially those in structuring stages, such as those in Brazil and Latin American countries. [ABSTRACT FROM AUTHOR]

This study seeks to answer the following research question: "What factors can explain the number of patent filing requests made by residents in Brazil at patent offices in Brazil, the United States, Europe, and triadic patent families?". The methods used in this research are quantitative, using big data from private and public investments in Science and Technology, and about patent deposit numbers in Brazil from 2000 to 2017. A model of linear regression was performed and explains how these investments in Science and Technology influence patent deposit numbers. The results of this research study point towards the importance of universities, up and beyond the traditional training and education aspect of university activity. The importance of public and private innovation investments is also shown to be important. This study shows that the patent registrations in the different regions under analysis are affected by different factors. There is thus no single formula towards the creation of innovation output and governments would do well to continue to invest in higher education while also investing in public research and development activities. Additionally, and not least important, private entities should be continually encouraged to make innovation investments and favourable government policies need to thus exist for this to happen. Finally, the low numbers regarding patent filings in Brazil may be linked to institutional deficiencies in the country. Patent breaches may be difficult to punish, and the judicial system may be slow and untrustworthy, compared to the United States and to Europe—leading to diminished patent registrations in Brazil. A set of implications and recommendations for policy derived from this study and will be strategic for policymakers. [ABSTRACT FROM AUTHOR]

The purpose of this study is to ascertain the hierarchical importance of a patent's characteristics to licensing. This research has a causal‐exploratory purpose, in that it sought to establish relationships between variables. This research aims to identify which characteristics are influential in the licensing of Brazilian academic patents in the biotechnology and pharmaceutical technology fields, based on the mining of data contained in licensed and unlicensed patent documents. Which characteristics of Brazilian academic patents are most influential in their licensing potential? An analysis through Random Forest was performed. To the best of our knowledge, there are no studies in Brazil using machine learning to identify which characteristics are influential in licensing a particular academic patent, especially given the difficulty of gathering this information. We found that regardless of the measure used, the three most critical licensing characteristics for the Biotechnology and Pharmaceutical patents analysed are Patent Scope, Life Cycle, and Claims. At the same time, the least important is the Patent Cooperation Treaty. The relevance of this research is based on the fact that after identifying which intrinsic characteristics influence the final value and licensing probabilities of a given patent, it will be possible to develop mathematical models that provide accurate information for establishing technology transfer agreements. In practical terms, the results suggest that greater patent versatility, combined with lifecycle management and a technical effort to build strong claims, increases the licensing potential of academic biopharmaceutical patents. [ABSTRACT FROM AUTHOR]