COVID-19 pandemic accelerated the digital transformation of pharmaceutical R&D. This paper aimed to diagnose some key aspects of University-Pharmaceutical Industry (U-Pharma) partnerships in Brazil that should be addressed in digital platforms to enable the creation of innovative solutions to COVID-19. A qualitative research was applied through an online guiding questionnaire to identify the main points that are considered as opportunities or challenges by the parties involved in the University-Pharmaceutical Industry interface. The responses were processed using content analysis to raise common themes. Further, in-depth interviews were performed to evaluate the subjective perception of these themes. The results of the questionnaire showed the topics bureaucracy, partnership, and agility as the most relevant. The in-depth interviews showed the subjective perception of these themes. The joint analysis of the results showed that in addition to problems related to project management processes, issues that involve the human dimension, such as pro-executive behavior and communication skills, are also extremely relevant to the success of U-Pharma projects. The development of digital solutions for Knowledge Management of innovative projects of U-Pharma collaborations should take into consideration both the project and human dimensions. It is recommended that Project and People Management should be integrated into digital platforms.
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This research aims to propose a comprehensive sustainability quantitative evaluation method capable of dealing within a vast range of dimensions at the same time in geographical indication(GI) production systems. While past studies taken account sociological or environmental aspects, setting aside economic content, the present study takes account production efficiency and profitability, an elementary condition for regional development. The previous work struggled even, by turning such evaluations into actionable information in a micro and macro context of production units, and to tackle the difficult tasks of disseminating findings outside the scientific community. In order to deal with these problems, four papers were written aimed at bringing different viewpoints into the discipline. 18 SUMMARY tion efficiency increment and addition of value by service disposition are emerged general strategies provided by the genetic algorithm model. Finally, the study certainly adds to our understanding of the sustainability assessment in GI's by providing a robust quantitative framework for assessment, classification and communication of the results much abroad to the academy space, leading to easy communication for managers to achieve better sustainability by changing impactful leverages such as technification, maintenance of clusters proportions or following competitive strategies for each farm.
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