Proposta de um modelo Fuzzy-QFD para seleção de startups visando à transferência de tecnologia e participação em programas de aceleração

Abstract

To improve the competitiveness of organizations, there are currently demands for open innovation. With this, the value of using the Business Model Canvas to share technologies, leverages the transfer as a means of this commercialization. This process, technology transfer, acts as a determining factor for economic, technological and innovative growth, contributing to the competitiveness of innovative SMEs. This work aims to propose a Fuzzy-QFD model to support the selection of startups designed at their participation in business acceleration programs, based on the relationship between technology transfer and innovative business modeling in Brazilian startups. Although several multicriteria decision models are found in the literature, none studies are founded that prioritize the selection of startups using technology transfer criteria and business modeling components. In this study the multicriteria decision model used is based on the QFD (Quality Function Deployment) method to identify the better startups for participation in accelerated business development programs (Acceleration Programs). The method was applied with MS Excel to carry out the sequences of implementations, using data from an institution to support and promote entrepreneurship in Brazil. The results indicate that with the application of the FuzzyQFD method, it was possible to rank the companies and present which startups were highlighting selecting the best startups for participation in the program. Therefore, the method can be used in prioritization problems or in the selection of companies to participate in acceleration programs involving technology transfer in their activities.