Interdisciplinary: Research and Entrepreneurship: Making the Leap from Research to Business

This topical collection aims to publish high quality articles with a focus on knowledge transfer from research to business. It welcomes theoretical, empirical and case studies contributions that address entrepreneurship as a scientific discipline and provide cutting-edge research results. Topics of interest include, but are not limited to: entrepreneurship theories, conceptualizations and research methods; opportunity recognition and value proposition; innovation and technology transfer; entrepreneurial motivation, thinking and behavior; entrepreneur, boards, governance and leadership; design and development of innovative products and services; processes, strategies and outcomes for converting research results into entrepreneurship; innovative business models; financing strategies; entrepreneurial scenarios, risk and sensitivity analysis; social entrepreneurship; corporate entrepreneurship; public policy; universities, spin-offs, startups and accelerators; patents and intellectual property; entrepreneurial ecosystems; decision making; digital entrepreneurship; computational tools, data mining, pattern recognition and machine learning for analytics and decision making.


  • Dr Marta Campos Ferreira

    Dr Marta Campos Ferreira, Assistant Professor, University of Porto, Portugal. She holds a PhD in Transportation Systems from FEUP (MIT Portugal Program), a M.Sc. in Service Engineering and Management from FEUP and a Lic. in Economics from the Faculty of Economics of University of Porto (FEP). She has been involved in several R&D projects in areas such as technology enabled services, smart cities and mobility. Her main research interests include entrepreneurship, innovation, service design, human computer interaction, data science and knowledge extraction.

  • Dr João Manuel R. S. Tavares

    Dr João Manuel R. S. Tavares, Professor, Universidade do Porto, Portugal. He earned his Ph.D. degree in Electrical and Computer Engineering from the Universidade do Porto in 2001, and attained his habilitation in Mechanical Engineering in 2015. He is a senior researcher at the Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial and Full Professor at the Department of Mechanical Engineering of the Faculdade de Engenharia da Universidade do Porto. His main research areas include Computational Vision, Medical Imaging, Pattern Recognition, Data Mining, Machine Learning and new product development.

Articles (1 in this collection)