Principal Investigators and R&D Failure : Probability of Innovation Failure in Small Business / by Morgan Boyce
Por: Boyce, Morgan, autor
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Tipo de material:
E-bookSeries (Academic Entrepreneurship, Scientists, and Scientific Careers, 2523-7012).Editor: Cham : Springer International Publishing, 2023Edición: 1st ed 2023.Descripción: 1 recurso en línea.ISBN: 9783031436086.Tema: Innovaciones tecnológicas
| Tipo de ítem | Biblioteca actual | Colección | Signatura topográfica | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Valencia Digital Acceso Electrónico (UEV) | Ciencias Sociales | HD45 2023 EB (Navegar estantería(Abre debajo)) | Acceso electrónico | eBook16022584 |
Introduction -- R&D Project Failure and Principal Investigators -- Part I : Contextual Setting -- Publicly Funded Collaborative R&D: The Case of the US Department of Energy -- Legislative History of The SBIR Program -- A Theoretical Model of R&D Project Success or Failure -- Department of Energy and SBIR Data -- Collaborative R&D Firm and Project Characteristics: Empirical Insights -- Principal Investigators Experience in Collaborative R&D: Empirical Findings -- Part II; Reflections And Future Perspectives -- PIs and R&D Project Failure: Reflections and Future Research Avenues.
Failure in R&D efforts are fairly common and with many factors that contribute to the outcome. This book focuses on the role of principal investigators (PIs) in R&D project failures and provides a theoretical model explaining how firm characteristics, including those of the PIs, impact the probability of failure. The theoretical model also serves as a structural form model to motivate the empirical analysis which assesses the probability of failure in small technology-based firms. The author uses data from the U.S. Department of Energy's (DOE) Small Business Innovation Research (SBIR) program to build a new and informative tool to assess R&D projects and demonstrate the strengths of the theoretical model. The association between PIs and R&D failure not only provides insights that can have a downstream impact to economic growth, but it can also provide policymakers with valuable information to aid decisions in allocating funds for R&D.
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