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020 _a9783031436086
024 7 _a10.1007/978-3-031-43608-6
_2doi
040 _aES-VaUEC
_bspa
_cES-VaUEC
_dES-VaUE
050 4 _aHD45
_b2023 EB
100 1 _aBoyce, Morgan
_eautor
_0(orcid)0000-0002-2476-422X
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9518179
245 1 0 _aPrincipal Investigators and R&D Failure :
_bProbability of Innovation Failure in Small Business
_cby Morgan Boyce
250 _a1st ed 2023
264 1 _aCham
_c2023
_bSpringer International Publishing
300 _a1 recurso en línea
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
490 0 _aAcademic Entrepreneurship, Scientists, and Scientific Careers
_x2523-7012
505 0 _aIntroduction -- 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.
520 _aFailure 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.
988 _aSpringer_Business_2023
650 7 _2embne
_9274036
_aInnovaciones tecnológicas
830 0 _aAcademic Entrepreneurship, Scientists, and Scientific Careers,
_x2523-7012
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-43608-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942 _2lcc
_cLE
_n0
998 _db
_ee
_b01/2024
_zSI