Knowledge-Based Information and the Effectiveness of R&D in Small Firms

Joshua Fletcher (), Eric Howard (), Albert Link and Alan O'Connor ()
Additional contact information
Joshua Fletcher: RTI International
Eric Howard: University of North Carolina at Greensboro, Department of Economics
Alan O'Connor: University of North Carolina at Greensboro, Department of Economics

No 22-2, UNCG Economics Working Papers from University of North Carolina at Greensboro, Department of Economics

Abstract: This paper explores the impact that external sources of information have on the effectiveness of R&D in small, entrepreneurial firms. The effectiveness of R&D is measured in terms of two probabilities; the probability that a firm that received and completed a Phase I SBIR-funded research project is invited to submit a proposal for a Phase II award, and given such an invitation, the probability that a firm receives the Phase II award. Information from competitors is an important, in a statistical sense, covariate with the probability of being asked to submit a Phase II proposal whereas information from suppliers and customers in an important covariate with the probability of receiving a Phase II award.

Keywords: Small Business Innovation Research (SBIR) program; small firms; entrepreneurial firms; R&D; knowledge sources; program evaluation (search for similar items in EconPapers)
JEL-codes: H43 L26 O31 O32 O38 (search for similar items in EconPapers)
Pages: 23 pages
Date: 2022-06-07
New Economics Papers: this item is included in nep-cse, nep-ent, nep-ino, nep-knm, nep-ppm, nep-sbm and nep-tid
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Journal Article: Knowledge-based information and the effectiveness of R&D in small firms (2023)
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Persistent link: https://EconPapers.repec.org/RePEc:ris:uncgec:2022_002

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