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Knowledge-based information and the effectiveness of R&D in small firms

Author

Listed:
  • Joshua C. R. Fletcher

    (RTI International)

  • Eric S. Howard

    (University of North Carolina at Greensboro)

  • Albert N. Link

    (University of North Carolina at Greensboro)

  • Alan C. O’Connor

    (RTI International)

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 is an important covariate with the probability of receiving a Phase II award. Plain English Summary Tweetable headline: Market information, especially from suppliers, customers, and competitors, increases the effectiveness of publicly funded R&D among small, entrepreneurial firms. The R&D considered in this paper came from research awards from the National Institutes of Health’s Small Business Innovation Research (SBIR) program. The analysis presented shows a relationship between the effective use of the SBIR research awards and the use of several external sources of information—namely, suppliers, customers, and competitors—related to the market demand for the technology resulting from the funded research. This finding has a policy implication. For government agencies that participate in the SBIR program to be diligent stewards of public resources, small, entrepreneurial firms who receive such funding should be advised on how to identify and use relevant external source of market information.

Suggested Citation

  • Joshua C. R. Fletcher & Eric S. Howard & Albert N. Link & Alan C. O’Connor, 2023. "Knowledge-based information and the effectiveness of R&D in small firms," Small Business Economics, Springer, vol. 60(3), pages 891-900, March.
    • Handle: RePEc:kap:sbusec:v:60:y:2023:i:3:d:10.1007_s11187-022-00630-9
    DOI: 10.1007/s11187-022-00630-9
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    References listed on IDEAS

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    1. James A. Cunningham & Albert N. Link, 2022. "The Returns to Publicly Funded R&D: A Study of U.S. Federally Funded Research and Development Centers," Annals of Science and Technology Policy, now publishers, vol. 6(3), pages 228-314, March.
    2. Hall, Bronwyn H. & Mairesse, Jacques & Mohnen, Pierre, 2010. "Measuring the Returns to R&D," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 1033-1082, Elsevier.
    3. Lerner, Josh & Stern, Scott (ed.), 2012. "The Rate and Direction of Inventive Activity Revisited," National Bureau of Economic Research Books, University of Chicago Press, number 9780226473031, July.
    4. Andrew Atkeson & Ariel T. Burstein & Manolis Chatzikonstantinou, 2019. "Transitional Dynamics in Aggregate Models of Innovative Investment," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 273-301, August.
    5. Dennis Leyden & Albert Link, 2015. "Toward a theory of the entrepreneurial process," Small Business Economics, Springer, vol. 44(3), pages 475-484, March.
    6. Josh Lerner & Scott Stern, 2012. "The Rate and Direction of Inventive Activity Revisited," NBER Books, National Bureau of Economic Research, Inc, number lern11-1.
    7. Schultz, Theodore W, 1975. "The Value of the Ability to Deal with Disequilibria," Journal of Economic Literature, American Economic Association, vol. 13(3), pages 827-846, September.
    8. Irving Siegel, 1962. "Scientific Discovery and the Rate of Invention," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 441-458, National Bureau of Economic Research, Inc.
    9. Editors The, 2007. "From the Editors," Basic Income Studies, De Gruyter, vol. 2(1), pages 1-5, June.
    10. David Bruce Audretsch & Maksim Belitski & Rosa Caiazza, 2021. "Start-ups, Innovation and Knowledge Spillovers," The Journal of Technology Transfer, Springer, vol. 46(6), pages 1995-2016, December.
    11. Cristiano Antonelli & Claudio Fassio, 2014. "The heterogeneity of knowledge and the academic mode of knowledge governance: Italian evidence in the first part of the 20th century," Science and Public Policy, Oxford University Press, vol. 41(1), pages 15-28.
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    More about this item

    Keywords

    Small Business Innovation Research (SBIR) program; Small firms; Entrepreneurial firms; R&D; Knowledge sources; Program evaluation;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship
    • H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate

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