Skip to main content
Log in

Advancing measures of innovation in the United States

  • Published:
The Journal of Technology Transfer Aims and scope Submit manuscript

Abstract

This paper introduces major themes addressed in this special issue, which is based on NSF's Division of Science Resources Statistics (SRS) workshop Advancing Measures of Innovation—Knowledge Flows, Business Metrics, and Measurement Strategies, held on June 6-7, 2006 near Washington, D.C. The first two sections describe the workshop and provide a brief background on R & D and innovation metrics. The last section introduces the papers. They are based on selected workshop presentations along with additional invited papers.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. The America Creating Opportunities to Meaningfully Promote Excellence in Technology, Education, and Science (COMPETES) Act was signed August 9, 2007. For full text see http://www.thomas.loc.gov/cgi-bin/bdquery/z?d110:h.r.02272:

  2. For a compilation of official definitions of R & D see NSF/SRS (2006).

  3. Marburger, John H., AAAS S&T Policy Forum Keynote Address, Washington, D.C. April 21, 2005, http://www.aaas.org/news/releases/2005/0421marburgerText.shtml; Marburger, John H., Wanted: Better Benchmarks, Science, Vol. 308: 1087, 20 May 2005.

  4. For more information on this program see http://www.nsf.gov/dir/index.jsp?org=SBE.

  5. For further information see http://www.innovationmetrics.gov/.

  6. A related but separate area of interest for policymaking is metrics for program evaluation. See for example, Larson and Brahmakulam (2002), Lepori (2007), NRC (2007c), and Ruegg and Feller (2003).

  7. For information on the ongoing revision of the 1993 SNA, see http://unstats.un.org/unsd/sna1993/snarev1.asp.

  8. In the words of Rosenberg, “a high degree of scientific originality [has] been neither necessary nor sufficient condition for technological dynamism” (1982; pp. 13–14).

  9. See Bartel et al. (2004) for special purpose data collections to study technology use, human resources practices, and productivity.

  10. For an overview of organizational capital and alternative empirical approaches see chapters 2, 3, and 6 in Corrado et al. (2005).

References

  • Abowd, J., Haltiwanger, M. J., & Lane, J. (2004). Integrated longitudinal employer–employee data for the United States. American Economic Review, 94(2), 224–229. [Papers and proceedings of the one hundred sixteenth annual meeting of the American Economic Association, San Diego, CA, January 3–5, 2004].

    Article  Google Scholar 

  • Archibugi, D., & Iammarino, S. (1999). The policy implications of the globalisation of innovation. Research Policy, 28(2–3), 317–336.

    Article  Google Scholar 

  • Arundel, A., Colecchia, A., Wyckoff, A. (2006). Rethinking science and technology indicators for innovation policy in the twenty-first century. In E. Louise & F. Gault (Eds.), National innovation, indicators, and policy. Cheltenham, UK: Edward Elgar Publishing.

    Google Scholar 

  • Audretsch, D. B., Bozeman, B., Combs, K. L., Feldman, M., Link, A. N., Siegel, D. S., Stephan, P., Tassey, G., & Wessner, G. (2002). The Economics of Science and Technology. Journal of Technology Transfer, 27(2), 155–203.

    Google Scholar 

  • Audretsch, D. B., & Feldman, M. P. (1996). R & D spillovers and the geography of innovation and production. American Economic Review, 86(3), 630–640.

    Google Scholar 

  • Bartel, A., Ichniowski, C., & Shaw, K. (2004). Using “insider econometrics” to study productivity. American Economic Review 94(2), 217–223. [Papers and proceedings of the one hundred sixteenth annual meeting of the American Economic Association, San Diego, CA, January 3–5, 2004].

    Article  Google Scholar 

  • Chesbrough, H. (2007). Why companies should have open business models. MIT Sloan Management Review, 48(2), 22–28.

    Google Scholar 

  • Chesbrough, H., Vanhaverbeke, W., & West, J. (2006) Open innovation— researching a new paradigm. Oxford: Oxford University Press.

    Google Scholar 

  • Congressional Budget Office (CBO). (2005). R & D and productivity growth. Washington, DC: Congress of the United States.

    Google Scholar 

  • Corrado, C., Haltiwanger, J., & Sichel, D. (Eds.), (2005). Measuring Capital in the New Economy. National Bureau of Economic Research, Studies in Income and Wealth, (Vol. 65). Chicago: The University of Chicago Press.

  • Corrado, C., Hulten, C., & Sichel, D. (2005). Measuring capital and technology: an expanded framework. In Corrado, C., Haltiwanger, J., & Sichel, D. (Eds.), Measuring Capital in the New Economy. National Bureau of Economic Research, Studies in Income and Wealth, (Vol. 65). Chicago: The University of Chicago Press.

  • Gallaher, M. P., & Petrusa, J. E. (2006). Innovation in the U.S. service sector. Journal of Technology Transfer, 31(6), 611–628.

    Article  Google Scholar 

  • Gault, F., & Earl, L. (2006). Insights into innovation, indicators, and policy. In E. Louise & F. Gault (Eds.), National innovation, indicators, and policy. Cheltenham, UK: Edward Elgar Policy Publishing.

    Google Scholar 

  • Griliches, Z. (2000). R & D, Education, and Productivity. Cambridge, MA: Harvard University Press.

  • Hall, B., & Mairesse, J. (2006). Empirical studies of innovation in the knowledge driven economy. NBER Working Paper 12320.

  • Howells, J. (2006). Intermediation and the role of intermediaries in innovation. Research Policy, 35(5), 715–728.

    Article  Google Scholar 

  • Hulten, C. R. (2007). Theory and Measurement, An Essay in Honor of Zvi Griliches. In Berndt E. R., Hulten C. R. (Eds.), Hard-to-Measure Goods and Services, Essays in Honor of Zvi Griliches, National Bureau of Economic Research, Studies in Income and Wealth, (Vol. 67). Chicago: The University of Chicago Press.

  • Jorgenson, D. W., & Landefeld, J. S. (2005). Blueprint for Expanded and Integrated U.S. Accounts: Review, Assessment, and Next Steps. In Jorgenson, D. W., Landefeld, J. S., & Nordhaus, W. D. (Eds.), A New Architecture for the U.S. National Accounts. National Bureau of Economic Research, Studies in Income and Wealth (Vol. 66). Chicago: The University of Chicago Press.

  • Keller, W. (2004). International technology diffusion. Journal of Economic Literature, 42(3), 752–782.

    Article  Google Scholar 

  • Larson, E. V., & Brahmakulam, I. T. (2002). Building a new foundation for innovation: results of a workshop for the national science foundation, MR-1534–NSF, RAND Science and Technology, Arlington, VA. http://www.rand.org/pubs/monograph_reports/MR1534/index.html.

  • Lepori, B. (2007). The power of indicators: introduction to special issue on public project funding of research. Science and Public Policy, 34(6), 370–371.

    Google Scholar 

  • Lev, B. (2001). Intangibles: Management, measurement, and reporting. Washington, D.C.: Brookings Institution Press.

    Google Scholar 

  • National Research Council (NRC) (1997). Industrial research and innovation indicators. Washington, DC: National Academies Press.

    Google Scholar 

  • National Research Council (NRC) (2005a). Rising above the gathering storm: Energizing and employing America for a brighter economic future. Washington, DC: National Academies Press.

    Google Scholar 

  • National Research Council (NRC) (2005b). In L. D. Brown, T. J. Plewes, & M. A. Gerstein (Eds.), Measuring research and development expenditures in the U.S. economy. Washington, DC: National Academies Press.

    Google Scholar 

  • National Research Council (NRC) (2006). In C. Kuebler & C. Mackie (Rapporteurs), Improving business statistics through interagency data sharing: Report of a workshop. Washington, DC: National Academy Press.

  • National Research Council (NRC) 2007a. In D. W. Jorgenson & C. W. Wessner (Eds.), Enhancing productivity growth in the information age: Measuring and sustaining the new economy.Washington, DC: National Academy Press.

  • National Research Council (NRC) (2007b). In C. W. Wessner (Ed.), Innovation policies for the 21st century: Report of a symposium. Committee on comparative innovation policy: Best practice for the 21st century. Washington, DC: National Academy Press.

  • National Research Council (NRC) (2007c). In C. W. Wessner (Ed.), SBIR and the phase III challenge of commercialization —report of a symposium. Washington, DC: National Academy Press.

  • National Research Council (NRC) (2007d). J. Haltiwanger, L. M. Lynch, & C. Mackie (Eds.), Understanding business dynamics: An integrated data system for America’s future. Washington, DC. National Academy Press.

  • National Science Board (NSB) (2008). Science and engineering indicators 2008. Arlington, VA: National Science Foundation. http://www.nsf.gov/statistics/.

  • National Science Foundation (NSF), Science Resources Statistics (SRS) (2006). Definitions of research and development: An annotated compilation of official sources. Arlington, VA: National Science Foundation. http://www.nsf.gov/statistics/randdef/.

  • Nelson, R. (1993). National innovation systems—A comparative analysis. Oxford: Oxford University Press.

    Google Scholar 

  • Niosi, J. (1999). The internationalization of industrial R & D: From technology transfer to the learning organization. Research Policy, 28(2–3), 107–118. [Introduction to special issue].

    Google Scholar 

  • Organisation for Economic Co-operation and Development (OECD) (2002). Proposed standard practice for surveys on research and experimental development (Frascati Manual). Paris: OECD.

  • Organisation for Economic Co-operation and Development (OECD) (2005a). Oslo manual: Proposed guidelines for collecting and interpreting technological innovation data. Paris: OECD.

  • Organisation for Economic Co-operation and Development (OECD) (2005b). Working party of national experts on science and technology indicators [NESTI]. Note on measuring the internationalization of R & D: What role for NESTI? DSTI/EAS/STP/NESTI (2005)11, Reykjavik, Iceland, 15–17 June 2005.

  • Organisation for Economic Cooperation and Development (OECD) (2006a). Recent trends in internationalization of R & D in the enterprise sector. Special session on globalisation. Paris, 16–17 November 2006.

  • Organisation for Economic Cooperation and Development (OECD) 2006b. OECD workshop on productivity analysis and measurement: Conclusions and future directions, Berne. http://www.econ.ubc.ca/diewert/conclusions.pdf.

  • Organisation for Economic Cooperation and Development (OECD) (2007a). OECD reviews of innovation policy [multiple reports] http://www.oecd.org/sti/innovation/reviews.

  • Organisation for Economic Cooperation and Development (OECD) (2007b). Science, technology, and innovation indicators in a changing world—responding to policy needs. Paris: OECD.

  • United Nations (UN), Statistical Commission (2007). Report of the Intersecretariat Working Group on National Accounts, 39th Session March 2007.

  • U.S. Census Bureau, Bureau of Economic Analysis, & National Science Foundation (2005). Research and development data link project: Final report. Available at http://www.census.gov/mcd/RDD/index.html.

  • U.S. Office of Management and Budget (OMB) (2006). FY 2008 Administration Research and Development Priorities. Memorandum for Heads of Executive Departments and Agencies. Executive Office of The President, Washington, DC. http://www.whitehouse.gov/omb/memoranda/fy2006/m06-17.pdf.

  • U.S. Office of Science and Technology Policy (OSTP), Executive Office of the President. (2006), American Competitiveness Initiative, Washington, D.C.

  • Robbins, C. A., & Moylan, C. E. (2007). Research and Development Satellite Account Update Estimates for 1959–2004 - New Estimates for Industry, Regional, and International Accounts. Survey of Current Business, 87(10), 49–64. October, Bureau of Economic Analysis. [http://www.bea.gov/industry/index.htm#satellite].

  • Rosenberg, N. (1982). Inside the Black Box: Technology and Economics. Cambridge: Cambridge University Press.

    Google Scholar 

  • Ruegg, R., & Feller, I. (2003). A toolkit for evaluating public R & D investment models, methods, and findings from ATP’s first decade. Advanced Technology Program. Gaithersburg, MD: National Institute of Standards and Technology.

  • Smith, K. (2005). Measuring innovation. In J. Fagerberg, D. C. Mowery, & R. Nelson (Eds.), The Oxford Handbook of Innovation. Oxford: Oxford University Press.

    Google Scholar 

  • Smith, B. L. R., & Barfield, C. E. (Eds). (1996). Technology, R & D, and the economy. Washington, DC: The Brookings Institution and The American Enterprise Institute.

  • Stiglitz, J. E. (2000). The contributions of the economics of information to twentieth century economics. Quarterly Journal of Economics, 115(4), 1441–1478.

    Article  Google Scholar 

  • Teece, D. J. (1986). Profiting from technological innovation: implications for integration, collaboration, licensing, and public policy. Research Policy, 15, 285–305.

    Article  Google Scholar 

  • von Zedtwitz, M., Gassmann O. (2002). Market versus technology drive in R & D internationalization: Four different patterns of managing research and development. Research Policy, 31, 569–588.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Francisco Moris.

Additional information

Views expressed are those of the authors and do not necessarily reflect those of NSF.

The authors, along with Dr. Kaye Husbands Fealing, Science Advisor for Science of Science Policy, NSF, were co-editors of the papers featured in this special issue.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Moris, F., Jankowski, J. & Perrolle, P. Advancing measures of innovation in the United States. J Technol Transfer 33, 123–130 (2008). https://doi.org/10.1007/s10961-007-9075-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10961-007-9075-6

Keywords

JEL Classifications

Navigation