Skip to main content
Log in

Boundary-spanning in emerging technology research: determinants of funding success for academic scientists

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

Abstract

Emerging technologies, including nanotechnologies, are generally seen as those latest scientific innovations which have a potential impact on industry structure, and commercialization and economic potential. Work in this area of emerging technologies has distinct boundary spanning characteristics from the perspective of academic science. First, many emerging technologies involve collaboration of scientists across disciplinary boundaries. Second, because of the commercializability of many emerging technologies, scientists may interact more often with industry throughout the research and commercialization process. We ask, what are the boundary-spanning characteristics of scientists engaged in emerging technology research and how do those characteristics matter in obtaining funding in this area? We examine the characteristics of academic scientists in the United States who are employed in research intensive institutions and who are engaged in funded research in the area of emerging technologies. We address the factors that predict their grant success in areas of emerging technology. Findings reveal that interdisciplinary activities and industry orientation are both important in predicting funding in areas of emerging technology. Moreover, the findings imply that the emergence of new technologies may offer opportunities for women in low representation fields.

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.

Fig. 1
Fig. 2

Similar content being viewed by others

Notes

  1. Non responses due to bad addresses were also removed for the calculation of response rate. For example, 136 of the emails were “bounced back” due to a bad email address and 19 were “returned to sender” by the recipients’ university email servers.

  2. http://www.technologyreview.com/article/16465/.

References

  • Azagra-Caro, J. M. (2007). What type of faculty member interacts with what type of firm? Some reasons for the delocalisation of university-industry interaction. Technovation, 27(11), 704–715.

    Article  Google Scholar 

  • Azoulay, P., Ding, W., et al. (2007). The determinants of faculty patenting behavior: Demographics or opportunities? Journal of Economic Behavior & Organization, 63(4), 599–623.

    Article  Google Scholar 

  • Balconi, M., & Laboranti, A. (2006). University-industry interactions in applied research: The case of microelectronics. Research Policy, 35(10), 1616–1630.

    Article  Google Scholar 

  • Bassecoulard, E., Lelu, A., et al. (2007). Mapping nanosciences by citation flows: A preliminary analysis. Scientometrics, 70(3), 859–880.

    Article  Google Scholar 

  • Birley, S. (1985). The role of networks in the entrepreneurial process. Journal of Business Venturing, 1(1), 107–117.

    Article  Google Scholar 

  • Blumenthal, D., Campbell, E. G., et al. (2006). Data withholding in genetics and the other life sciences: Prevalences and predictors. Academic Medicine, 81(2), 137–145.

    Article  Google Scholar 

  • Bordons, M., Zulueta, M., et al. (1999). Measuring interdisciplinary collaboration within a university: The effects of the multidisciplinary research programme. Scientometrics, 46(3), 383–398.

    Article  Google Scholar 

  • Bozeman, B., & Corley, E. (2004). Scientists’ collaboration strategies: Implications for scientific and technical human capital. Research Policy, 33(4), 599–616.

    Article  Google Scholar 

  • Bozeman, B., & Dietz, J. (2001). Scientific and technical human capital: An alternative model for research evaluation. International Journal of Technology Management, 22, 716–740.

    Article  Google Scholar 

  • Bozeman, B., Laredo, P., et al. (2007). Understanding the emergence and deployment of “nano” S&T. Research Policy, 36, 807–812.

    Article  Google Scholar 

  • Bruer, J., Cole, J., & Zuckerman, H. (1991). The outer circle: Women in scientific community. New York: Norton Publishing.

  • Burt, R. S., & Minor, M. J. (1983). Applied network analysis: A methodological introduction. Beverly Hills: Sage Publications.

  • Carayol, N., & Thuc Uyen Nguyen, T. (2005). Why do academic scientists engage in interdisciplinary research. Research Evaluation, 14(1), 70–79.

    Article  Google Scholar 

  • D’Este, P., & Patel, P. (2005). University—industry linkages in the UK: What are the factors determining the variety of university researchers’ interactions with industry. Proceedings of 5th triple helix conference, Turin, Italy, 18–21 May.

  • Day, G. S., & Schoemaker, P. J. H. (2000). A different game. In G. S. Day, P. J. H. Schoemaker, & R. E. Gunther (Eds.), Wharton on managing emerging technologies. New York: Wiley.

    Google Scholar 

  • Diamond, A. (1985). The money value of citations to single-authored and multiple-authored articles. Scientometrics, 8(5), 315–320.

    Article  Google Scholar 

  • Evetts, J. (1996). Gender and career in science and engineering. Bristol, PA: Taylor & Francis.

    Google Scholar 

  • Fox, M. F. (2005). Gender, family characteristics, and publication productivity among scientists. Social Studies of Science, 35(1), 131–150.

    Article  Google Scholar 

  • Geuna, A. (2001). The changing rationale for European University research funding: Are there negative unintended consequences? Journal of Economic Issues, 35(3), 607.

    Google Scholar 

  • Godin, B., & Gingras, Y. (2000). What is scientific and technological culture and how is it measured? A multidimensional model. Public Understanding of Science, 9(1), 43–48.

    Article  Google Scholar 

  • Gulbrandsen, M., & Smeby, J.-C. (2005). Industry funding and university professors’ research performance. Research Policy, 34(6), 932–950.

    Article  Google Scholar 

  • Heinze, T., & Bauer, G. (2007). Characterizing creative scientists in nano-S&T: Productivity, multidisciplinarity, and network brokerage in a longitudinal perspective. Scientometrics, 70(3), 811–830.

    Article  Google Scholar 

  • Herbertz, H., & Muller-Hill, B. (1995). Quality and efficiency of basic research in molecular biology: A bibliometric analysis of thirteen excellent research institutes. Research Policy, 24(6), 959–979.

    Article  Google Scholar 

  • Hu, D., Chen, H., et al. (2007). Longitudinal study on patent citations to academic research articles in nanotechnology (1976–2004). Journal of Nanoparticle Research, 9, 529–542.

    Article  Google Scholar 

  • Huang, Z., Chen, H., et al. (2004). International nanotechnology development in 2003: Country, institution, and technology field analysis based on USPTO patent database. Journal of nanoparticle Research, 6, 325–354.

    Article  Google Scholar 

  • Hullmann, A., & Meyer, M. (2003). Publications and patents in nanotechnology. Scientometrics, 58(3), 507–527.

    Article  Google Scholar 

  • Kastenhofer, K., & Röggla, G. (2007). Is women scientists’ approach to science more interdisciplinary? Wiener Klinische Wochenschrift, 119(21), 678.

    Article  Google Scholar 

  • Link, A. N., Siegel, D. S., et al. (2007). An empirical analysis of the propensity of academics to engage in informal university technology transfer. Industrial and Corporate Change, 16(4), 641–655.

    Article  Google Scholar 

  • Livesay, D. R. (2007). At the crossroads of biomacromolecular research: Highlighting the interdisciplinary nature of the field. Chemistry Central Journal, 1, 1–4.

    Article  Google Scholar 

  • Long, J. S., & Fox, M. F. (1995). Scientific careers: Universalism and particularism. Annual Review of Sociology, 21, 45–71.

    Article  Google Scholar 

  • Lung, R. B., Masanet, E., et al. (2006). The role of emerging technologies in improving energy efficiency: Examples from the food processing industry. New Orleans, Louisiana: Industrial Energy Technology Conference.

    Google Scholar 

  • Merton, R. K. (1957). Priorities in scientific discovery: A chapter in the sociology of science. American Sociological Review, 22(6), 635–659.

    Article  Google Scholar 

  • Merton, R. K. (1970). Behavior patterns of scientists. Leonardo, 3(2), 213–220.

    Article  Google Scholar 

  • Meyer, M., & Persson, O. (1998). Nanotechnology—interdisciplinarity, patterns of collaboration and differences in application. Scientometrics, 42(2), 195–205.

    Article  Google Scholar 

  • Morillo, F., Bordons, M., et al. (2001). An approach to interdisciplinarity through bibliometric indicators. Scientometrics, 51(1), 203–222.

    Article  Google Scholar 

  • Nanotech. (2008). UAlbany NanoCollege GIVES STUDENTS A VIEW of growing career opportunities in nanotechnology, from http://www.nanotech-now.com/news.cgi?story_id=30962.

  • Narin, F., Stevens, K., et al. (1991). Scientific co-operation in Europe and the citation of multinationally authored papers. Scientometrics, 21(3), 313–323.

    Article  Google Scholar 

  • Nicolaou, N., & Birley, S. (2003). Academic networks in a trichotomous categorisation of university spinouts. Journal of Business Venturing, 18(3), 333–359.

    Article  Google Scholar 

  • Niederle, M., & Vesterlund, L. (2005). Do women shy away from competition? Do men compete too much? National Bureau of Economic Research Working Paper no. 11474.

  • NIH. (2008). NIH funding, from http://report.nih.gov/index.aspx?section=NIHFunding.

  • NNI. (2008). Funding, from http://www.nano.gov/html/about/funding.html.

  • Oliver, A. L. (2004). Biotechnology entrepreneurial scientists and their collaborations. Research Policy, 33, 583–597.

    Article  Google Scholar 

  • Ponomariov, B. (2008). Effects of university characteristics on scientists’ interactions with the private sector: An exploratory assessment. The Journal of Technology Transfer, 33(5), 485–503.

    Article  Google Scholar 

  • Porac, J. F., Wade, J. B., et al. (2004). Human capital heterogeneity, collaborative relationships, and publication patterns in a multidisciplinary scientific alliance: A comparative case study of two scientific teams. Research Policy, 33(4), 661–678.

    Article  Google Scholar 

  • Porter, A. L., Roessner, J. D., et al. (2002). Measuring national ‘emerging technology’ capabilities. Science and Public Policy, 29(3), 189–200.

    Article  Google Scholar 

  • Rafols, I., & Meyer, M. (2007). How cross-disciplinary is bionanotechnology? Explorations in the specialty of molecular motors. Scientometrics, 70(3), 633–650.

    Article  Google Scholar 

  • Rhoten, D., & Pfirman, S. (2007). Women in interdisciplinary science: Exploring preferences and consequences. Research Policy, 36(1), 56–75.

    Article  Google Scholar 

  • Schummer, J. (2004). Multidisciplinarity, interdisciplinarity, and patterns of research collaboration in nanoscience and nanotechnology. Scientometrics, 59(3), 425–465.

    Article  Google Scholar 

  • Sigogneau, A., Malagutti, O., et al. (2005). Cross-disciplinary research: Co-evaluation and co-publication practices of the CNRS laboratories. Research Evaluation, 14(2), 165–176.

    Article  Google Scholar 

  • Slaughter, S., & Rhoades, G. (1996). The emergence of a competitiveness research and development policy coalition and the commercialization of academic science and technology. Science, Technology & Human Values, 21(3), 303–339.

    Article  Google Scholar 

  • Smith-Doerr, L. (2004). Flexibility and fairness: Effects of the network form of organization on gender equity in life science careers. Sociological Perspectives, 47(1), 25–54.

    Article  Google Scholar 

  • Sonnert, G., & Holton, G. (1995). Who succeed in science? The gender dimension. New Brunswick, NJ: Rutgers University Press.

    Google Scholar 

  • Stephan, P. E. (1996). The economics of science. Journal of Economic Literature, XXXIV(September), 1199–1235.

    Google Scholar 

  • Stephan, P., & El-Ganainy, A. (2007). The entrepreneurial puzzle: Explaining the gender gap. The Journal of Technology Transfer, 32(5), 475–487.

    Article  Google Scholar 

  • Stuart, T., & Ding, W. (2006). When do scientists become entrepreneurs? The social structural antecedents of commercial activity in the academic life sciences. American Journal of Sociology, 112(1), 97–144.

    Article  Google Scholar 

  • Tang, J. (2003). Women succeeding in science in the twentieth century. Sociological Forum, 18(2), 325.

    Article  Google Scholar 

  • Thi, T. U. N., & Lahatte, A. (2003). Measuring and assessing relative disciplinary openness in university research units. Research Evaluation, 12(1), 29–37.

    Article  Google Scholar 

  • Thorsteinsdottir, O. H. (2000). External research collaboration in two small science systems. Scientometrics, 49(1), 145–160.

    Article  Google Scholar 

  • UTSystem. (2006). UT system to launch nanoelectronics initiative, from http://www.utsystem.edu/news/2006/BOR-Nanoelectronics-07-14-06.htm.

  • Walsh, J. P., Cohen, W. M., et al. (2007). Where excludability matters: Material versus intellectual property in academic biomedical research. Research Policy, 36, 1184–1203.

    Article  Google Scholar 

  • Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge: Cambridge University Press.

  • Welsh, R., & Glenna, L. (2006). Considering the role of the University in conducting research on agri-biotechnologies. Social Studies of Science, 36(6), 929–942.

    Article  Google Scholar 

Download references

Acknowledgments

Many thanks to the scientists who contributed data to this project, and to Dr. Laurel Smith-Doerr and the anonymous reviewers for their thoughtful comments. Thank you also to the National Science Foundation for their support of this work. Data analyzed in this paper were collected as part of the 2005–2009 project, “Women in Science and Engineering: Network Access, Participation, and Career Outcomes,” (NETWISE 2006) a project funded by the National Science Foundation (Grant # REC-0529642) (Co-PI’s Dr. Julia Melkers and Dr. Eric Welch.). Opinions expressed in this paper are not necessarily shared by the Georgia Institute of Technology or the University of Illinois at Chicago.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Julia Melkers.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Melkers, J., Xiao, F. Boundary-spanning in emerging technology research: determinants of funding success for academic scientists. J Technol Transf 37, 251–270 (2012). https://doi.org/10.1007/s10961-010-9173-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10961-010-9173-8

Keywords

JEL Classification

Navigation