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Technological impact of biomedical research: The role of basicness and novelty

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  • Ke, Qing

Abstract

An ongoing interest in innovation studies is to understand how knowledge generated from scientific research can be used in the development of technologies. While previous inquiries have devoted to studying the scientific capacity of technologies and institutional factors facilitating technology transfer, little is known about the intrinsic characteristics of scientific publications that gain direct technological impact. Here we focus on two features, namely basicness and novelty. Using a corpus of 3.8 million papers published between 1980 and 1999, we find that basic science papers and novel papers are substantially more likely to achieve direct technological impact. Further analysis that limits to papers with technological impact reveals that basic science and novel science have more patent citations, experience shorter time lag, and have impact in broader technological fields.

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  • Ke, Qing, 2020. "Technological impact of biomedical research: The role of basicness and novelty," Research Policy, Elsevier, vol. 49(7).
  • Handle: RePEc:eee:respol:v:49:y:2020:i:7:s0048733320301499
    DOI: 10.1016/j.respol.2020.104071
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    as
    1. Meyer, Martin, 2000. "Does science push technology? Patents citing scientific literature," Research Policy, Elsevier, vol. 29(3), pages 409-434, March.
    2. McMillan, G. Steven & Narin, Francis & Deeds, David L., 2000. "An analysis of the critical role of public science in innovation: the case of biotechnology," Research Policy, Elsevier, vol. 29(1), pages 1-8, January.
    3. Godin, Benoit, 1996. "Research and the practice of publication in industries," Research Policy, Elsevier, vol. 25(4), pages 587-606, June.
    4. Ke, Qing, 2018. "Comparing scientific and technological impact of biomedical research," Journal of Informetrics, Elsevier, vol. 12(3), pages 706-717.
    5. Narin, Francis & Olivastro, Dominic, 1992. "Status report: Linkage between technology and science," Research Policy, Elsevier, vol. 21(3), pages 237-249, June.
    6. Wang, Jian & Veugelers, Reinhilde & Stephan, Paula, 2017. "Bias against novelty in science: A cautionary tale for users of bibliometric indicators," Research Policy, Elsevier, vol. 46(8), pages 1416-1436.
    7. Gambardella, Alfonso, 1992. "Competitive advantages from in-house scientific research: The US pharmaceutical industry in the 1980s," Research Policy, Elsevier, vol. 21(5), pages 391-407, October.
    8. Jaffe, Adam B, 1989. "Real Effects of Academic Research," American Economic Review, American Economic Association, vol. 79(5), pages 957-970, December.
    9. Lim, Kwanghui, 2004. "The relationship between research and innovation in the semiconductor and pharmaceutical industries (1981-1997)," Research Policy, Elsevier, vol. 33(2), pages 287-321, March.
    10. Martin S. Meyer, 2001. "Patent citation analysis in a novel field of technology:An exploration of nano-science and nano-technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 163-183, April.
    11. Balconi, Margherita & Brusoni, Stefano & Orsenigo, Luigi, 2010. "In defence of the linear model: An essay," Research Policy, Elsevier, vol. 39(1), pages 1-13, February.
    12. Veugelers, Reinhilde & Wang, Jian, 2019. "Scientific novelty and technological impact," Research Policy, Elsevier, vol. 48(6), pages 1362-1372.
    13. Fang Han & Christopher L. Magee, 2018. "Testing the science/technology relationship by analysis of patent citations of scientific papers after decomposition of both science and technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 767-796, August.
    14. Pierre Azoulay & Joshua S. Graff Zivin & Gustavo Manso, 2011. "Incentives and creativity: evidence from the academic life sciences," RAND Journal of Economics, RAND Corporation, vol. 42(3), pages 527-554, September.
    15. Julie Callaert & Maikel Pellens & Bart Looy, 2014. "Sources of inspiration? Making sense of scientific references in patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1617-1629, March.
    16. Popp, David, 2017. "From science to technology: The value of knowledge from different energy research institutions," Research Policy, Elsevier, vol. 46(9), pages 1580-1594.
    17. Narin, Francis & Hamilton, Kimberly S. & Olivastro, Dominic, 1997. "The increasing linkage between U.S. technology and public science," Research Policy, Elsevier, vol. 26(3), pages 317-330, October.
    18. Lee Fleming, 2001. "Recombinant Uncertainty in Technological Search," Management Science, INFORMS, vol. 47(1), pages 117-132, January.
    19. Gittelman, Michelle, 2016. "The revolution re-visited: Clinical and genetics research paradigms and the productivity paradox in drug discovery," Research Policy, Elsevier, vol. 45(8), pages 1570-1585.
    20. Etzkowitz, Henry & Leydesdorff, Loet, 2000. "The dynamics of innovation: from National Systems and "Mode 2" to a Triple Helix of university-industry-government relations," Research Policy, Elsevier, vol. 29(2), pages 109-123, February.
    21. Verhoeven, Dennis & Bakker, Jurriën & Veugelers, Reinhilde, 2016. "Measuring technological novelty with patent-based indicators," Research Policy, Elsevier, vol. 45(3), pages 707-723.
    22. Wagner, Caroline S. & Whetsell, Travis A. & Mukherjee, Satyam, 2019. "International research collaboration: Novelty, conventionality, and atypicality in knowledge recombination," Research Policy, Elsevier, vol. 48(5), pages 1260-1270.
    23. Morlacchi, Piera & Nelson, Richard R., 2011. "How medical practice evolves: Learning to treat failing hearts with an implantable device," Research Policy, Elsevier, vol. 40(4), pages 511-525, May.
    24. Debackere, Koenraad & Veugelers, Reinhilde, 2005. "The role of academic technology transfer organizations in improving industry science links," Research Policy, Elsevier, vol. 34(3), pages 321-342, April.
    25. Michael Roach & Wesley M. Cohen, 2013. "Lens or Prism? Patent Citations as a Measure of Knowledge Flows from Public Research," Management Science, INFORMS, vol. 59(2), pages 504-525, October.
    26. Shuo Xu & Dongsheng Zhai & Feifei Wang & Xin An & Hongshen Pang & Yirong Sun, 2019. "A novel method for topic linkages between scientific publications and patents," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 70(9), pages 1026-1042, September.
    27. Chai, Sen & Menon, Anoop, 2019. "Breakthrough recognition: Bias against novelty and competition for attention," Research Policy, Elsevier, vol. 48(3), pages 733-747.
    28. Bruno Cassiman & Reinhilde Veugelers & Pluvia Zuniga, 2008. "In search of performance effects of (in)direct industry science links," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 17(4), pages 611-646, August.
    29. Di Gregorio, Dante & Shane, Scott, 2003. "Why do some universities generate more start-ups than others?," Research Policy, Elsevier, vol. 32(2), pages 209-227, February.
    30. Lee Fleming & Olav Sorenson, 2004. "Science as a map in technological search," Strategic Management Journal, Wiley Blackwell, vol. 25(8‐9), pages 909-928, August.
    31. Kevin J. Boudreau & Eva C. Guinan & Karim R. Lakhani & Christoph Riedl, 2016. "Looking Across and Looking Beyond the Knowledge Frontier: Intellectual Distance, Novelty, and Resource Allocation in Science," Management Science, INFORMS, vol. 62(10), pages 2765-2783, October.
    32. Breschi, Stefano & Catalini, Christian, 2010. "Tracing the links between science and technology: An exploratory analysis of scientists' and inventors' networks," Research Policy, Elsevier, vol. 39(1), pages 14-26, February.
    33. Francis Narin & Gabriel Pinski & Helen Hofer Gee, 1976. "Structure of the Biomedical Literature," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 27(1), pages 25-45, January.
    34. Margaret E. Blume-Kohout, 2012. "Does Targeted, Disease‐Specific Public Research Funding Influence Pharmaceutical Innovation?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 31(3), pages 641-660, June.
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    4. Xu, Shuo & Hao, Liyuan & Yang, Guancan & Lu, Kun & An, Xin, 2021. "A topic models based framework for detecting and forecasting emerging technologies," Technological Forecasting and Social Change, Elsevier, vol. 162(C).

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