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Tech mining to generate indicators of future national technological competitiveness: Nano-Enhanced Drug Delivery (NEDD) in the US and China

Author

Listed:
  • Ying Guo
  • Xiao Zhou
  • Alan L. Porter

    (School of Public Policy - Georgia Institute of Technology [Atlanta])

  • Douglas K. R. Robinson

    (LISIS - Laboratoire Interdisciplinaire Sciences, Innovations, Sociétés - INRA - Institut National de la Recherche Agronomique - UPEM - Université Paris-Est Marne-la-Vallée - ESIEE Paris - CNRS - Centre National de la Recherche Scientifique)

Abstract

"Global technological competitiveness" is widely acknowledged, but the challenge is to go beyond this recognition to develop empirical indicators of important transitions. These may concern particular technologies, the competitive position of particular organizations, or national/regional shifts. For decades, the US has been the world leader in biomedical technologies, with attendant implications for organizational priorities in terms of R&D location and market targeting. Recent years have seen a tremendous acceleration in Asian research in most domains, including biomedical, particularly visible in China. This paper investigates comparative patterns between the US and China in a promising emerging area of biotechnology — Nano-Enhanced Drug Delivery. It then explores indicators of, and implications for, future transitions at the national level — an approach we label "Forecasting Innovation Pathways."

Suggested Citation

  • Ying Guo & Xiao Zhou & Alan L. Porter & Douglas K. R. Robinson, 2015. "Tech mining to generate indicators of future national technological competitiveness: Nano-Enhanced Drug Delivery (NEDD) in the US and China," Post-Print hal-01276911, HAL.
    • Handle: RePEc:hal:journl:hal-01276911
    DOI: 10.1016/j.techfore.2014.02.026
    as

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    Cited by:

    1. Daim, Tugrul U. & Yoon, Byung-Sung & Lindenberg, John & Grizzi, Robert & Estep, Judith & Oliver, Terry, 2018. "Strategic roadmapping of robotics technologies for the power industry: A multicriteria technology assessment," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 49-66.
    2. Zhou, Xiao & Huang, Lu & Porter, Alan & Vicente-Gomila, Jose M., 2019. "Tracing the system transformations and innovation pathways of an emerging technology: Solid lipid nanoparticles," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 785-794.
    3. Liu, Na & Guan, JianCheng, 2016. "Policy and innovation: Nanoenergy technology in the USA and China," Energy Policy, Elsevier, vol. 91(C), pages 220-232.
    4. Sungchul Kim & Dongsik Jang & Sunghae Jun & Sangsung Park, 2015. "A Novel Forecasting Methodology for Sustainable Management of Defense Technology," Sustainability, MDPI, vol. 7(12), pages 1-17, December.

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