IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v111y2017i2d10.1007_s11192-017-2319-9.html
   My bibliography  Save this article

Science-technology-industry correlative indicators for policy targeting on emerging technologies: exploring the core competencies and promising industries of aspirant economies

Author

Listed:
  • Chan-Yuan Wong

    (University of Malaya)

  • Hon-Ngen Fung

    (University of Malaya)

Abstract

This paper seeks to contemplate a sequence of steps in connecting the fields of science, technology and industrial products. A method for linking different classifications (WoS–IPC–ISIC concordance) is proposed. The ensuing concordance tables inherit the roots of Grupp’s perspective on science, technology, product and market. The study contextualized the linking process as it can be instrumental for policy planning and technology targeting. The presented method allows us to postulate the potential development of technology in science and industrial products. The proposed method and organized concordance tables are intended as a guiding tool for policy makers to study the prospects of a technology or industry of interest. Two perceived high potential technologies—traditional medicine and ICT—that were sought by two aspirant economies—Hong Kong and Malaysia—are considered as case studies for the proposed method. The selected cases provide us the context of what technological research is being pursued for both fundamental knowledge and new industries. They enable us to understand the context of policy planning and targeting for sectoral and regional innovation systems. While we note the constraints of using joint-publishing and joint-patenting data to study the core competencies of developing economies and their potential for development, we realize that the proposed method enables us to highlight the gaps between science and technology and the core competencies of the selected economies, as well as their prospects in terms of technology and product development. The findings provide useful policy implications for further development of the respective cases.

Suggested Citation

  • Chan-Yuan Wong & Hon-Ngen Fung, 2017. "Science-technology-industry correlative indicators for policy targeting on emerging technologies: exploring the core competencies and promising industries of aspirant economies," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 841-867, May.
    • Handle: RePEc:spr:scient:v:111:y:2017:i:2:d:10.1007_s11192-017-2319-9
    DOI: 10.1007/s11192-017-2319-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-017-2319-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-017-2319-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Malerba, Franco, 2002. "Sectoral systems of innovation and production," Research Policy, Elsevier, vol. 31(2), pages 247-264, February.
    2. 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.
    3. Robinson, Douglas K.R. & Huang, Lu & Guo, Ying & Porter, Alan L., 2013. "Forecasting Innovation Pathways (FIP) for new and emerging science and technologies," Technological Forecasting and Social Change, Elsevier, vol. 80(2), pages 267-285.
    4. Chan-Yuan Wong, 2016. "Evolutionary targeting for inclusive development," Journal of Evolutionary Economics, Springer, vol. 26(2), pages 291-316, May.
    5. Lall, Sanjaya & Teubal, Morris, 1998. ""Market-stimulating" technology policies in developing countries: A framework with examples from East Asia," World Development, Elsevier, vol. 26(8), pages 1369-1385, August.
    6. Jyh-Wen Shiu & Chan-Yuan Wong & Mei-Chih Hu, 2014. "Erratum to: The dynamic effect of knowledge capitals in the public research institute: insights from patenting analysis of ITRI (Taiwan) and ETRI (Korea)," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 605-605, August.
    7. Grupp, Hariolf & Mogee, Mary Ellen, 2004. "Indicators for national science and technology policy: how robust are composite indicators?," Research Policy, Elsevier, vol. 33(9), pages 1373-1384, November.
    8. Poh Kam Wong & Yuen Ping Ho & Casey K. Chan, 2007. "Internationalization and evolution of application areas of an emerging technology: The case of nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(3), pages 715-737, March.
    9. Archibugi, Daniele & Coco, Alberto, 2004. "A New Indicator of Technological Capabilities for Developed and Developing Countries (ArCo)," World Development, Elsevier, vol. 32(4), pages 629-654, April.
    10. Jyh-Wen Shiu & Chan-Yuan Wong & Mei-Chih Hu, 2014. "The dynamic effect of knowledge capitals in the public research institute: insights from patenting analysis of ITRI (Taiwan) and ETRI (Korea)," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 2051-2068, March.
    11. Lybbert, Travis J. & Zolas, Nikolas J., 2014. "Getting patents and economic data to speak to each other: An ‘Algorithmic Links with Probabilities’ approach for joint analyses of patenting and economic activity," Research Policy, Elsevier, vol. 43(3), pages 530-542.
    12. Pavitt, Keith, 1984. "Sectoral patterns of technical change: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 13(6), pages 343-373, December.
    13. Robert J W Tijssen & Thed N van Leeuwen & Erik van Wijk, 2009. "Benchmarking university-industry research cooperation worldwide: performance measurements and indicators based on co-authorship data for the world's largest universities," Research Evaluation, Oxford University Press, vol. 18(1), pages 13-24, March.
    14. Leydesdorff, Loet & Gauthier, Elaine, 1996. "The evaluation of national performance in selected priority areas using scientometric methods," Research Policy, Elsevier, vol. 25(3), pages 431-450, May.
    15. Hafsi, Taïeb & Hu, Hao, 2016. "Sectoral innovation through competing logics: The case of antidepressants in traditional Chinese medicine," Technological Forecasting and Social Change, Elsevier, vol. 107(C), pages 80-89.
    16. Naohiro Shichijo & Silvia Rita Sedita & Yasunori Baba, 2013. "How does the entrepreneurial orientation of scientists affect their scientific performance? Evidence from the Quadrant Model," "Marco Fanno" Working Papers 0156, Dipartimento di Scienze Economiche "Marco Fanno".
    17. Loet Leydesdorff & Martin Meyer, 2007. "The scientometrics of a Triple Helix of university-industry-government relations (Introduction to the topical issue)," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(2), pages 207-222, February.
    18. D.K. Robinson & Lu Huang & Ying Guo & Alan L. Porter, 2013. "Forecasting Innovation Pathways (FIP) for new and emerging science and technologies," Post-Print hal-01071140, HAL.
    19. Hariolf Grupp, 1998. "Foundations of the Economics of Innovation," Books, Edward Elgar Publishing, number 1390.
    20. Gao, Lidan & Porter, Alan L. & Wang, Jing & Fang, Shu & Zhang, Xian & Ma, Tingting & Wang, Wenping & Huang, Lu, 2013. "Technology life cycle analysis method based on patent documents," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 398-407.
    21. Fagerberg, Jan & Fosaas, Morten & Sapprasert, Koson, 2012. "Innovation: Exploring the knowledge base," Research Policy, Elsevier, vol. 41(7), pages 1132-1153.
    22. Lall, Sanjaya & Albaladejo, Manuel, 2004. "China's Competitive Performance: A Threat to East Asian Manufactured Exports?," World Development, Elsevier, vol. 32(9), pages 1441-1466, September.
    23. Poh Kam Wong & Annette Singh, 2013. "Do co-publications with industry lead to higher levels of university technology commercialization activity?," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 245-265, November.
    24. Henry Sauermann & Paula Stephan, 2013. "Conflicting Logics? A Multidimensional View of Industrial and Academic Science," Organization Science, INFORMS, vol. 24(3), pages 889-909, June.
    25. Wagner, Caroline S. & Leydesdorff, Loet, 2005. "Network structure, self-organization, and the growth of international collaboration in science," Research Policy, Elsevier, vol. 34(10), pages 1608-1618, December.
    26. Nils C Newman & Alan L Porter & J David Roessner & Alisa Kongthon & Xiao-Yin Jin, 2005. "Differences over a decade: high tech capabilities and competitive performance of 28 nations," Research Evaluation, Oxford University Press, vol. 14(2), pages 121-128, August.
    27. Douglas K. R. Robinson & Lu Huang & Yan Guo & Alan L. Porter, 2013. "Forecasting Innovation Pathways (FIP) for new and emerging science and technologies," Post-Print hal-01070417, HAL.
    28. Alan L. Porter & Ismael Rafols, 2009. "Is science becoming more interdisciplinary? Measuring and mapping six research fields over time," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 719-745, December.
    29. Robert J. W. Tijssen & Thed N. Van Leeuwen, 2006. "Measuring impacts of academic science on industrial research: A citation-based approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(1), pages 55-69, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Henry Laverde-Rojas & Juan C. Correa, 2019. "Can scientific productivity impact the economic complexity of countries?," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 267-282, July.
    2. Hiroshi Someda & Takanori Akagi & Yuya Kajikawa, 2022. "An analysis of the spillover effects based on patents and inter-industrial transactions for an emerging blockchain technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4299-4314, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Arora, Sanjay K. & Foley, Rider W. & Youtie, Jan & Shapira, Philip & Wiek, Arnim, 2014. "Drivers of technology adoption — the case of nanomaterials in building construction," Technological Forecasting and Social Change, Elsevier, vol. 87(C), pages 232-244.
    2. Gibson, Elizabeth & Daim, Tugrul U. & Dabic, Marina, 2019. "Evaluating university industry collaborative research centers," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 181-202.
    3. Attila Havas, 2016. "Social and Business Innovations: Are Common Measurement Approaches Possible?," Foresight-Russia Форсайт, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 10(2 (eng)), pages 58-80.
    4. Cheng, Yu & Huang, Lucheng & Ramlogan, Ronnie & Li, Xin, 2017. "Forecasting of potential impacts of disruptive technology in promising technological areas: Elaborating the SIRS epidemic model in RFID technology," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 170-183.
    5. Hugo Confraria & Fernando Vargas, 2019. "Scientific systems in Latin America: performance, networks, and collaborations with industry," The Journal of Technology Transfer, Springer, vol. 44(3), pages 874-915, June.
    6. Byeongdeuk Jang & Jae-Yong Choung & Inje Kang, 2022. "Knowledge production patterns of China and the US: quantum technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5691-5719, October.
    7. Havas, Attila, 2016. "Recent economic theorising on innovation: Lessons for analysing social innovation," MPRA Paper 77385, University Library of Munich, Germany.
    8. Attila Havas, 2015. "The persistent high-tech myth in the EC policy circles - Implications for the EU10 countries," CERS-IE WORKING PAPERS 1517, Institute of Economics, Centre for Economic and Regional Studies.
    9. Huang, Ying & Porter, Alan L. & Zhang, Yi & Lian, Xiangpeng & Guo, Ying, 2019. "An assessment of technology forecasting: Revisiting earlier analyses on dye-sensitized solar cells (DSSCs)," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 831-843.
    10. Huang, Ying & Porter, Alan L. & Cunningham, Scott W. & Robinson, Douglas K.R. & Liu, Jianhua & Zhu, Donghua, 2018. "A technology delivery system for characterizing the supply side of technology emergence: Illustrated for Big Data & Analytics," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 165-176.
    11. Havas, Attila, 2014. "Mit mér(j)ünk?. Az innováció értelmezései - szakpolitikai következmények [The theory and measurement of innovation and its mutual effect on policy]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 1022-1059.
    12. Ávila-Robinson, Alfonso & Islam, Nazrul & Sengoku, Shintaro, 2019. "Co-evolutionary and systemic study on the evolution of emerging stem cell-based therapies," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 324-339.
    13. Attila Havas, 2015. "Various approaches to measuring business innovation: their relevance for capturing social innovation," CERS-IE WORKING PAPERS 1554, Institute of Economics, Centre for Economic and Regional Studies.
    14. Coccia, Mario & Wang, Lili, 2015. "Path-breaking directions of nanotechnology-based chemotherapy and molecular cancer therapy," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 155-169.
    15. Lai, Kuei-Kuei & Chen, Yu-Long & Kumar, Vimal & Daim, Tugrul & Verma, Pratima & Kao, Fang-Chen & Liu, Ruirong, 2023. "Mapping technological trajectories and exploring knowledge sources: A case study of E-payment technologies," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    16. Wong, Chan-Yuan & Wang, Lili, 2015. "Trajectories of science and technology and their co-evolution in BRICS: Insights from publication and patent analysis," Journal of Informetrics, Elsevier, vol. 9(1), pages 90-101.
    17. Li, Xin & Xie, Qianqian & Jiang, Jiaojiao & Zhou, Yuan & Huang, Lucheng, 2019. "Identifying and monitoring the development trends of emerging technologies using patent analysis and Twitter data mining: The case of perovskite solar cell technology," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 687-705.
    18. Chan-Yuan Wong, 2016. "Evolutionary targeting for inclusive development," Journal of Evolutionary Economics, Springer, vol. 26(2), pages 291-316, May.
    19. Susana Martins Moretto & António Brandão Moniz & Douglas Robinson, 2015. "Visions on high-speed trains: a methodological analysis," IET Working Papers Series 05/2015, Universidade Nova de Lisboa, IET/CICS.NOVA-Interdisciplinary Centre on Social Sciences, Faculty of Science and Technology.
    20. Kwon, Seokbeom & Liu, Xiaoyu & Porter, Alan L. & Youtie, Jan, 2019. "Research addressing emerging technological ideas has greater scientific impact," Research Policy, Elsevier, vol. 48(9), pages 1-1.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:111:y:2017:i:2:d:10.1007_s11192-017-2319-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.