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Selection of information sources for identifying technology trends: A comparative analysis

Author

Listed:
  • Nadezhda Mikova

    (National Research University Higher School of Economics (Russia))

  • Anna Sokolova

    (National Research University Higher School of Economics (Russia))

Abstract

Technology foresight is mainly conducted by applying a combination of qualitative and quantitative methods. An evidence-based approach implies covering a wide range of information sources, as well as the active application of quantitative methods for processing. Therefore, it is very important to select the right sources of data, extract core information from them, and interpret the results correctly. In theoretical works devoted to identifying technology trends, the most widely used information sources are scientific publications and patents. There are also authors who propose relying on additional sources of data (media, conferences, business-related resources, and others). However, the issue of applicability and comparison of core and extra sources of information for monitoring technology trends has not received sufficient coverage in the literature. In connection with this, the purpose of this paper is to conduct a comparative analysis of the results of technology monitoring by using various information sources (scientific publications, patents, media, foresight-projects, conferences, international projects, dissertations, and presentations). The proposed approach is tested on the area of green energy and the results are described and analyzed. Possible factors that can affect the results of data processing are considered and discussed in order to more efficiently use the comparative analysis of quantitative and qualitative procedures for identifying, correcting, and updating global technology trends on a regular basis.

Suggested Citation

  • Nadezhda Mikova & Anna Sokolova, 2014. "Selection of information sources for identifying technology trends: A comparative analysis," HSE Working papers WP BRP 25/STI/2014, National Research University Higher School of Economics.
    • Handle: RePEc:hig:wpaper:25sti2014
    as

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    References listed on IDEAS

    as
    1. Hanning Guo & Scott Weingart & Katy Börner, 2011. "Mixed-indicators model for identifying emerging research areas," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 421-435, October.
    2. Campbell, Richard S., 1983. "Patent trends as a technological forecasting tool," World Patent Information, Elsevier, vol. 5(3), pages 137-143.
    3. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    4. Fattori, Michele & Pedrazzi, Giorgio & Turra, Roberta, 2003. "Text mining applied to patent mapping: a practical business case," World Patent Information, Elsevier, vol. 25(4), pages 335-342, December.
    5. Cobo, M.J. & López-Herrera, A.G. & Herrera-Viedma, E. & Herrera, F., 2011. "An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field," Journal of Informetrics, Elsevier, vol. 5(1), pages 146-166.
    6. Leonid Gokhberg & Konstantin Fursov & Ian Miles & Giulio Perani, 2013. "Developing and using indicators of emerging and enabling technologies," Chapters, in: Fred Gault (ed.), Handbook of Innovation Indicators and Measurement, chapter 15, pages 349-380, Edward Elgar Publishing.
    7. S. Phineas Upham & Henry Small, 2010. "Emerging research fronts in science and technology: patterns of new knowledge development," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 15-38, April.
    8. Corrocher Nicoletta & Malerba Franco & Montobbio Fabio, 2003. "The emergence of new technologies in the ICT field: main actors, geographical distribution and knowledge sources," Economics and Quantitative Methods qf0317, Department of Economics, University of Insubria.
    9. Dirk Meissner & Alexander Sokolov, 2013. "Foresight and science, technology and innovation indicators," Chapters, in: Fred Gault (ed.), Handbook of Innovation Indicators and Measurement, chapter 16, pages 381-402, Edward Elgar Publishing.
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    Cited by:

    1. Nadezhda S. Mikova, 2016. "Climate Change and Our Future: Anticipating Trends and Challenges Using Media Data," HSE Working papers WP BRP 65/STI/2016, National Research University Higher School of Economics.

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    More about this item

    Keywords

    technology foresight; technology trends monitoring; evidence-based studies; quantitative methods; information sources; data clustering; green energy;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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