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Global technology trends monitoring: theoretical Frameworks and best practices

Author

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  • Nadezhda Mikova

    (Institute for Statistical Studies and Economics of Knowledge, National Research University — Higher School of Economics. Address: 20, Myasnitskaya str., Moscow 101000, Russian Federation)

  • Anna Sokolova

    (Institute for Statistical Studies and Economics of Knowledge, National Research University — Higher School of Economics. Address: 20, Myasnitskaya str., Moscow 101000, Russian Federation)

Abstract

Monitoring and accurate interpretation of the data on technological trends is a key prerequisite for the gaining competitive advantages in various economic sectors. Validation of expert assessments via quantitative methods helps to reveal inexplicit signs of technological change based on the analysis of large data sets. Synthesis of qualitative and quantitative methods enables identification of global technological trends, formalization of their criteria, and creation of automated information processing tools. The paper presents an analytical review of international practices for monitoring global technology trends, as well as the key theoretical approaches and methods, which have been developed in this field.

Suggested Citation

  • Nadezhda Mikova & Anna Sokolova, 2014. "Global technology trends monitoring: theoretical Frameworks and best practices," Foresight-Russia Форсайт, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 8(4 (eng)), pages 64-83.
    • Handle: RePEc:scn:013126:15723368
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    Cited by:

    1. Najmeh Masoumi & Reza Khajavi, 2023. "A fuzzy classifier for evaluation of research topics by using keyword co-occurrence network and sponsors information," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1485-1512, March.
    2. Rinat Zhanbayev & Saule Sagintayeva & Abildina Ainur & Anton Nazarov, 2020. "The Use of the Foresight Methods in Developing an Algorithm for Conducting Qualitative Examination of the Research Activities Results on the Example of the Republic of Kazakhstan," Mathematics, MDPI, vol. 8(11), pages 1-19, November.
    3. Pavel Bakhtin & Ozcan Saritas & Alexander Chulok & Ilya Kuzminov & Anton Timofeev, 2017. "Trend monitoring for linking science and strategy," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 2059-2075, June.
    4. Elena Nikolaevna ZAKHAROVA & Elena Evgenyevna KARDAVA & Rita Rafaelovna AVANESOVA & Elena Petrovna AVRAMENKO, 2016. "Management Of The Economic Capacity Of The Region On The Basis Of Foresight (On The Example Of Adygea, Russia)," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 45-53, June.
    5. Sergey Kortov & Dmitry Shulgin & Dmitrii Tolmachev & Anastassiya Yegarmina, 2017. "Technology Trends Analysis Using Patent Landscaping," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 935-947.
    6. Carayannis, Elias & Grebeniuk, Anna & Meissner, Dirk, 2016. "Smart roadmapping for STI policy," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 109-116.
    7. Ilya Kuzminov & Pavel Bakhtin & Elena Khabirova & Irina V. Loginova, 2018. "Detecting and Validating Global Technology Trends Using Quantitative and Expert-Based Foresight Techniques," HSE Working papers WP BRP 82/STI/2018, National Research University Higher School of Economics.

    More about this item

    JEL classification:

    • 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

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