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Mapping the Radical Innovations in Food Industry: A Text Mining Study

Author

Listed:
  • Ilya Kuzminov

    () (National Research University Higher School of Economics)

  • Pavel Bakhtin

    () (National Research University Higher School of Economics)

  • Elena Khabirova

    () (National Research University Higher School of Economics)

  • Maxim Kotsemir

    () (National Research University Higher School of Economics)

  • Alina Lavrynenko

    () (National Research University Higher School of Economics)

Abstract

The article presents the results of the study of radical innovations in the global food industry which were obtained through semantic analysis of heterogeneous unstructured text data sources by applying innovative big data text mining system. The approach used allows performing rapid, yet comprehensive aggregation of the whole polyphony of existing knowledge of the technology development in any sector for traditional foresight, future oriented technology analysis, and horizon scanning studies. The sources for the analysis include research papers, patent applications with both full-text data and additional structured metadata, analytical reports by main international organizations and national key players, various media and news resources, including all the major technology innovation, disruption and venture capital news websites. Their processing with an introduced approach for trend- and technology-mapping helps to identify ongoing and emerging technology-related trends, weak signals on possible scientific breakthroughs in the global food industry, including most promising startup strategies and food innovation controversies. This kind of analysis can be performed on a regular basis owing to constant accumulation of textual data and serve as a framework for constant science and technology (S&T) monitoring for early warning on changing technology landscape and its implications on agriculture and food markets

Suggested Citation

  • Ilya Kuzminov & Pavel Bakhtin & Elena Khabirova & Maxim Kotsemir & Alina Lavrynenko, 2018. "Mapping the Radical Innovations in Food Industry: A Text Mining Study," HSE Working papers WP BRP 80/STI/2018, National Research University Higher School of Economics.
  • Handle: RePEc:hig:wpaper:80sti2018
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    File URL: https://wp.hse.ru/data/2018/03/19/1164221997/80STI2018.pdf
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    References listed on IDEAS

    as
    1. Ting, S.L. & Tse, Y.K. & Ho, G.T.S. & Chung, S.H. & Pang, G., 2014. "Mining logistics data to assure the quality in a sustainable food supply chain: A case in the red wine industry," International Journal of Production Economics, Elsevier, vol. 152(C), pages 200-209.
    2. Sahn, David E. (ed.), 2015. "The Fight Against Hunger and Malnutrition: The Role of Food, Agriculture, and Targeted Policies," OUP Catalogue, Oxford University Press, number 9780198733201.
    3. Robert D. Dewar & Jane E. Dutton, 1986. "The Adoption of Radical and Incremental Innovations: An Empirical Analysis," Management Science, INFORMS, vol. 32(11), pages 1422-1433, November.
    4. repec:spr:scient:v:111:y:2017:i:3:d:10.1007_s11192-017-2347-5 is not listed on IDEAS
    5. repec:wsi:ijimxx:v:19:y:2015:i:02:n:s1363919615500267 is not listed on IDEAS
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    Cited by:

    1. 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

    Keywords

    radical innovations; trends; weak signals; big data; text mining; food industry;

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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