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

Ilya Kuzminov (), Pavel Bakhtin (), Elena Khabirova (), Maxim Kotsemir () and Alina Lavrynenko ()
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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
Alina Lavrynenko: National Research University Higher School of Economics

No WP BRP 80/STI/2018, HSE Working papers from 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

Keywords: radical innovations; trends; weak signals; big data; text mining; food industry (search for similar items in EconPapers)
JEL-codes: C55 O1 O3 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-agr, nep-big, nep-ict and nep-ino
Date: 2018
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Published in WP BRP Series: Science, Technology and Innovation / STI, March 2018, pages 1-21

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