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

28 Pages Posted: 20 Mar 2018 Last revised: 7 Dec 2018

See all articles by Ilya Kuzminov

Ilya Kuzminov

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

Date Written: March 19, 2018

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

JEL Classification: C55, O1, O3

Suggested Citation

Kuzminov, Ilya and Bakhtin, Pavel and Khabirova, Elena and Kotsemir, Maxim and Lavrynenko, Alina, Mapping the Radical Innovations in Food Industry: A Text Mining Study (March 19, 2018). Higher School of Economics Research Paper No. WP BRP 80/STI/2018. Available at SSRN: https://ssrn.com/abstract=3143721 or http://dx.doi.org/10.2139/ssrn.3143721

Ilya Kuzminov

Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Pavel Bakhtin

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Elena Khabirova (Contact Author)

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Maxim Kotsemir

National Research University - Higher School of Economics ( email )

Myasnitskaya street, 20
Myasnitskaya street, 20
Moscow, RI Moscow 119017
Russia

HOME PAGE: http://www.hse.ru/en/org/persons/11252958

Alina Lavrynenko

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Register to save articles to
your library

Register

Paper statistics

Downloads
228
Abstract Views
962
rank
132,325
PlumX Metrics