Emerging Technologies Identification in Foresight and Strategic Planning: Case of Agriculture and Food Sector
The paper discloses a new approach to sectoral emerging technologies identification and their future development analysis. Proposed research strategy relies on a combination of traditional foresight methods with big-data-augmented science, technology and innovation (STI) landscape mapping. On the first step, the results of text-mining analysis present the ontology of currently emerging technologies in global agriculture and food (A&F) sector. On the second step, for these technologies with the usage of text-mining techniques were aggregated: a) future technological markets forecasts, b) parameters of their potential to bring answers to sectoral and national challenges. Based on this big-data-augmented analysis, prospective science and technology development areas for the Russian A&F sector were highlighted. The comparative benefits of the proposed approach for evidence-based STI policy and corporate strategic planning are shortly summed up in terms of its objectivity and comprehensive information sources coverage.