E3S Web of Conf.
Volume 222, 2020International Scientific and Practical Conference “Development of the Agro-lndustrial Complex in the Context of Robotization and Digitalization of Production in Russia and Abroad” (DAIC 2020)
|Number of page(s)||8|
|Section||Creation and use of Modern Digital, Intelligent, Robotic Systems and Technologies, New Materials and Methods of Construction, Big Data Processing and the Internet of Things in the Agro-Industrial Complex|
|Published online||22 December 2020|
Development of methodologies of innovation management for digital agricultural enterprises
1 PhD student, Innovation management programme, Higher School of Economics (National Research University), Moscow, Russia
2 Professor, Moscow State University of Civil Engineering (National Research University), Moscow, Russia
3 Assistant professor, Moscow Polytechnic University, Moscow, Russia
* Corresponding author: firstname.lastname@example.org
Digital transformation is gaining its momentum in all industries. On the one hand, agriculture is usually considered as an outsider industry in terms of digitalization. On the other hand, during the last decade several countries have managed to improve the quality of agricultural industry and solve many of its problems with the use of modern information and digital technologies. In Russian Federation the Ministry of Agriculture announced the national project “Digital agriculture”, however the Projects is hard to release due to the lack of employees with decent soft and digital skills which are essential to the process of digital transformation. There are several models and frameworks of digital competences management, but none of them considers the specifics of agricultural sector. Thus, authors in this pre-research article justify the necessity to develop adaptable methodology for innovation management via various types competencies (hard, soft, digital ones) based on preliminary investigation of problem and solutions used in other countries.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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