| Issue |
E3S Web of Conf.
Volume 222, 2020
International 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)
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|
|---|---|---|
| Article Number | 06018 | |
| Number of page(s) | 7 | |
| Section | Food Security. Economics and Legal Regulation in the Agro-industrial Complex | |
| DOI | https://doi.org/10.1051/e3sconf/202022206018 | |
| Published online | 22 December 2020 | |
A method of expert evaluation and selection of innovative projects in the agri-business
Russian Research Institute of Information and Feasibility Study on Engineering Support of Agribusiness, Federal State Budgetary Scientific Institution (Rosinformagrotekh FSBSI), Department for information an analytical support of the agribusiness economic development, Pravdinsky Township, Moscow Region, 141261, Russian Federation
* Corresponding author: 9419428@mail.ru
A component of innovation activities is the selection of innovation projects and the innovation assessment system underlying it. The problem of taking into account the features associated with the heterogeneity of innovative projects in agriculture, complexity of measurement of quality indicators and taking into account effects from social and environmental goals has not been methodically solved yet. It has led to the need to find an affordable method for the assessment of innovative projects that would be able to consider these problems. The method developed will allow selecting an innovative project from the non-homogeneous group. At the same time, various differences associated with the areas of projects, regional characteristics, scales, ultimate effects, and other parameters are levelled out. The method is a flexible tool that allows you to take into account a different number of criteria and set individual weighting depending on the tasks being solved.
© 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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