
Mathematical modeling of economic factors impact: reproduction of personnel potential in agriculture sector of Russia
Author(s) -
В. Н. Орлов,
Tatiana Ivanova,
S Brenchagova,
N. Rumbayeva
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/433/1/012012
Subject(s) - reproduction , agriculture , mathematical model , quality (philosophy) , index (typography) , operations research , computer science , risk analysis (engineering) , business , engineering , mathematics , statistics , ecology , philosophy , epistemology , world wide web , biology
The paper presents an approach which allows obtaining quantitative characteristics and assessing the impact of economic factors on the reproduction rate of personnel potential providing objective forecasting of trends and problems in the industry. Based on the PEST analysis and the results of a sociological survey using the index analysis method, the article developed a methodology for calculating the integral indicator of changes in economic conditions in Russian agriculture. By means of mathematical modeling, their influence on the reproduction of personnel potential in the industry is proved. One of the elements of the proof of the obtained results is a multi-factor mathematical model built and tested in real time, which allows obtaining a high-quality predicted result. Based on the forecasts, we can state the need to adjust certain factors that are actively affecting the reproduction of personnel potential in agriculture, which is a mathematical justification for making managerial decisions.