METHODOLOGY FOR ASSESSING PERSONAL POTENTIAL IN AGRICULTURE

Issue № 7, 2017, article № 8, pages 47-53

Section: Staffing

Language: Russian

Original language title: МЕТОДИКА ОЦЕНКИ КАДРОВОГО ПОТЕНЦИАЛА В СЕЛЬСКОМ ХОЗЯЙСТВЕ

Keywords: PERSONAL POTENTIAL, ASSESSMENT METHODOLOGY, AGRICULTURE, MATHEMATICAL MODELS, FORECASTING

Abstract: The article substantiates the need to assess the personal potential in agriculture on the basis of data unified for the country as a whole, since it is impossible to take into account the private indicators of specific organizations at the macro level. Similar monitoring studies in the country have already been carried out, but they concerned only staffing of agricultural organizations of the Russian Federation, and not the industry as a whole. To this end, a methodology was developed to assess the personal potential in agriculture, which includes: a methodology for determining the levels of personal potential of managers and specialists, workers in agricultural organizations, the calculation of the integrated indicator of the level of personal potential, as well as the methodology for determining the pace of reproduction of personal potential in agriculture. Based on the results of the latter, the correlation matrix of a multifactor model is calculated and mathematical models are constructed for the three indicators that have the greatest impact on the rates of reproduction of personal potential in the industry, namely: the index of the balanced financial result of agricultural organizations, the labor productivity index, the index of physical volume of investment in fixed assets. Thus, the proposed methodology for assessing the personal potential in agriculture, allows you to objectively evaluate it, and the construction of mathematical models - to predict the pace of reproduction. Together they help to obtain an objective, mathematically calculated result and represent one of the bases for legislative and executive authorities in the development of socio-economic projects and programs related to agriculture.

Authors: Ivanova Tatiana Valerevna, Orlov Viktor Nikolaevich, Sokolova Galina Valerevna