SHS Web Conf.
Volume 101, 2021SAHD 2021 - 5th International Scientific and Practical Conference 2021 “Modern Science: Problems and Development Prospects (Social and Humanitarian Directions)”
|Number of page(s)||8|
|Section||Economics and Management|
|Published online||26 April 2021|
Development of the personnel controlling model of oil organizations
State Petroleum Technical University, Kosmonavtov str., 1, 450062 Ufa, Russia
The purpose of the work is to develop proposals aimed at improving the personnel controlling model of oil organizations as a tool for managing the processes of personnel turnover. The experience of applying the system of personnel controlling in foreign countries has proven to be an effective system, providing the management with the relevant information base for timely tracking of changes in the indicators of personnel management and productivity indicators. There is theoretically confirmed interrelation between personnel turnover indicators and labor productivity that predetermines the necessity of monitoring of the given indicator in the system of personnel controlling. Meanwhile, the turnover rate itself is influenced by different internal and external factors. The suggested directions of improving the personnel controlling model consist in inclusion of the additional module, which provides the analysis of the statistical reporting; suggested system of the quantitative evaluation of the production personnel quality indicators; analytical procedure of revealing the reasons of the key personnel turnover by means of introduction of the block structure of the turnover factors evaluation of this personnel category, revealed by method of expert evaluation of the oil organization workers, which allows ranking those factors and timely develop the means of its solution. Theoretical and methodological basis of the research are the actual concepts of personnel management and personnel controlling systems study and development. Methods of expert evaluation, mathematical and statistical methods, correlation and regression analysis were used to carry out the task of estimation of the proposed recommendations.
© The Authors, published by EDP Sciences, 2021
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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