E3S Web Conf.
Volume 175, 2020XIII International Scientific and Practical Conference “State and Prospects for the Development of Agribusiness – INTERAGROMASH 2020”
|Number of page(s)||7|
|Section||Training Personnel for The Agricultural Sector|
|Published online||29 June 2020|
Assessment of personnel motivation as an effective tool for ensuring the success of food industry enterprises
Don State Technical University, 1, pl. Gagarina, 344002, Rostov-on-Don, Russia
2 Polytechnic Institute (branch) of the Don State Technical University in Taganrog, 109a, Petrovskaya str., 347904, Taganrog, Russia
3 All-Russian state University of justice (RPA of the Ministry of justice of Russia), 50, str. 14-line, 344019, Rostov-on-Don, Russia
* Corresponding author: email@example.com
The article touches upon the issues related to the study of assessing the personnel motivation in the food industry approach. We describe an approach to assess the level of the working group motivation, which allows us to determine the level of sufficient motivation of personnel and assess its impact on the organization success. The algorithm, methodology and results of the research on the practical study of criteria for qualitative and quantitative evaluation of the subsystems effectiveness of motivation control, material incentives for employees, the process of personnel regulation, management of the reserve for promotion, the subsystem of personnel evaluation and its development arepresented.
© 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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.