The Management of the Corporate Training Efficiency based on the Monitoring of Performance Indicators in the face of new industrialization 4.0
- DOI
- 10.2991/sicni-18.2019.68How to use a DOI?
- Keywords
- corporate training, training efficiency management, staff development.
- Abstract
The article examines a method for managing the corporate training efficiency based on the monitoring and analysis of key performance indicators of the training specialists in the face of new industrialization. There is a practice-oriented example of setting the key performance indicators of the training specialists, such as the successful passing of the final examination, maintaining of the group stability and quality of the knowledge gained. The calculation method and target values are described in details. A demonstration calculation of indicators was carried out on the basis of the training results of a group of employees. The role of the corporate training system in preparing specialists for a modern organization in conditions new industrialization 4.0 is described. The additional positive functions, that can be implemented by means of the corporate in-house training, are identified on the basis of analysis of the Russian and foreign studies. The logic of the annual assessing the work results of the training specialists (coaches) is described.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Svetlana Dolzhenko AU - Konstantin Ilyushnikov PY - 2019/01 DA - 2019/01 TI - The Management of the Corporate Training Efficiency based on the Monitoring of Performance Indicators in the face of new industrialization 4.0 BT - Proceedings of the 2nd International Scientific conference on New Industrialization: Global, national, regional dimension (SICNI 2018) PB - Atlantis Press SP - 336 EP - 338 SN - 2352-5398 UR - https://doi.org/10.2991/sicni-18.2019.68 DO - 10.2991/sicni-18.2019.68 ID - Dolzhenko2019/01 ER -