Proceedings of the 2016 International Conference on Education, Management and Computer Science

Study on the Forging of Enterprise Learning Ability Based on the Learning Cycle Theory

Authors
Bingfeng Liu
Corresponding Author
Bingfeng Liu
Available Online May 2016.
DOI
https://doi.org/10.2991/icemc-16.2016.127How to use a DOI?
Keywords
Enterprise reform; Learning ability; Core advantage; Learning cycle theory; Ability forging
Abstract
The basis of learning ability is the ability to extract. Is able to organize the individual good experience, a good way to sum up, and on this basis to find the law in order to guide the organization of the future work, this action is forging. But most enterprises have not formed the system of learning ability forging method. The learning ability of enterprises is the driving force and necessary condition for the enterprise to gain the competitive advantage. This paper discusses the enterprise learning ability concept and the correlation dimension, and comments on the learning ability forging of the related theoretical models and focuses on the study of enterprise learning ability forging way, in order to enterprise management research to provide reference. In order to continuously improve the learning ability of the enterprise, it is necessary to create a good environment and conditions, to create a learning oriented enterprises, enhance the competitiveness of enterprises and sustainable development.
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Proceedings
2016 International Conference on Education, Management and Computer Science
Part of series
Advances in Intelligent Systems Research
Publication Date
May 2016
ISBN
978-94-6252-202-2
ISSN
1951-6851
DOI
https://doi.org/10.2991/icemc-16.2016.127How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Bingfeng Liu
PY  - 2016/05
DA  - 2016/05
TI  - Study on the Forging of Enterprise Learning Ability Based on the Learning Cycle Theory
BT  - 2016 International Conference on Education, Management and Computer Science
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icemc-16.2016.127
DO  - https://doi.org/10.2991/icemc-16.2016.127
ID  - Liu2016/05
ER  -