Research on the Guidance of Sports System Based on the Big Data Technology
- DOI
- 10.2991/meita-16.2017.26How to use a DOI?
- Keywords
- Guidance and training mechanism, Social sports, National fitness, Running and service system
- Abstract
The study analyzed the nature and features of China civilian physique policies implementation, and held that implementation of sport-for-all policy is a dynamic process converting the policy objective into reality, which includes a series of activities and behaviors pushing forward the implementation of policy. The implementation of sport-for-all policy in China is characterized not only by the general features in public policy implementation, but also by the specific ones in itself, and this determines the complexity of implementation process of sport-for-all policy and the enormous difficulty of implementation behaviors. The study put forward that the effective implementation of sport-for-all policy is influenced by the policy itself, the resources, the implementing parties, the targeted group, and the policy environment as well. Secondly, from the perspectives of behavior analysis and organization analysis, by scrutinizing the behavior features and the organization effectiveness of 3 stages of implementing scheme planning, resource preparing and deploying, and execution methods selecting the study explored the implementing results and brought out improving suggestions.
- Copyright
- © 2017, 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 - Wei Liu PY - 2017/02 DA - 2017/02 TI - Research on the Guidance of Sports System Based on the Big Data Technology BT - Proceedings of the 2016 2nd International Conference on Materials Engineering and Information Technology Applications (MEITA 2016) PB - Atlantis Press SP - 113 EP - 117 SN - 2352-5401 UR - https://doi.org/10.2991/meita-16.2017.26 DO - 10.2991/meita-16.2017.26 ID - Liu2017/02 ER -