Adaptive Ability Assessment Model for New Business Mode of Power Grid Enterprises in Electricity Retail Sector
- DOI
- 10.2991/mmssa-18.2019.21How to use a DOI?
- Keywords
- power grid enterprises; new business mode in electricity retail sector; adaptive ability assessment
- Abstract
With the advancement of various reform tasks, from the perspective of business content, service objects, and service channels, traditional power grid enterprises are facing a new business mode in electricity retail sector. Based on enterprises’ core influencing factors analysis of new business mode adaptability, combining special commodity attributes with real-time balance for power generation and supply, an adaptive ability assessment model for new business mode of power grid enterprises in electricity retail sector was constructed, including organizational system, business operations, guarantee support these three primary indicators, which includes 11 secondary indicators, such as adaptability of business strategy and adaptability of management structure. It was found that there were some differences in adaptive ability for different types marketing business of State Grid Corporation of China, and traditional power supply services are generally better, but there is still a big gap compared with advanced external enterprises.
- 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 - Song Xue AU - Xiuqing Cui AU - Wei Li AU - Chenghui Tang AU - Yuan Hu AU - Xiaoxuan Zhang AU - Li Ma PY - 2019/01 DA - 2019/01 TI - Adaptive Ability Assessment Model for New Business Mode of Power Grid Enterprises in Electricity Retail Sector BT - Proceedings of the 2018 International Conference on Mathematics, Modeling, Simulation and Statistics Application (MMSSA 2018) PB - Atlantis Press SP - 90 EP - 93 SN - 1951-6851 UR - https://doi.org/10.2991/mmssa-18.2019.21 DO - 10.2991/mmssa-18.2019.21 ID - Xue2019/01 ER -