Research on the Construction of Competency System of Intelligent Financial Personnel Under Digital Economy
Authors
Yixin Xue1, *, Tong Jia2, Chuan Sun1
1Lanzhou University of Technology, Lanzhou, China
2Lanzhou Vocational and Technical University of Resources and Environment, Lanzhou, China
*Corresponding author.
Email: 260811574@qq.com
Corresponding Author
Yixin Xue
Available Online 28 August 2023.
- DOI
- 10.2991/978-94-6463-222-4_49How to use a DOI?
- Keywords
- Smart Finance; digital economy; Competency model
- Abstract
This paper aims at building an intelligent financial personnel training system that matches the requirements of digital economy and enterprise transformation and upgrading, and uses Delphi method and hierarchical method to build an enterprise intelligent financial personnel competency model, which includes three dimensions and nine elements. The results show that the application ability of automatic tools, intelligent data and intelligent system is an important factor for intelligent financial personnel to be competent for intelligent financial work.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yixin Xue AU - Tong Jia AU - Chuan Sun PY - 2023 DA - 2023/08/28 TI - Research on the Construction of Competency System of Intelligent Financial Personnel Under Digital Economy BT - Proceedings of the 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023) PB - Atlantis Press SP - 459 EP - 465 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-222-4_49 DO - 10.2991/978-94-6463-222-4_49 ID - Xue2023 ER -