The Construction and Application of the Financial Early-Warning Model of High-Tech Enterprises
- DOI
- 10.2991/978-94-6463-030-5_14How to use a DOI?
- Keywords
- High-Tech; Early-Warning Model
- Abstract
In recent years, high-tech enterprises have developed rapidly, and their total economic output value has occupied an important proportion in the total output value of China’s national economy. The high-tech enterprises to the contribution of China’s science and technology and economy have the driving force of industrial upgrading, the promoting force of economic development and the leading role of science and technology development. The core employees of high-tech enterprises are one of their core competitive advantage resources. The competition among enterprises is increasingly fierce, and the talent competition between enterprises creates conditions for the loss of core employees. Therefore, the main threat facing the human resource management of high-tech enterprises is the loss of core employees, which restricts the survival and development of high-tech enterprises. According to the recent loss of employees, taking high-tech enterprises as the research object, this paper analyzes the loss of employees, and puts forward their own solutions for the relevant situation, aiming to reduce the loss of employees and establish a perfect early warning model.
- 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 - Ying Huang PY - 2022 DA - 2022/12/20 TI - The Construction and Application of the Financial Early-Warning Model of High-Tech Enterprises BT - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022) PB - Atlantis Press SP - 126 EP - 132 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-030-5_14 DO - 10.2991/978-94-6463-030-5_14 ID - Huang2022 ER -