Affiliation:
1. Hebei Women's Vocational College,Shijiazhuang, Hebei, China
Abstract
As a new resource, human resource has attracted wide attention in many social fields. The competition of human resource is the competition of productivity between different enterprises. With the reform and opening up, national economy of China continues to develop rapidly. The sound macro-economy and rapidly development of capital market lead the banking industry to have a good development prospect. Whether the human resource allocation of commercial Banks is effective or not has a great impact on the bank earning. This study aims to further clarify the human resource allocation efficiency of banks to improve the efficiency and realize the improvement of bank profits. In this study, computer software was used to calculate the scale efficiency, pure technical efficiency, the change of scale interval and data envelopment analysis (DEA) efficiency of some selected representative banks according to the DEA model. The analysis showed that the DEA scale of many banks could reach the valid value 1, and the human resource allocation efficiency was optimized. The pure technical efficiency of some banks was valid value 1, but the scale efficiency was low and ineffective, which needed to be enlarged appropriately. And the DEA efficiency of some banks was invalid, which was caused by the valid value 1 of the scale efficiency and relatively low pure technical efficiency, and such banks need to make reasonable allocation of human resources.
Publisher
North Atlantic University Union (NAUN)
Subject
Electrical and Electronic Engineering,Signal Processing
Reference15 articles.
1. A. Wibisono, A. S. Nisafani, H. Bae, et al, “On-the-Fly Performance-Aware Human Resource Allocation in the Business Process Management Systems Environment Using Naïve Bayes,”vol. 219, no. 6, pp. 70-80, 2015.
2. J. Wu, Y. Jiang, and J. Zhu, “Human Resource Allocation Combined with Team Formation,” presented at International Conference on Computational Intelligence and Applications, pp. 67-71, 2016.
3. X. Luo, “Human resource optimization allocation algorithm based on rough entropy,” Boletin Tecnico/tech. Bull., vol. 55, no. 7, pp. 165-171, 2017.
4. S. Bouajaja, and N. Dridi, “A survey on human resource allocation problem and its applications,” Oper. Res., pp. 1-31, 2016.
5. A. Ponsteen, and R. J. Kusters, “Classification of Human- and Automated Resource Allocation Approaches in Multi-Project Management,” Proc. Soc. Behav. Sci., vol. 194, pp. 165-173, 2015.
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