Human Resource Management Model of Large Companies Based on Mathematical Statistics Equations-Reference-Cited by-同舟云学术

Human Resource Management Model of Large Companies Based on Mathematical Statistics Equations

Published:2022-07-15 Issue:0 Volume:0 Page:
ISSN:2444-8656
Container-title:Applied Mathematics and Nonlinear Sciences
language:en
Short-container-title:

Author:

Feng Qi¹,Yousif Mohammed²

Affiliation:

1. Panzhihua University , Panzhihua , , China

2. College of Administrative Sciences , Applied Science University , Bahrain

Abstract

Abstract The article applies mathematical statistics to the dynamic analysis of the demand for talents in large companies. Prediction of the overall demand for talents through the use of deep learning models. We use the theory of diminishing marginal utility to solve the degree of enterprise human resource investment under each index. Based on the analysis of traditional human resource management methods, this paper uses the three-dimensional fuzzy model to construct a new three-dimensional fuzzy model of human resource management model. The research found that the algorithm proposed in this paper can improve the quality of data training and improve the matching of people and posts.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Link

https://www.sciendo.com/pdf/10.2478/amns.2022.2.00018

Reference9 articles.

1. Collins, C. J. Expanding the resource based view model of strategic human resource management. The International Journal of Human Resource Management., 2021;32(2): 331–358

2. Alipour, L., Nargesian, A., Budlaei, H., & Mohammadi Moghadam, Y. Presentation of Electronic Human Resource Management Model in Banking Industry. Quarterly Journal of Public Organzations Management., 2020; 8(4): 69–82

3. Banu, S., Kamenou-Aigbekaen, N., & Galloway, L. A relational approach to exploring inequalities within the human resource management model in the Middle East. International Journal of Work Organisation and Emotion., 2019; 10(3): 216–231

4. Rahmanniyay, F., & Yu, A. J. A multi-objective stochastic programming model for project-oriented human-resource management optimization. International Journal of Management Science and Engineering Management., 2019; 14(4): 231–239

5. Gilal, F. G., Ashraf, Z., Gilal, N. G., Gilal, R. G., & Channa, N. A. Promoting environmental performance through green human resource management practices in higher education institutions: A moderated mediation model. Corporate Social Responsibility and Environmental Management., 2019;26(6): 1579–1590