Design of Employee Turnover Rate Prediction and Intervention Algorithm Based on Artificial Neural Network Model

Author:

Song Linjia1ORCID

Affiliation:

1. School of Humanities and Tourism, Yibin Vocational and Technical College, China

Publisher

ACM

Reference12 articles.

1. Bradbury E .Employee-Driven CSR Hedges Against 'The Great Resignation'. PR News, vol. 2022, no. 3, pp. 78, 2022.

2. Liu M , Liang B , Yang X .A Risk-averse Employee Scheduling with Uncertainty Demand. IFAC-PapersOnLine, vol. 52, no. 13, pp. 2134-2139, 2019.

3. Lkke A K , Srensen K L .Top Management Turnover and Its Effect on Employee Absenteeism: Understanding the Process of Change. Review of Public Personnel Administration, vol. 41, no. 4, pp. 723-746, 2021.

4. Khan E A , Khan S M H .Factors Affecting Employee Attrition and Predictive Modelling Using IBM HR Data. Journal of Computational and Theoretical Nanoscience, vol. 16, no. 8, pp. 3379-3383, 2019.

5. Т. О. Галайда,Н. Б. Теницька,Н. В. Чорногорська.Managing the Turnover of Personnel of Trading Enterprises in Ukraine with Application of Methods of Stress Management. Modern Economics, vol. 14, no. 1, pp. 53-59, 2019.

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