Research on job burnout evaluation and turnover tendency prediction of knowledge workers based on BP neural network

• Main Authors: Jiang, Mengmeng, Jakaria Dasan, Li, Xiaoxiao
• Format: Article
• Language: English; English
• Published: Hindawi 2022
• Subjects: HF5548.7-5548.85 Industrial psychology
• Online Access: https://eprints.ums.edu.my/id/eprint/33609/2/Research%20on%20job%20burnout%20evaluation%20and%20turnover%20tendency%20prediction%20of%20knowledge%20workers%20based%20on%20BP%20neural%20network.pdf; https://eprints.ums.edu.my/id/eprint/33609/3/Research%20on%20job%20burnout%20evaluation%20and%20turnover%20tendency%20prediction%20of%20knowledge%20workers%20based%20on%20BP%20neural%20network.pdf; https://eprints.ums.edu.my/id/eprint/33609/; https://www.hindawi.com/journals/scn/2022/6370886/; https://doi.org/10.1155/2022/6370886

The traditional dimission prediction method for knowledge workers does not take into account the impact of job burnout on employees’ dimission tendency, resulting in low accuracy of dimission prediction. In view of the above problems, this paper introduces the employee burnout evaluation and researc...