The Impact of Improving Employee Psychological Empowerment and Job Performance Based on Deep Learning and Artificial Intelligence
Author:
Affiliation:
1. Semyung University, South Korea
2. Beijing University of Technology, China
3. Monroe College, USA
4. Qingdao Hengxing University of Science and Technology, China
Abstract
In order to improve the management mode of the human resources system and enhance the work efficiency of employees, this paper uses artificial intelligence (AI) technology to enhance the psychological empowerment of employees. It affects employees' work performance from a psychological perspective with the help of psychological empowerment. The questionnaire survey method collects data on the influencing factors of employees' psychological empowerment. The statistical data are analyzed by regression. Back propagation neural network (BPNN) algorithm based on deep learning is used to establish the work condition evaluation model. The job satisfaction, pressure, and performance of employees based on psychological empowerment are analyzed.
Publisher
IGI Global
Subject
Strategy and Management,Computer Science Applications,Human-Computer Interaction
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