The Impact of Improving Employee Psychological Empowerment and Job Performance Based on Deep Learning and Artificial Intelligence

被引：10

作者：

Fan, Xiaoxue ^{[1
]}

Zhao, Shulang ^{[2
]}

Zhang, Xuan ^{[3
]}

Meng, Lingchai ^{[4
]}

机构：

[1] Semyung Univ, Jecheon Si, South Korea

[2] Beijing Univ Technol, Beijing, Peoples R China

[3] Monroe Coll, Bronx, NY USA

[4] Qingdao Hengxing Univ Sci & Technol, Qingdao, Peoples R China

来源：

JOURNAL OF ORGANIZATIONAL AND END USER COMPUTING | 2023年 / 35卷 / 03期

关键词：

Artificial Intelligence; Back Propagation Neural Network; Deep Learning; Psychological Empowerment; Work Performance;

D O I：

10.4018/JOEUC.321639

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

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页数：14

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