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Author:

Fan, Xiaoxue (Fan, Xiaoxue.) | Zhao, Shulang (Zhao, Shulang.) | Zhang, Xuan (Zhang, Xuan.) | Meng, Lingchai (Meng, Lingchai.)

Indexed by:

SSCI SCIE

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.

Keyword:

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

Author Community:

  • [ 1 ] [Fan, Xiaoxue]Semyung Univ, Jecheon Si, South Korea
  • [ 2 ] [Zhao, Shulang]Beijing Univ Technol, Beijing, Peoples R China
  • [ 3 ] [Zhang, Xuan]Monroe Coll, Bronx, NY USA
  • [ 4 ] [Meng, Lingchai]Qingdao Hengxing Univ Sci & Technol, Qingdao, Peoples R China

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Source :

JOURNAL OF ORGANIZATIONAL AND END USER COMPUTING

ISSN: 1546-2234

Year: 2023

Issue: 3

Volume: 35

6 . 5 0 0

JCR@2022

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:19

Cited Count:

WoS CC Cited Count: 6

SCOPUS Cited Count: 13

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 11

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