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

被引：5
|
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.
引用
收藏
页数：14
相关论文
共 50 条
  • [31] Impact-Echo for Crack Detection in Concrete with Artificial Intelligence based on Supervised Deep Learning
    Pandum, J.
    Hashimoto, K.
    Sugiyama, T.
    Yodsudjai, W.
    e-Journal of Nondestructive Testing, 2024, 29 (06):
  • [32] Impact of deep learning artificial intelligence approaches on amyloid PET diagnosis
    Schuerer, M.
    Chen, K. T.
    Jochimsen, T.
    Rullmann, M.
    Patt, M.
    Tiepolt, S.
    Schroeter, M.
    Weise, C.
    Saur, D.
    Zaharchuk, G.
    Sabri, O.
    Barthel, H.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2019, 46 (SUPPL 1) : S20 - S21
  • [33] Artificial Intelligence, Machine Learning and Deep Learning
    Ongsulee, Pariwat
    2017 15TH INTERNATIONAL CONFERENCE ON ICT AND KNOWLEDGE ENGINEERING (ICT&KE), 2017, : 92 - 97
  • [34] Impact of Artificial Intelligence to Automate Management of Employee Benefits
    Tiwari, Shiv Kant
    Tiwari, Prashant
    Anand, Neerja
    PACIFIC BUSINESS REVIEW INTERNATIONAL, 2023, 16 (02): : 25 - 33
  • [35] Empowering leadership and job performance: mediating role of psychological empowerment
    Kundu, Subhash C.
    Kumar, Sandeep
    Gahlawat, Neha
    MANAGEMENT RESEARCH REVIEW, 2019, 42 (05): : 605 - 624
  • [36] The impact of emotional intelligence and servant leadership on employee job satisfaction
    Jha, Pallavi
    Bhattacharya, Sanjay
    INTERNATIONAL JOURNAL OF INNOVATION SCIENCE, 2021, 13 (02) : 205 - 217
  • [37] Artificial Intelligence and Deep Learning-Based Information Retrieval Framework for Assessing Student Performance
    Gupta, S. L.
    Mishra, Niraj
    INTERNATIONAL JOURNAL OF INFORMATION RETRIEVAL RESEARCH, 2022, 12 (01)
  • [38] DIAGNOSIS AND TREATMENT SYSTEM BASED ON ARTIFICIAL INTELLIGENCE AND DEEP LEARNING
    Zheng, Xiaoxi
    Fan, Qili
    Wang, Geng
    SCALABLE COMPUTING-PRACTICE AND EXPERIENCE, 2024, 25 (05): : 4360 - 4367
  • [39] Action Recognition Based on Deep Learning and Artificial Intelligence Planning
    Zheng X.-H.
    Sun X.-Q.
    Lu J.-X.
    Xian Z.-Z.
    Li L.
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2019, 47 (08): : 1661 - 1668
  • [40] Relation of employee and manager emotional intelligence to job satisfaction and performance
    Sy, Thomas
    Tram, Susanna
    O'Hara, Linda A.
    JOURNAL OF VOCATIONAL BEHAVIOR, 2006, 68 (03) : 461 - 473
12345