首页|The Use of the Analytic Hierarchy Process in Improving Psychological Empowerment and Employee Performance
The Use of the Analytic Hierarchy Process in Improving Psychological Empowerment and Employee Performance
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NETL
NSTL
Igi Global
The purpose is to further analyze the influence of AI technology on the psychology of employees in the computer industry and truly solve the problems encountered in enterprise management, such as difficult organizational relationship and lack of staff morale. With artificial intelligence algorithm as the research object, AI-based employee psychology and performance analysis model is built based on artificial neural network (ANN) from four aspects of work performance, psychological empowerment, work engagement, and perceived dynamic work environment. MATLAB tool is used, employee psychological empowerment index is taken as an input variable, and employee performance index is taken as output index. The validity of the models proposed in different studies is further verified through different test methods. The results show that artificial intelligence technology can positively affect employees' performance by improving their psychological empowerment, and the improvement of work performance is directly related to psychological empowerment.
Artificial IntelligenceDeep LearningDynamic Work EnvironmentPsychological EmpowermentWork Perception
Jing Xu、Qi Wang、Cisheng Wu、Qianying Gao
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School of Humanity and Law, Hefei University of Technology
School of Management, Hefei University of Technology
NETL
NSTL
Igi Global
