Predictive analysis of the psychological state of charismatic leaders on employees' work attitudes based on artificial intelligence affective computing

被引:0
|
作者
Liu, Yi [1 ,2 ]
Song, Jaehoon [3 ]
机构
[1] Jeonju Univ, Dept Business Adm, Jeonju, South Korea
[2] Hebei Univ Econ & Business, Sch Business Adm, Shijiazhuang, Hebei, Peoples R China
[3] Woosuk Univ, Dept Business Adm, Wanju Gun, Jeonrabug Do, South Korea
来源
FRONTIERS IN PSYCHOLOGY | 2022年 / 13卷
关键词
mental state predictive analysis; staff work attitude; charismatic leadership; artificial intelligence affective computing; charismatic leaders; voice recognition technology; SPEECH EMOTION RECOGNITION; NEURAL-NETWORKS;
D O I
10.3389/fpsyg.2022.965658
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
With the progress of social production, the competition for talents among enterprises is fierce, and the market often lacks capable leaders, which leads to the lack of management of enterprise employees and cannot bring more economic benefits to enterprises. Traditional leaders make subordinate employees work actively and achieve the common goal of the enterprise by exerting their own leadership characteristics and observing their subordinates, but they cannot take care of the psychological state of each employee, resulting in the employee's work efficiency is not very high. In recent years, charismatic leadership has become an important economic leader in the new era, and the theoretical spirit of charismatic leadership can well guide employees to work actively. Artificial intelligence affective computing can well identify the psychological state of the subject, and the combination of artificial intelligence affective computing and charismatic leadership can achieve effective management of employees through the predictive analysis of employees' psychological state. This paper compares the psychological state prediction analysis of employees' work attitudes between charismatic leaders based on artificial intelligence affective computing and traditional leaders through experiments. The results show that: charismatic leaders based on artificial intelligence affective computing predictive analytics can improve sensitivity to employee needs, resulting in an 8.2% increase in employee trust in leadership, a 4.4% increase in employee commitment to achieving organizational goals, and a 19.3% increase in employee job satisfaction. The psychological state prediction analysis of charismatic leaders based on artificial intelligence affective computing on employees' work attitudes can improve the work efficiency of employees and the economic benefits of enterprises.
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页数:15
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