Leadership Research Summary:
- 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 study 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.
Leadership Research Implications and Findings:
- Traditional leaders cannot accurately predict and analyze the psychological prediction of their employees, which leads to a series of problems of low work efficiency of employees such as low enthusiasm for work and insufficient trust in leaders, which leads to low economic benefits for enterprises. Charismatic leaders can use artificial intelligence affective computing technology to predict and analyze the psychological state of employees’ work attitudes and improve the economic benefits of enterprises.
- Through the comparative analysis of 4 aspects of the psychological state of employees’ work attitudes between charismatic leaders and traditional leaders based on artificial intelligence affective computing, the experiment shows that: (1) charismatic leaders and traditional leaders based on artificial intelligence affective computing The average job satisfaction is: 74.6 and 55.3%, respectively; the sense of mission of employees under charismatic and traditional leadership to achieve organizational goals is: 73.3 and 59.4%, respectively. (2) Charismatic leaders can use artificial intelligence emotional computing to analyze the psychological state of employees’ work attitudes, which can make leaders more sensitive to employees’ needs, and make employees trust leaders 15.2% more than traditional leaders. The psychological state prediction analysis of charismatic leaders and traditional leaders based on artificial intelligence affective computing on employees’ work attitudes can make subordinate employees trust leaders more, improve work efficiency, and increase group performance. However, at present, the accuracy of artificial intelligence emotional computing’s prediction of the psychological state of employees’ work attitudes cannot reach a very accurate level. Therefore, improving the accuracy of psychological state prediction of employees’ work attitude will be the direction of future research.