| 其他摘要 | With the current rapid development of artificial intelligence and other new technologies, technology change more and more quickly. How to enhance the subjective sense of well-being of the police in the wave of technology, to ensure the cohesion, centripetal force, fighting force of the police team is a topic worthy of study. Since 1995, the National Conference on Politics and Law put forward the policy of treating the police favorably, the field of psychology has been increasing the research on the subjective well-being of the public security police, and the existing studies have shown that general self-efficacy and professional identity have an important impact on the subjective well-being. Therefore, on this basis, through a questionnaire survey of 1,597 police officers in southwest z city, this paper analyzes the aspects of work affected by the use of artificial intelligence. Then, this study introduces the variable of the influence of artificial intelligence on work to explore the relationship between subjective well-being and general self-efficacy, occupational identity, and the influence of artificial intelligence on work of this special group of public security police under the new situation, so as to provide theoretical support for the further enhancement of subjective well-being of the police.
In this study, the subjective well-being of police officers was used as the dependent variable, general self-efficacy as the independent variable, police occupational identity as the mediator variable, and the influence of artificial intelligence on work as the moderating variable. The general self-efficacy scale, the index of well-being scale, and the scale of police occupational identity, a total of three scales, as well as two questionnaires of the influence of artificial intelligence on work and seven questionnaires of demographic variables were used to assess the subjective well-being of 1,387 public security police officers from the southwestern Z city. A questionnaire survey was conducted on 1,398 in-service police officers in the city to obtain a large amount of real and effective first-hand data, and the following conclusions were drawn from the research and analysis:
First, the general self-efficacy of police officers in Z city in the southwest is at a medium level, with significant differences in the three demographic variables of gender, children amount, and residence status. It is at a medium level of subjective well-being, with significant differences in police department, marital status, child birth, and residence status. The level of occupational identity of the police officers is generally high, and the influence of artificial intelligence on work is at a medium level in terms of the demographic variables. The differences are not significant, and they are all at a medium level.
Second, the general self-efficacy, subjective well-being, police occupational identity, and the influence of artificial intelligence on work of public security police officers in Southwest China's Z city were significantly correlated.
Third, the direct effect of general self-efficacy on subjective well-being was significant for police officers in Southwest Z city, and the indirect effect of general self-efficacy on subjective well-being was significant through police occupational identity.
Fourth, the degree of AI influence on work was not significant in moderating the path of police occupational identity on subjective well-being.
In summary, the direct effect of general self-efficacy on subjective well-being was significant, and the mediating effect through police occupational identity was significant. However, the moderation of the influence of artificial intelligence on work was not significant in the path of police occupational identity on |
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