Exploration and Empirical Test of the Mechanism of Human-machine Collaboration Impact on Employment Quality
The human-machine collaboration mode is a new working mode that combines human intelli-gence and artificial intelligence.It is an effective integration of technological progress and human cap-ital,and has a profound impact on labor employment.This study,focusing on workers'subjective eval-uation of employment quality,taking 271 employees who have implemented artificial intelligence tech-nology or equipment as samples,using human-machine collaboration degree as independent variable,builds a regulated chain intermediary model,and examines workers'emotional experience and cognitive attitude towards artificial intelligence application from a micro level.It is found that the degree of hu-man-machine collaboration helps to improve worker job satisfaction,which is mainly achieved through the indirect effect of self-efficacy and career adaptability,and work autonomy significantly moderates the above pathways.This indicates that in intelligent work environment,factors with different attrib-utes have different impact mechanisms and transmission pathways for workers'subjective evaluation of employment quality,and that work autonomy,as a work characteristic,has a variable impact on it.Therefore,by improving the legal system to introduce relevant policies to standardize the employment structure,weaving dense social security networks to secure the bottom line of people's livelihood,and increasing publicity and popularization to guide workers to establish correct cognition,we can form a harmonious and complementary human-machine relationship,prevent and resolve potential unemploy-ment risks,improve workers'sense of gain and satisfaction,and achieve a benign coupling between the progress of artificial intelligence technology and the scale and structure of employment.
国家科技期刊平台
NSTL
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