人工智能时代提升管理类研究生职业成熟度的路径研究——基于招生-培养-就业的组态分析

Against the backdrop of the rapid development of artificial intelligence technology, improving the professional maturity of management graduate students is crucial for them to adapt to industry needs and achieve high-quality employment. Based on the enrollment-training-employment framework, this study combined a questionnaire survey with fuzzy set qualitative comparative analysis and administered it to graduating management graduate students, so as to examine the configurational effects of high professional maturity, selecting AI-driven academic background matching, AI-supported career orientation, AI-optimized personalized courses, AI-enhanced professional training, AI-assisted job search guidance, and AI-based market demand feedback as conditional variables. The research results reveal three configuration paths of high professional maturity, including “academic collaboration”, “practice matching” and “employment-oriented”. The research results also provide a theoretical basis and practical path for colleges and universities to build precise enrollment, personalized training and efficient employment support in the era of artificial intelligence, provide a new perspective on the enrollment-training-employment linkage system, and offer an important reference for promoting high-quality talent training and the realization of full employment.