摘要
智能时代下,人工智能、大数据重构经管领域岗位结构,催生“数据素养+人机协作”的复合能力需求。基于多元协同视角,将经管类学生就业观划分为传统型、技术型、创新型三类,通过问卷调查与访谈,分析个体特征与外部环境对分层的影响,进而构建“政府政策分层供给—高校培养协同—企业需求对接—社会资源补充”的就业引导机制,为提升经管类学生就业质量提供实践路径。
In the intelligent era,artificial intelligence and big data are reshaping the job structure in the field of economics and management,giving rise to the demand for composite capabilities featuring"data literacy+human-machine collaboration".From the perspective of multi-dimensional collaboration,this study classifies the employment outlooks of economics and management students into three types:traditional,technical,and innovative.Through questionnaire surveys and interviews,it analyzes the impact of individual characteristics and external environment on this classification,and further constructs a guidance mechanism of"hierarchical supply of government policies-collaborative cultivation by universities-docking with enterprise needs-supplementation of social resources",so as to provide practical paths for improving the employment quality of economics and management students.
作者
曲径
阿茹娜
李婉婷
Qu Jing;Aruna;Li Wanting(Northeast Petroleum University,Daqing 161138,China)
出处
《对外经贸》
2025年第10期141-144,155,共5页
FOREIGN ECONOMIC RELATIONS & TRADE
基金
2024年黑龙江省教育科学规划重点课题“心理契约视角下黑龙江省高水平大学学生非理性就业观成因及对策研究”(项目编号:GJE1424007)。
关键词
智能时代
经管类学生
就业观
分层引导
多元协同
Intelligent Era
Economics and Management Students
Employment Outlook
Stratified Guidance
Multi-Collaboration
