摘要
随着湖南省物流行业的迅速发展,尤其是在电子商务、供应链管理和智能化技术应用的推动下,对高素质物流应用人才的需求日益增长。然而,当前物流应用人才的供应在数量和质量上尚无法完全满足行业需求,导致人才培养与市场需求之间存在显著的差距。文章通过构建科学研究模型,结合湖南省物流行业的政府统计数据和企业年报等数据,运用描述性统计分析、匹配度分析、偏差度计算及因素分析等方法,对物流应用人才的需求与供应进行全面评估。研究结果可以为湖南省物流行业提供科学的人才需求预测和供应评估,帮助各方制定更有效的人才培养和引进策略,提升行业的整体竞争力和可持续发展能力。
With the rapid development of the logistics industry in Hunan Province,especially driven by e-commerce,supply chain management,and intelligent technology applications,the demand for high-quality logistics application talents is increasing day by day.However,the current supply of logistics application talents cannot fully meet the industry's demand in terms of quantity and quality,resulting in a significant gap between talent cultivation and market demand.This article constructs a scientific research model,combined with government statistical data and enterprise annual reports of the logistics industry in Hunan Province,and uses descriptive statistical analysis,matching analysis,deviation calculation,and factor analysis methods to comprehensively evaluate the demand and supply of logistics application talents.The research results can provide scientific talent demand forecasting and supply evaluation for the logistics industry in Hunan Province,helping all parties to formulate more effective talent training and introduction strategies,enhance the overall competitiveness and sustainable development capabilities of the industry.
作者
罗杏玲
LUO Xingling(School of Logistics Management,Hunan Modern Logistics College,Changsha 410131,China)
出处
《物流科技》
2024年第23期48-51,共4页
Logistics Sci Tech
基金
湖南省教育科学“十四五”规划2023年高校就业创业研究专项项目“‘三高四新’战略背景下高职物流管理专业毕业生就业校企对接机制研究”(XJ235381)。
关键词
物流应用人才
需求分析
供应分析
适应性
偏差度
logistics application talents
demand analysis
supply analysis
adaptability
deviation degree
作者简介
罗杏玲(1991-),女,湖南浏阳人,湖南现代物流职业技术学院物流管理学院,副教授,硕士,研究方向:物流与供应链管理。
