基于中国的招聘广告,分析大数据人才的劳动力市场和工资决定因素
Yingjie Lu1, Hong Tuo1, Haoyi Fan1
1School of Economics and Management, Beijing University of Chemical Technology, Beijing, China.
PloS one
|February 4, 2025
概括
大数据行业需要更多的人才,但雇主在不同城市和行业寻求特定技能. 个人,工作和公司因素影响大数据工资.
科学领域:
- 数据科学数据科学数据科学
- 劳动经济学 劳动经济学
- 人力资源管理 人力资源管理
背景情况:
- 大数据行业正在迅速扩张,导致对专业人才的需求日益增加.
- 关于雇主对大数据专业人员的要求的研究有限.
- 了解劳动力市场动态对于解决人才缺口至关重要.
研究的目的:
- 将劳动力市场细分理论应用于大数据劳动力市场.
- 开发一个理论框架来分析大数据人才分布.
- 为大数据行业的工资差异创建工资确定模型.
主要方法:
- 从中国招聘平台对在线招聘广告的实证分析.
- 劳动力市场细分理论的应用.
- 开发一个工资确定模型.
主要成果:
- 在不同中国城市和行业中,大数据人才需求存在显著差异.
- 企业类型会影响对个人特征和职位水平的要求.
- 个人,工作相关和组织特征是大数据工资的重要预测因素.
结论:
- 大数据劳动力市场表现出明显的细分.
- 针对不同的市场细分市场,需要定制的招聘和薪酬策略.
- 对大数据行业的组织和管理人员来说,洞察力是有价值的.
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