中国智能网联汽车产业人才需求预测研究
DOI:
CSTR:
作者:
作者单位:

清华大学汽车产业与技术战略研究院

作者简介:

通讯作者:

中图分类号:

C

基金项目:

2020智能网联汽车人才需求预测,2020RC14;国家自然科学基金“汽车智能化对安全、节能减排及缓解拥堵影响的系统评估方法”,项目编号U1764265


The Research on Talent Demand Prediction of China's Intelligent Connected Vehicle Industry
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    智能网联汽车(ICV)代表着未来汽车产业的发展方向和汽车出行科技集群的战略制高点,正步入快速发展期,对相关新型人才产生了迫切需求。但ICV产业具有高度的复杂性和不确定性,且缺乏明确边界和历史数据,预测ICV人才需求的难度极大。为科学预测ICV人才需求,本文采用定性与定量研究相结合的方法,确定了ICV产业人才的结构,明确了以研发技术人才为预测对象,构建了分层级多指标的ICV人才需求预测模型,并基于情景分析,得出了未来五年ICV产业人才的需求量,并分析了ICV产业不同类型研发技术人才以及不同业务模块人才的需求差异。

    Abstract:

    The intelligent connected vehicle (ICV) industry, which is entering a period of rapid development, represents the future development direction of the automobile industry and the strategic commanding heights of the automobile travel technology cluster. As ICV industry includes multiple fields and involves many other technologies besides automotive technologies, it is in urgent need of a large number of talents. However, due to complexity and uncertainty of ICV industry and the lack of clear boundaries and historical data of relevant talents, it is of extreme difficulty to predict the demand for ICV talents. In order to predict it accurately, both qualitative and quantitative research methods were used to determine the talent structure. Based on the technologies of ICV, the structure of ICV talents was built up, including leading talents, research and development talents, manufacturing talents, sales service talents and other talents. Research and development talents, which is divided into vehicle architecture engineers, system/module architecture engineers, software development engineers, hardware development engineers, data and algorithm engineers as well as test and calibration engineers, were chosen to be the quantitative prediction objects. A hierarchical model with 3 first-grade indexes and 14 second-grade indexes was established to quantitatively predict the talent demand of ICV industry. Besides, a scenario analysis assuming that ICV industry would develop in optimistic, normal or pessimistic scenario was carried out on the development level of ICV industry to give a prediction on the talent demand of ICV industry in the next five years. And the differences of each type of research and development talents of ICV industry and talent demand of different business sectors were analyzed.

    参考文献
    相似文献
    引证文献
引用本文

刘宗巍,宋昊坤,郝瀚,赵福全.中国智能网联汽车产业人才需求预测研究[J].,2022,(5).

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2021-09-02
  • 最后修改日期:2021-10-02
  • 录用日期:2021-10-21
  • 在线发布日期: 2022-06-17
  • 出版日期:
文章二维码

联系电话:020-37635126(一、三、五)/83568469(二、四)(查稿)、37674300/82648174(编校)、37635521/82640284(财务)、83549092(传真)

联系地址:广东省广州市先烈中路100号大院60栋3楼302室(510070) 广东省广州市越秀区东风西路207-213星河亚洲金融中心A座8楼(510033)

邮箱:kjgl83568469@126.com kjgl@chinajournal.net.cn

科技管理研究 ® 2025 版权所有
技术支持:北京勤云科技发展有限公司
关闭
关闭