东北大学学报(自然科学版) ›› 2012, Vol. 33 ›› Issue (8): 1202-1205.DOI: -

• 论著 • 上一篇    下一篇

知识视角下人才引进的多目标模型及分析

孙薇;马钦海;于洋;   

  1. 东北大学工商管理学院;东北大学信息科学与工程学院;
  • 收稿日期:2013-06-19 修回日期:2013-06-19 发布日期:2013-04-04
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    辽宁省博士启动基金资助项目(20101039);;

Multi-objective model for talent recruiting and its theoretical analysis from knowledge perspective

Sun, Wei (1); Ma, Qin-Hai (1); Yu, Yang (2)   

  1. (1) School of Business Administration, Northeastern University, Shenyang 110819, China; (2) School of Information Science and Engineering, Northeastern University, Shenyang 110819, China
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Yu, Y.
  • About author:-
  • Supported by:
    -

摘要: 针对目前人才引进的定量研究不足的问题,提出了基于知识定量表示的人才引进多目标模型.首先构建知识超网络,确定组织需要的知识,并给出人员知识的表示形式.利用相似度算法,计算组织需要的知识和人员所拥有的知识的相似度.以相似度值为输入条件,建立整体选择人员的多目标模型,该模型既考虑了组织的知识需求,又考虑了人才引进后,组织成员之间的知识交流效果.为了给引进人才排序,提出了分步引进人才的多目标模型.对模型的计算复杂度进行了理论分析,并通过实例验证了模型的有效性.

关键词: 知识超网络, 人才引进, 知识相似度, 多目标优化

Abstract: Being considered the shortage of quantitative investigation on talent recruiting, a multi-objective model with quantitative description of knowledge was proposed. First, a knowledge supernetwork was set up, based on which the knowledge needed by an organization was determined and the knowledge held by persons was described in terms of knowledge elements. The similarities between the knowledge needed by the organization and that held by the persons were calculated. A multi-objective model for one-step selection of talents was developed using the similarities as the inputs, being taken into account both the organization's requirement for knowledge and knowledge exchanging among the staff. Also, a multi-objective model for step-by-step selection of talents was given in order to rank the talents. The computation complexity of the two models was analyzed theoretically. An application case was carried out, and the results indicated the effectiveness of the models.

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