运筹与管理 ›› 2021, Vol. 30 ›› Issue (5): 208-213.DOI: 10.12005/orms.2021.0167

• 管理科学 • 上一篇    下一篇

权重可变条件下员工绩效排名稳健性的Hasse图分析

高雅1, 岳立柱1,2, 周志强1   

  1. 1.辽宁工程技术大学 工商管理学院,辽宁 葫芦岛 125105;
    2.辽宁工程技术大学 管理科学与工程研究院,辽宁 葫芦岛 125105
  • 收稿日期:2019-11-28 出版日期:2021-05-25
  • 作者简介:高雅(1994-),女,辽宁省鞍山人,硕士研究生,研究方向:组织行为学;岳立柱(1976-),男,黑龙江省大庆人,副教授,博士,研究方向:决策理论与方法。
  • 基金资助:
    辽宁省教育厅基金资助项目(LJ2020JCL028);辽宁工程技术大学学科创新团队资助项目(LNTU20TD-31)

Hasse Graph Analysis of Employee Performance Ranking Robustness under Variable Weight Condition

GAO Ya1, YUE Li-zhu1,2, ZHOU Zhi-qiang1   

  1. 1. School of Business Administration, Liaoning Technical University, Huludao 125105, China;
    2. Institute of Management Science and Engineering,Liaoning Technical University, Huludao 125105, China
  • Received:2019-11-28 Online:2021-05-25

摘要: 绩效排名是绩效考核过程中关注度最高的环节,也是引发争议的“活火山”。因此,识别排名争议和控制排名风险是提升组织公平感和员工满意度的必要手段。以权重不确定性为切入点,应用偏序集理论重构绩效评价模型,获得员工绩效排名Hasse图,直观展示员工分层聚类及不稳健排序;并讨论Hasse图分层方法与性质。实例分析表明,利用偏序集构建的绩效评价模型有助于控制考核排名中的风险点,提升员工绩效考核质量。

关键词: 员工绩效排名, 权重可变, 偏序集, Hasse图, 稳健性分析

Abstract: Performance ranking is the most concerned part of the performance appraisal process, which is also an “active volcano” causing controversy. Therefore, this paper uses the Hasse graph of partial order set method to identify ranking disputes and control ranking risks, so as to improve the sense of organizational justice and employee satisfaction. First, this paper takes the uncertain weight as the starting point, and reconstructs the performance appraisal model using the theory of partial order set method to obtain the Hasse graph of employee performance ranking which can visually show the hierarchical clustering and unrobust ranking of employees. And in addition, this paper discusses the layering methods and properties of Hasse graphs. The results show that the ranking of comparable employees in Hasse graph is stable. For non-comparable employees, performance ranking is unstable. The example analysis shows that the performance appraisal model constructed by partial order set method can help control the risk points in the evaluation ranking and improve the quality of employee performance evaluation.

Key words: employee performance ranking, variable weights, Poset, Hasse graph, sensitivity analysis

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