基于熵值法的水利施工企业绩效考核KPI设计方法

doi:10.6040/j.issn.1672-3961.0.2019.785

摘要/Abstract

摘要： 在考虑 “二八原则”和“SMART原则”的基础上,借助熵值能够反映系统信息有序程度的优势,对熵值法的权重计算方法进行改进,建立熵值法KPI指标权重计算方法,排除人为主观因素对指标权重的影响;基于水利施工企业统计数据和公司目标,结合因果分析法和改进熵值法,提出适用于水利施工企业的KPI指标选择和权重计算方法,并可将该方法应用于水利施工企业的绩效评价分析。

关键词: 关键绩效指标, 绩效考核, 权重, 熵值法, 水利施工企业

Abstract: On the basis of “28 principle” and “SMART principle”, with the advantage that entropy could reflect the order degree of system information, the weight calculation method of entropy method was improved, and the weight calculation method of KPI index of entropy method was established. This method eliminated the influence of human subjective factors on index weight. Based on the statistical data of hydraulic engineering construction enterprise and the company's objectives, combined with the causal analysis method and the improved entropy method, the KPI index selection and weight calculation method suitable for hydraulic engineering construction enterprise was established. And this method was applied to the performance evaluation analysis of a hydraulic engineering construction enterprise.

Key words: key performance indicator, performance assessment, weight, entropy method, hydraulic engineering construction enterprise

中图分类号:

C931.2

程森. 基于熵值法的水利施工企业绩效考核KPI设计方法[J]. 山东大学学报 (工学版), 2020, 50(4): 80-84.

CHENG Sen. The KPI design method of performance assessment of hydraulic engineering construction enterprise based on entropy method[J]. Journal of Shandong University(Engineering Science), 2020, 50(4): 80-84.

参考文献

[1] 李陶. 新形势下小型水利工程施工企业开展工程建设项目全过程管理的初步思考[J]. 水利科学与寒区工程, 2018, 1(8):39-42. LI Tao. Preliminary thinking on the whole process management of small-scale water conservancy project construction enterprises in the new situation[J]. Hydro Science and Cold Zone Engineering, 2018, 1(8):39-42.
[2] 李荣. 浅谈水利工程施工中的常见问题以及改进措施[J].科学技术创新, 2019(2):128-129. LI Rong. Discussion on the common problems and improvement measures in the construction of water conservancy project [J]. Scientific and Technological Innovation, 2019(2):128-129.
[3] 周泽雁. 质量KPI在企业管理中的应用[J]. 企业改革与管理, 2018(10):22. ZHOU Zeyan. Application of quality KPI in enterprise management[J]. Enterprise Reform and Management, 2018(10):22.
[4] 娄新云. 基于KPI视角的中小企业绩效考核指标设定与实施研究[J]. 时代金融, 2018(2):156-157. LOU Xinyun. Research on setting and implementation of performance evaluation indicators for SMEs based on KPI perspective[J]. Times Finance, 2018(2):156-157.
[5] 孔嘉欣. 国有企业基于KPI的绩效考核研究[J]. 现代商贸工业, 2020, 41(5):129-131. KONG Jiaxin. Research on KPI based performance appraisal of state-owned enterprises[J]. Modern Business Trade Industry, 2020, 41(5):129-131.
[6] 郑迦文, 蒋云. 浅谈360度绩效考核法在企业中的应用困境[J]. 人力资源管理, 2018(2):280-281. ZHENG Jiawen, JIANG Yun. Talking about the dilemma of the application of 360 degree performance evaluation in enterprises[J]. Human resource Management, 2018(2):280-281.
[7] 袁菊丽. 360度绩效评估在企业年度考核中的应用[J]. 中国商论, 2018(2):106-107. YUAN Juli. Application of 360-degree performance evaluation in annual assessment of enterprises[J]. China Business & Trade, 2018(2):106-107.
[8] 银丽丽. 360度绩效考评法在高职院校管理人员中的应用研究[J]. 教育科学论坛, 2018(15):28-32. YIN Lili. Research on the application of 360 degree performance evaluation method in the management of higher vocational colleges[J]. Education Science Forum, 2018(15):28-32.
[9] 袁保合. 论平衡记分卡及其对企业管理的重要作用[J]. 中国市场, 2018(17):92-93. YUAN Baohe. On balanced scorecard and its important role in enterprise management[J] China Market Marketing, 2018(17):92-93.
[10] 王伟翔. 平衡计分卡在外贸企业战略执行中的运用[J].国际商务财会, 2018(6):58-61. WANG Weixiang. The application of balanced scorecard in the strategy implementation of foreign trade enterprises[J]. Economic and Trade·Accounting, 2018(6):58-61.
[11] 刘家伟. 平衡计分卡运用中的问题及对策分析[J]. 中国商论, 2020(2):223-225. LIU Jiawei. Problems and countermeasures in the application of balanced scorecard[J]. China Journal of Commerce, 2020(2):223-225.
[12] 李舜丰. 基于KPI的企业部门绩效考核体系设计研究[J].梧州学院学报,2012,22(3):12-15. LI Shunfeng. Research on the design of performance evaluation system of enterprise department based on KPI[J]. Journal of Wuzhou University, 2012, 22(3):12-15.
[13] VEENDIRKS Paulavan, WIJN Martin. strategic control: meshing critical success factors with the balanced scorecard[J]. Long Range Planning, 2002, 35(4):407-427.
[14] 郑海航, 吴冬梅. 企业人力资源管理:理论·实务·案例[M]. 北京: 经济管理出版社, 2007.
[15] 苏钧. 员工工作分析、薪酬设计与绩效考核实务全书[M]. 北京: 经济科学出版社, 2007.
[16] 杨宁. 浅析事业单位绩效管理的问题及对策[J]. 江苏科技信息, 2009(10):19-20. YANG Ning. Analysis on the problems and countermeasures of performance management of institutions[J]. Jiangsu Science & Technology Information, 2009(10):19-20.
[17] 朱向梅, 王晓慧, 王婧, 等. 基于聚类—熵值法的山西省区域旅游品牌规划研究[J]. 经营与管理, 2020(2):117-121. ZHU Xiangmei, WANG Xiaohui, WANG Jing, et al. Research on regional tourism brand planning of Shanxi Province Based on cluster-entropy method[J]. Management and Administration, 2020(2):117-121.
[18] 万志芳, 马晓琳. 基于熵值法的木材工业技术创新能力动态评价[J]. 统计与决策, 2020, 36(1):72-76. WAN Zhifang, MA Xiaolin. Dynamic evaluation of technological innovation ability of wood industry based on entropy method[J]. Statistics & Decision, 2020, 36(1):72-76.
[19] 石震, 董佳宇. 基于相关分析-修正熵值法的绿色经济评价模型[J]. 中国市场, 2019(36):20-21. SHI Zhen, DONG Jiayu. Green economy evaluation model based on correlation analysis modified entropy method[J]. China Market, 2019(36):20-21.
[20] 王爱越. 铁岭市服务业发展现状与政策建议[D]. 大连:大连理工大学, 2018. WANG Aiyue. Present situation and policy suggestions of service industry development in the city of Tieling[D]. Dalian: Dalian University of Technology, 2018.

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