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Research on Performance Appraisal Method of Grass Roots Staff in the Perspective of Complex Big Data

机译:复杂大数据视角下基层工作人员绩效考核方法研究

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The traditional performance appraisal method of grass-roots staff is not strong enough to motivate employees, which leads to the problem of poor workload completion. To solve this problem, the paper designs the performance appraisal method of grass-roots employees from the perspective of complex big data. Sort out the evaluation procedures, determine the integrated employee performance appraisal indicators, and construct the index system. The weight of assessment index is calculated by the method of priority diagram. The index and index weight are integrated, and the competency model is constructed by combining fuzzy evaluation method. At the same time, set up the rules of appraisal grade division to complete the performance appraisal of grass-roots employees. This paper constructs the case analysis link, obtains the basic information of the enterprise, and realizes the comparison between this method and the traditional method. According to the comparison results, this method has a strong incentive effect on employees, and the completion degree of enterprise workload is better.
机译:基层工作人员的传统绩效评估方法不足以激励员工,这导致工作量较差的问题。为了解决这个问题,本文从复杂的大数据的角度设计了基层员工的性能评估方法。整理评估程序,确定综合员工绩效评估指标,并构建指标体系。评估索引的重量通过优先级图来计算。集成指数和索引权重,通过组合模糊评估方法构建能力模型。与此同时,建立评估成绩司规则,以完成基层员工的绩效评估。本文构建了案例分析链接,获取企业的基本信息,实现了这种方法与传统方法的比较。根据比较结果,这种方法对员工具有强烈的激励效果,企业工作量的完成程度更好。

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