人力资本对精益生产实施的影响研究

V. Orekhov, Sergey Golovchanov, A. Karanashev
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引用次数: 0

摘要

该研究致力于利用新资源促进人力资本增长的实际问题,特别是精益的实施。本研究旨在确定俄罗斯企业实施结果对人力资本开发水平等因素的依赖程度。本研究的主题是精益实施的结果对表征生产系统的主要综合指标组的依赖性。主要的研究方法是采用专家的书面调查和调查结果的回归分析。研究了精益生产实施结果(R)对人力资本(H)、企业文化(C)和精益生产实施过程(P)三个综合指标的依赖关系。精益生产结果对相应最优预测因子的依赖关系具有较高的决定系数:R(H) = 0.69;对于四次多项式形式的回归模型,R(C) = 0.78, R(P) = 0.80。已经确定了对精益实施结果影响最大的指标。人力资本的预测因子为员工受教育程度(权重为- 0.29)、员工学习意愿(权重为0.25)、年龄特征满意度(权重为0.24)和学科满意度(权重为0.22);企业文化的预测因子为合作文化(0.35)、外表文化(0.24)、按部就任(0.24);对于精益实施过程所做更改的整合(0.83)。对于一般最优预测器,主要因素是所做更改的巩固(0.79)、执行更改的速度(0.11)和工作人员学习的意愿(0.10)。根据精益实施结果对广义聚合预测器的依赖性,所有被调查的组织分为三个集群。实施精益最成功的公司占26%,他们的平均成功评分为3.8分(满分为5分)。研究结果可用于企业制定精益生产实施方案和战略规划,以提高人力资本的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the impact of human capital on the lean production implementation
The study is devoted to the actual problem of using new resources for human capital growth, particularly the implementation of Lean. The study aims to identify the dependence of the implementation results at Russian enterprises on the level of human capital development and other factors. The subject of the study is the dependence of the results of Lean implementation on the main groups of aggregated indicators characterising the production system. The primary research methods used written surveys of experts and regression analysis of survey results. The dependence of the results of the implementation of lean production (R) on the aggregated indicators of human capital (H), corporate culture (C) and the Lean implementation process (P) is investigated. The dependences of the results of lean production on the corresponding optimal predictors have relatively high coefficients of determination: R(H) = 0.69; R(C) = 0.78 and R(P) = 0.80 for regression models in the form of 4th-degree polynomials. The indicators that have the most significant impact on the results of Lean implementation have been identified. For the predictor of human capital, this is staff educational level (weight – 0.29), staff willingness to study (0.25), the satisfaction of age characteristics (0.24) and discipline (0.22); for the predictor of corporate culture the culture of cooperation (0.35), the culture of appearance (0.24), work according to the rules (0.24); for the Lean implementation process consolidation of the changes made (0.83). For the generalised optimal predictor, the dominant factors are the consolidation of the changes made (0.79), the speed of changes implementation (0.11) and the willingness of staff to learn (0.10). All surveyed organisations are divided into three clusters according to the dependence of Lean implementation results on the generalised aggregated predictor. The share of companies that have most successfully implemented Lean is 26%, the average rating of their success on a five-point scale is 3.8. The study results can be used in developing lean production implementation programs at enterprises and in strategic planning to increase the efficiency of human capital.
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