集成BN和计算试验方法的制造业企业员工CWB研究

发布时间：2018-01-29 15:57

  本文关键词： 反生产行为(CWB) 贝叶斯网络(BN) 计算试验 控制策略 制造业企业　出处：《中国安全科学学报》2017年08期 　论文类型：期刊论文

【摘要】：为避免制造业企业员工反生产行为(CWB)对组织安全及绩效的负面作用,基于贝叶斯网络(BN)和计算试验方法,研究群体CWB的演化模型。首先将个体CWB发生机制和制造业企业调研数据相结合,通过参数学习构建出员工CWB的BN结构模型;然后基于该模型,结合社会影响和观点交换理论,设计员工群体行为交互规则,并嵌入计算试验模型中进行仿真分析。研究表明:员工规模增长不会导致群体CWB的扩散,而员工尽责性和组织分配公平对CWB的影响显著;员工间沟通范围和地缘关系会导致CWB的恶化,但控制关键在于防范初期的极化舆情;平行管理和有机式组织虽然能控制群体CWB,但在实施时存在风险。
[Abstract]:In order to avoid the negative effect of CWBs on organizational safety and performance, BN-based Bayesian Networks (BNs) and computational test methods are used to avoid the negative effects of CWBs on organizational safety and performance. The evolution model of CWB is studied. Firstly, the mechanism of individual CWB is combined with the investigation data of manufacturing enterprises, and the BN structure model of employee CWB is constructed by parameter learning. Then, based on the model, combining the theory of social impact and view exchange, the interaction rules of employee group behavior are designed. The results show that the growth of staff size will not lead to the diffusion of group CWB, while employee due diligence and organizational fairness have a significant impact on CWB. The scope of communication and geographical relationship between employees will lead to the deterioration of CWB, but the key to control lies in the prevention of initial polarization of public opinion; Although parallel management and organic organization can control CWBs, there are risks in implementation.
【作者单位】： 三峡大学经济与管理学院;华中科技大学管理学院;
【基金】：国家自然科学基金资助(71401090,71531009) 湖北省软科学研究面上项目(2017ADC085)
【分类号】：F272.92;F425
【正文快照】： 0引言近年来我国制造业企业赖以生存的人口红利逐渐消失,新生代农民工逐渐取代老一代农民工,组织公平感、环境压力、情绪波动等因素使员工的安全绩效管理问题日趋严峻[1]。因此,相关研究逐渐转向员工群体的不安全行为——反生产行为(Counter-productive Work Behavior,CWB),该，

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