集成BN和计算试验方法的制造业企业员工CWB研究

doi:10.16265/j.cnki.issn1003-3033.2017.08.005

中国安全科学学报 ›› 2017, Vol. 27 ›› Issue (8): 25-31.doi: 10.16265/j.cnki.issn1003-3033.2017.08.005

集成BN和计算试验方法的制造业企业员工CWB研究

赵旭¹ 副教授, 田野¹ 教授, 胡斌² 教授

1 三峡大学经济与管理学院,湖北宜昌 443002;
2 华中科技大学管理学院,湖北武汉 430074

收稿日期:2017-05-14 修回日期:2017-07-07 出版日期:2017-08-20 发布日期:2020-10-13
作者简介:赵旭(1982—),男,湖北宜昌人,博士,副教授,主要从事组织行为学、社会计算、管理系统模拟等方面的研究。E-mail:zhaoxu@ctgu.edu.cn。
基金资助:
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)。

Research on manufacturing enterprises employees CWB based on combining BN with computational experiment

ZHAO Xu¹, TIAN Ye¹, HU Bin²

1 School of Economics and Management, China Three Gorges University, Yichang Hubei 443002, China;
2 School of Management, Huazhong University of Science and Technology, Wuhan Hubei 430074, China

Received:2017-05-14 Revised:2017-07-07 Online:2017-08-20 Published:2020-10-13

摘要/Abstract

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。

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

Abstract: In order to avoid negative effects of the manufacturing enterprise employees counterproductive work behavior on organizational safety and performance, this paper studies a new way of combing BN with computational experimental method to build on evolution model for CWB. First, based onthe individual behavior mechanism of CWB and real data on Chinese manufacturing enterprises, a BN structural model for CWB can be acquired by parameter learning. And then interactive rules are designed for employees group behaviors on the basis of the BN model, social network theory and social exchange theory, which are embedded in the computational experiment model to simulate the CWB evolution process. The research shows that the growth of employees will not lead to the diffusion of CWB, the employees conscientiousness and distributing fairly have a significant influence on CWB, that both the scope of communication and the geographical relationship between employees will lead to deterioration of CWB, but the key to control is preventing initial polarization public opinion, and that while parallel management and organic organization can control group CWB, there are risks in implementation.

Key words: counterproductive work behaviors(CWB), Bayesian network(BN), computational experiment, control strategy, manufacturing enterprise

中图分类号:

X912

赵旭, 田野, 胡斌. 集成BN和计算试验方法的制造业企业员工CWB研究[J]. 中国安全科学学报, 2017, 27(8): 25-31.

ZHAO Xu, TIAN Ye, HU Bin. Research on manufacturing enterprises employees CWB based on combining BN with computational experiment[J]. China Safety Science Journal, 2017, 27(8): 25-31.

参考文献

[1] 李芳薇,袁震宇,李永娟.工作环境压力源对煤矿工人反生产行为和安全的影响[J] 中国安全科学学报, 2012, 22(6):20-26.
LI Fangwei, YUAN Zhenyu, LI Yongjuan. Effects of work environment stressors on coalmine employees' counter-productive work behavior and safety outcome [J]. China Safety Science Journal, 2012, 22(6):20-26.
[2] SPECTOR P E, FOX S, PENNEY L M, et al. The dimensionality of counter productivity: are all counterproductive behaviors created equal? [J]. Journal of Vocational Behavior, 2006, 68(3): 446-460.
[3] JENSEN J M, PATEL P C. Predicting counterproductive work behavior from the interaction of personality traits [J]. Personality & Individual Differences, 2011, 51(4):466-471.
[4] 赵旭. 基于突变论和计算试验的企业员工反生产行为研究[D]. 武汉:华中科技大学,2014.
ZHAO Xu. Research on the employees counterproductive work behavior based on catastrophe theory and computational experiments [D]. Whuhan: Huazhong University of Science and Technology, 2014.
[5] 李乃文, 崔宏, 黄敏,等. 矿工反生产行为演化机理仿真分析[J]. 中国安全科学学报, 2015, 25(5):25-30.
LI Naiwen, CUI Hong, HUANG Min. Simulation analysis of miners＇counterproductive work behaviors evolution mechanism[J]. China Safety Science Journal, 2015, 25(5):25-30.
[6] 赵旭, 胡斌. 基于计算试验的企业员工反生产行为控制研究[J]. 管理工程学报, 2015, 29(2):80-92.
ZHAO Xu, HU Bin. Research on control over employees counterproductive work behavior based on computational experiments [J] Journal of Industrial Engineering and Engineering Management, 2015, 29(2):80-92.
[7] SOMERS M J. Thinking differently: assessing nonlinearities in the relationship between work attitudes and job performance using a Bayesian neural network[J]. Journal of Occupational and Organizational Psychology, 2001, 74(1):47-61.
[8] TUNG Kuanyeh, HUANG Ingchung, CHEN Shuling, et al. Mining the Generation Xers' job attitudes by artificial neural network and decision tree:empirical evidence in Taiwan, China[J]. Expert Systems with Applications, 2005, 29(4): 783-794.
[9] BOWLING N A, GRUYS M L. Overlooked issues in the conceptualization and measurement of counterproductive work behavior[J]. Human Resource Management Review, 2010, 20(1):54-61.
[10] SPECTOR P E. The relationship of personality to counterproductive work behavior (CWB): an integration of perspectives[J]. Human Resource Management Review, 2011, 21(4): 342-352.
[11] MARTINKO M J, GUNDLACH M J, DOUGLAS S C. Toward an integrative theory of counterproductive workplace behavior: a causal reasoning perspective[J]. International Journal of Selection and Assessment, 2002, 10(1/2): 36-50.
[12] GRUYS M L, SACKETT P R. Investigating the dimensionality of counterproductive work behavior[J]. International Journal of Selection and Assessment, 2003, 11(1):30-38.
[13] O'BOYLE E H, FORSYTH D R, O'BOYLE A S. Bad apples or bad barrels: an examination of group- and organizational-level effects in the study of counterproductive work behavior[J]. Group & Organization Management, 2011, 36(1):39-69.
[14] RICHARDSEN A M, MARTINUSSEN M. Factorial validity and consistency of the MBI-GS across occupational groups in Norway [J]. International Journal of Stress Management, 2005, 12(3):289-297.
[15] MCEWAN T E, DAVIS M R, MACKENZIE R, et al. The effects of social desirability response bias on STAXI-2 profiles in a clinical forensic sample[J]. British Journal of Clinical Psychology, 2009, 48(4): 431-436.

集成BN和计算试验方法的制造业企业员工CWB研究

Research on manufacturing enterprises employees CWB based on combining BN with computational experiment

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	马港, 徐晓楠, 郭小芳, 张志珍, 徐子豪. 基于贝叶斯网络的电镀企业火灾事故情景推演[J]. 中国安全科学学报, 2023, 33(2): 202-208.
[2]	张冰鉴, 苏秦, 刘海龙. 基于FTA-BN的云ERP不安全事件的人因失误分析[J]. 中国安全科学学报, 2023, 33(2): 38-47.
[3]	靳慧斌, 朱孟昌, 马明霞. 基于ACE-BN的通勤飞行事故/事件诱因分析[J]. 中国安全科学学报, 2023, 33(2): 96-102.
[4]	赵建伟, 谢磊, 杨洋, 胡昕源, 欧昌奎, 曾荣. 基于ISM-BN的内河船舶航行风险因素研究*[J]. 中国安全科学学报, 2022, 32(8): 37-44.
[5]	梁本部, 谢科范, VAN DER WAL Natalie, 刘嘉. 考虑室内呼吸暴露风险的人群引流控制策略研究[J]. 中国安全科学学报, 2022, 32(5): 14-20.
[6]	刘嘉豪, 余杨, 张振兴, 余建星, 王巍巍, 傅一钦. 二维云模型和贝叶斯网络的立管风险评估方法[J]. 中国安全科学学报, 2022, 32(5): 147-154.
[7]	鲁义, 伍江乐, 邵淑珍, 施式亮, 周荣义, 王伟. 基于贝叶斯网络的危化品道路运输事故推理模型[J]. 中国安全科学学报, 2022, 32(3): 174-182.
[8]	杨越, 马博凯, 曹宇轩. 国外空管不安全事件中的人误风险分析[J]. 中国安全科学学报, 2022, 32(12): 38-45.
[9]	吕伟, 周雯楠, 陈文涛, 韩业凡, 房志明. 暴雨灾害短视频引发舆情危机的BN研究[J]. 中国安全科学学报, 2022, 32(11): 192-199.
[10]	韩鹏, 王军, 王启, 赵嶷飞. 基于飞行剖面的航空器试飞活动空管风险研究[J]. 中国安全科学学报, 2022, 32(1): 149-156.
[11]	胡韫频, 李超, 李宗亮, 杨道合. 大跨度钢结构施工安全风险评价IHFACS-BN模型及应用^*[J]. 中国安全科学学报, 2021, 31(8): 147-154.
[12]	潘丹, 李永, 罗帆, 张攀科, 肖琴. 飞行区外来物入侵安全风险致因FTA-BN模型[J]. 中国安全科学学报, 2021, 31(6): 7-13.
[13]	王军武, 王梦雨, 刘登辉, 吴寒, 胡蝶. 基于HFACS-BN的地铁车站施工高处坠落可能性评价[J]. 中国安全科学学报, 2021, 31(6): 90-98.
[14]	刘阳, 张建经, 罗宏森, 于海莹, 向波. 基于贝叶斯网络的Fuzzy-SVM路基震害预测模型^*[J]. 中国安全科学学报, 2021, 31(11): 171-178.
[15]	米红甫, 张小梅, 杨文璟, 王文和, 刘亚玲, 焦一飞. 城市地下综合管廊电缆舱火灾概率分析方法[J]. 中国安全科学学报, 2021, 31(1): 165-172.