矿工社会支持网络对煤矿企业安全文化的影响研究

发布时间：2018-06-15 23:26

本文选题：社会支持网络 + 知识　；参考：《西安科技大学》2015年硕士论文

【摘要】：为了提高煤矿企业安全管理水平,从根源上阻断矿工不安全行为发生的机会,基于矿工社会网络、社会支持网络、煤矿企业安全文化的重要性,分别采用社会网络分析法、统计分析法、SEM模型法,选取煤矿一线矿工与一般工作人员作为研究对象,理论与实证相结合探索矿工社会支持网络如何影响煤矿企业安全文化。首先,以文献和相关理论为基础,对矿工的整体网络进行分析,选取该矿综采队作为研究整体,设计一个核心问题“平时,你和哪些矿工交谈过自己的家庭、工作、生活中的困难问题”,采用UCINET6.0软件对135名综采队矿工的整体社会网络结构特征进行刻画,从整体上了解矿工的社会网络情况。而后,将研究视角转向矿工个体,从网络规模、关系类型、关系连带强度、同质性、异质性5个方面分析其个体社会支持网络特征,为后续概念模型及结构方程模型的建立奠定基础。其次,在前文分析的基础上,构建本研究的概念模型,并提出理论假设,以概念模型为纲领,借鉴专家成熟问卷,并结合研究目的适当修正,作为初始问卷,对于回收的问卷题项进行独立样本T检验、皮尔逊相关性、探索性因子分析等预调研分析,最终确立本研究的问卷。最后,在前文研究的基础上,建立本研究的SEM模型,采用正式问卷收集的数据,对模型进行识别、拟合评价、修正等,得到最终模型,并验证了本研究的8个假设,且均成立:假设H1,矿工网络规模对安全知识流具有显著的正向影响;假设H2,矿工网络规模对正能量流有显著的正向影响;假设H3,矿工网络关系类型越丰富,传递的安全知识流就越大;假设H4,矿工网络规模越大,传递的正能量流就越大;假设H5,矿工之间互相交流的关系强度越强,传递的安全知识流就越强大;假设H6,矿工间关系强度越强,传递的正能量流越大;假设H7,矿工之间传递的安全知识流越大,越有利于煤矿企业安全文化建设;假设H8,矿工之间传递的正能量越多,越能支持煤矿企业安全文化的建设。结果表明:8个假设均成立,即矿工网络规模对安全知识流具有显著的正向影响;矿工网络规模对正能流有显著的正向影响;矿工网络关系类型越丰富,传递的安全知识流就越大;矿工网络规模越大,传递的正能量流就越大;矿工之间交流的关系强度越强,传递的安全知识流就越强大;矿工之间关系强度越强,传递的正能量流越大;矿工之间传递的安全知识流越大,越有利于煤矿企业安全文化建设;矿工之间传递的正能量越多,越能支持煤矿企业安全文化建设。并且依据模型分析讨论结果,从矿工社会网络、改善矿工社会支持网络、提升煤矿企业安全文化建设三个方面提出建设良好煤矿企业安全文化的切实可行的对策与建议。通过本文的研究,从理论与实证两个方面,分析了矿工社会支持网络如何影响煤矿企业安全文化,具体反映了两者间的影响路径关系,为煤矿企业管理者建设良好安全文化指明道路,能有效推动煤矿安全管理的前进。
[Abstract]:In order to improve the safety management level of coal mining enterprises and the opportunity to block the unsafe behavior of miners from the root, it is based on the social network of miners, the social support network and the importance of the safety culture of the coal mine enterprises. It adopts the social network analysis method, the statistical analysis method and the SEM model method respectively to select the coal mine workers and the general staff as the research. To explore how the miner's social support network affects the safety culture of coal mining enterprises. First, based on the literature and related theories, the whole network of miners is analyzed, and the mine fully mechanized coal mining team is selected as a whole to design a core question, "in peacetime, you and which miners have talked to their own families and work." The difficult problems in life ", using UCINET6.0 software to describe the overall social network structure characteristics of 135 mechanized mining miners, understand the social network of miners from the whole, and then turn the research perspective to the miners' individual, analyze the individual from 5 aspects of network scale, relationship type, connection and connection intensity, homogeneity and heterogeneity. The social support network features lay the foundation for the following conceptual model and the establishment of the structural equation model. Secondly, on the basis of the previous analysis, we construct the conceptual model of this study, and put forward the theoretical hypothesis, using the concept model as the program, drawing on the expert mature questionnaire and combining the research purpose properly, as the initial questionnaire, for the recovery question. The items are analyzed by independent sample T test, Pearson correlation, exploratory factor analysis and so on. Finally, on the basis of the previous research, the SEM model of this study is established and the data collected from the formal questionnaire are used to identify the model, to fit the evaluation and to correct, and to get the final model, and verify the model. The 8 hypotheses of this study are all set up: assuming that H1, miner network size has a significant positive impact on the safe knowledge flow; assuming H2, the miner network size has a significant positive impact on the positive energy flow; assuming H3, the more rich the miner network relations are, the greater the flow of safety knowledge flows; the greater the size of the miner network, the positive transfer of the miner network. The greater the energy flow, the stronger the relationship between the miners, the stronger the strength of the relationship between the miners, the stronger the transfer of the flow of safety knowledge; the stronger the relationship between the miners, the greater the positive energy flow of the miners, the greater the safety knowledge flow transmitted between the miners, the more advantageous to the construction of the safety culture of the coal mine enterprises, assuming that the H5, the transfer between the miners and the miners, is transmitted between the miners and the miners. The more positive energy is, the more it can support the construction of safety culture of coal mining enterprises. The results show that the 8 hypotheses are all established, that is, the miner network scale has a significant positive influence on the safety knowledge flow; the miner network scale has a significant positive influence on the positive flow; the more rich network relation type of miner's network, the greater the transfer of safety knowledge flow is, the miner network The larger the scale of the collaterals is, the greater the positive energy flow is, the stronger the relationship between the miners, the stronger the transfer of the safety knowledge flow, the stronger the relationship between the miners, the greater the positive energy flow, the greater the safety knowledge flow between the miners, the more conducive to the construction of the safety culture of the coal mine and the positive energy transfer between the miners. The more, the more it can support the construction of safety culture of coal mining enterprises, and according to the model analysis and discussion results, from the miner social network, improve the miner social support network, improve the safety culture construction of coal mine enterprises three aspects of the construction of a good coal mining enterprise safety culture feasible countermeasures and suggestions. The two aspects of the empirical analysis are the analysis of how the miner's social support network affects the safety culture of coal mine enterprises, which reflects the relationship between the two, and indicates the road for the management of the coal mine enterprises to build a good safety culture, and can effectively promote the advance of the coal mine safety management.
【学位授予单位】：西安科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F270;F426.21

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