基于Fuzzy-ISM的生产安全大数据共享行为模型构建  

Construction of a Multi-layer Hierarchical Model for Production Safety Big Data Sharing Behavior Based on Fuzzy-ISM

作　　者：汪伟忠 张国宝[2] Wang Weizhong;Zhang Guobao(School of Economics and Management,Southeast University,Nanjing211189;School of Management,Anhui Science and Technology University,Bengbu233100)

机构地区：[1]东南大学经济管理学院,南京211189 [2]安徽科技学院管理学院,蚌埠233100

出　　处：《情报杂志》2018年第9期167-172,147,共7页Journal of Intelligence

基　　金：江苏省研究生创新研究计划项目"基于二型模糊理论的复杂系统安全风险评估理论及其运用"(编号:KYCX18_0202)研究成果

摘　　要：[目的/意义]分析生产安全大数据共享行为,识别其影响因素并建构因素间的交互关系,优化和促进生产安全大数据共享行为,为生产安全大数据共享能力建设提供理论指导和参考依据。[方法/过程]首先,借鉴制度理论和计划行为理论,结合生产安全大数据及其共享特点分析生产安全大数据共享行为;然后,运用三角模糊数对生产安全大数据共享行为影响因素间交互关系进行表征,并引入解释结构模型对影响因素之间的层级关系进行解析,从而形成生产安全大数据共享行为多层递阶模型。[结果/结论]生产安全大数据共享行为模型是以资助政策为根本因素层,以数据时效性、数据维度、数据层次、感知收益和感知风险为直接因素层的6层递阶结构模型。[Purpose/Significance]The purpose of this paper is to optimize and promote the production safety big data sharing behavior and provide theoretical guidance and reference basis for the construction of production safety big data sharing capacity by analyzing the production safety big data sharing behavior.During the analysis,we also identify the interactions among influencing factors.[Method/Process]First,the production safety sharing behavior is analyzed based on the institutional theory and the theory of planned behavior.Next,applying the triangular fuzzy number to depict the interaction relationships among influencing factors of production safety big data sharing behavior.Then,the ISM method is introduced to construct the hierarchy structure model of these influencing factors.[Result/Conclusion]Production safety big data sharing behavior model consists of six levels.The basic factor level includes aid policy factors,and the direct factors level includes data timeliness,data dimension,data hierarchy,perceived benefits and perceived risk.

关 键 词：安全大数据 共享行为 解释结构模型 三角模糊数 

分 类 号：G250.2[文化科学—图书馆学]