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采用ABMS方法的煤炭企业服务化绩效的影响机制研究
引用本文:■闫卓,卢才武,徐家越,章赛.采用ABMS方法的煤炭企业服务化绩效的影响机制研究[J].科技促进发展,2021,17(6):1169-1179.
作者姓名:■闫卓  卢才武  徐家越  章赛
作者单位:西安建筑科技大学管理学院 西安 710055;西安建筑科技大学资源工程学院 西安 710055
基金项目:年国家社会科学基金西部项目(18XGL010):“丝绸之路经济带”沿线国家矿产资源合作开发价值链与利益分配机制研究,负责人:卢才武。
摘    要:本研究认为煤炭企业服务化转型是促进产业结构调整与升级的有效措施.为了分析服务化对企业绩效的影响机制,将服务化分为服务创新与组织创新两个维度,并采用基于Agent的建模仿真(Agent-Based Modeling And Simulation,ABMS)方法和CobbDouglas生产函数构建企业服务化创新多Agent仿真模型,通过确定管理者、员工、科研机构和政府等Agent及其属性,借助Netlogo仿真平台模拟组织变革水平、知识获取水平和政策支持对服务化绩效的影响程度.结果表明:组织变革水平与服务化绩效之间呈S型曲线关系;知识获取水平与服务化绩效之间呈倒U型曲线关系;政策支持与服务化绩效具有显著的正向影响.多Agent仿真模型促进了服务化对绩效影响的定量化分析研究,为煤炭企业决策提供了有效依据.

关 键 词:煤炭企业  服务化绩效  服务创新  基于agent的建模与仿真
收稿时间:2020/8/25 0:00:00
修稿时间:2020/12/31 0:00:00

Research on the Mechanism Influencing Coal Enterprises' Service Performance Using the ABMS
YAN Zhuo,LU Caiwu,XU Jiayue and ZHANG Sai.Research on the Mechanism Influencing Coal Enterprises' Service Performance Using the ABMS[J].Science & Technology for Development,2021,17(6):1169-1179.
Authors:YAN Zhuo  LU Caiwu  XU Jiayue and ZHANG Sai
Institution:School of Management, Xi''an University of Architecture and Technology, Xi''an, 710055,School of Resources Engineering, Xi''an University of Architecture and Technology, Xi''an, 710055,School of Management, Xi''an University of Architecture and Technology, Xi''an, 710055,School of Management, Xi''an University of Architecture and Technology, Xi''an, 710055
Abstract:The study believed that the service transformation of coal enterprises is an effective measure to promote the adjustment and upgrading of the industrial structure. In order to analyze the influence mechanism of servitization on coal enterprise performance, servitization was divided into the dimensions of service innovation and organizational innovation, and the multi-agent simulation model was constructed according to the agent-based modeling and simulation (ABMS) method and the CobbDouglas production function. Firstly, agents such as managers, employees, scientific institutions and governments were determined, and then the influence of three factors on servitization performance was simulated through the Netlogo platform, including the organizational change level, the knowledge acquisition level and the policy support. The results show that there is an S-shaped curve relationship between the level of organizational change and service performance; there is an inverted U-shaped curve between knowledge acquisition level and service performance; policy support and service performance have a significance positive impact.
Keywords:coal enterprises  servitization performance  service innovation  agent-based modeling and simulation
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