| 考虑内外因素的电子商务产业与大数据产业协同演化研究 |
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| 引用本文： | 郭皓月,樊重俊,李君昌,王来,吴海春,杨云鹏.考虑内外因素的电子商务产业与大数据产业协同演化研究[J].运筹与管理,2019,28(3):191-199. |
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| 作者姓名： | 郭皓月 樊重俊 李君昌 王来 吴海春 杨云鹏 |
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| 作者单位： | 上海理工大学 管理学院,上海 200093 |
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| 基金项目： | 上海市一流学科资助基金项目(S1205YLXK);沪江基金项目(D14008) |
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| 摘 要： | 在新经济体系建设中,电子商务产业与大数据产业协同与融合成为必然趋势。在讨论二者协同关系和交叉业务内容的基础上,从系统的角度出发,基于经典哈肯模型构建了电子商务-大数据系统(EBDS)协同演化模型,并讨论了绝热消去方法的应用条件。接着,运用熵权法确定两子系统序参量的权重,进而量化了二者的有序度及协同度。通过数值拟合,验证了所构建演化模型的可信度,并发现了EBDS存在两个稳定点,但EBDS仍处于协同程度较低的互助协同阶段,对此从协同应用、产业链、风险、外部环境和生态圈五个方面给出了建议。
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| 关 键 词： | 协同学 大数据 电子商务 绝热消去 |
| 收稿时间： | 2018-05-10 |
Research on Synergetic Evolvement of E-commerce Industry andBig Data Industry Considering Internal and External Factors |
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| GUO Hao-yue,FAN Chong-jun,LI Jun-chang,WANG Lai,WU Hai-chun,YANG Yun-peng.Research on Synergetic Evolvement of E-commerce Industry andBig Data Industry Considering Internal and External Factors[J].Operations Research and Management Science,2019,28(3):191-199. |
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| Authors: | GUO Hao-yue FAN Chong-jun LI Jun-chang WANG Lai WU Hai-chun YANG Yun-peng |
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| Affiliation: | Business School, University of Shanghai for Science and Technology, Shanghai 200093, China |
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| Abstract: | In the construction of new economic system, the synergy and integration between the e-commerce industry and the big data industry have become an inevitable trend. Considering the background of synergetics relationship and cross-business, the paper constructs the E-commerce-Big Data System(EBDS)co-evolution model based on the traditional Haken in the view of system. In particular, we discuss the applicable conditions of adiabatic elimination synthetically. Thereafter, for the two subsystems, the order parameters’ weights are determined using the entropy weight method, and their degree and synergy also are quantized. Then, we verify the reliability of co-evolution model constructed with numerical simulation, and we conclude that there are two stable points in EBDS. However, the system is still in mutual assistance stage in coordination with a low degree of synergy. Finally, five effective and reliable suggestions are proposed to improve subsystems’ synergy level from synergetics application, industrial chain, risk, external environment and ecosystem. |
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| Keywords: | synergetics big data e-commerce adiabatic elimination |
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