大数据 ›› 2016, Vol. 2 ›› Issue (1): 86-98.doi: 10.11959/j.issn.2096-0271.2016010

• 研究 • 上一篇    下一篇

大数据环境下的管理信息系统发展研究

杨丽彬1,李海林1,2,张飞波1   

  1. 1 华侨大学信息管理系,福建 泉州 362021
    2 华侨大学现代应用统计与大数据研究中心,福建 厦门 362021 451191
  • 出版日期:2016-01-20 发布日期:2017-03-22
  • 作者简介:杨丽彬(1982-),女,华侨大学信息管理系讲师,主要研究方向为数据分析与知识管理。|李海林(1982-),男,博士,华侨大学信息管理系副教授、硕士生导师,主要研究方向为数据挖掘与决策支持。|张飞波(1993-),女,华侨大学信息管理系本科在读,主要研究方向为管理信息系统和数据分析。
  • 基金资助:
    国家自然科学基金资助项目(61300139);福建省社会科学规划项目(2013C018);华侨大学中青年教师科研提升资助计划基金资助项目(ZQN-PY220)

Research on development of management information system in big data environment

Libin YANG1,Hailin LI1,2,Feibo ZHANG1   

  1. 1 Department of Information Management,Huaqiao University,Quanzhou 362021,China
    2 Research Center for Applied Statistics and Big Data,Huaqiao University,Xiamen 361021,China
  • Online:2016-01-20 Published:2017-03-22
  • Supported by:
    The National Natural Science Foundation of China(61300139);Social Science Planning Project of Fujian Province(2013C018);Promotion Program for Young and Middle-aged Teacher in Science and Technology Research of Huaqiao University(ZQN-PY220)

摘要:

大数据时代的到来给管理信息系统带来了一定的冲击和挑战,因此有必要研究大数据对现代管理信息系统的作用及影响,使得管理信息系统的性能和社会服务作用得到进一步提升。首先从数据的内涵与特征来理解大数据的概念,接着从数据处理过程的角度来讲述大数据对管理信息系统业务流程的变化和影响,同时,从管理信息系统的构成来解析大数据对于管理信息系统的推动与发展作用。最后,针对基于大数据环境下的信息安全和信息人才短缺等问题进行了探讨,并提出了相关的解决方案。

关键词: 大数据, 管理信息系统, 数据挖掘, 信息处理

Abstract:

The age of big data brought the management information system some shocks and challenges.So it was necessary to investigate the effects and impacts of the big data for management information system,which made the performance and social service of management information system more powerful.The connotation and features were given in advance to understand the conception of big data and the impacts of big data for business process of management information system were illustrated.Meanwhile,the promoting functions of big data for management information system were analyzed from its constitution Finally,some problems including information security and talent shortage were discussed in the big data environment,and some solutions for them were also proposed.

Key words: big data, management information system, data mining, information process

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