期刊文献+

舟山江海联运公共信息平台建设现状分析及对策研究 被引量:1

Research on Current Situation and Strategy for the Construction of Public Information Platform of Zhoushan River-Ocean Combined Shipping Centre
下载PDF
导出
摘要 舟山江海联运公共信息平台建设是江海联运服务中心建设的重要支撑,在分析江海联运公共信息平台建设目标及现状基础上,文章通过详细调研获取江海联运公共信息平台现有用户对平台使用情况的客观评价,分析江海联运公共信息平台的运营成效及优势与不足,为江海联运公共信息平台下一步功能拓展和建设提供决策参考。 The construction of public information platform is a significant backing of the developing of Zhoushan river-ocean combined shipping centre.Based on the analysis of the target and the current situation of public information platform,the paper made a survey of user satisfaction of the platform in order to find the strengths and weaknesses.Finally the paper provides optimized and reasonable strategy to refine the construction of the platform.
作者 倪晓磊 邓明荣 周艳 NI Xiaolei;DENG Mingrong;ZHOU Yan(Ocean Research Center of Zhoushan,Zhejiang University,Zhoushan 316021,China)
出处 《物流科技》 2019年第9期76-79,共4页 Logistics Sci-Tech
基金 舟山市科技计划项目(2016C51027)
关键词 舟山江海联运公共信息平台 用户调研 对策 public information platform of Zhoushan river-ocean comb user survey strategy
  • 相关文献

参考文献4

二级参考文献31

  • 1陶雪娇,胡晓峰,刘洋.大数据研究综述[J].系统仿真学报,2013,25(S1):142-146. 被引量:344
  • 2阳明明.香港的港口服务型供应链[J].中国物流与采购,2006(10):56-58. 被引量:43
  • 3徐子沛.《大数据》,桂林:广西师范大学出版社2013年版,第347页.
  • 4邢文凤,李增军.天津东疆保税港区港口物流服务供应链的构建[J].物流技术,2007,26(12):88-90. 被引量:5
  • 5S. Lohr, "The Origins of 'Big Data' An Etymological Detective Story," 2013 -02 -01, http://bits, blogs. nytimes, com//2013/O2/O1/the-origins-of-big-data-an-etymologieal-detective-story/, 2015 - 02 - 01.
  • 6Nature, "Big Data," 2008 - 09 - 03, http://www, nature, com/news/specials/bigdata/index, html, 2015 - 02 - 01.
  • 7Science, "Special Online Collection: Dealing with Data," 2011 - 02 - 11, http://www, sciencemag, org/site/ special/data/, 2015 - 02 - 01.
  • 8J. Manyika, M. Chui & B. Brown, et al. , "Big Data: The Next Frontier for Innovation, Competition, and Productivity ," 2011 - 05, http : / /www. mcMnsey, corn/insights/business_ technology/big_ data_ the_ next_ frontier_for innovation, 2015 - 02 - 01.
  • 9S. Ghemawat, H. Gobioff & S. Leung, "The Google File System, "ACM Symposium on Operating Systems Principles, Vol. 37, No. 5(2003), pp. 29 -43.
  • 10J. Dean & S. Ghemawat, "MapReduce: Simplified Data Processing on Large Clusters," Corrtrrzunications of the ACM, Vol. 51, No. 1(2008), pp. 107 - 113.

共引文献19

同被引文献8

引证文献1

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部