期刊文献+

大数据推动下的旅游企业人才管理变革 被引量:1

Talent Management Change for Tourist Enterprises Driven by Big Data
下载PDF
导出
摘要 从企业文化重塑、组织结构再造、领导风格转变三个方面,提出了旅游企业人才管理变革的对策。数据导向企业文化的建立是推行变革的基础,基于数据流程的组织结构再造是变革的核心,变革型领导风格的选择是变革的保障,三者相互配合才能达到变革的目标。 Based on three perspectives of enterprise culture renewal, organizational structure reengineering and transition of leadership style, this paper elaborates the solutions to change management of tourist talents.The foundation of change should be the establishment of data-driven culture.The core should be organization structure reengineering by data flow.The guarantee of change should be the choice on transformational leadership style.They should interact with each other so as to reach the target of change.
作者 李琳
出处 《成都工业学院学报》 2015年第3期61-63,共3页 Journal of Chengdu Technological University
基金 四川省社会科学重点研究基地四川旅游发展研究中心课题"大数据时代四川旅游人才管理创新研究"(LYC14-42)
关键词 大数据 旅游企业 人才管理 变革 big data tourist enterprise talent management change
  • 相关文献

参考文献20

  • 1Big data [ EB/OL. (2012 - 10 - 02 ) E 2015 - 06 - 02 ]. http :// en. wikipedia, org/wiki/Big_data.
  • 2LOHR S. The age of big data N. New York Times, 2012 -02 -11. IDC [ EB/OL]. (2013 - 01 - 29) [ 2015 - 06 - 02 ]. http ://www. ide. com. cn/about/press, jsp? id = Nzl3.
  • 3维克托·迈尔·舍恩伯格,肯尼思·库克耶.大数据时代:生活、工作与思维的大变革[M].杭州:浙江人民出版社,2013.
  • 4中国互联网信息中心.第35次中国互联网络发展状况统计报告[EB/OL].[2015-03-10].www.cnnic.en/hlwfzyj/hlwxzbg/hlwtjbg/201502/P020150203548852631921.pdf.
  • 5蔡家成.大数据与旅游:游客监测系统的案例分享[N].中国旅游报,2014-08-25(7).
  • 6王洋.峨眉山:让用户体验"不转弯"[N].中国旅游报,2014-10-13(5).
  • 7萧永航,党文伯.九寨沟为何变成死胡同[N].新华每日电讯,2013-10-04(4).
  • 8张昱,马浩剑.国家智慧旅游"大数据"平台建设落户西太湖[N].常州日报,2014-12-22(A01).
  • 9徐潇声,潘沩.在线旅游新玩法:大数据助力“反向定制”[N].2l世纪经济报道,2014-08-11(18).
  • 10靳丹.旅游O2O的重点在于用户消费决策——专访蚂蜂窝CEO陈罡:用户大数据成就蚂蜂窝特价[J].互联网周刊,2014,0(15):56-57. 被引量:3

二级参考文献179

  • 1张维迎.从现代企业理论看国有企业改革[J].改革,1995(1):30-33. 被引量:84
  • 2李超平,时勘.变革型领导的结构与测量[J].心理学报,2005,37(6):803-811. 被引量:457
  • 3高勇强.政治企业家的制度创新模式——对浙江吉利、中国电信与海南凯立的案例研究[J].公共管理学报,2007,4(1):62-69. 被引量:8
  • 4Nature. Big Data [EB/OL]. [2012-10-02]. http,//www. nature, com/news/specials/bigdata/index, html.
  • 5Bryant R E, Katz R H, Lazowska E D. Big-Data computing : Creating revolutionary breakthroughs in commerce, science, and society [R]. [2012-10-02]. http:// www. cra. org/ccc/docs/init/Big_Data, pdf.
  • 6Science. Special online collection: Dealing with data [EB/OL]. [2012-10-02]. http://www, sciencemag, org/site/ special/data/, 2011.
  • 7Agrawal D, Bernstein P, Bertino E, et al. Challenges and opportunities with big data A community white paper developed by leading researchers across the United States [R/OL]. [2012-10-02]. http://cra, org/ccc/docs/init/bigdata whitepaper, pdf.
  • 8Manyika J, Chui M, Brown B, et al. Big data: The next frontier for innovation, competition, and productivity [R/OL]. [ 2012-10-02 ]. http://www, mekinsey, corn/ Insights]MGI[Research/Teehnology _ and _ Innovation]Big _ data The next frontier for innovation.
  • 9World Economic Forum. Big data, big impact: New possibilities for international development [R/OL]. [2012- 10-02]. http://www3, weforum, org/docs/WEF TC MFS BigDataBigImpact_Briefing 2012. pdf.
  • 10Big Data Across the Federal Government [EB/OL]. [2012-10-02]. http://www, whitehouse, gov/sites/default/ files/microsites/ostp/big_data fact sheet_final_ 1. pdf.

共引文献2422

同被引文献5

引证文献1

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