期刊文献+

企业官方微博特征及营销行为研究 被引量:7

Enterprise's Official Micro- blogs: Its User Characteristics and Marketing Behaviors
下载PDF
导出
摘要 选取30家著名企业的官方微博作为研究对象,研究了企业官方微博的帐号特征和行为特征;考察了用户的响应行为和信息传播规律;最后建立了影响力扩散回归模型。研究表明:企业微博具有显著的明星微博特征,活跃度较高,但微博质量不够理想,信息衰亡速度快;影响力扩散能力受到微博质量和现有粉丝响应状态的影响。 Selecting the official micro-blogs of 30 famous enterprises as an example, this paper analyzed the characteristics and behaviors of them. After exploring the rules for user response and information dissemination, a regression model to measure the influence expanding ability was then established. The results show that the micro-blogs of enterprises are active, having the same features as celebrity micro- blogs, but the quality of their blogs is not good enough, the information decline rate is fast, and the influence expanding ability is affected by the quality of blog information and the response state of existing fans.
出处 《情报杂志》 CSSCI 北大核心 2013年第9期34-38,56,共6页 Journal of Intelligence
关键词 微博 企业营销 信息传播 回归分析 micro-blog business marketing information dissemination regression analysis
  • 相关文献

参考文献6

二级参考文献57

  • 1丁楠,潘有能.h指数和g指数评价实证研究——基于CSSCI的统计分析[J].图书与情报,2008(2):001-004. 被引量:32
  • 2饶佳宁.电子商务对企业传统营销方式的影响探析[J].市场周刊,2003,16(7):38-39. 被引量:4
  • 3郑娜.微博营销:我们如何围好这条“围脖”?[J].中国商界,2010(2):165-165. 被引量:51
  • 4新浪科技.加拿大媒体分析机构剖析Twitter.[2009-12-20].http://tech.sina.com.cn/i/2009-06-12/16233175010_2.shtml.
  • 5唐·舒尔茨,田纳本,劳特朋.整合营销传播[M].吴怡国,等译.北京:中国物价出版社,2002.
  • 6S.Yardi,D.Boyd.Dynamic Debates:An Analysis of Group Po-larization Over Time on Twitter[J].Bulletin of Science,Tech-nology&Society,2010(10)
  • 7张庆利等.SPSS宝典:第二版[M].北京:电子工业出版社,2011:239-241
  • 8张丹.基于Web挖掘技术的SNS社会网络研究[D].成都:四川大学,2010
  • 9JAVA A, SONG Xiaodan, FININ T, et al. Why we twitter: understanding microblogging usage and communities [EB/OL]. [2011-02-23]. http://aisl, umbc. edu/resources/369, pdf.
  • 10KRISHNAMURTHY B, GILL P, ARLITT M. A few chirps about twitter [ EB/OL ]. [ 2011-02-03 ]. http:// www2. research, att. com/- bala/papers/twit, pdf.

共引文献225

同被引文献98

  • 1黄扬略,张婷.党报微博被关注程度影响因素最优尺度回归分析——以三家党报的新浪法人微博为例[J].湖北社会科学,2014(9):186-189. 被引量:3
  • 2戴劲松,刘婵.大学排行榜“生死门槛”[J].瞭望,2006(34):33-34. 被引量:3
  • 3DCCI互联网数据中心.2012中国微博蓝皮书[EB/OL].http://wenku, baidu, com/view/72166blgcc79316765ce1572, html.
  • 4曹恬,周丽,张国煊.一种基于词共现的文本相似度计算[J].计算机工程与科学,2007,29(3):52-53. 被引量:14
  • 5百度百科.企业微博[EB/OL][2014-05-12]http://baike.baidu.com/view/4611266htm?fr=aladdin.
  • 6Miller J, Stocker A. Enterprise microblogging for advanced knowledge sharing: The references@BT case study[J]. Journal of Universal Computer Science,2011,17(4) :532-547.
  • 7Barnes S, B6hringer M. Modeling use continuance behavior in microblogging services: The case of twitter[J]. Jour- nal of Computer Information Systems, 2011, 5 1 (4) : 1- 1 0.
  • 8SchSndienst V, Krasnova H,GiJnther O,et al. Micro-BIogging adoption in the enterprise: An empirical analysis[C]// Proceedings of 10th International Conference on Wirtschaftsinformatik. Zurich, Switzerland, 2011 :93 1-940.
  • 9DinK如意淘&猎云网:数据解读各大B2C电子商务用户数据[EB/OL].中国互联网数据资讯中心[2014-05-12].http://www.199it.com/archives/109189.html.
  • 10苏秦.淘宝及天猫网购消费者特征及行为分析[EB/OL].[2014-05-12].http://classroom.eguan.cn/dingwei_147761.html.

引证文献7

二级引证文献28

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