摘要:
| |||
文章导读 | |||
摘要该文针对企业微博的口碑传播,基于口碑营销理论和产品类型研究,对企业微博转发数的影响因素进行研究,建立了企业微博的口碑传播模型。企业微博的转发数受到粉丝数和产品类型的影响。通过抓取新浪企业微博的实际运营数据,运用面板数据模型对模型的系数进行了估计。研究结果表明: 企业微博的转发数受到粉丝数和新增粉丝数的影响; 并存在正的自相关,即前一天的转发数会正向影响后一天的转发数; 产品类型对企业微博的转发数有显著的影响,提供体验型产品的企业转发数高于提供搜索型产品企业的转发数。 | |||
关键词 :企业微博,口碑传播,转发,产品类型 | |||
Abstract:Information about a company' micro-blog is often spread by word-of-mouth. This paper uses a company micro-blog word-of-mouth model to analyze the factors affecting the number of retweets of a micro-blog, based on word-of-mouth marketing theory and a product type model. The number of retweets of a company micro-blog information is affected by the number of fans and the product type. This study uses crawled data of a company micro-blog to estimate the correlation coefficients using a panel data model. This study shows that not only do the number of fans and the increasing number of an enterprise micro-blogs influence the number of retweets, but they also have positive autocorrelation. The product type also influences the number of retweets, with greater influence for products the user has personally used than for products seen in searches. | |||
Key words:company micro-blogword-of-mouthretweetsproduct type | |||
收稿日期: 2012-10-29 出版日期: 2015-09-03 | |||
| |||
基金资助:国家自然科学基金资助项目(71272028);教育部人文社科重点研究基地重大项目(13JJD630008) |
引用本文: |
张晶, 黄京华, 黎波, 严威. 新浪企业微博口碑传播的实证研究[J]. 清华大学学报(自然科学版), 2014, 54(5): 649-654. Jing ZHANG, Jinghua HUANG, Bo LI, Wei YAN. Empirical research on enterprise micro-blogs' word-of-mouth of Sina Weibo. Journal of Tsinghua University(Science and Technology), 2014, 54(5): 649-654. |
链接本文: |
http://jst.tsinghuajournals.com/CN/或 http://jst.tsinghuajournals.com/CN/Y2014/V54/I5/649 |
图表:
参考文献:
[1] | Burton S, Soboleva A. Interactive or reactive? Marketing with Twitter[J]. Journal of Consumer Marketing, 2011, 28(7): 491-499. |
[2] | Malhotra A, Malhotra C K, See A. How to get your messages retweeted [J]. MIT Sloan Management Review, 2012, 53(2): 61-66. |
[3] | 金永生, 王睿, 陈祥兵. 企业微博营销效果和粉丝数量的短期互动模型[J]. 管理科学, 2011, 24(4): 71-83. JIN Yongsheng, WANG Rui, CHEN Xiangbing. The short-term interaction model of enterprise micro-blog and the number of fans[J]. Management Science, 2011, 24(4): 71-83. (in Chinese) |
[4] | Godes D, Mayzlin D. Using online conversations to study word-of-mouth communication[J]. Marketing Science, 2004, 23(4): 545-560. |
[5] | Duan W, Gu B, Whinston A B. Do online reviews matter? An empirical investigation of panel data[J]. Decision Support Systems, 2008, 45(4): 1007-1016. |
[6] | Trusov M, BucklinR E, Pauwels K. Effects of word-of-mouth versus traditional marketing: Findings from an internet social networking site[J]. Journal of Marketing, 2009, 73(5): 90-102. |
[7] | Lin Z, Goh K Y. Measuring the business value of online social media content for marketers [C]// Proceedings of the Thirty Second International Conference on Information Systems. Shanghai: Association for Information Systems, 2011. |
[8] | Nelson P. Advertising as information[J].Journal of Political Economy, 1974, 82(4): 729-754. |
[9] | Nelson P. Information and customer behavior[J].Journal of Political Economy, 1970, 78(2): 311-329. |
[10] | Huang P, Lurie N H, Mitra S. Searching for experience on the web: An empirical examination of consumer behavior for search and experience goods[J]. Journal of Marketing, 2009, 73(2): 55-69. |
[11] | Nair H S, Manchanda P, Bhatia T. Asymmetric social interactions in physician prescription behavior: The role of opinion leaders[J]. Journal of Marketing Research, 2010, 47(5): 883-895. |
[12] | 陈强. 高级计量经济学及Stata应用 [M]. 北京: 高等教育出版社, 2010: 312-337. CHEN Qiang. Advanced Econometrics and Stata Applications [M]. Beijing: Higher Education Press, 2010: 312-337. (in Chinese) |
相关文章:
|