DocumentCode
2962015
Title
Exploring microblog marketing in travelling websites: A Latent Dirichlet Allocation model based approach
Author
Guo Shan-shan ; Qian Guo-ming ; Guo Xi-tong
Author_Institution
Sch. of Manage., Harbin Inst. of Technol., Harbin, China
fYear
2013
fDate
17-19 July 2013
Firstpage
100
Lastpage
106
Abstract
Drawing on the qualitative and quantitative data analyses on the microblog content of ten travelling website enterprises on the Sina microblog site, this study exhibits the state of microblog marketing adopted by travelling websites in China. The current performance of travelling websites using microblogs marketing and a model to describe how the topics of microblogs´ content were stated and developed by this study. The empirical findings show travelling websites are good at microblog marketing, but they should pay more attention to attract more verified followers and to keep followers active. Moreover, the regression results show that blog content about promotion and travel guide will have acceleration on the effectiveness of microblog marketing. More interaction with followers is needed by travelling websites´ microblogs.
Keywords
Web sites; data analysis; marketing data processing; promotion (marketing); regression analysis; travel industry; Chinese travelling Web sites; Sina microblog site; latent Dirichlet allocation model-based approach; microblog content; microblog marketing effectiveness; promotion; qualitative data analysis; quantitative data analysis; regression results; travel guide; travelling Web site enterprise; travelling Web site performance; Blogs; Data mining; Data models; Industries; Internet; Media; Statistical analysis; LDA model; microblog marketing; microblog marketing effectiveness; travelling websites;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science and Engineering (ICMSE), 2013 International Conference on
Conference_Location
Harbin
ISSN
2155-1847
Print_ISBN
978-1-4799-0473-0
Type
conf
DOI
10.1109/ICMSE.2013.6586268
Filename
6586268
Link To Document