• DocumentCode
    126946
  • Title

    Research on microblogging original posts release behavior based on panel data of mobile applications

  • Author

    Liang Sai ; Sun Wen-jun

  • Author_Institution
    Sch. of Manage., Harbin Inst. of Technol., Harbin, China
  • fYear
    2014
  • fDate
    17-19 Aug. 2014
  • Firstpage
    43
  • Lastpage
    49
  • Abstract
    As a combination of traditional word-of-mouth (WOM) and electronic WOM, microblogging obsesses both the real-timeness of the former and the capability of the latter to reach large audiences. However, the data used in previous studies of MWOM might easily cause biased results due to low microblogging activity level and few original posts in China´s microblogging community. In this study, we proposed a few hypotheses on factors that could influence the posting behavior of original microblogs. These hypotheses are checked against the panel data collected from China´s mobile applications e-commerce websites and related microblogs on Sina Microblog. Our study shows that both the sales volume of a mobile application and the influence of related existing original microblog posts have positive impacts on the number of original posts. It is also shown that the original microblog posting behavior is an example of the herd instinct.
  • Keywords
    electronic commerce; mobile computing; natural language processing; social networking (online); China´s microblogging community; China´s mobile applications; MWOM; Sina microblogs; e-commerce Web sites; electronic WOM; herd instinct; microblogging activity level; microblogging original post release behavior; panel data; real-timeness; traditional word-of-mouth; Androids; Humanoid robots; Internet; Mathematical model; Media; Mobile communication; Mouth; herd instinct; microblogging activity; microblogging word of mouth; original posts;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science & Engineering (ICMSE), 2014 International Conference on
  • Conference_Location
    Helsinki
  • Print_ISBN
    978-1-4799-5375-2
  • Type

    conf

  • DOI
    10.1109/ICMSE.2014.6930206
  • Filename
    6930206