This research aims to understand how the interactions across several social networks influence the visibility of a luxury brand's most relevant social network which acts as a showcase (Instagram). A data mining approach is proposed for modeling the number of likes on Instagram using 365 posts...

Twitter, as the most popular microblog has unquestionable viral impact. It presents what's going on in the world by users posts and reposts and it's became more than just a social network. Individuals, companies, organisations, even governments use Twitter on daily bases and get different kind...

We study a consumer boycott on cottage cheese that was organized in Israel on Facebook in the summer of 2011 following a steep increase in prices after price controls were lifted in 2006. The boycott led to an immediate decline in prices which stayed low more than three years after the boycott....

Die Autoren untersuchen im vorliegenden Artikel den Einfluss der zunehmenden Nutzung von Social Media auf das Personalmanagement. Dabei liegt der Fokus vor allem auf dem Bereich Employer Branding, weil die Veränderungen des Medienkonsums und Kommunikationsverhalten, die durch die Nutzung von...

The rise of social media is causing challenges for brand managers of premium manufacturers in the fast moving consumer goods industry. Social Media platforms as innovative and open communication channels have to be integrated in the established media mix while preventing the damage of the...

Die Video-Plattform Youtube ist eine der meistbesuchten Webseiten weltweit. Youtube-Stars erreichen mit ihren Videos große Zuschauergruppen und können als Multiplikatoren für Werbebotschaften dienen. Sie sind oftmals Meinungsführer, denen hohes Vertrauen entgegengebracht wird, weshalb sie...

When evaluating the significance of calendar effects, such as those associated with Monday and January, it is necessary to control for all possible calendar effects to avoid spurious results. The downside of having to control for a large number of possible calendar effects is that it diminish...

Stock picking is the field of financial analysis that is of particular interest for many professional investors and researchers. In this study stock picking is implemented via binary classification trees. Optimal tree size is believed to be the crucial factor in forecasting performance of the...

Data sets from car insurance companies often have a high-dimensional complex dependency structure. The use of classical statistical methods such as generalized linear models or Tweedie?s compound Poisson model can yield problems in this case. Christmann (2004) proposed a general approach to...