Refine
Document Type
- Report (3)
Has Fulltext
- yes (3)
Is part of the Bibliography
- no (3)
Keywords
- Mobile Telekommunikation / Electronic Commerce (3) (remove)
Institute
In this paper, I examine the potential of mobile alerting services empowering investors to react quickly to critical market events. Therefore, an analysis of short-term (intraday) price effects is performed. I find abnormal returns to company announcements which are completed within a timeframe of minutes. To make use of these findings, these price effects are predicted using pre-defined external metrics and different estimation methodologies. Compared to previous research, the results provide support that artificial neural networks and multiple linear regression are good estimation models for forecasting price effects also on an intraday basis. As most of the price effect magnitude and effect delay can be estimated correctly, it is demonstrated how a suitable mobile alerting service combining a low level of user-intrusiveness and timely information supply can be designed.
Multiplayer games have become very popular in the PC market. Almost none of the current games are shipped without some support for multiplayer gaming. At the same time mobile devices are becoming more powerful and popularity of games on these platforms increases. However, there are almost no games that support multiplayer gaming despite the multiple options of these devices to connect with each other and build mobile ad hoc networks. Reasons for this lack of multiplayer support are the high diversity of mobile devices as well as the different protocols and their properties that these devices support. With “SmartBlaster” we developed a multiplayer game for several different platforms that is using several different channels (Bluetooth, IrDa, 802.11 and other networks supporting TCP/IP) to communicate between them.
Diese Studie untersuchte die relevanten Eigenschaften von Location-based Services, welche von prospektiven Nutzern erwartet werden, um mit der Nutzung dieser neuen Dienste zu beginnen. Dabei modellieren wir die Einflußfaktoren nach der Theorie der Diffusion von Innovationen und überprüfen diese durch eine empirische Befragung. Die Ergebnisse sind im folgenden Text dargestellt. Die wesentlichen Ergebnisse waren: • Die individuelle Nützlichkeit eines Angebots ist der stärkste Einflußfaktor auf die Adoption. • Überzeugende Datenschutzkonzepte stehen an zweiter Stelle. • Benutzerergonomie bei der Dienstenutzung sowie die leichte Verständlichkeit und Kommunizierbarkeit der Dienste und ihrer Anwendung sind wesentlich. Eine Einführung in die Diffusionstheorie und weitere Details zur Studie finden Sie im Text.