Systems development in information systems research
Journal of Management Information Systems - Special issue on management support systems
Design and natural science research on information technology
Decision Support Systems - Special issue on WITS '92
The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Web-based customer decision support systems
Communications of the ACM
Evaluation of a decision support system for credit management decisions
Decision Support Systems
Web-enabled transformation of the brokerage industry
Communications of the ACM - Evolving data mining into solutions for insights
Decision Support Systems and Intelligent Systems
Decision Support Systems and Intelligent Systems
Past, present, and future of decision support technology
Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
Information Systems Research
Information Systems Research
Payments and banking with mobile personal devices
Communications of the ACM - Wireless networking security
HICSS '97 Proceedings of the 30th Hawaii International Conference on System Sciences: Information System Track-Organizational Systems and Technology - Volume 3
Communications of the ACM - New architectures for financial services
A Mobile Emergency Triage Decision Support System Evaluation
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 05
Discovering potential and realizing value from information technology investments
Journal of Management Information Systems - Special issue: Impacts of information technology investment on organizational performance
Preface: Mobile commerce: Strategies, technologies, and applications
Decision Support Systems
Mobile commerce integrated with RFID technology in a container depot
Decision Support Systems
Design science in information systems research
MIS Quarterly
Giving context to accounting numbers: The role of news coverage
Decision Support Systems
Assessing the perception of information components in financial decision support systems
Decision Support Systems
POCKET: A tool for protecting children's privacy online
Decision Support Systems
Seeking constructive synergy: design science and the constructive research approach
DESRIST'13 Proceedings of the 8th international conference on Design Science at the Intersection of Physical and Virtual Design
A decision support system for stock investment recommendations using collective wisdom
Decision Support Systems
A decision support system for public logistics information service management and optimization
Decision Support Systems
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This paper introduces an IT artifact called MoFiNDSS that comprises hard- and software components that provide the basis for a prototype of a financial decision support system (DSS) to support individual investors reacting to unforeseen market events. We have derived our motivation for building such a system design from behavioral finance research. Analyses of the behavior of individual investors provide evidence that this segment does react more significantly to any public news published compared to institutional investors. On the other hand, the analyses show that they react significantly slower than their institutional counterparts. Since empirical intraday event study analyses show that capital markets react promptly to new information and that excess returns decrease over a specific period of time, individual investors miss significant trading opportunities due to their current strategies of information research. We address the problem that this market segment is not able to continuously observe diverse information channels and to assess all the new information available. Our prototype decision support system continuously observes company announcements and forecasts their potential impact on the corresponding stock price. After identifying those events for which significant market reactions can be expected, wireless push-based message services provide the technical basis for prompt and location-independent information supply. Based on a novel simulation-based evaluation methodology we have developed, we demonstrate and quantify the advantages that the developed system provides to the individual investors.