Please use this identifier to cite or link to this item:
標題: Combined Stochastic Process and Value at Risk: A Real-World Information System Decision Case
作者: Liang-Chuan Wu 
Liang-Hong Wu 
Fan-Yun Pai 
關鍵字: information system;stochastic process;uncertainty;value at risk (VaR)
In this study, we used a combined stochastic process and value-at-risk (VaR) method to examine an electronic commerce expansion decision. By modeling uncertain benefits as a stochastic process, maximum losses of alternative decisions were quantified and compared to help managers to make information system/information technology (IS/IT) project decisions. Our results, based on the maximum loss perspective, demonstrated that uncertainty plays a critical role in evaluating IS/IT projects. More importantly, the results illustrate that VaR serves as a useful tool in decision-making for managers to quantify the value of maximum possible loss and to help them reach decisions.
Appears in Collections:科技管理研究所

Files in This Item:
File Description SizeFormat
694.pdf5.46 MBAdobe PDFView/Open
Show full item record

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.