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|標題:||Combined Stochastic Process and Value at Risk: A Real-World Information System Decision Case||作者:||Liang-Chuan Wu
|關鍵字:||information system;stochastic process;uncertainty;value at risk (VaR)||摘要:||
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|
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