知識經濟來臨的時代,專利、品牌、Know-How、技術移轉與經營策略為無形資產發展導向,台灣產業逐步由強調生產製程導向知識品牌、服務為主的新型產業模式,未來智財權的鑑價與交易的促成,儼然為重造經濟發展課題。但無形資產之鑑價機制,因涉及買賣雙方不同利益衝突與立場的合作與對立,降低技術交易訊息不透明性,便成為重要的一環。本研究的動機是希望藉著案例探討,把鑑價時的參數情境假設差異,所造成的價值差異,作一分析。本研究發現影響Palepu、Healy and Bernard(2004)提出收益法中(1)DCF to equity (2)DCF to debt and equity (3)Abnormal earnings (4)Abnormal NOPAT等四種現金流量評價方法之參數,以營收與資產負債表變數的比例關係與CV成 長性g等,為造成鑑價差異的主要因素。
With the era of knowledge economy coming , the valuation for intangible assets becomes more and more critical .But due to the asymmetry of information in the market , there still are some issues to resolve in the valuation for intangible assets . The thesis collects some practical cases in the valuation for intangible assets , assessing the intangible assets in the cases by using revenues methods such as DCF to equity ,DCF to debt and equity ,Abnormal earnings and Abnormal NOPAT . The thesis suggests that the scenario analyzing of parameters and the assumptions between sales and items in balance sheet play key role in the valuation model . And in the case of Amazon.com , the thesis suggests that the revenue method performs better than market method.