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A methodology for uncertainty quantification in quantitative technology valuation based on expert elicitationAkram, Muhammad Farooq 28 March 2012 (has links)
The management of technology portfolios is an important element of aerospace system design. New technologies are often applied to new product designs to ensure their competitiveness at the time they are introduced to market. The future performance of yet-to-be designed components is inherently uncertain, necessitating subject matter expert knowledge, statistical methods and financial forecasting. Estimates of the appropriate parameter settings often come from disciplinary experts, who may disagree with each other because of varying experience and background. Due to inherent uncertain nature of expert elicitation in technology valuation process, appropriate uncertainty quantification and propagation is very critical. The uncertainty in defining the impact of an input on performance parameters of a system, make it difficult to use traditional probability theory. Often the available information is not enough to assign the appropriate probability distributions to uncertain inputs. Another problem faced during technology elicitation pertains to technology interactions in a portfolio. When multiple technologies are applied simultaneously on a system, often their cumulative impact is non-linear. Current methods assume that technologies are either incompatible or linearly independent.
It is observed that in case of lack of knowledge about the problem, epistemic uncertainty is most suitable representation of the process. It reduces the number of assumptions during the elicitation process, when experts are forced to assign probability distributions to their opinions without sufficient knowledge. Epistemic uncertainty can be quantified by many techniques. In present research it is proposed that interval analysis and Dempster-Shafer theory of evidence are better suited for quantification of epistemic uncertainty in technology valuation process. Proposed technique seeks to offset some of the problems faced by using deterministic or traditional probabilistic approaches for uncertainty propagation. Non-linear behavior in technology interactions is captured through expert elicitation based technology synergy matrices (TSM). Proposed TSMs increase the fidelity of current technology forecasting methods by including higher order technology interactions.
A test case for quantification of epistemic uncertainty on a large scale problem of combined cycle power generation system was selected. A detailed multidisciplinary modeling and simulation environment was adopted for this problem. Results have shown that evidence theory based technique provides more insight on the uncertainties arising from incomplete information or lack of knowledge as compared to deterministic or probability theory methods. Margin analysis was also carried out for both the techniques. A detailed description of TSMs and their usage in conjunction with technology impact matrices and technology compatibility matrices is discussed. Various combination methods are also proposed for higher order interactions, which can be applied according to the expert opinion or historical data. The introduction of technology synergy matrix enabled capturing the higher order technology interactions, and improvement in predicted system performance.
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無形資產中技術價值「影響因素與評估模式」之研究─以「資訊科技相關技術」為例 / The Research on Essential Valuation Factors and Valuation Model of Technology─Case Study of Information Technology張孟元, Mong-Yuan Chang Unknown Date (has links)
本研究透過理論與實證調查,探討進行技術交易時影響價值評量的「關鍵指標」與技術價值的「評估模式」。此價值評估指標可以協助於技術評價時,建立客觀及公正的一致性標準,降低社會成本、提昇無形資產的價值及運用度。本研究所建立「市場基準的評價理論」,將技術價值評量模式分為三個價值構面:(1)商業價值,以市場機制為本評估新技術進入價值高低,由市場結構與規模、市場預期遠景與接受度、市場擴散能力與促銷三項結構指標組成。(2) 技術價值:由技術競爭與創新能力、技術支援能力與風險、技術應用程度及基礎科學能力等結構指標組成。(3)技術策略(智財權應用)價值:產權策略、產品信用及有利條款、交互授權條件等結構指標組成。
本研究結論「市場總價值的評估模式」,可以評估該項技術技術於全球市場的技術總價值,由技術價值f(T)、技術策略(智財權應用)價值f(IP)、商業價值f(B)所組成。最後,該項技術於全球市場之總價值,將依據技術價值、技術策略價值、商業價值分別與「技術、行銷經費貢獻率」及「市場總體或預測產能」相乘所得 【附件二】。
第壹章 緒論………………………………………………………… 2
第一節 研究背景…………………………………………………….. 2
第二節 研究動機……………………………………………………… 3
第三節 研究目的 ……………………………………………………... 4
第四節 研究案例 ..……………………………………………..……13
第五節 研究程序 ....……………………………………………..…... 13
第貳章 文獻回顧……………………………….……………………. 15
第一節 無形資產的技術價值………………………………………... 15
第二節 無形資產技術價值影響因素………………………………... 25
第三節 無形資產的定價策略及評估模式…………………………... 41
第四節 無形資產技術評價分析………………………………………61
第參章 研究方法與研究模型………….……………………………. 68
第一節 無形資產技術價值影響因素及研究構面……………………68
第二節 技術價值與評量模式…………………………………………80
壹、 成本基準法 ─ 技術價值分析理論…………………………80
貳、 市場基準法 ─ 技術價值評估模式…………………………92
第肆章 技術價值模型─影響因素及指標分析 ..…………………. 97
第一節 研究樣本蒐集 ………………..………………………………97
第二節 研究樣本信度檢定…………………………………………..100
第三節 構念效度檢測 ………………………………………………101
第四節 技術之市場總價值理論驗證 ………………………………113
第伍章 技術價值理論之案例分析………………………………..…119
第一節 全球趨勢分析 ………………..……………………………..119
第二節 市場價值定義 ………………………………………………130
第三節 技術價值分析 ………………………………………………138
一、 Intel 8086/8088技術分析 …………………………………..138
二、 Intel 80286 技術分析 ………………………………………178
三、 Intel 80386 技術分析 ………………………………………205
四、 Intel 80486 技術分析 ………………………………………237
五、 Intel Pentium技術分析………………………………………268
六、 Intel技術生命週期之總體價值評估………………………..303
第陸章 結論與建議
第一節 研究結論 ……………………………………………………310
第二節 研究理論之貢獻 ……………………………………………313
第三節 研究於管理上意涵 …………………………………………315
參考文獻 ……………………………………………………………316
附 錄 一……………………………………………………………329
國內外技術評價相關主題博碩士論文文獻表
附 錄 二……………………………………………………………330
市場基準法─技術評價模式(Market-Based Valuation Model) / Through theoretical and empirical studies, this research focuses primarily on the essential valuation indicator and valuation model of technology. The purpose is to eliminate the discrepancy distraction and obtain an most accurate and fair result. The market-based valuation model has based on three values: (1) Business Value─market structure & size, market drawing & acceptance, market expansion & promotion. (2) Technology Value─technology innovation & competition, technology assistance capability & risk, technology implementation & science base capability. (3) Technology Strategy Value─property rights & product creditability & favorable condition, crossing licensing condition.
This research concludes that, in order to evaluate the value of technology, one needs to look into the essentiality of technology value f(T), technology strategy value f(IP), and business value f(B) of world-wide market. Finally, the total market value of technology is evaluated by the product of each technique value, technique strategy value, business value multiplied by “research and marketing of benefit contribution ratio” and “real or forecast market capacity” .
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Smart City objekty a jejich oceňování / Smart City Buildings and their ValuationUheríková, Eliška January 2017 (has links)
The diploma thesis focuses on specification of standard type buildings and Smart City buildings differences. Thesis also contain a history part of individual buildings category, including their specification. The aim of thesis is to determine designs for changes of building valuation in Smart City standard. Theoretical part contains basic definition and limitation of terms from civil engineering branch and structural types, summary of historical development of houses and evaluation by cost method, most common used experience. Practical part is focused on calculation. According real houses cost of three detached houses in Smart standard, there are calculated new price ratio which enter into cost method valuation. Their effectiveness is verified together with newly design adaptation of cost method valuation on next five detached houses in Smart standard.
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我國智慧財產技術服務業之研究 - 以鑑價與仲介業者為例 / An Exploratory Study on the Intellectual Property and Technology Service Industry in Taiwan: The Case Study on the Valuation and Technology Transfer Sectors.葉程瑋, Yeh , Chenwei Unknown Date (has links)
在現今知識經濟競爭時代中,新興科技企業不斷地衍生成立,每家企業的技術能量更加地深化與專業化,但企業的技術光譜卻相對變窄許多。因此,企業在面對日益劇烈的產業競爭以及急遽被壓縮的產品生命週期時,能否迅速且確實的取得新技術或是互補技術,以便順利進行「新產品開發」,進而及早推出產品與服務於市場上(time to market),將是決定企業生存的重要課題。
然而,技術供給來源散佈在世界各地的研究機構、大學、與企業之中,如何降低企業搜尋其所需技術的成本,提昇整個經濟體的技術媒合效率,也將是知識經濟時代決定經濟體競爭力的關鍵因素。
再者,知識經濟時代的產業結構大幅轉變:企業從原本重視土地、廠房、生產設備等固定資產價值,轉而追求以知識為基礎的「無形資產」(包含法律所保護的智慧財產權,以及其他如:品牌、商譽、供應鏈或客戶關係管理能力、行銷能力等)。但是,此種發展亦帶來新的挑戰,就是傳統的有形資產評價標準並無法適用於此種無形的智慧資產,如何對知識型產業所重視的「無形資產」進行客觀的評價,乃成為發展知識經濟的另一個關鍵因素。
本研究係以策略性思考(範疇、網路、資源)的角度切入,參照國外知名智慧財產技術服務業者的營運成功特性,並藉由廣泛的次級資料、文獻收集,與多重個案、深度訪談的方式,來審視我國智慧財產技術服務業(以鑑價與技術仲介業者為例)的營運現況,進而對業者提出在經營管理上可行之建議,同時也作為我國政府推動智慧財產技術服務業之政策發展上的參考依據。
本研究所得之研究發現如下:(節錄)
一, 我國無形資產鑑價產業的市場需求持續增加,連帶使得鑑價服務業者的投入意願與服務經驗、能力不斷的向上提升;反觀技術仲介產業因為市場需求還不明顯,因此降低了仲介服務業者的投入意願,技術仲介產業發展因而較為緩慢。
二, 我國智慧財產技術服務業者之策略聯盟情形十分普遍,對於技術事業化的相關活動,如:營運計畫撰寫、協助尋找技術、商品開發、市場分析、投資評估、尋找投資資金、行銷管道……等,皆能透過與策略伙伴的合作搭配,提供全面性的智慧財產技術服務。
三, 我國智慧財產技術服務業之從業人員,具有多重背景(科技、法律、管理)的人才仍然不足;此外,目前政府對於無形資產鑑價與仲介機構仍然無法令可管,對於從業人員的資格也不加限制,使得無形資產「鑑價」與「仲介」服務業者呈現參差不齊的現象,嚴重影響公信力。
四, 無形資產融資貸款的關鍵瓶頸在於:1.「無形資產擔保品後續處置問題(如何再出售?)」。 2.「鑑價機構之公信力(不知如何評鑑鑑價報告?)」 3.無形資產融資貸款者的還款計畫(貸款人需提出完整且可行的營運計畫書,清楚說明現金流量與發生時機)。
五, 我國智慧財產技術服務業之政府主管機關過於分散,加上各部會的溝通、協調缺乏效率,導致政策、法令決策緩慢,使業者無所適從。
由以上各點研究發現,本研究提出幾項建議,如下所示:(節錄)
一, 政府應多加鼓勵產業界運用智慧財產技術服務(尤其是技術仲介服務),進而創造與增進市場需求。
二, 智慧財產技術服務業者應加強與策略伙伴的連結。(尤其是創投,投資顧問公司)。
三, 智慧財產技術服務產業中,老字號的服務業者應考量:如何增加與客戶之間的「專屬陷入成本」,以確保客戶與之建立長期且緊密的合作關係。而新進入的服務業者,則應考量如何降低顧客的「外顯單位效益成本」、「資訊搜尋成本」與「道德危機成本」。
四, 政府應多方釋出委託專案計畫,以協助智慧財產技術服務業者成長。同時政府也應儘速訂定智慧財產技術服務相關的法令、補助措施,促進智慧財產技術服務業的發展。
五, 智慧財產技術服務業之相關政府負責單位過於龐雜,應由較高位階的部會,統籌設立單一窗口,以解決政府跨部門之間的溝通不良與無效率。 / As new technological companies sprang up in this knowledge economies era, technological capacity of a company is getting deeper and more professional. Technological scope, however, becomes narrower. Therefore, it is an important issue for companies to survive that if it can quickly and accurately acquire new or complementary technology to develop new products when face to rigorous competition and shortened product life cycle so that they can smoothly launch products and service time to market.
Nevertheless, sources of technology supply spread in research institutions, universities, and companies. How to reduce costs in sourcing required technology and improve the efficiency of technology transaction is one of the key factors to decide the competitiveness of an economy.
Moreover, industrial structure has been changed a lot in this knowledge management era: companies turn to seek intangible assets instead of fixed assets. The former includes law protected intellectual properties, brand, good will, supply chain, abilities of customer relationships, and marketing, which are based on knowledge. The later includes lands, plants, and equipments. However, this kind of development brings new challenges. Traditional valuation method of tangible assets can not be applied to intangible intellectual properties. How to objectively valuate intangible assets focused by knowledge based industries is another key factor to develop knowledge management.
This study is based on strategic points of view (scope, network, and sources), refer to characters of operational success of famous international intellectual property and technology service industry. Rather, this study examine the intellectual property and technology service industry in Taiwan (the case study on the valuation and technology transfer sectors) by secondary information gathering, literature collection, and several case studies and deeply interviews. Further, I propose feasible recommendations on operation and management. Meanwhile, this study could be one of references when our government forms policies to improve intellectual property and technology service industry.
The findings of this study are shown as follow: (extracted)
1. The demand of valuation of intangible assets in Taiwan is continuously increasing, resulting in the increase of input willingness, service experience, and abilities of valuation service industry. On the other hand, the demand of technology transfer is not obvious, which lower the input willingness. Therefore, the development of technology transfer industry is slower.
2. It is quite popular for Taiwanese intellectual property and technology service companies to have alliance with other companies. By the corporation with alliance companies, one company can provide total intellectual property and technology service, such as business plan writing, new technology searching assistance, product developing, market analysis, investment evaluation, fund raising, marketing channel, and so on.
3. There are insufficient professionals with muti-background, such as with technology, low, and management, in Taiwanese intellectual property and technology service industry. Rather, no regulation could be applied to Taiwanese intellectual property and technology service industry. There is no criterion to judge professionals’ qualification, which makes valuation and technology transfer sectors uneven, seriously affect power of fairness.
4. The bottlenecks of intangible asset financing are: (1) how to deal with intangible asset collaterals (how to resell them?) (2) fairness of the valuation institution (how to valuate a valuation report?) (3) repayment plan of intangible asset loans (borrowers have to propose a complete and feasible business plan, clearly describing the time and the amount of cash flows)
5. The regulators of Taiwanese intellectual property and technology service industry are too diversified. Moreover, because of the lack of communication and efficiency among regulators, policies are made in a delay mode. Companies do not exactly know what to follow.
Based on the findings above, I propose some recommendations as follow: (extracted)
1. The government should encourage industry to use intellectual property and technology service, especially technology transfer service. It could then create and increase market demand.
2. Companies in the intellectual property and technology service industry should improve connection with alliances, especially with venture capital and investment consulting firms.
3. The old companies in the intellectual property and technology service industry should consider: how to increase cost of Hold-up of customers, in order to ensure that they can establish a long-term and closely cooperative relationship with customers. New entry service providers should consider how to increase the benefit, and reduce information searching costs and moral hazard costs of their customers.
4. The government should release government’s funding projects to assist intellectual property and technology service industry developing. At the mean time, the government should set laws and subsidization policies related to intellectual property and technology service industry, improving the development of intellectual property and technology service industry.
5. Regulators in charge of intellectual property and technology service industry are too many to follow. Single window should be set by higher governmental department to resolve the poor communication and inefficiency among governmental departments.
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