運用Fuzzy AHP法探討終端應用評選模式之研究－台灣半導體產業之學研觀點 ; Use Fuzzy AHP to discuss and elect the optimum end-production in Taiwan IC industry - Base on View of Academic & Research

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题名:	運用Fuzzy AHP法探討終端應用評選模式之研究－台灣半導體產業之學研觀點;Use Fuzzy AHP to discuss and elect the optimum end-production in Taiwan IC industry - Base on View of Academic & Research
作者:	楊昆岳;Kun-Yueh Yang
贡献者:	企業管理研究所
关键词:	技術地圖;半導體產業;資源基礎觀點;模糊層級分析法;Resource-Based View;IC;Fuzzy Analytic Hierarchy Process;Technology Roadmapping
日期:	2011-07-01
上传时间:	2012-01-05 15:06:27 (UTC+8)
摘要:	台灣半導體產業下游應用領域由於集中度過於偏高，並且仍屬於低價值區段的產業；即使是目前應用率最高之3C領域，仍受限於因同質性高、易受全球景氣波動影響等缺點，使得台灣半導體產業未來的發展隱藏著極高的不確定性且難有穩定成長。此外，全球半導體業者在技術研發與客戶服務上亦多已朝向異質技術、整合技術與軟硬體整合服務方向發展；在此產業情境下，我國半導體產業勢必要不斷更新現有的技術資源與開發新的產品應用來保持競爭力與企業成長。然而，在有限的資源前提下，如何選擇具發展價值的產品應用並同時填補發展時可能遭遇的技術缺口，將成為國家與企業必須處理之重要議題。過去去研究中，由於各項議題評選方案之產業態勢與市場競爭程度不同，通常建議需藉由多準則決策中的模糊層級分析法(Fuzzy Analytic Hierarchy Process, FAHP)歸納結論。然而，過去的評估觀點大多集中在產業界的產品開發角度，較偏重於短期上技術應用之導向，忽略以基礎性研究為基礎的學/研界之觀點，故而容易排除建立產業長期性競爭優勢所需要的基礎研發或上游技術。因此，本研究為彌補此一缺口，除以過往文獻為建立評選架構為基礎外，並透過學、研界等多位專家觀點下之意見做整合，進行半導體產業終端應用評選架構的建立；再透過專家問卷收集自多方意見，以模糊層級分析法整合，尋找出未來具發展潛能的終端應用產品。最後，為了進一步瞭解在此產品領域內之現有技術發展現況與未來技術趨勢，本研究透過技術地圖分析，補抓台灣於發展該具潛力之終端產品時可能的技術缺口，以作為後續開發與建立技術自主時的參考。 Taiwan IC industry as its low added-value is still developing in the industry. The highest market application production is the 3C (computer, communication, consumer electronic production), but 3C still has problems with high homogeneity and being affected with fluctuations in global economy cycle. These weaknesses make IC industry difficult to have a steady growth. In addition, the research of next generation global IC technology is towards to increase Heterogeneous Technology and using Software & Hardware Integration Application Service. In IC industry, most low added-value IC companies rely on updating their technology and developing new end-production application to keep their competition and business growth. Therefore, in limited resource, using which end-production and filling up technical gap will become a decision problem in business and country. In past research production selection used Fuzzy Analytic Hierarchy Process, one of the Multiple Criteria Decision-Making methods, to generalize their conclusion. However, past production developing centralized on business view mostly that placed an emphasis on short-term profitable technology and ignored basic-research view of academic research. Therefore it often excluded sustainable competitive advantage that needs basic R&D . In this paper our selecting structure is based on literature and tries to combine the experts’ opinions who work in developed and academic. By collecting expert Questionnaire and using Fuzzy Analytic Hierarchy Process to generalize their opinion we could find out the optimum end-productionin in IC industry.After understanding optimum end-production, use Technology Roadmapping to get a grip on current technology developing and future technology level of optimum end-production, then build key technical capacity which supports end-production developing.
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