本篇論文共一冊，約二萬餘字，分為五章。第一章為緒論，簡述研究動機，研究目的 ，有關文獻及本文結構。第二章為群狀可靠度數據之最適驗證檢定，以Nelson（ １ ９７７ ）的方法，提出logistic分配未知母數平均數μ的驗證檢定表及局部最強力 檢定統計量ｓ，由本表能設計最適檢查時間，以期獲得最適驗證效果，將檢測之數據 代入ｓ統計量，求得該值即可很快得到產品是否通過驗證檢定的結論。第三章為設限 樣本可靠度數據之最適驗證檢定，提出在固定費用下，單一或多重設限時間及樣本大 小之最適安排。第四章為逐次檢定，提出以群狀測試數據之逐次檢定及其操作特性曲 線，最後第五章為結論及日後研究發展方向。

全球高科技產業面臨劇烈競爭的環境，產品生命週期不斷縮短，面對經營環境險惡所帶來的艱難挑戰，促使企業必須不斷翻新事業經營模式，思考如何與商業夥伴及客戶進行「協同合作」關係，經由共同的知識共享、共通平台建立及組織間的信任，快速建立技能、強化組織功能，進而提昇其競爭優勢及市場佔有率。 企業在產業價值鏈內共同精進所發展的上、中、下游「協同合作」是一般討論較多著墨的，然而面對我國資訊軟體、服務產業的產品繁多、介面錯綜複雜，市場成長受限于彼此的撕殺而無法擴大，如何改變現狀共創多贏的局面? 本文將以行動數據服務產業為範例，探討同業間的創新型「協同合作」模式，換言之亦敵亦友的結盟下，業者如何異中求同、同中求異來強化核心競爭力，在策略性的共有基礎下各自尋找差異利基，並共同創新市場，擴大商機。 我國行動電話用戶，已超過2,200萬，成為另一項「台灣奇蹟」，惟在行動數據的發展，自GSM的WAP、SMS，乃至於2.5G的GPRS、MMS，則是慘澹經營。雖然隨著彩色手機等端末功能的增強，漸有起色，但仍難臻爆炸性成長效果。民國91初，我國於暨有6張GSM執照外，又發出五張3G執照，各家業者亦已先後投入系統建設，將自92年中起陸續開台。惟3G所標榜之高速行動數據服務，實應奠基於暨有GPRS市場環境，而GPRS目前市場未見明朗下，3G數據應用前景，蒙上陰影。行動數據應用，因其先天特質，而形成封閉或半封閉之環境，與Internet起步即為開放環境，顯為兩者最大差異。如何運用協同合作及仿效「財金網路支援系統」同業合作成功模式，來推動行動數據跨網路互聯互通環境之形成，突破瓶頸，從而推動我國行動數據服務應用快速成長，共創Mobile Operator、 Internet 內容提供業者 (Internet Content Provider, 以下簡稱ICP)、 手機廠商、 使用者四贏之新局。提昇行動數據服務產業競爭優勢，再度創造另一項「台灣奇蹟」。 本研究主要分為四個部分， （一) 探討協同合作創新型之商業模式是否可能解決行動數據應用服務發展環境面問題 ; 行動數據服務業者掌握電信相關等應用服務要素，形成封閉型加值服務環境，ICP必須配合，方能提供加值服務，降低產業服務應用面受限制等…是否在創新協同合作下可擴大應用服務，提昇市場佔有率。（二) 研究行動數據服務產業，如何藉由協同合作產生創新型的商業模式，重點多為專業分工、資源互享互補、提供產品及服務多樣化、創造營運綜效與範疇經濟等。(三) 運作模式研究如何運用協同合作在行動數據服務產業之異中求同、 同中有異並存下，找出共利 。(四)探討行動數據服務產業在協同合作模式中，如何避免互相利益矛盾的因子，尋找出共同確認可衡量的指標。(伍)將行動數據服務產業合作推展到一般水平性協同合作。 / Global high-tech industry currently encounters an environment of cut-throat competition, and the product life cycle is shortened continuously. Facing the challenges of severe business environment, enterprises have to keep changing the operating modes, and figure out how to collaborate with business partners and clients. Through knowledge sharing common platform establishment, and mutual trust, to quickly build up skills and strengthen organizational functions, then promote the competition edge and market share. The collaboration of up, middle, and down stream companies developed through industrial value chains by the enterprises is the most discussed. However, due to our nation’s variety of information software and service products, as well as their complicated interfaces, the growth of market is limited by the internal fighting and cannot expand. How to change the current situation and create an all-win solution? This article will use an example of Mobile Internet service industry to investigate the innovative collaboration model among related companies in the industry. In other words, to find out how to strengthen the competitiveness by seeking common ground from differences, while maintaining the uniqueness of businesses, all under a friend-and-foe alliance. It also looks for niches under the strategic common foundation and finds ways to renovate the market and expand the pie. The cell phone users of our nation have topped 22 million, it can be viewed as another Taiwan miracle. But the development of Mobile Internet services, ranging from WAP, SMS of GSM to GPRS, MMS of 2.5G, has been doing poorly. However, with the advancement of color cell phone and other terminal capabilities, it has got some improvement. But still, it cannot enjoy the explosive growth. Since early 2002, Taiwan has granted five 3G licenses. That’s in addition to the 6 GSM licenses she granted before. The companies have also been building the infrastructure and expect to start operation in mid-2003. The high-speed Mobile Internet services that 3G emphasizes are supposed to base on the existing GPRS market environment. However, due to the unclear market conditions of GPRS, the future of 3G Mobile Internet applications is also cloudy. The Mobile Internet service, owing to its inherited characteristics, forms a closed or semi-closed environment. This is totally different from the Internet, which has an open environment from the very beginning. This article will investigate how companies can collaborate and emulate the success of “Banking ATM System” to form and promote the inter-network platform environment of mobile data services. It will also investigate how to catalyze the rapid growth of Mobile Internet service, and to create an all-win situation for Mobile Operator, ICP, cell phone makers, and cell phone users. Furthermore, it will investigate how to promote the competition advantage of Mobile Internet service industry, so as to create another “Taiwan Miracle”. This research article will cover five areas, (1) To investigate if the collaborative innovation can break through the development bottleneck of Mobile Internet applications service. Mobile Internet service companies hold the keys to the Mobile Internet service, thus form a closed value-added service environment. So ICP must collaborate in order to provide the value-added service. Similarly, the application of industry service is limited. Should the industry expand the application service and increase the market share through collaboration? (2) To study the Mobile Internet service industry. Find out how to create innovative commercial model through collaboration. The key points are specialty work division, resources sharing and complementation, variegation of products and services, creation of overall operational efficiency and category economy, etc. (3) Find out how to collaborate and find the mutual interest by seeking common ground from differences, while maintaining the uniqueness of businesses in Mobile Internet service industry. (4) Study how the Mobile Internet service industry can avoid contradiction in its collaboration model and find out the commonly endorsed benchmarks. (5) Study how the Mobile Internet service industry collaboration model can expand into other industry collaboration in general.

一、共一冊，約五─七萬字，分七章。 二、章節分為： 第一章 緒論：研究目的、架構、方法。 第二章 產品概述：產品定義、功能、分類、主要零組件、發展歷史、市場特性。 第三章 世界市場與技術趨勢分析：國外市場之產銷分佈及予測、主要廠商、未來技 術及替代性產品趨勢。 第四章 我國數據產業現況：基本統計資料、OEM 分析、零組件及其供需、成本結構 、生產品管及研究發展活動。 第五章 附加價值及自製率分析：自製率及附加價值之理論、產業內重要資訊產業間 、及與其他產業間之附加價值比較。 第六章 我國數據機產業未來發展方向。 第七章 結論與建議。

中國的開放式基金近年來高速發展，對中國資本市場的影響與日俱增。然而目前在中國境內對基金所採用的基金績效評價方法仍為較為傳統的方法，如夏普比率、特雷納指數等。而傳統的基金績效評價方法未能很好地顯示基金的真實績效情況。鑒於美國基金有較為先進的績效評價方法，本文利用DEA數據包分析法模型，構建一個包括從基金期初規模、風險收益情況、基金經理人能力及投資人風險偏好等多方面因素的基金績效評價體系。 本研究選擇中國181檔股票型開放式基金，從基金規模及投資風格兩個維度展開深入研究分析。此外，為比較交易量不同期間基金績效的表現情況，本研究依照深證、滬證市場交易量、交易額，將2012年至2015年此段實證期劃分為交易活躍期及交易低迷期兩個階段，對基金績效進行比較分析。結果顯示，交易活躍期的基金績效遠高於交易低迷期；並且無論是交易活躍期或是交易低迷期，小型基金及主動型基金績效表現最佳；而基金的相對績效情況於其基金管理人的資產規模並無顯著相關關係。 在文章最後部分，本文從投資人角度建議投資人在證券市場交易活躍期可增加股票型基金的投資額度，在基金選擇上無需盲目傾向選擇大公司的基金產品，而可以適當傾向投資於小型基金及主動型基金。 / With the rapid development of mutual funds in China in the past decades, open-ended funds have played an important role in Chinese capital markets. To overcome the limitations of traditional performance measurements, this paper establishes a new methodology to analyze open-ended mutual fund performance. This paper uses data development analysis model which considers asset size, risk return, managers’ ability and risk performance of the investors. By utilizing 181 open-ended stock fund data from 2012 to 2015, this paper yields conclusions as follows. First, fund performance is better in strong market periods than that in weak market periods. Second, small size and active funds are more efficient. Third, fund performance is not significant associated with fund asset size and fund units in the fund company. The findings in this paper suggest that investors could do more investment on the open-ended stock funds in the strong market periods. And investors are suggested to invest small size and active fund. What’s more, there is no necessary to consider if the fund’s management company is big enough.

本文討論在抽樣調查中被視為隨機集合模型的樣本，並試著架構基於模糊統計邏輯的粗化數據(coarse data)之理論與特性。因為有些抽樣調查中的數據可以視為隨機集合模型所得出的新數據。如何應用數學分析方法，配合軟計算技術以達到有效之資料處理與統計分析就是本研究之重點。我們將隨機抽樣樣本當作隨機實驗所做出來的結果，而這個論點可以幫助我們分析粗化數據。在探索抽樣調查的隨機集合和分佈的時候，機率測度論提供了很多種非精確數據給予統計學推測結論(statistical inference)，我們推廣傳統理論，以模糊集合及隸屬度為基礎，作為集合元素運算之依據。 關鍵字：粗化數據、隨機集合、隸屬度函數 / In this paper we discuss the sample in the random set model for the sampling survey. Since the data from sampling survey can be treated as a new type of data from the random set model. How to apply the mathematical analyzing methods as well as soft computing techniques to reach an efficient propose is our main goal. We treat random sampling data as the result of random experimental design. And this concept will help us to analyze the coarse data. Finally, in investigating the random set and its distributions for the random sampling survey, traditional probability measure theory serves an important role in the statistical inference, while we use the membership function and fuzzy operations to extend traditional concept into a more general case. Keywords： Coarse data, Random set, Membership function

數字化浪潮的驅動，日益成熟的社交媒體革命，使消費者行為發生翻天覆地的變化，導致企業從行銷方式、人力資源、客戶服務等方方面面都需要變革。對於保險公司而言，在提升企業品牌、降低公司成本、提升客戶滿意度、增加銷售業績、促進新產品的提升這些方面大有益處，但帶來機遇的同時也面臨風險。因此，保險公司運用社交媒體提供的平臺和大數據分析，开启了一種新型的保險模式。很多保險公司由於其大膽創新和善用社群網絡，在此領域很快成為了佼佼者。 本文通過對 5 家在社交媒體積極拓展的保險公司進行分析（美國前進保險公司、 美國USAA保險公司、美國安泰保險公司、中國平安保險股份有限公司、藍桔子保險公司）進行研究，研究各保險公司在社交媒體運用方面的優勢和問題，試圖在大數據廣泛應用、科技金融不斷創新的互聯網時代，對保險公司在以社交媒體為媒介的經營模式進行梳理和歸納，并根據總結之要素，尋求其在台灣和中國大陸市場的應用模式，給出合理建議。

桌上遊戲從休閒娛樂逐漸融入到學校教育，運用巧妙設計的遊戲機制引發學生遊玩意願，進而在愉悅中學習。數位桌遊，一個透過結合數位科技的優勢輔助學習與娛樂的概念隨著教育型桌遊而崛起；然而從產業、學習、娛樂等角度來思考，數位桌遊究竟應具何特性？其體驗是否良好？學習是否有效？透過這些問題，本研究旨在（1）瞭解桌遊產業與玩家對數位桌遊的需求，（2）設計一款體驗供需法則的數位桌遊，（3）評估數位桌遊的遊戲性與學習效益。 首先，本研究運用體驗式學習圈與建構主義等學習理論設計出桌遊《寶島建設》，接著透過訪談桌遊產業各利害關係人了解產業對數位桌遊的想像與需求，透過彙整訪談內容建立數位桌遊的設計指標，最後本研究投入研發數位桌遊與數據分析系統，用以分析學習者的學習歷程與經驗。 本研究共有32位參與者，在進行遊戲期間會採集參與者的操作行為和遊戲資料作為分析，遊戲後會填寫含有心流經驗和遊戲接受度的問卷，並接受遊戲性與學習內容相關的訪談。實驗結果顯示，參與者普遍對《寶島建設》感到滿意，從競標的數據上顯示參與者逐漸掌握資源的價格區間；所開發的數據分析系統亦能發現參與者未達表現的原因，進而對學習者提出有效建議。 總結，本研究成果為（1）透過訪談瞭解桌遊產業對數位桌遊的需求與想像。（2）設計出能體驗與學習供需法則的數位桌遊《寶島建設》，並獲得遊戲參與者們對遊戲體驗正向的回饋。（3）數據分析系統能透過歷程分析了解學習者的困難與障礙，從數據分析圖表裡也可發現學習者逐漸掌握價格區間，這顯示透過數位桌遊《寶島建設》的競標機制能有效學習掌握需求與價格的關係。 / Board games in Taiwan has risen from leisure and entertainment towards teachings in schools, by introducing fascinating game mechanism and theme to enhance student motivation makes learning more fun. Digital board games, a concept combining the advantages of digital technologies to enhance learning and entertaining arose with the rise of educational board games; however, from the aspect of industry, learning and entertainment, what characteristic should digital board game have? Does it create good experience? Is learning effective? Through these question, this research aims to (1) Understand the visions and needs of industry towards digital board game, (2) Design a digital board game to learn the law of supply & demand, (3) Evaluate the learning effectiveness and gameplay. First, the research uses the experiential cycle and constructism learning theory to design the board game Formosa Construction Ltd, then interview several industrial stakeholders to understand the needs and visions of digital board game, through the interviews concluded a design guidelines, finally the digital version of Formosa Consturction Ltd was built along with the data analysis program use to evaluate user experience and learning portfolio in game. Experiments was conducted with 32 participants, gameplay data are collected during gameplay, participants was asked to fill in a questionnaire with flow experience and acceptance, an interview session regarding gameplay and learning will be held after the questionnaire. Results indicate that participants are satisfy with the game, and data collected from auction showed that participants were progressively mastering the price range; The data analysis program was able to find reasons for participants that did not perform well, having chance to provide advice to learners. In conclusion, the research results are (1) Understand the needs and visions of digital board game through interviewing The Taiwan Board Game Industry. (2) Design Formosa Construction Ltd and obtain positive feedback. (3) The data analysis program showed the obstacles learners met through portfolio analysis, auction data analysis also showed participants was progressively mastering the price range, showing that Formosa Contruction Ltd is effective in learning the relation between needs and price.

本論文在固定利率的情況下，推導了超越界限數據選擇權(Crossing Barrier Digital Options)的評價模型及其避險比率，選擇權的條件可以是買權或賣權，上限或下限，甚至是雙重界限，以及出局或入局等，經組合變化後可以產生許多不同的種類，因此我們依序介紹了六種單一界限型態的選擇權及兩種雙重界限型態的選擇權，以供讀者參考比較。

本研究目的是在探討國內工商企業對電信局所提供的數據通信業務的瞭解與接受情形 ，並分析目前數據通信業務的市場開發與推廣之參考。全文共一冊，約五萬餘字，內 容分為六章十四節。第一章是說明研究動機、研究目的與研究架構特性及使用者對各 種產品屬性的重視程度與滿意程度，以做為今後數據通信業務市場。第二章是分析數 據通信業務的市場特性；第三章敘述抽樣方法、問卷設計、資料收集與資料分析等研 究方法；第四章中分析公司特性對數據通信業務接受階段之影響；在第五章中探討研 究結果在數據通信業務市場開發與推廣上的涵義；第六章是研究結論與建議。

本研究透過次級資料的收集，探討巨量資料分析在顧客關係管理之應用，並著重於零售業、金融業與醫療業三個產業。近幾年來，巨量資料（Big Data）的浪潮襲捲而來，隨著網際網路的發展與智慧型裝置的普遍，現今每個人在日常生活中不斷產生巨量資料，透過智慧型手機、社群網站、信用卡、全球衛星定位系統（GPS）、感測器等，在無形中製造了大量的數據。而在此同時，企業用來儲存、記憶、處理資料的成本不斷降低，設備越來越便宜，技術越來越先進，再加上新的資料來源，巨量資料分析對企業的重要性不言可喻。 巨量資料能徹底改變企業的經營方式，大幅提升企業的經營績效，但這些收入是否超過公司內部在巨量資料所投資的成本，為公司帶來獲利？巨量資料分析又是怎樣應用在顧客關係管理，帶來正面效益？本研究從「企業進行巨量資料分析的動機」、「巨量資料的類型與來源」、「巨量資料分析方式」、「巨量資料分析的結果與效益」及「企業在巨量資料分析的投入與調整」五個面向切入，探討巨量資料分析在顧客關係管理的應用。 研究發現，巨量資料背後的分析學，不僅可以用來解決企業現有的問題，更能協助企業發掘未知的商機，開發新的產品與服務。然而值得注意的是，無論是零售業、金融業或醫療業，巨量資料分析能使企業從競爭對手中脫穎而出的成功關鍵因素，是在於公司本身對資訊的重視程度，以及公司內部能否共同合作，也就是說，從領導階層到第一線員工，不僅都要相信資料，也要懂得如何應用這些巨量資料，使其發揮最大效用，方能在創新的商業模式下，創造企業長期的競爭優勢。