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Recenty , the Internet change Human¡¦s life with rapid growth. Especially in recent years , Mainland China have great advancement in Internet. Because environment changes so fast , traditional competitive strategy gas become unavailable. The purpose of this research evaluate the strategy of internet company with dynamics of competitive strategy. This dissertation is divided to five chapters: In chapter 1 , it included introduction of research content¡Bpurpose and motive. In chapter 2 is literature review. It explains administration of virtual community¡Bdynamics of competitive strategy , and the competition on the edge. In chapter 3 , we analysis Internet Content Provider in mainland China , include the administration of ICP and portal site in P.R.C..In chapter 4 , we visited internet companies in Mainland China and then made SWOT analysis for our case. At last , we induce the key successful factor about portal site¡¦s administration in P.R.C. is : 1. Incipient advantage 2. Have no lack of capital 3. The ability to handhold variety market message 4. The free Internet resource 5. A large amount of loyal member 6. Powerful search engine 7. Fast & broad news content 8. The frisky virtual community 9. Brand advantage

隨著資訊時代的來臨，網際網路用戶數的急速成長，客戶資料大量湧入的結果造成了企業回應客戶的困難；此外，入口網站的日漸普及與市場新利基的建立，使得上網者對專業化網站的需求提高；而配合新行銷時代的來臨，新科技行銷已從以往的大眾行銷走向一對一的個人化行銷。在這樣的背景與動機驅動下，近年來資料倉儲技術的興起，在這個講求競爭及速度的時代，提供了一套真正能創造企業優勢的方法，資料倉儲與客戶關係管理也逐漸成為企業發展與競爭不可或缺之工具。 　本研究乃是利用資料倉儲等相關技術，期望能達到網路市場區隔之目的，進而提供行銷相關之建議。因此，研究中定義了入口網站之會員特性分析模式，從中發掘出會員特性模式之分析結果，再配合入口網站功能階段分類表的服務內容，與研究中所訂之行銷模式，修改並制訂最後行銷策略上之參考建議。 　目前國內在資料挖掘上之相關研究，乃以金融、銀行、保險等領域的應用較多，對於入口網站此領域的應用尚無相關研究出現。另外，在網際網路發達，且入口網站百家爭鳴的背景之下，如何提高會員註冊率，與如何保留住已註冊的會員，是網站經營者所需考量的兩個重要課題。有鑑於此，本研究期望帶給網路業者一個新的思考方向與啟發，也試著將資料挖掘的技術帶入網際網路的應用領域，由網站會員特性的初步分析開始，做一簡單之示範。 / With the approach of informational era, the Internet users grow rapidly and the mass production of customers' data results in the difficulty of the response from industries to customers. Moreover, the widespread use of portal sites and the establishment of new market opportunity let the Internet users raise their demand to specialized websites. Because of the coming of new selling era, the selling of new science and technology has changed from the former mass selling to one-to one individual selling. Under the drive of this kind of background and motive, Data Mining technology rises and develops recently. In the era that emphasizes competition and speed, we provide a method that creates the superiority of industries. Data Warehouse and Customer Relationship Management (CRM) is becoming the essential tool for the development and competition of the industries. 　This research uses some technologies related to Data Warehouse in order to segment the Internet market, and provide the related selling suggestions. Therefore, the research defines the analytic model of characteristics of members of portal sites, discovers the analytic results, and then to cooperate with the services mentioned in the classified table of functions/stages of the portal site and the selling model made in the research, and then modifies and makes the final suggestions on selling tactics. At present, the internal researches about Data Mining are usually applied in the domains of finance, banking, and insurance, not in the domain of the portal sites. Besides, in the situation of prosperous Internet and competition of portal sites, how to raise the register rate of members and how to keep the registered members are the two important topics considered by website managers. Consequently, this research hopes to bring not only a new direction and inspiration to managers, but also a new applied domain, Internet, for Data Mining. This research will begin with a simple example that analyzes the characteristics of a Portal Sit's Members and the Making of Selling Tactics.

處在變化快速的網路環境中，入口網站如何建立起專屬的會員制度，以期行銷人員能在大量的會員資料庫中找出有用的資訊，掌握會員的網路行為模式、實現個人化之服務、有效區隔市場及瞭解不同會員之網路行為模式等，進而以制定適當之行銷策略而達成結合實體行銷之目標。而資料挖掘的技術能在資料量龐大的會員交易資料庫中，利用會員的基本資料與交易資料衍生建立相關的評估指標，以評估會員的特質、需求模型、消費特徵、建立市場區隔的行銷策略等，行銷人員藉此可採用不同的宣傳方式與促銷策略，以達最佳的獲利結果。 本研究以國內某入口網站真實之會員基本資料及入口網站之商品：BBS頻道與財經頻道的資料檔，做為會員網路行為模式之資料分析的基礎。本研究利用資料挖掘的技術，找出入口網站的會員與商品之分群特徵，並發掘會員在兩頻道間的網路行為的關聯規則。另一方面，本研究利用關聯規則演算法，考量實際在發掘關聯規則分析所碰到的問題，實作出一套操作流程式較為簡便的關聯規則分析程式。本研究提供不同的關聯規則分析角度，以考量會員購買商品項目組合的關聯規則，進而支援決策者制定相關商品的促銷決策，以提高銷售量。 / In the rapid-changing network environment, how do Portal Sites establish exclusive membership mechanism in order to filter useful information out of their own database, master the network behavior models of their members, realize personalized services, and effectively segment and understand different network behavior models of all members? However, data mining can use the basic members' information and transaction data to produce the associated evaluation indicator during the high volume transaction database in order to evaluate the customers’ traits, demand models, consuming characteristics, and establish the marketing strategy of segmenting target market. As a result, we can adopt different advertising types and promotion strategies to achieve the best profitable goals. The research is based on the real data of members and the merchandise of some website in Taiwan. (i.e. using data files of BBS channel and financial channel as the fundamental analysis data of network behavior models). Per using the data mining techniques, we can not only find out the characteristics of the members of portal sites and the clustering of merchandises, but unearth the association rules of network behavior of the two kinds of channels. On the other hand, this research, according to the association-ruled calculation method, is considering the practical problems when excavating association-ruled analysis methodology and producing a much simpler association-ruled analysis program. By providing the list of best buyers, the association-ruled analysis program will consider the association rule of members’ buying component and for further step, support the decision-maker to institute the related promotion strategy in order to raise the sales volume.

無時間及距離限制之網際網路的出現，大舉改變了人類的生活，除了深入家庭外，亦同時深入企業，大幅改變企業經營模式。新的經濟型態是由新技術、全球化趨勢和當前財務報表所看不到的無形資產所組成，全球產業的競爭要素正由實體資產的競爭轉為虛擬的、無形的資產競爭，許多學者稱這些無形資產為智慧資本。網際網路被認為是一個知識密集和人力資源密集的高附加價值產業，智慧資本在此類產業中相形重要，因此智慧資本的管理制度便成為其主要課題。 　　近來，網際網路產業呈泡沫化現象，此時存活下來而仍佔有一席之地的網際網路公司，必有其優勢所在。本研究即欲探討為其創造高價值及延續其競爭力之核心智慧資本管理制度為何。 　　本研究採個案研究法，輔以問卷調查，以能吸引最多顧客、與一般大眾親近度最高的入口網站為研究對象。首先，初步訪談個案公司主管有關該公司之核心智慧資本管理制度，再根據文獻及訪談所得資訊，設計問卷進行調查，以瞭解個案公司主管對其公司各項智慧資本細項之重視程度，再就各公司核心智慧資本之管理與衡量方式進一步深入訪談，經整理分析及比較探討後，做出以下結論： 　　一、入口網站公司共同重視之智慧資本次分類為人力資本中的「經營團隊」、「專業技能」、「向心力」、「創造力」，流程資本中的「組織彈性」，創新資本中的「智慧財產」，關係資本中的「顧客規模」、「顧客忠誠」、「顧客資訊」、「策略夥伴」及「聲譽」，共計十一項。 　　二、策略會影響核心智慧資本的組成內容。 　　三、考量公司策略及經營背景以制訂適切之管理制度，幫助核心智慧資本之創造、累積及維持。 / Timeless and accessible Internet changes our life style. Besides families, it goes deep into the enterprises and drastically changes business models. New economy is composed of new technology, trend of globalization and intangible assets that aren't presented in financial statements. Competitive factors of globe industries have shifted from physical assets to intangible assets, which are called “Intellectual Capital”. Internet industry, which is knowledge and human-intensive, is considered as high value-added industry. Intellectual capital in this industry is more important than others; therefore, the management system of intellectual capital is the primary topic. 　　The Internet companies, which could survive at the Internet bubble and play a decisive role, must have extraordinary advantages. The purpose of this study is to explore how to manage the core intellectual capital, which can create high values and raise competitiveness in the Internet companies. 　　Case study and questionnaires are used in this study. The objects of this study are the portal sites that are the most attractive and close to the public. Firstly, by interviewing the executives, we could have the preliminary understanding about the management system of the core intellectual capital. Secondly, according to the result of literature review and our work in stage one, we designed and collected our questionnaires. Through the questionnaires, we could understand how the executives stress the attributes about the items of intellectual capital. Finally, we had detailed interviews with the executive of our objects by above results. After analyzing and comparing the results, the conclusions of this study are: 　　1. Portal sites stress the partial same sub classification of intellectual capital, which are ‘management team’, ‘professional skill’, ‘employee commitments’ ,and‘creativity’ in human capital ,‘flexibility of organization’ in process capital ,‘intellectual property’ in innovation capital , ‘customer scale’ , ‘customer loyalty’, ‘customer information’ ,‘strategic partners’ , and‘reputation’ in relation capital. 　　2. The composition of the core intellectual capital is effected by strategy. 　　3. To create, accumulate and maintain the core intellectual capital is by establishing the appropriate management system with considering the strategy and background of the enterprise.