六標準差（Six Sigma）為目前最受矚目與重視的品質活動，而精實生產方式（Lean Production System）係以及時化（Just-In-Time, JIT）及自働化（Jidohka）兩大概念，所發展出來的合理化生產系統。此二者俱以變異為基礎的思考（Variation-based Thinking），協助企業改善流程、提昇品質、生產力與競爭地位，其整合並被視為下一波管理思潮的新趨勢。 此外，若論及產業特性，服務產業有別於製造業，其特有的服務（Service）、交易業務（Transaction）與其他非製造性（Non-Manufacturing）流程，往往存在更多浪費與更多的改善機會，卻更為強調顧客滿意經營。 本研究鑑於研究缺口與實務發展之需，提出六標準差與精實生產方式應用於服務業之整合模式（Lean Six Sigma for Service，LS3）。本模式以精實生產方式減少內部浪費，並以六標準差導向顧客滿意之追求，不但兼顧企業內部與外部顧客之觀點，亦兼顧精實速度與六標準差之高品質。 / “Six Sigma” is one of the most popular quality initiatives recently. “Lean Production System” is the world famous production system developed and practiced by Toyota mobile company for a long time. It based on two concepts: “Just-In-Time” and “Jidohka”. Both two are based on the variation thinking to improve business process, enhance quality, production and competitive position. Besides, the integration of them is viewed as a new trend in the next management wave. Moreover, regarding to the industry characteristics, service industry is quite different from manufacturing industry. Even though there are more wastes and improvement opportunities, the application of Six Sigma, Lean Production System or their integration in service industry is quite few neither in literatures nor practice. This research proposes the Lean Six Sigma integration model based on the research gap and the practical need, and then adapt it for service industry. The model is named as “Lean Six Sigma for Service (LS3)” in this research. It balances the viewpoints of internal and external customers, and gives consideration to the Lean speed as well as Six Sigma high quality. Also, this research tries to contribute to the enhancement of management technology. / 目 錄 中文摘要………………………………………………………………………………I 英文摘要………………………………………………………………………………Ⅱ 誌謝……………………………………………………………………………………Ⅲ 目錄……………………………………………………………………………………Ⅳ 表目錄…………………………………………………………………………………Ⅶ 圖目錄…………………………………………………………………………………Ⅷ 第一章 緒 論…………………………………………………………………………1 1.1 研究背景與動機………………………………………………………………1 1.2 研究目的………………………………………………………………………4 1.3 研究範圍與限制………………………………………………………………5 1.4 研究方法………………………………………………………………………6 1.5 研究架構………………………………………………………………………7 第二章 文獻探討…………………………………………………………………8 2.1 六標準差………………………………………………………………………8 2.1.1 六標準差之發展沿革………………………………………………………8 2.1.2六標準差之定義與各家說法………………………………………………12 2.1.3 六標準差之組織架構及人員角色…………………………………………17 2.1.4 六標準差之改進循環………………………………………………………21 2.1.5 六標準差主要之八大工具…………………………………………………27 2.1.6 六標準差之推行現況………………………………………………………29 2.1.7 六標準差之運作特點………………………………………………………30 2.2 精實生產方式…………………………………………………………………31 2.2.1 精實生產方式之發展沿革………………………………………………31 2.2.2精實生產方式之定義…………………………………………………….34 2.2.3 精實生產方式之構成要素………………………………………………34 2.2.4 精實生產方式之推展步驟………………………………………………40 2.2.5 精實生產方式之運作特點………………………………………………42 2.3服務業…………………………………………………………………………46 2.3.1 服務業之定義……………………………………………………………46 2.3.2 服務業之特性……………………………………………………………48 第三章 模式建構…………………………………………………………………52 3.1 精實六標準差應用於服務業之綜觀（LS3 Overview）……………………52 3.2 導引階段（Lead Phase）……………………………………………………………56 3.3 研究階段（Study Phase）……………………………………………………………65 3.4 流暢階段（Smooth Phase）…………………………………………………………70 3.5 維持階段（Sustain Phase）…………………………………………………………73 第四章 模式驗證.…………………………………………………………………81 4.1 問卷對象…….………………………………………………………………81 4.2 專家意見…….………………………………………………………………83 第五章 結論與建議…………………………………………………………………84 5.1 研究結論……………………………………………………………………84 5.2 研究貢獻……………………………………………………………………85 5.3 後續研究建議………………………………………………………………86 參考文獻……………………………………………………………………………87 附錄A 專家訪談調查函……………………………………………………………93 附錄B 專家訪談問卷內容…………………………………………………………94 表 目 錄 表 2.1 六標準差的發展階段………………………………………………………12 表 2.2 標準差換算表………………………………………………………………14 表 2.3 六標準差方法論DMAIC………………………………………………………22 表 2.4 六標準差設計方法論DMADV……….………………………………………23 表 2.5 六標準差「工具的21個整合步驟：研發流程」…………………………25 表 2.6 豐田生產系統之「實驗」……………………………………………………44 表 3.1 LS3之內容要項與工具……………………………………………………54 圖 目 錄 圖 1.1 研究流程圖………………………………………………………………6 圖 2.1 製程中心飄移1.5標準差的情形………………………………………13 圖 2.2 典型的六標準差組織圖.…………………………………………………17 圖 2.3 執行六標準差之八大步驟…….…………………………………………27 圖 2.4 六標準差之八大工具…..…………………………………………………28 圖 2.5 精實生產方式五大主要要素…….………………………………………36 圖 2.6 消除浪費要素……………………………………………………………37 圖 2.7 全面品質要素………………………………………………………………38 圖 2.8 人員準備要素………………………………………………………………39 圖 3.1 LS3運作架構圖………………………………………………………………53 圖 3.2 LS3運作模式之工具總覽……………………………………………………55 圖 3.3 導引階段之使用工具………………………………………………………57 圖 3.4 研究階段之使用工具………………………………………………………66 圖 3.5 流暢階段之使用工具………………………………………………………70 圖 3.6 維持階段之使用工具………………………………………………………74

在資訊時代引領的知識經濟中，知識密集型服務業已成為產業發展價值鏈中的重要一環，在創新中起著重要作用。 本研究主題在探討台灣的管理顧問服務公司要走向國際化應有的策略與重點執行方向。採取單一個案研究方法，以折衷理論和資源基礎理論為基礎的研究架構來檢視悦智全球顧問這個個案的狀況，並與顧問產業中國際化程度最深的標竿個案麥肯錫相比較，來進行台灣管理顧問公司走向國際化策略的探討。 研究結果發現，台灣管理顧問公司的國際化發展規劃，必須要先著重於：1) 人才資源管理 – 著重領導力，培養未來領袖 2)加速知識管理的能力建置 3)經驗值的累積與傳承制度 / Leading the knowledge economy in the information age, knowledge-intensive service industry has become an important part of the industry value chain, and plays an important role in innovation. This research topic is to explore the gaps and the implementation of a strategy and direction for Taiwan's management consultancy services company when it comes to be internationalizing of its operation. This thesis take single case research method, forming the research framework based on Eclectic Theory and Resource-Based View to examine the case of Atelligent Global Consulting, and comparing to the benchmark case McKinsey which has the deepest degree of internationalization in the consultancy industry, to discuss the internationalization strategy for Taiwanese management consultant firms. Findings, Taiwan management consultants international development plan must focus on: 1) human resource management – focuses on leadership, training future leaders 2) accelerate knowledge management capacity-building 3) experience accumulation and transmission system.

隨著經濟發展與所得水準提升，臺灣地區就業人口由早期的第一級產業－農林漁牧業逐漸移向第二級產業－工業，再由第二級產業轉移至第三級產業－服務業。為瞭解臺灣地區服務業就業之趨勢，國內多數研究僅就蒐集資料以年齡、年代或世代三方面分別作探討，本文則改採流行病學領域中所廣泛使用之年齡－年代－世代模型（Age-Period-Cohort Model），就行政院主計處「人力資源調查」資料來作分析。但年齡、年代與世代三者間存在共線性問題（即世代＝年代－年齡），導致迴歸模型產生無限多組解，為了自其中選出一組較適當之參數估計值，文獻中提供了許多不同形式的解決方法。本文則採用Fu（2000）所提出之本質估計量（Intrinsic Estimator，簡稱IE），這是一種不受參數限制式影響的估計方式。我們除了藉以取得惟一的參數估計值，進而分析年齡、年代及世代效應對服務業就業比率之影響外，並與傳統之受限廣義線性模型估計量（Constrained Generalized Linear Models Estimator，簡稱CGLIME）作一比較，來說明採用本質估計量之優點及方便之處。 / Along with economical development and higher income level, Taiwan area employed population has gradually been switching from farming, forestry, fishing and animal husbandry to goods-producing industries, and then onto services-producing industries. In order to understand the trend of employment in service-producing industries in Taiwan, most domestic studies focus on the aspects of age, period or cohort separately. We, instead, adopt the Age-Period-Cohort (APC) model, which is well recognized in the epidemiology, to analyze the data from “Manpower Surveys” conducted by the Directorate-General of Budget, Accounting and Statistics, Executive Yuan, R.O.C. in this study. However, due to the collinearity among the age, period, and cohort effects, the APC model suffers from the identifiability problem. Some possible solutions have been provided in the literature. Among them, the Constrained Generalized Linear Models Estimator (CGIME) is undoubtedly the most popular choice, while the Intrinsic Estimator (IE) (Fu (2000)), which is invariant to the constraint selected to obtain the parameter estimates, is less well-known. We compare the results obtained from IE with that of CGIME in this study, and discuss the advantages of using the Intrinsic Estimator.

「雲端運算」這幾年來成為全世界熱門議題，受到各個先進國家政府的高度重視，相繼積極投入龐大經費與資源來建立雲端運算的基礎建設與協助產業發展，更為產業界帶來了龐大商機，業者無不搭上這股時代潮流，期盼能找到創新營運模式，來提昇公司的核心競爭力。 　　台灣信用合作社受到現行金融法規的規定，限制其經營業務種類、營業區域及交易對象，造成信用合作社的營運範疇、可用的資源、事業網絡、營業額、客戶數及市佔率等等面向都無法與一般商業銀行比較。此先天的限制，也讓信用合作社在資訊設備的投資，資訊人員的配置上，與銀行相比也相對少很多，造成在競爭力上處於不平等的窘境。 　　本研究挑選金融資訊服務產業個案公司和其客戶區隔（信用合作社）做為個案研究對象。試著透過商業模式的理論觀點，探討雲端運算提供的服務模式，分析個案公司ASP營運模式是否能成功轉型成雲端運算SaaS模式，並發展出一套適合台灣信用合作社的雲端服務電子銀行解決方案。本研究結果除了可以提供給台灣信用合作社建置電子銀行系統參考外，亦可以對台灣金融資訊服務業因應雲端運算趨勢，帶來新的商業契機。 / "Cloud computing" has become the world's most popular topics in the past few years. Each advanced countries governments have attached great importance to cloud computing, and have been actively involved in the huge funding and resources to build a cloud computing infrastructure to assist industrial development, but also for the industry to create huge business opportunities. The enterprises have to catch up with this trend, and look forward to find innovative business model to enhance the company's core competitiveness. 　　Taiwan's credit cooperatives types of business, the business region, and trading customers are subject to the limitations of the financial laws and regulations. Result its business region, available resources, business networks, business income, the number of customers and market share, etc., cannot compare with the banks. This inherent limitation caused Taiwan's credit cooperatives invest in IT equipment and IT personnel are much less than the banks, resulting in unfair competition. 　　In this study, we select the financial information services industry, the case company and its customer segmentation (Taiwan's credit cooperatives) as a case study. This study tries to explore the cloud computing service model through the business model of theoretical perspectives to analyze the case of the company's ASP business model is able to successfully transform into cloud computing SaaS model, and tries to develop a set of cloud services for Taiwan's credit cooperatives in e-banking solutions. The results of this study can provide Taiwan's credit cooperatives to build the reference of the electronic banking system, also of Taiwan's financial information services in response to the trend of cloud computing bring new business opportunities.

分類是研究的第一步，服務業的管理必須基於有意義的分類，才可能提出規範性的結論。此外，服務業的無形產出，必須透過細緻的服務傳送系統設計來傳遞給顧客。因此服務業的研究首要工作，在從抽象的層次中提出對服務業無形特性的有效分類。經由文獻檢討及實務觀察，本文提出三項服務業的產出分類構面：經濟性、社會性及心理性利益，稱之為服務核心。以此三構面將台北市的服飾零售業分為四種類型：經濟心理性、心理性、混雜性及經濟性零售店。各類型零售店中較績優者，相互之間服務傳送系統的差異非常明顯，顯示績效的殊途同歸性是明顯的。同一類型零售店組內的比較分析中，以類神經網路求得影響績效最重要的服務傳送系統項目；經濟心理性最重要的活動與商品無直接的關連；心理性零售店最重要的是人員專業性與商品風格與品味；經濟性零售店的服務傳送系統則是愈簡單愈好。文末並提出相關的討論及建議。

隨著科技進步，基於機器學習技術的資料分析工具在顧客關係管理領域已被廣為使用。過去的相關研究文獻大多著重於高交易頻次、與客戶互動頻繁的產業，諸如金融、電信、零售業等，但對於具有相反產業特性的服務業等則是缺乏著墨。本研究希望透過案例研究的方式，完整呈現企業如何實際將基於機器學習技術的資料分析工具應用於顧客關係管理業務的過程，以及這些新技術如何幫助企業提升顧客關係管理的成效。本案例使用行動研究方法來歸納、分析、整理整個專案的過程與結果，文末總結本案例於作業、管理以及策略層面的管理意涵與建議。本研究使用的資料來源為台灣一間大型汽車經銷商的資訊部門與其旗下的服務廠，總共包含了約273萬筆資料。利用於微軟Azure平台上的決策樹模型分析資料，產出高購買機率的顧客推薦名單，服務廠的技師可以針對名單上的顧客推銷，不僅能有效提高推銷的成功率，節省第一線技師的時間，還能夠提升技師以及顧客的滿意度。最後本研究的結果顯示，運用機器學習技術產出的推薦顧客名單，確實能夠幫助本案例公司於顧客區隔以及顧客發展，並達成更有效的顧客關係管理。 / Data-mining tools and machine-learning techniques have long been used in customer relationship management (CRM), including for customer retention in the financial, retail, and telecommunications industries. However, research on machine learning for CRM in service industries remains rare. Accordingly, this paper uses action research to arrive at a holistic understanding of the process of applying machine learning-based data mining in a specific service-sector business, and whether, how, and how much these novel techniques can help it improve its customer relationships. Key areas of interest include operational, managerial and strategic decision-making processes. Based on approximately 2.73 million rows of data collected from a large car dealership’s IT department and its vehicle-maintenance plants, Microsoft Azure’s boosted decision-tree model generated lists of recommended customers. Such lists could be used by the company to increase the success rates of its promotional activities and to decrease both the overall duration and frequency of technicians’ involvement with promotion. This in turn could lead to more efficient and effective frontline operations, and increased satisfaction not only among customers but also among technicians. In short, machine learning-based recommended-customer lists helped the company achieve more effective CRM through better customer segmentation and customer development.

自1988年開始中華民國政府推動「整廠輸出推動輔導」專案至今，針對台灣整廠輸出產業之輔導創造中小型整廠輸出之商機逐年增加。 為因應產業外移所造成產業空洞化之危機，除政府極積推動之「企業營運總部」政策外，輔導廠商進行產業轉型，以填補台商製造業全球佈局所造成的產業空洞，即更具有積極開創之意義。鑑於二十一世紀本是強調創新，以「知識服務」為競爭核心的時代，「知識」己成為生產力提昇與經濟成長的主要驅動力，故台灣產業之轉型，即無法忽視此種以知識資本為主要生產要素，透過持續不斷的創新，並善用資訊科技力量以提昇產品附加價值之「知識經濟」型態之影響。 而以往台灣之產業政策一向集中於製造業，並未重視服務業之發展，因之，政府於輔導廠商產業轉型時，即順應知識經濟時代之潮流，妥善利用台灣是世界重要的資本輸出國、台商海外資產總值名列前茅、台商擁有全球接單、各地製造的運籌能力等優越條件，以發展「高附加價值」的「知識型」服務業為重點。 鑑於「整廠設備輸出」的概念即為發展「高附加價值」的「知識型製造業」。其牽涉眾多環節及技術，個別廠商多無法獨立克服，故為企業之整廠輸出行為提供整體解決方案之整廠輸出技術服務業，因具有以專門知識為基礎，提供「高附加價」的「知識型」服務之特性，應值得政府部門重視。此外，倘業者能將其技術服務(不以傳統之機器設備整廠輸出技術服務為限，尚可包括工程技術服務業(Engineering Service Industry)、農業技術服務業(Agricultural Service Industry)，予以整體包裝，賦予品牌，並將其以整體國際行銷之技術服務商品型態對外輸出，應亦屬「整廠輸出」之一環(按傳統意義所稱之「整廠輸出」向以機器設備之硬體為主，以技術服務之軟體為輔，而技術服務之整廠輸出，係以技術服務為核心，而以硬體之機器設備為輔)，是值得政府部門重視。 按整廠設備輸出係一項整合性的產業活動，需要整合工程顧問、工程設計、進出口貿易、機械設備製造供應、技術服務、營建工程、市場行銷、融資服務等多面向之工作項目及問題，且不論企業之整廠輸出活動，對企業之整廠輸出行為提供整體國際行銷之整廠輸出技術服務業，或以技術服務為商品之技術服務型整廠輸出業，均與整廠設備輸出之產業活動相關。 準此，本研究擬以「整廠輸出」之產業活動現況為基礎，探討企業之整廠輸出活動，整廠輸出技術服務業，或以技術服務為商品之技術服務型整廠輸出之經營現況，及整廠輸出業者在大陸地區之營運情況及目前所遇到之事實或法令之障礙、期望中華民國政府可以提供之扶助獎勵措施等等事項，進行瞭解並提出檢討，以期對未來整廠設備輸出產業之發展策略，提供參考之興革建議，並做為中華民國政府主管機關推動「整廠輸出輔導專案計畫」之佐證。 / The Current Analysis and Future Strategies on Taiwan’s Turnkey-plant Export Industry Taiwan government has promoted and assisted “Turnkey-plant Export” project for the island’s small- and medium-scale enterprises since 1988. Since then, this assistance has created many turnkey-plant-export opportunities for small- and medium-scale enterprises. In addition, these opportunities have also increased year by year. In order to cut down production costs, many Taiwan manufacturers have moved their plants overseas, and some of the industries are empties around the island. Therefore, Taiwan government has promoted the policy of “enterprise’ operating centers”, and has assisted manufacturers to transfer their traditional industries to high-tech ones. This could cover the empties after Taiwan manufacturers’ global manufacturing policy. The 21 Century emphasizes innovation, and core competition is based on knowledge services. Knowledge has become the driving force for upgrading productivity and economic growth. Taiwan’s enterprises can’t neglect knowledge capital is the major factor for manufacturing and production. Through continuous innovation and the use of information technologies to upgrade the value added products. This is knowledge economy. Previously, Taiwan’s industry policy has centered on manufacturing, and hasn’t emphasized on the development of service industries. Therefore, when government assists manufacturing industries to transfer their lines, must follow the trend of knowledge economy. Taiwan is one among the world’s capital-export countries. Taiwan enterprises’ offshore production values have ranked the top. In addition, they accept purchase orders around the world, and have global manufacturing sites. These are the important factors to develop high-value added and knowledge-type service industries. The turnkey-plant-export concept is to develop high-value-added and knowledge-type manufacturing. This export provides the total solution, and is technology service business. It needs special knowledge for the base to provide high-value-added and knowledge-type technologies for the character of service business. The government should aware the importance of these knowledge and technology. In addition to traditional technology serviced for the traditional turnkey-plant exports, if enterprises could add more and advanced technology services such as engineering service industry and agricultural service industry. Enterprises could have turkey-plant exports as a package and a brand name and using international marketing and sales for the exports. This will be the new turnkey-plant export. The traditional turnkey-plant exports are focus on the exports of hardware (production equipment), and the technology services are the minor. On the other hand, the government should aware that. the technology-service turnkey-plant exports are focus on technology services, and production equipment is the second. The turnkey-plant exports are integrated industry. It should integrate engineering consultations and designs, import and export trading, equipment and facilities manufacturing and supply, technology services, construction engineering, marketing and sales, financial loans. The turnkey-plant exports, international marketing and sales as well as technology services, or based on technology services for turnkey-plant exports are related to turnkey-plant exports. Therefore, this research will base on the turnkey-plant-export industry to discuss enterprises’ turnkey-plant exports; the turnkey-plant exports technology services; the activities of based on technology services for turnkey-plant exports; and turnkey-plant-export enterprises’ activities in mainland China and law and other barriers there. The expected assistances and encourages from the government to proceed understanding and discussion. Hope this research will provide suggestions for the reference for the strategy development for future turnkey-plant exports. In addition, this could for the reference for the government to promote “turnkey-plant exports special plan.”

隨著知識經濟時代以及全球化的來臨，各國都市面臨全球性的競爭壓力，都市內部業種轉變為以服務業為業種主流，其中的生產者服務業更是成長快速的新興產業，更是適應全球化發展策略的重要產業。因此了解其聚集的成因將更具有時代的意義。產業聚集於都市的現象，傳統聚集經濟多以規模經濟、地方化經濟、都市化經濟為其解釋。近來，由於知識經濟的重要性，衍生出以知識的創新效果以及外溢效果來解釋產業的聚集現象。本研究利用空間距離的影響性來估計產業內知識外溢效果，並利用產業投入產出關聯係數估計產業間知識外溢效果，並採用分量迴歸來進行實證分析，以利於更詳實的解釋各知識外溢效果在於不同公司規模下的影響性。 研究結果發現，投資於R&D要素對於公司的成長並沒有顯著的影響，甚至對於中小型公司為負向影響。產業內知識外溢效果方面，對於各公司規模皆有正向的幫助。產業間知識外溢效果則呈現對大規模公司有正向幫助，對中小規模公司則為負向效果。在知識經濟時代下，兩種知識外溢效果確實有助於大規模公司的成長，為產業聚集的重要成因之ㄧ，但對於中小規模公司則有不同的效果產生。因此在促進產業發展的區位規劃設計上，需要考量不同規模公司與不同知識外溢效果的相互關係，以便有助於生產者服務業的發展，建立更具有國際競爭力的都市型態。 / Facing the developing economics of knowledge and globalization, Taipei metropolitan area has faced the issue of industrial restructuring. The strategy for globalization is to develop the producer services (PS) sector, in order to improve higher competitiveness to the city. The theory of agglomeration economics includes scale economics, localization economics and urbanization economics. Nowadays, spillover effect is considered as the most important reason that industries agglomeration develop in urban areas. This paper analyzes two categories of R&D spillover effect in the PS sector of Taipei metropolitan area by quantile regression. The spatial distance and the Input-Output table are used to calculate the intra-industrial and inter-industrial spillover effect, respectively. The result shows that investment in R&D has a negative effect to firm’s output. Firms with any scale benefit from the intra-industrial spillover effect incomplete. The inter-industrial spillover effect analysis shows that only the bigger scale firms can get the positive benefit, the smaller scale firms get the negative effect. The research analyzes different kinds of R&D spillover effect, and the result show that there are different effects among different conditions. In sum, this research suggests that the disposition of industrial location should consider both the scale of firm and the different spillover effect. As above, utilizing the R&D spillover effect is an important factor to develop the PS sector and to construct the global city.

University of Macau / Faculty of Law

生產者服務業其有創新與改變技術的功能，亦有調節勞力分工擴張、加強組織內部關聯的作用，由於該等功能與作用對於生產力的提昇、就業機會的創造與貿易出口量的增加均具有重要意義，因此它被視為現代生產系統中重要的部門。本研究首先以Gemmell產業成長理論探討各台北都會區產業結構的變遷，證明服務業已然成為現代生產系統中重要的部門；再以產業感應度(sensibility)、影響度(dispersion)分析生產者服務業的產業關聯，證明生產者服務業以服務生產部門為主；爾後再以組織理論(organization theory)中彈性生產(flexible production)及勞力分工(labor division)兩個向度分析生產者服務業的成長及原因，證實生產者服務業能自我創造就業及創新技術獲致成長。其後再以區位商數及成長商數交叉分析生產者服務業在台北都會區的成熟度，顯示台北縣生產者服務業呈顯著的成長然未具輸出性，成熟度較台北市弱，但因接收台北市的廠商而擴張。繼之假設生產者服務業於空間分布受到其所服務的產業影響而分布，利用兩產業間密度斜率(density gradient)的牽動關係分析生產者服務業在空間移動的現象，藉以瞭解我國在生產者服務業所應有的產業區位政策。所得的結論有二：其一，生產者服務業興製造業分布呈現互斥的情況。另外，生產者服務業與人口分布呈現移動一致的現象，亦即生產者服務業與人口的分布，呈互補性顯著的情形。最後以生產者服務業內的國際貿易業為例，分析其路網結構(network concept)後證明該業的集中與台北都會區通訊便利性及聚集經濟不可分。 / Producer Services Industres have the functions of innovation and reformation skills, and the functions to regulate the extension of division of labor and strengthen internal organizational correlation. Since these functions are important for upgrading productivity, creating job opportunities and increasing quantity of export, they are regarded as a vital sector of modern production system. 　　First, this research tries to make use of Gemmell's Theory of Industrial Development to study the changes in the structure of industries. It shows that Services Sector has become an important sector of the whole modern production system. 　　Second, this research attempts to use industrial sensbility and dispersion to analyze the correlation of Producer Services Industries. It has proved that Service Sector is a major part of Producer Services Industries. 　　Third, this research employs two kinds of vector, such as flexible production from Organization Theory, and division of labor to analyze the development and factors of emergence of Producer Services Industry. It has proved that Producer Services Inustries can bring to creation of new jobs, innovation and development of skills. 　　Fourth, this research uses Location Quotient and Growth Quotient to crossexamine the degree of maturity of Producer Services Industries in Taipei Urban District. It has shown that Producer Services Industries in Taipei Hsian bears a distinct development but not in an output manner. The degree of maturity in Taipei Hsian is lesser than that of Taipei City. And Taipei Hsian can be expanded because of absorbing or attracting the holders of factories from Taipei City. 　　Fifth, this research assumes that in terms of spatial distribution, Producer Services Industries are distributed according to the influence of Industries served by Producer Services Industries. By means of the linking and relations of density gradients among industries, the phenomenon spatial movement can be illustrated. It can be regarded as a proper industrial district policy of Producer Services Industries. 　　Two points of conclusion can be made: 1) there is a repulsion for distribution between Producer Services Industry and Manufacturing Industry; 2) there is a phenomenon of concurrent movement between Producer Services Industries and distribution of population. It means that they have a distinct condition of mutual compenstaion. 　　Sixth, this research tries to make International Trade as an example of Producer services Industries, to analyze the network concept and prove that there are no any separations among concentration of this Industry, convenience of communication in Taipei Urban District and aggregate economy.