在有限的資源之下，各區域地方政府相當渴望跳脫僵化與官僚的決策模式，尋求創新有效率的治理機制，另一方面開放政府資料已為國際化的趨勢，台灣於開放資料領域耕耘成果亦相當豐碩。本研究希望建置商業智慧平台，將開放資料轉換為無形的「智慧資本」，持續驅動創新有效率的「治理機制」，進而改善在地人民的生活品質。 本論文研究實作一網頁為基礎的商業智慧分析平台，工具包括資料包絡分析法、競爭者分析，透過探索式資料分析，使用者彈性操作指標與決策參數，反覆進行資料探索分析，進而了解（一）地方之競爭縣市與區域特色（二）各縣市相對治理績效（三）單一縣市之優勢產業。並藉由宜蘭縣的文創、觀光、環境此三個產業面向的資料為例說明。 本論文聚焦於使用前端框架技術—AngularJS之系統實作，藉由資料視覺化設計、提升使用者經驗，建置高擴充性的資料探勘分析的平台，更可滿足使用者一次購足的統計資料查詢環境。 / Facing the challenges of limited resources and budget constraints, regional governments have been actively pursuing strategies to transform conventional bureaucratic decision-making model into innovative and efficient governance mechanism. At the same time, “open government data” is becoming a political commitment for many countries and Taiwanese government has made significant advances in this respect recently. To leverage the trend for open public data, this thesis aims to develop a web-based business intelligence system to support efficient governance through in-depth analysis of intellectual capital. The tools provided in this system include data envelopment analysis (DEA), competitor identification, and exploratory data analysis. The system is designed to allow average users to experiment with different parameter settings and view the results interactively. Insights on competing counties and regional characteristics, relative governance efficiency and leading industry can be gained with ease. We illustrate the functionalities of the system using data from Yi-Lan County and investigate its competitiveness in three areas, namely, culture and creative industry, tourism, and environmental industry. AngularJS, a front-end framework, is utilized to implement the proposed business intelligence system. The objective is to provide a one stop shopping service for interactive data analysis and visualization with user friendly design and good extensibility.

智慧資本是夠幫助組織創造價值，並促進組織獲取競爭優勢的無形資產，這些資產不會出現在財務報表中，因此市場價值超出帳面價值的部分往往就是所謂的智慧資本；而區域智慧資本則是將探討的範疇從微觀之企業層級，拉高至宏觀之地區或國家層級。近年來隨著政治、經濟與社會文化的轉變，不論學者、企業家或政策制定者，他們認知到區域現象對地方及國家的成長、財富創造等扮演重要的角色，而在眾多促進區域發展的因素中，「智慧資本」成為主要的動力來源之一。雖然近二十多年來，陸續有學者提出對智慧資本的定義、分類與衡量之觀點及架構，然而，多數國內外文獻或研究單位主要探討的是微觀層級的智慧資本。 因此，本研究主要目的是以宜蘭縣為例子，採用資料盤點法，實際盤點國內各縣市三個產業發展─觀光、文創及農業之區域智慧資本量化與質化指標，以及採用資料包絡分析法與陳明哲動態競爭分析，探討各縣市區域智慧資本在個別產業底下的投入產出效率及競爭者辨識，藉此使區域智慧資本之理論能有系統地運用在實際之區域發展上。 研究結果為：第一，盤點後所採用之區域智慧資本指標有系統地被分類並彙總，有助於進行效率及競爭分析；第二，透過資料包絡分析法，得出宜蘭縣三產業的效率值及效率排名，再依據質化指標，給予適當的產業發展建議；第三，藉由陳明哲動態競爭，找出宜蘭縣各產業發展在資源相似性及市場共同性兩構面的競爭縣市，並依據質化指標，給予適當的產業發展建議。 / Intellectual capital is able to create value for organization(s) and is the intangible assets that promote organization(s) to gaining competitive advantages. These assets will not show on the financial statements; therefore, intellectual capital will a lot of times be the value difference seen between market value and book value. Regional intellectual capital on the other hand, is to raise the research scope from a microscopic enterprise level to a macroscopic regional or country level. In recent years, as changes are seen in politics, economy and society, scholars, entrepreneurs, and policy makers alike all acknowledged how regional phenomenon plays an important role in growth and wealth creation of the local and country. Among the many factors for encouraging regional development, “intellectual capital” has become the main source of motivation. In recent twenty years or so, scholars have come up with perspectives and structures of the meaning, categorizing, and measuring of intellectual capital; however, most domestic and foreign research are about microscopic levels of intellectual capital. This research collects regional intellectual capital indicators of each county/city’s three major industrial development—tourism, cultural and creative, and agriculture. Besides, the research takes Yilan County as an example and uses data developmental analysis (DEA) method and Chen’s competitive dynamics theory to analyze the efficiency and competitiveness. In the end, three conclusions are made: First, the regional intellectual capital indicators are categorized and gathered systematically, which is helpful to make the analysis. Second, the results shown from DEA express the operating efficiency situation of three industries in Yilan County. Third, through Chen’s competitive dynamic analysis, the competitive cities/counties of three industries in Yilan County can be found. And then, according to the results from DEA and Chen’s analysis, suggestions and improvements are put forward based on qualitative data.