摘要 在投資風險的考量下，合併財務報表能提供投資者完整的企業資訊。而合併財務報表的編製，並未隨著資訊科技的發展，仍多仰賴人工編製。可延伸企業報導語言（XBRL）的興起，提供企業一個揭露財務資訊的標準化規範，XBRL規範標準第二版利用可延伸連結語言（XLink）與可延伸路徑語言（XPath），進行科目元素間關連與處理規則的定義，更加了提升XBRL財務報導的彈性，並更利於延伸之應用。 本研究即根據XBRL規範標準第二版，利用XBRL合併財務報表分類標準套件之建立，進行XBRL合併財務報表的自動化編製，並提供XBRL合併財務報表，提升XBRL財務報導之資訊內涵。 本研究首先根據我國財務會計準則公報第七號「合併財務報表」之購買法處理規定，轉化編製準則為「標準等式」以利分類標準之建立與程式之撰寫。根據「標準等式」，進行資訊分類後，本研究依序建立「合併報表編製資訊分類標準架構」與「XBRL合併財務報表分類標準套件」。前者之目的在提供企業進行內部會計資訊的對應(Mapping)，並將合併報表編製所需之所有資訊，轉換為XBRL格式，以利合併報表自動化編製之進行。而「XBRL合併財務報表分類標準套件」則是利用XBRL連結庫與規則庫的規範，進行合併報表編製準則的描述，以利系統之開發。在完成分類標準的建立之後，本研究以一合併報表編製範例，並利用JAVA程式語言，實作合併報表範例編製系統，以驗證本研究建立之分類標準之可行性。 根據本研究實作範例系統之結果，不僅可以自動化編製XBRL合併財務報表，本研究利用XBRL規則庫進行編製準則之描述，亦提昇合併報表編製系統處理邏輯的正確性與維護便利性。此外，本研究擴充了XBRL之應用範圍，而不限於傳統之財務資訊分析，相關之會計領域問題，皆可利用本研究所建立之架構進行應用。 / Abstract Under the consideration of risk, consolidated reports provide a whole picture of a business entity. As the information age comes, consolidate reports are still prepared by hand. Extensible Business Reporting Language (XBRL) provides a standard format for business to disclose their financial information. The specification version 2.0 of XBRL, in which XML Linking Language (XLink) and XML Path Language (XPath) were adopted to define the relationships and processing rules of XBRL elements, increases the flexibility of XBRL reporting and provides an advantage to the development of XBRL application. This study, on the basis of specification version 2.0, focuses on the computerized preparation of consolidated financial reports by building up the “XBRL Consolidated Reports Taxonomy Package.” In addition to general XBRL-based financial information, business is also capable to disclose XBRL-based consolidated reports with this taxonomy package. Firstly, This study converts the accounting standards of purchase method defined by ROC statement of financial accounting standard no.7: “Consolidated Financial Reports” to several “Standard Formula” in order to build the taxonomies and implement the prototype system. After classifying the information of the standard formulae, this study creates the “Consolidated Reports Preparation Information Taxonomy Framework”, which provides a basis for business to map their internal chart of accounts. As the information mapping was done, business transfers all information (needed by preparation) to XBRL documents. After creating the framework, “XBRL Consolidated Financial Reports Taxonomy Package” was built up. According to the “XBRL Link Base” and “XBRL Rule Base”, this taxonomy package addresses the accounting standard of consolidated reports in the form of XBRL (XML) document. At last, this study gives a consolidating example and implements a prototype system by JAVA to verify the feasibility of the taxonomies created in this study. Based on the implementation of the prototype system, it is not only capable to prepare XBRL consolidated reports automatically but enhances the accuracy of the processing logic and the convenience to maintain the system in compliance with XBRL rule base. Moreover, this study extends the application area of XBRL, which focused on traditional financial information analysis. The structure of this study will be suitable for other accounting issues.

投資人在投資決策之過程中，所分析之資料可分為財務性與非財務性資訊兩大類，然而受限於傳統財務資料格式之不一致，可能需花費額外之財力與物力來處理，甚至浪費精力於資料的重新輸入。另一方面，非財務資訊在投資決策過程中日益重要，但其龐大的資訊揭露量卻往往徒增投資人閱讀與搜尋上之不便，甚至降低了可閱讀性。 有鑑於上述兩大投資分析不便之處，本研究運用文字探勘(Text mining)技術，嘗試處理股東會年報中與企業策略相關之非財務性資訊，以協助閱讀者有效率地分析、整理這些半結構化，甚至是非結構化文字資訊。另一方面，本研究利用可延伸企業報導語言(eXtensible Business Reporting Language, XBRL)不受軟體平台限制，可於網路上自由下載流通等特性，作為財務資訊之資料來源，同時建立一種新的分析模式，透過連結機制之設計以連接非財務性與財務性資訊，並運用ROMC系統分析法與雛型系統設計法完成本企業策略分析決策支援系統，希冀能協助投資人能於短時間內瞭解並印證標的公司之產業發展與競爭策略，提升決策品質。 / There are two main data types in investment decision process: financial and non-financial. Because the inconsistent of data type in traditional financial data, investors may have more additional costs to solve this problem. In addition, non-financial data become more and more important in investment decision process, but huge amount of non-financial disclosure may reduce the readability and increase the difficulty of searching. To solve the above problems, we try to use text mining technology to handle the semi-structured or unstructured non-financial data related to business strategies in the annual reports of public companies effectively and efficiently. In addition, we use XBRL (eXtensible Business Reporting Language) to be our financial data resources because of its interoperability and re-usability. We also develop a new analytic method to link financial and non-financial data together. Finally, we use two system methodologies: R.O.M.C. and prototyping to design and build our business strategy analysis decision support system in order to help investors understand and prove strategies in companies, and improve the decision quality which they make.

集團財務資訊的編制在企業資源規劃系統的協助下，產生的速度已較以往大為增快許多，然而，先不論相關系統的訓練、導入、維護及更新成本，目前的財務資訊仍舊需要多次的輸入、分發及反覆檢覈，這些步驟尚停在人工編製的階段。 XBRL（可延伸企業報告語言，eXtensible Business Reporting Language）的發展，使企業打破傳統財報的表單形式，它利用電腦可讀的標籤語言減少大量的傳統人力編製流程。後來更發展了財務報告的分類標準（以下簡稱XBRL FR），用來表達財務報表合計性的資訊，但這些處理過的加總數字，無法再還原為原始資料，故對於各國會計準則無法自動轉換，對於跨國公司的合併財務資訊依舊費時費力。 本研究首先依據國際會計準則委員會、臺灣、中國及美國官方所制定的XBRL FR進行分析及比較，建立一個新的XBRL FR，稱為NCCU XBRL FR，蒐集一般行業編制集團財務資訊之必要明細科目（僅包含所有流動資產和流動負債）。接者透過「對應標籤(mapping tags)」的技術，設計一邏輯規則庫，內建四種NCCU XBRL FR分別對應四地XBRL FR之「XBRL計算連結庫(XBRL Calculation Linkbase)」，即可自動轉換NCCU XBRL FR和四地XBRL FR的資訊。最後利用四地之原本XBRL FR計算連結庫，計算編製合併報表資訊前的個別報表資訊。 本研究提出多國準則探討及XBRL FR對應的方法，設計問卷並執行國內四大事務所之專家訪談，發現各國財務報表準則仍然受到會計專業的主觀判斷而分歧，未來全球財報共通的目標，還有很長的一段路要走。 / Because of the support of Enterprise Resource Planning system, business groups speed up their financial reporting preparation. Leaving aside the system cost of training, implemention, maintenance and update, its financial information still requires multiple inputs and distributions currently, and needs to repeatedly check their validity. These steps still remain at manual labor. XBRL (eXtensible Business Reporting Language) helps business to break the form of traditional financial reporting. It has machine-readable label tags, and it can reduce lots of traditional manual process. Financial Reporting Taxonomies (hereinafter referred to as XBRL FR) now are used to express the information of the total amount in financial statements. Because processed numbers can not revert to the original data, accounting principles adopted by nations around the world cannot switch amid different principles. Therefore consolidations of financial information still cost multinationals a lot of resources. In this study, based on analysis and comparison of International Accounting Standards Board, Taiwan, China and the United States official XBRL FR, we established a new XBRL FR, called NCCU XBRL FR, which is used to collect general commercial and industrial financial information (including only current assets and current liabilities). Then, we use mapping tags technology to design some logic rule database, which has four built-in XBRL Calculation Linkbases corresponding to four XBRL FRs. The logic rule database can automatically convert NCCU XBRL FR to four XBRL FRs. Ultimately, the original four XBRL FR Calculation Linkbases can compute individual financial statements before preparation of consolidated information. In this study, we proposed a method of multinational accounting standard discussion and XBRL FR mapping. We designed the questionnaire and conduct in-depth interviews to the experts of Big 4 audit firms. Then we found that there are differences in subjective judgments of multinational accounting standard. In the future, there will be a long way to go if we have the goal of common global financial reporting.