本研究旨在了解華語中道歉言語行為的語碼形式之建構方式與使用規範。本研究以Searl（1969）的言語行為理論為基礎，配合Leech（1983）的禮貌原則、Grice（1975）的合作原則等，分析解釋不同的道歉用語在誠意程度與禮貌程度上之表現。 為達研究目的，本研究以問卷調查方式以及訪談做為研究工具，有效問卷總計48份，訪談人數8人。問卷調查的內容將道歉用語分為四大項目：「核心詞」、「導語」、「複合詞」（包括核心詞＋導語、導語＋核心詞、與導語＋導語）。於情境設計下以「輕微冒犯」以及「嚴重冒犯」作為檢測分類，調查這些道歉用語誠意程度以及禮貌程度。 調查結果發現，使用者的性別、年齡、和教育程度對道歉用語的擇用不具顯著影響力，但冒犯事件的嚴重程度與道歉用語之間有顯著相關。研究結果歸結如下：（一） 「核心詞」單獨使用時，其誠意程度以及禮貌程度取決於字詞內容的遂行力量（Perlocutionary force），原則上，遂行力量越強，誠意程度與禮貌程度就越強；反之亦然。但是，道歉用語誠意程度與禮貌程度的表現會搭配冒犯情境的嚴重程度，不過低亦不過高。（二）於「複合詞」中，凡是含有「賠償」內容的導語，其誠意程度以及禮貌程度必定大於不含「賠償」內容的「複合詞」。（三）於道歉言語行為中，「複合詞」（包含「核心詞＋導語」以及「雙重導語」）的誠意程度以及禮貌程度皆大於單獨使用「核心詞」或「導語」。（四）「核心詞＋導語」與「導語＋核心詞」在詞序上的不同，就誠意程度與禮貌程度而言，並無顯著差別。 根據上述研究結果，本研究對華語教學提出相關建議，建議華語教師進行道歉用語教學時，應教導學生語碼形式與語碼使用功能之間互為搭配的觀念。課堂中應提供學生道歉行為的社會語用原則，讓學生在進行道歉行為時，能擇用適當的語碼形式。

本研究以中國大陸2001至2007年於上海證券交易所之上市企業共98家，包括於2003年率先參與XBRL申報計畫之企業共49家，以及其他未採用XBRL申報財報之49家企業作為對照組進行實證分析，以探討中國大陸率先以XBRL格式申報財務資訊的企業群組，相較於非以XBRL格式申報之企業群組，是否企業對於採用XBRL之決策中會受到自身公司治理因素構成與表現影響，使率先採用之企業與非率先採用企業之公司治理因素有顯著之差異，並進一步探究各公司治理構面與採用XBRL之關連性。本研究於整理相關文獻後，根據國內外文獻之公司治理因素之評等架構，並將公司治理因素之變數分為董監事組成、股權結構、管理型態、與大股東介入股市等四個構面。 本研究之實證結果顯示，董監事組成、股權結構、管理型態與大股東介入股市構面皆對公司治理有整體或部份顯著的影響。以個別因素觀之，則發現監事規模、最大股東持股比、次大股東持股比、董事長與總經理是否兼任與大股東股權質押比具有顯著相關，代表監事規模越高，最大股東及次大股東持股比例越低，董事長與總經理兼任情形較高，或者股權質押比越低時，會增加企業率先採用XBRL申報財務資訊之可能性。 / This paper examines whether early and filers of financial information in XBRL format demonstrate superior corporate governance relative to their non-adopting peers. The corporate governance was composed of the composition of director and supervisor, ownership structure, administration style and pledge. Data of 98 listing companies from Shanghai Stock Exchange in China and nine corporate factors are used in our logistic regression model. The empirical analysis implies that board member structure, ownership structure, administration style and pledge -related factors have significant association with the adoption of XBRL in China.

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.

本研究以中國大陸2003年所推動之XBRL自願申報計畫為例，探討率先以XBRL格式申報財務資訊之企業，相較於未率先申報之企業，其經營績效之表現是否較佳？並進一步檢視企業率先申報XBRL之行為與各經營績效層面之關聯性。研究樣本為2000年至2009年於上海證券交易所上市之90家公司，分為兩個群組：一組為參與自願申報計畫之公司共45家，另一組為未參與申報計畫之對照組。在經營績效之衡量部分，本研究依據國內外之文獻探討，將經營績效區分為五個衡量層面：長期償債能力、流動性、獲利能力、經營效率與成長力，並分別以負債比率、流動比率、純益率、股東權益報酬率、總資產週轉率與營收成長率等財務比率做為各層面之衡量指標。 本研究之實證結果顯示，負債比率、流動比率、純益率、股東權益報酬率與總資產週轉率皆呈現顯著相關，證明率先以XBRL格式申報財務資訊之企業群組，在長期償債能力、流動性、獲利能力與經營效率方面之表現皆優於對照組。期望此研究結果能提供資本市場一有用訊息，做為投資人形成投資決策時之參考。 / In 2003, Shanghai Stock Exchange of China promoted a program encouraging companies to voluntarily file financial information using XBRL format. This paper examines whether these early and voluntary filers of financial information in XBRL format demonstrate superior operating performance relative to their non-adopting peers. Samples of this study include 90 listed companies of Shanghai Stock Exchange from 2000 to 2009. Half of them are voluntary filers and the others are the non-adopting peers. The measure of operating performance is divided into five levels: long-term solvency, liquidity, profitability, operating efficiency and growth capacity. Debt ratio, current ratio, net profit margin, return on equity, total assets turnover and sales growth rate are used as the indicators of these measurement levels, respectively. The empirical results of this study show that debt ratio, current ratio, net profit margin, return on equity and total assets turnover are significant, which mean that early and voluntary filers of financial information in XBRL format have superior performance in long-term solvency, liquidity, profitability and operating efficiency. These findings should provide a useful message to the capital market, as investors concern when forming investment decisions.

為改善資訊揭露環境，並增進上市公司的資訊透明度，上海證券交易所在2004年起對所有上市公司強制實施XBRL財務報導格式，本研究檢驗強制實施XBRL財務報導格式對於公司經營績效之影響，以上海證券交易所上市公司為研究對象，研究期間為2003年至2010年，並考慮中國國有企業的特色，將樣本公司分為國有企業與民營企業，分別檢視強制實施XBRL財務報導格式對其經營績效之影響。基於中國國有企業之組織特性，本研究假設僅有民營企業可獲益於強制實施XBRL財務報導格式，並因此提升經營績效。實證結果顯示，確實僅有民營企業獲得XBRL財務報導的效益，在強制實施XBRL財務報導格式後經營績效提升，但由於組織特性的關係，強制實施XBRL財務報導格式的預期效益並未顯現在國有企業，對中國國有企業來說，資訊透明度與外部監督的提升不足以解決其經營上之代理問題。

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.