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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 資訊管理學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/34731
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor陳文賢(Wen-Hsien Chen)
dc.contributor.authorMing-Hung Hsiaoen
dc.contributor.author蕭銘宏zh_TW
dc.date.accessioned2021-06-13T06:25:20Z-
dc.date.available2007-01-26
dc.date.copyright2006-01-26
dc.date.issued2006
dc.date.submitted2006-01-22
dc.identifier.citation一、中文部份
[1] ARC遠擎管理顧問公司策略績效事業部譯,策略核心組織:以平衡計分卡有效執行企業策略(Robert S. Kaplan and David P. Norton, The Strategy-Focused Organization),臉譜出版,民國90年。
[2] 王遠忠,探討平衡計分卡在資訊服務業的運用-以外商資訊科技公司為例,民國92年。
[3] 朱道凱譯,平衡計分卡:資訊時代的策略管理工具(Robert S. Kaplan and David P. Norton, The Balanced Scorecard),臉譜出版,民國88年。
[4] 林隆潤,平衡計分卡之策略性指標與管理資訊系統整合之實證研究-以資訊軟體產業為例,民國94年。
[5] 陳正平等譯,策略地圖:串聯組織策略從形成到徹底實施的動態管理工具(Robert S. Kaplan and David P. Norton, Strategy Maps),臉譜出版,民國93年。
[6] 曾世民,花卉供應地理資料倉儲的設計與實作,國立交通大學工業工程與管理研究所碩士論文,民國92年。
[7] 鍾雯玫,以支援平衡計分卡為基礎之資料倉儲建置,國立台灣科技大學資訊管理研究所碩士論文,民國92年。
二、英文部份
[1] Alan R. Simon & Steven L. Shaffer, Data Warehousing and Business Intelligence for E-Commerce, Morgan Kaufmann Publishers, 2001.
[2] Barbara Wixom, Introduction to the Minitrack on Data Warehousing and Business Intelligence, Proceedings of the 37th Hawaii International Conference on System Sciences, 2004.
[3] BI: What is Business Intelligence?, DM Review, March 1999.
[4] Colin J. White, Sybase Adaptive Server IQ: A High-Performance Database for Decision Processing, DataBase Associates International, Inc., January 1999.
[5] Claire A. Simmers, A Stakeholder Model of Business Intelligence, Proceedings of 37th Hawaii International Conference on System Sciences, 2004.
[6] Codd E. F., Codd S. B., and Salley C. T., ”Providing OLAP(On-Line Analytical Processing) to User Analysts: An IT Mandate” White Paper, Arbor Software Corporation, 1993.
[7] Claire A. Simmers, A Stakeholder Model of Business Intelligence, Proceedings of the 37th Hawaii International Conference on System Sciences, 2004.
[8] Dave Browning and Joy Mundy, Data Warehouse Design Considerations, Microsoft Corporation, 2001.
[9] David Selby, Jottings from the Business Intelligence Jungle, APL'2002 Madrid Proceedings, 2002.
[10] Frank Bensberg, Controlling the Data Warehouse -a Balanced Scorecard approach, 25th Int. Conf. Information Technology Interfaces, 2003.
[11] G. Ioannou, A. Papalexandris, G. P. Prastacos and E. Soderquist, Implementing a Balanced Scorecard at a software development company, 2002.
[12] G. Vardangalos and A. Pantelis, An adaptable performance system based on the balanced scorecard approach for measuring performance of individuals and groups in a business environment, 10th Mediterranean Electrotechnical Conference, 2000.
[13] Hoelscher R., Business intelligence platforms boost ERP, Financial Executive, July 2002.
[14] Inmon W. H., Building the Data Warehouse, John Whiley & Sons, N.Y.,1996
[15] Joseph W. Graham II, Constructing a Student Data Warehouse, SIGUCCS’02, 2002.
[16] Kaplan, R.S., and D. P. Norton, The Balanced Scorecard: Measures that drive performance. Harvard Business Review, January- February 1992.
[17] Kaplan, R.S., and D. P. Norton, Using the Balanced Scorecard as a strategic management system. Harvard Business Review, January- February 1996.
[18] Kaplan, R.S., and D. P. Norton, Transforming the Balanced Scorecard from performance measurement to strategic management. Accounting Horizons, March 2001.
[19] Kaplan, R.S., and D. P. Norton, Double-Loop Management: Making Strategy a Continuous Process, Balanced Scorecard Collaborative, Harvard Business School Publishing, July- August 2000.
[20] Lee Garber, Katherine Glassey: Business Intelligence Is a Smart Move, IT Pro, 1999.
[21] Lilian Harada, Yuuji Hotta, Tadashi Ohmori, Detection of Sequential Patterns of Events for Supporting Business Intelligence Solutions, Proceedings of the International Database Engineering and Applications Symposium, 2004.
[22] M. Kathryn Brohman, The Business Intelligence Value Chain: Data-Driven Decision Support in a Data Warehouse Environment: An Exploratory Study, Proceedings of the 33rd Hawaii International Conference on System Sciences, 2000.
[23] Michael H. Brackett, Business Intelligence Value Chain, DM Review, March 1999.
[24] Matteo Golfarelli, Stefano Rizzi, and Luris Cella, Beyond Data Warehousing: What’s Next in Business Intelligence?, DOLAP, November 2004.
[25] Lian Hao, Gu Lei, and Wu Qidi, A Business Intelligence-Based Supply Chain Management Decision Support System, Proceedings of the 4th World Congress on Intelligence Control and Automation, June 2002.
[26] Liang Hao, Gu Lei and Wu Qidi, A Business Intelligence-Based Supply Chain Management Decision Support System, Proceedings of the 4' World Congress on Intelligent Control and Automation, 2002.
[27] Richard Gane, Nigel Haigh and Andy O’Brien, A balanced scorecard, Manufacturing Engineer, June 2002.
[28] Steven Mair, A Balanced Scorecard for a small software group. IEEE Software, December- November 2002.
[29] Sixto Ortiz Jr., Is Business Intelligence a Smart Move?, Industry Trends, July 2002.
[30] Steven Mair, A Balanced Scorecard for a Small Software Group, IEEE Software, 2002.
[31] Sixto Ortiz Jr., Is Business Intelligence a Smart Move?, I n d u s t r y Tr e n d s, 2002.
[32] Simon Fong and Serena Chan, Mining Online Users’ Access Records for Web Business Intelligence, IEEE, 2002.
[33] Ted J. Wasserman, Patrick Martin, and David B. Skillicorn, and Haider Rizvi, Developing a Characterization of Business Intelligence Workloads for Sizing New Database Systems, DOLAP’04, November 12–13, 2004, Washington, DC, USA., 2004.
[34] Wim Van Grembergen, Measuring and Managing E-business Projects through the Balanced Scorecard, Proceedings of the 35th Hawaii International Conference on System Sciences, 2002.
[35] Wingyan Chung, Hsinchun Chen, Jay F. Nunamaker Jr., Business Intelligence Explorer: A Knowledge Map Framework for Discovering Business Intelligence on the Web, Proceedings of the 36th Hawaii International Conference on System Sciences, 2002.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/34731-
dc.description.abstract平衡計分卡是近年來相當受到重視的策略管理工具,它可以建構四個構面的策略指標,包含財務構面,顧客構面,企業內部流程構面,學習與成長構面,並指出企業的策略發展方向。商業智慧系統則可以將企業分散於不同地方的資訊匯整起來,進行全面地解讀及分析,能增進企業的資訊整合與資訊分析的能力,大幅增進決策效率與改善決策品質。如果能將以上二者加以整合應用,將可大幅縮小策略面與執行面的落差。
  本研究主題即在於整合平衡計分卡與商業智慧系統,並建置一套整合二者的應用系統。首先,本研究先彙整出資訊軟體公司的平衡計分卡及策略地圖。接著,針對平衡計分卡的運作流程提出一套詳細的回饋流程,以這套回饋流程為基礎,將商業智慧系統加以整合應用。這回饋流程包含檢視、分析、決策三個階段,應用的系統則包括資料倉儲(Data Warehouse),商業智慧入口網站(Business Intelligence Portal),線上分析處理(OLAP),資料採礦(Data Mining),及相關的統計分析工具。
zh_TW
dc.description.abstractBalanced Scorecard (BSC) has been an important strategic management tool in recent years. It helps companies build strategic indicators in four perspectives composed of financial , customer, internal business processes, as well as learning and growth perspectives. Besides, BSC can also be used to indicate the strategic development direction of the company. Business Intelligence Systems (BIS) integrate the information located in various places. BIS enhance the company’s capability of explanation and analysis of the information thoroughly, improving decision efficiency and decision quality in a higher level. If we can integrate BSC and BIS properly, the gap between strategic perspective and execution perspective would be largely narrowed.
The objective of this study is to integrate BSC and BIS, combined by the implement of an application system. First of all, we collect related information to build BSC and the strategy map for a software company. Secondly, a detailed feedback flow is developed by the operation flow of balanced scorecard, sufficiently integrating and applying to BIS composed of data warehouse, business intelligence portal, OLAP, data mining, and related statistics tools. It requires three steps, including viewing, analysis, and decision-making.
en
dc.description.provenanceMade available in DSpace on 2021-06-13T06:25:20Z (GMT). No. of bitstreams: 1
ntu-95-R92725043-1.pdf: 2425610 bytes, checksum: 7268b2d473d8fd4df48b6e6e7234bddb (MD5)
Previous issue date: 2006
en
dc.description.tableofcontents論文摘要 三
表次 七
圖次 八
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的 2
第三節 研究流程 3
第四節 論文架構 4
第二章 文獻探討 5
第一節 平衡計分卡 5
一、平衡計分卡的演進 5
二、平衡計分卡 7
三、策略核心組織 13
四、策略地圖 16
第二節 商業智慧系統 19
一、商業智慧的定義 19
二、商業智慧的功能 19
三、商業智慧系統架構 21
四、資料倉儲(Data Warehouse) 23
五、線上分析處理(OLAP) 28
六、資料採礦(Data Mining) 29
第三章 資訊軟體公司的平衡計分卡 30
第一節 資訊軟體公司相關平衡計分卡文獻整理 30
第二節 資訊軟體公司的平衡計分卡衡量指標 36
第三節 資訊軟體公司的策略地圖 40
第四章 平衡計分卡與商業智慧系統整合應用 42
第一節 系統功能面 42
一、平衡計分卡與商業智慧系統關係架構 42
二、平衡計分卡與商業智慧入口網站 44
三、平衡計分卡與資料倉儲 45
四、平衡計分卡與線上分析處理 46
五、平衡計分卡與資料採礦 47
第二節 企業流程面 48
一、平衡計分卡運作流程 48
二、平衡計分卡回饋流程 51
三、平衡計分卡回饋流程與商業智慧系統整合應用 55
四、檢視階段的系統運作流程 57
五、分析階段的系統運作流程 59
六、決策階段的系統運作流程 62
第五章 系統設計與建置 64
第一節 系統架構與技術 64
第二節 系統設計流程 68
第六章 系統展示與操作 90
第一節 檢視階段系統功能展示 90
第二節 分析階段系統功能展示 92
第三節 決策階段系統功能展示 94
第四節 整合應用功能展示 98
第七章 結論與未來研究建議 108
第一節 結論 108
第二節 未來研究建議 110
參考文獻 111
附錄 各量度運算式列表 115
dc.language.isozh-TW
dc.subject線上分析處理zh_TW
dc.subject資料倉儲zh_TW
dc.subject商業智慧zh_TW
dc.subject資料採礦zh_TW
dc.subject平衡計分卡zh_TW
dc.subjectBalanced Scorecarden
dc.subjectBusiness Intelligenceen
dc.subjectData Warehouseen
dc.subjectOLAPen
dc.subjectData Miningen
dc.title平衡計分卡與商業智慧系統整合應用之研究-以資訊軟體公司為例zh_TW
dc.titleA Study on the Integrated Application of Balanced Scorecard and Business Intelligence Systems - a case of a software companyen
dc.typeThesis
dc.date.schoolyear94-1
dc.description.degree碩士
dc.contributor.oralexamcommittee曹承礎(Seng-Cho Chou),林永松(Yung-Sung Lin)
dc.subject.keyword平衡計分卡,商業智慧,資料倉儲,線上分析處理,資料採礦,zh_TW
dc.subject.keywordBalanced Scorecard,Business Intelligence,Data Warehouse,OLAP,Data Mining,en
dc.relation.page118
dc.rights.note有償授權
dc.date.accepted2006-01-23
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept資訊管理學研究所zh_TW
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