探討影響資料倉儲建置之因素-以證券業為例

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劉固明(Gug-Ming Liu) 查詢紙本館藏

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資訊管理學系

論文名稱

探討影響資料倉儲建置之因素-以證券業為例

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摘要(中)

隨著企業營運時間的增長與資訊系統涵蓋範圍的增廣，企業內部的資料量同時跟著增加，如何運用這些龐大的資料，進而從中取得重要資訊，成為現代企業重要議題之一。
而資料倉儲系統滿足了企業這項需求，資料倉儲系統幫助企業整合這些資料，使之成為對企業有用的資訊。除此之外，資料倉儲更是商業智慧與決策支援中重要的一環，以資料倉儲作為組織資料分析的基礎及管理組織知識的主要平台，即成為組織中最重要的資訊資產。
雖然，資料倉儲的運用不僅在北美地區已漸為普及，國內企業建置資料倉儲的比例也日漸增多，然而資料倉儲的建置是一項昂貴、複雜、高風險的投資，國內又缺乏相關實證議題的探討。因此本研究針對資料倉儲系統建置的相關影響因素加以探討。
影響資訊系統建置或導入的因素，過去已有許多學者以不同的觀點加以探討。本研究根據過去文獻，不僅從以往影響資訊系統導入的關鍵因素(如高階主管支持、使用者參與)，也從資料倉儲系統特有的影響因素(如來源系統)加以探討，並參酌相關文獻之架構來加以探討。
相關文獻指出，採用資料倉儲系統主要為企業為資訊密集產業，如金融服務業、電信業與零售業等。本研究的研究對象設定為國內證券業者，經由電話訪問方式得知業者是否有導入或建置資料倉儲系統，在針對已有資料倉儲系統之業者進行問卷調查。
經由本研究發現，以往影響資訊系統的關鍵因素，部份仍顯著地影響著資料倉儲系統的建置，如高階主管的支持正向影響著資料倉儲在組織層級的導入成功，而專案資源與使用者參與正向影響著資料倉儲在專案層級的成功。而資料倉儲系統在組織層級的導入成功正向影響資料倉儲系統的系統品質、與資料品質；專層級的導入成功又影響資料倉儲系統的系統品質。最終，資料倉儲系統的系統品質正向影響著組織中資料提供者所感受到效益的增加。

關鍵字(中)

★ 資料倉儲
★ 影響因素

關鍵字(英)

★ implementing factors
★ data warehouse

論文目次

目錄……………………………………………………………………I
圖次……………………………………………………………………III
表次……………………………………………………………………IV
第一章緒論………………………………………………………………………1
第一節研究背景與動機............................................ 1
第二節研究目的.................................................. 4
第三節研究流程.................................................. 4
第四節研究架構描述.............................................. 5
第二章文獻探討…………………………………………………………7
第一節資料倉儲與資料倉儲在證券業之應用.......................... 7
第二節資料倉儲系統成功......................................... 11
第三節資料倉儲系統建置成功..................................... 13
第四節資料倉儲導入因素......................................... 15
第三章研究設計……………………………………………………… 21
第一節研究架構與方法........................................... 21
第二節研究變數與假說........................................... 22
第三節研究方法與研究工具....................................... 31
第四節資料分析方法............................................. 35
第四章資料分析……………………………………………………… 36
第一節問卷回收情形及基本資料分析............................... 36
第二節衡量指標與信度、效度檢測................................. 39
第三節相關性分析............................................... 43
第四節研究假說檢定............................................. 46
第五章結論與建議…………………………………………………… 52
第一節研究發現................................................. 52
第二節研究限制................................................. 55
第三節研究建議................................................. 56
參考文獻…………………………………………………………… 59
附錄.......................................................... 65

參考文獻

1.Cooper, Donald R. & Emory, C. William著，古永嘉譯，企業研究方法，台北，華泰，民85。
2.IBM商用服務器事業群，“企業管理最新戰力—資料倉儲教戰守則”，資訊與電腦，1998/09，頁69-73。
3.吳良榮，“證券金融業電子化顧客關係管理策略之研究”，國立台北科技大學碩士論文，2002年6月，p.12-14。
4.Ancona, D. G., and Caldwell, D.F. “Bridging the Boundary,” Administrative Science Quarterly (37:4), 1992, pp.634-666.
5.Banker, R. D., and Kauffman, R. J. “ Reuse and Productivity in Integrated Computer-Aided Software,” MIS Quarterly (15:3), 1991, pp. 375-402.
6.Barquin, R. C., and Edelstein, H. “Planning and Designing the Data Warehouse,” Prentice Hall, Uppersaddle River, NJ, 1997.
7.Beath, C. M. “Supporting the Information Technology Champion,” MIS Quarterly (15:3), 1991, pp. 355-371.
8.Begeron, F., and Raymond, L. “Managing EDI for Competitive Advantage: A Longitudinal Study,” Information & Management (31), 1997, pp. 319-333.
9.Bischoff, J. and Alexander, T. “Data Warehouse: Practical Advice from the Experts,” Prentice Hall, Upper Saddle River, NJ, 1997.
10.Brooks, F. P. “The Mythical Man-Month: Essays on Software Engineering,” Addison Wesley, Reading , MA, 1975.
11.Cooper, B. L., Watson, H. J., Wixom, B. H., and Goodhue, D. L., “Data Warehousing Supports Corporate Strategy at First American Corporation,” MIS Quarterly, (24:4), 2000, pp. 547-567.
12.Constantine, L. L. “Work Organizations: Paradigms for Project Management and Organization,” Communications of the ACM (36:10), 1993, pp. 35-42.
13.Davis, F. “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” MIS Quarterly (13:3), 1989, pp. 319-339.
14.DeLone, W. H., and McLean, E. R. “Information Systems Success: The Quest for the Dependent Variable,” Information Systems Research (3:1), 1992, pp. 60-95.
15.Duncan, N. B. “Capturing Flexibility of Information Technology Infrastructure: A Study of Resource Characteristics and Their Measure,” Journal of Management Information Systems (12:2), 1995, pp. 37-57
16.Eckerson, W. W. “Post-Chasm Warehousing,”Journal of Data Warehousing (3:3), 1998, pp. 38-45.
17.Eckerson, W. W. Evolution of Data Warehousing: The Trend Toward Analytical Applications, The Patricia Seybold Group, April 28, 1999, pp. 1-8.
18.Ein-Dor, P., and Segev, E. “Organizational Context and the Success of Management Information Systems,” Management Science (24:10), 1978, pp. 1064-1077.
19.Finlay, P. N., and Mitchell, A. C. “Perceptions of the Benefits from the Introduction of CASE: An Empirical Study,” MIS Quarterly (18:4), 1994, pp. 353-371.
20.Garrity, E. J. and Sanders, G. L. “Information Success Measurement,” Idea Group Publishing, Hershey, PA, 1998.
21.Goodhue, D. L., Quillard, J. A., and Rockart, J. F. “Managing the Data Resource: A Contingency Perspective,” MIS Quarterly (12:3), 1988, pp. 373-392.
22.Goodhue, D. L., Wybo, M. D., and Kirsch, L. J. “ The Impact of Data Integration on the Costs and Benefits of Information Systems,” MIS Quarterly (16:3), 1992, pp. 293-311.
23.Gray, P., and Watson, H. J. “Decision Support in the Data Warehouse,” Prentice Hall, Upper Saddle River, 1998.
24.Guimares, T., Igbaria, M., and Lu, M. “The Determinants of DSS Success: An Integrated Model,” Decision Sciences(23), 1992, pp. 409-430.
25.Haley B. “Implementing Successful Data Warehouses,” Journal of Data Warehousing (3:2), 1998, pp. 48-51
26.Hartwick, J., and Barki, H. “Explaining the Role of User Participation in Information System Use,” Management Science (40:4), 1994, pp. 440-465.
27.Hammergren, T. “Data Warehousing Biilding the Corporate Knowledge Base,” International Thomson Computer Press,1996.
28.Howell, J. M., and Higgins, C.A. “Champions of Technological Innovations,” Administrative Science Quarterly (35:2), 1990, pp. 317-341.
29.Inmon, W. H., “Building the Data Warehouse,” John Wiley & Sons, Inc., 1996
30.Karahanna, E., Straub, D. W., and Chervany, N. L. “Information Technology Adoption Across Time: Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs,” MIS Quarterly (23:2), 1999, pp. 183-213.
31.Kelly, S. “Data Warehousing in Action,” John Wiley & Sons, Chichester, 1997.
32.Kimball, R. “The Data Warehouse Toolkit,” John Wiley & Sons,1996.
33.Kraemer, K. L., Danzinger, J. N., Dunkle, D. E., and King, J. L. “The Usefulness of Computer-Based Information to Public Managers,” MIS Quarterly (17:2), 1993, pp. 129-148.
34.Lewin, K. “Field Theory in Social Science: Selected Theoretical Papers,” Harper and Brothers, New York, 1951.
35.Lyon, J. “Customer Data Quality: Building the Foundation for a One-to-One Customer Relationship,” Journal of Data Warehousing (3:2), 1998, pp. 38-47.
36.Maish, A. M. “A User’s Behavior Toward His MIS,” MIS Quarterly (3:1), 1979, pp.39-52.
37.Maleod, J. C. ”Building competitive through data warehousing,” Wall Street & Technology,vol.13,Iss.11,Nov 1995, pp. 52-54.
38.Markus, M. L. “Power, Politics, and MIS Implementation,” Communications of the ACM (26:6), 1983, pp. 430-444.
39.Markus, M.L.,and Robey,D. “Information Technology and Organizational Change: Causal Structure in Theory and Research,” Management Science (34:5), 1988, pp. 583-598.
40.Melone, N. “A Theoretical Assessment of the User-Satisfaction Construct in Information Systems Research,” Management Science (36:1), 1990, pp. 76-91.
41.Microsoft Corporation, Designing and Implementing OLAP Solutions with Microsoft SQL Server 2000 Workbook, Microsoft Press, 2001.
42.Moore, G., and Benbasat, I. “Development of an Instrument to Measure the Perceptions of Adopting and Information Technology Innovation,” Information System Research (2:3), 1991, pp. 192-222.
43.Perkins, A. “Critical Success Factors for Data Warehouse Engineering,” The Data Administration Newsletter Issue 11&12, 2000
44.Pitt, L., Watson, R. T., and Kavan, C. B. “Service Quality: A Measure of Information Systems Effectiveness,” MIS Quarterly (19:2), 1995, pp. 173-185.
45.Reich, B. H., and Benbasat, I. “An Empirical Investigation of Factors Influencing the Success of Customer-Oriented Strategic Systems,” Information Systems Research (1:3), 1990, pp. 325-347.
46.Rist, R. “Challenges Faced by the Data Warehousing Pioneers,” Journal of Data Warehousing (2:1), 1997, pp. 63-72.
47.Seddon, P. “A Respecification and Extension of the DeLone and McLean Model of IS Success,” Information Systems Research (8:3), 1997, pp. 240-253.
48.Seddon, P. B., and Kiew, M-Y. “ A Partial Test and Development of the DeLong and McLean Model of IS Success,” in Proceedings of the International Conference on Information Systems, J. I. DeGross, S. L. Huff, and M. C. Munro(eds.), Vancouver, Canada, 1994, pp. 99-110.
49.Shanks, G., and Darke, P. “ A Framework for Understanding Data Quality,” Journal of Data Warehousing, (3:3), 1998, pp. 46-51.
50.Tait, P. and Vessey, I. “The Effect of User Involvement on System Success: A Contingency Approach,” MIS Quarterly (12:1), 1988, pp. 91-108.
51.Vandenbosch, B., and Huff, S.L. “Searching and Scanning: How Executives Obtain Information from Executive Information Systems,” MIS Quarterly (21:1), 1997, pp. 81-107.
52.Vandenbosh, B. and Huff, S. L. “Searching and Scanning: How Executives Obtain Information from Executive Information Systems,” MIS Quarterly (21:1), 1997, pp. 81-107.
53.Vatanasombut, B., and Gray, P. “Factors for success in Data Warehousing: What the Literature Tells Us,” Journal of Data Warehousing (4:3), 1999, pp. 25-33.
54.Wand, Y., and Wang, R. Y. “Anchoring Data Quality Dimensions in Ontological Foundations,” Communications of the ACM (39:11), 1996, pp. 86-95.
55.Wang, R. Y., and Strong, D. M. “Beyond Accuracy: What Data Quality Means to Data Consumers,” Journal of Management Information Systems (12:4), 1996, pp. 5-34.
56.Watson, H. J., Annino, D. A., Wixom, B. H., Avery, K. L. and Rutherford, M., “Current Practices in Data Warehousing,” Information Systems Management, Winter 2001, pp. 47-55.
57.Watson, H. J., Gerard, J. G., Gonzalez, L. E., Haywood, M. E., and Fenton, D. “Data Warehousing Failures: Case Studies and Findings,” Journal of Data Warehousing (4:1), 1999, pp. 44-55.
58.Watson, H. J., Haines, M., and Loiacono, E. T. “The Approval of Data Warehousing Projects: Finding from Ten Case Studies,” Journal of Data Warehousing (3:3), 1998, pp. 29-37.
59.Watson, H. J., and Haley, B. J. “Data warehousing: A Framework and Survey of Current Practices,” Journal of Data Warehousing (2:1), 1997, pp. 10-17.
60.Wetherbe, J. C. “Executive Information Requirements: Getting It Right,” MIS Quarterly (15:1), 1991, pp. 51-66.
61.Wixom, B. H., and Watson, H. J., “An Empirical Investigation of the Factors Affecting Data Warehousing Success,” MIS Quarterly , (25:1), 2001, pp. 17-41.
62.Wybo, M. D., and Goodhue, D. L. “Using Interdependence as a Predictor of Data Standards: Theoretical and Measurement Issues,” Information & Management (29:6), 1995, pp. 317-330.
63.Yoon, Y., Guimares, T., and O’Neal, Q. “Exploring the Factors Associated with Expert Systems Success,” MIS Quarterly (19:1), 1995, pp. 83-106.
64.Zhuge, Y., Garcia-Molina, H., Hammer, J. and Widom, J. ”View Maintenance in a Warehousing Environment,Proc. ACM SIGMOD, 1995

指導教授

范懿文(Yi-Wen Fan)

審核日期

2003-6-26

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