本研究在學術上的貢獻有:(1) 本研 究所提出的概念性知識管理系統架構,結 合 Ontology、Agent、Data Mining 等相關 資訊技術及組織記憶相關觀念,應用於知 識管理,幫助組織的日常營運;(2) 含括 Lai & Chu(2000)所提之知識管理的產生、
模式化、儲存、分配及轉移、使用各階段;
(3) 提供一個整合的環境,容許公私知識 存放的空間,可讓使用者搜尋必要知識以 協助日常營運,同時也收集一些知識,減 輕使用者額外輸入知識的負擔。(4) 以標 準的知識結構儲存在知識庫中,不但可以 幫助組織記憶,累積其處理知識,而且可 以促成組織內的知識分享,進而幫助組織 學習以及組織創新。
對 企 業 的 貢 獻 有 : (1) 實作一個系 統,該系統具有輔助性及擴充性,可供企 業在開發知識管理系統時的參考;(2) 提 供容易操作的介面,使員工可以輕鬆使 用,以協助其日常業務的處理,並進而提 昇其效率及效益;(3) 協助組織知識的運 用及有效率的傳承,對公司策略影響非常 重要;(4) 協助組織的日常營運,而且能 蓄積組織記憶、鼓勵個人創新、協助其新 人訓練、幫助組織創造競爭優勢。
本研究在實作上的研究限制有:(1) 伺服器端模組並無圖形的操作介面去管控 及維護,管理者必須對 Java 語言有ㄧ定程 度的了解。(2) 除非純訓練,否則假設員 工所觀看的,即是其實際的作法。(3) 不 管員工是否真想觀看情境知識,均需將其 處理作法記錄下來,因此,原制式流程組 成中含有分歧結構時,則員工需告知系統 各分叉點之選擇。(4) 不管是否觀看處理 情境知識,若流程中有包含分叉的子流 程,均需順著所選擇的子流程組成走下 去,不能回溯到選擇點之前,如果要回溯
(可能是顧客遺忘、說法反覆、或客服人 員選錯方向等),就需重新登入此流程,
重新順著新選擇的子流程組成走下去。(5) Ontology 樹的設計,是採用樹狀結構(Tree Structure)的開發與應用,並未擴展到網路 結構(Network Structure)的設計,也就是本 研究的 Ontology 樹,並不能適用於網路
結構的搜尋應用。
對培育人才的貢獻有:(1) 本計畫的 參與的博、碩士生可學習到知識管理、
Ontology、Agent、Data Mining 及組織記 憶等相關技術、與觀念的運用與整合;(2) 可由此案的系統建置中學習到一個整合性 的系統發展歷程。
在後續研究上,未來可進行的發展方 向 包 含 : (1) 可 以 繼 續 定 義 更 周 全 的 Ontology 樹,以適用於更多不同的業務範 圍;(2) 可以收集更多的企業營運知識,
以擴張此系統可以應用到企業的其他部 門;(3) 建立系統的評估與回饋機制,使 此系統能維持與更新;(4) 建立員工的獎 勵機制,使此系統中的組織知識能不斷的 創新與蓄積。
計畫成果自評
研究內容與原提出計畫相符,由上述 結論可以看出達成之預期目標包含:創新 模式架構之提出及系統雛形之建立,並在 此過程中培育人才。學術價值高,也有應 用價值,可供企業參考。相關之成果,目 前已參與「2004 資訊管理應用與發展研討 會」,並正在改寫成論文,期待發表於國 內外之期刊。
參考文獻
【1】 Agrawal, R. and Srikant, R., “Mining Sequential Patterns,” IEEE 11th International Conference on Data Engineering, Taipei, Taiwan, March 1995.
【2】 Alavi, M., and Leidner, “Review: Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues,” MIS Quarterly, Vol. 25, No.
1, March 2001, pp. 107-136.
【3】 Balasubramanian, P., Nochur, K., Henderson, J. C., and Kwan, M. M., “Managing Process Knowledge for Decision Support,” Decision support systems, Vol. 27, 1999, pp. 145-162.
【4】 Berry, J., “Database Marketing: A Poent New Tools for Selling,” Business Week, September 5, 1994, pp. 56.
【5】 Bonara, E. A. and Revang, “A Strategic Framework for Analyzing Professional Service Firms-Development Strategic for Sustained Performance,” Strategic Management Society Interorganizational Conference, Toronto, Canada, 1991.
【6】 Bose, R., “CMS: An Intelligent Knowledge-Based Tool for Organizational Procedure Modeling and Execution,” Expert Systems with Applications, Vol. 8, No. 1, 1995, pp. 1-21.
【7】 Bradshaw, D., Next Generation Call Centers-CTI, Voice and the Web, http://www.ovum.com/, 1999.
【8】 Brown, J. S., and Duguid, P., “Organizing Knowledge,” California Management Review, Vol. 40, No. 3, 1998, pp. 90-111.
【9】 Brown, C., Gasser, L., O’Leary, D. E., and Sangster, A., “AI on the WWW Supply and Demand Agents,” IEEE Expert, Vol.10, 1995, pp.50-55.
【10】 Cabeba, P., Hadjinian, P., Stadler, R., Verhees, J., and Zanasi, A., Discovering Data Mining from Concept to Implementation, New Jersey, Prentice Hall PTR, 1998.
【11】 Chandrasekaran, B., Josephson, J. R., and Benjamins, V. R., “What Are Ontologies, and Why Do We Need Them,” IEEE Intelligent Systems, Vol. 14, Jan.-Feb. 1999, pp. 20-26.
【12】 Chen, H., Chung, Y. M., Marshall, R., and Christopher, C. Y., “An Intelligent Personal Spider (Agent) for Dynamic Internet/Intranet Searching,” Decision Support Systems, Vol. 23, 1998, pp. 41-58.
【13】 Cleveland, B., and Minnucci, J.,
“Developing The E-Enabled Call Center:A Strategic Perspective,” Business Communications Review, June 2000, pp.
44-50.
【14】 Cohen, D., “Toward a Knowledge Context: Report on the First Annual UC Berkeley Forum on Knowledge and the Firm,” California Management Review, Vol.
40, No. 3, 1998, pp. 22-39.
【15】 Conklin, J., and Begeman, M. L., “gIBIS:
A Hypertext Tool for Exploratory Policy and Discussion,” ACM TOIS, Vol. 6, No. 4, 1988, pp. 303-331.
【16】 Cook, S. D. N., and Yanow, D., “Culture and organizational learning,” Journal of Management Inquiry, Vol. 2, No. 4, 1993, pp.373-390.
【17】 Curtis, B., Kellner, M. I., and Over, J.,
“Process Modeling,” Communications of the ACM, Vol. 35, No. 9, 1992, pp. 75-90.
【18】 Davenport, T. H., and Prusak, L., Working Knowledge: How Organizations Know What They Know, Harvard Business Press, 1998.
【19】 Decker, K., Lesser, V., Prasad, M. V. N., and Wanger, T., “MACRON: An Architecture for Multi-Agent Cooperative Information Gathering,” Proc. of the CIKM Workshop on Intelligent Information Agents, 1995.
【20】 Drucker, P. F., Managing in a Time of Great Change, Truman Talley, New York, 1995.
【21】 Duncan, R., and Weiss, A.,
“Organizational Learning: Implications for Organizational Design,” Research in Organizational Behavior, Vol. 1, 1979, pp.75-123.
【22】 El-Sawy, O. A., Gomes, G. M., and Gonzalez, M. V., “Preserving Institutional Memory: The Management of History as an Organizational Resource,” Academy of Management Best Paper Proceedings, Vol. 37, 1986, pp. 118-122.
【23】 Etzioni, O., and Weld, D. S., “Intelligent Agents on the Internet: Fact, Fiction, and Forecast,” IEEE Expert, August 1995, pp.
44-49.
【24】 Fayyad, U. M., “Data Mining and Knowledge Discovery: Making Sense out of Data,” IEEE Expert, Vol. 11, No. 5, October 1996, pp.20-25.
【25】 Fernandez-Breis, J. T., and Martinez-Bejar, R., “A Cooperative tool for Facilitating Knowledge Management,” Expert Systems with Applications, Vol. 18, 2000, pp.
315-330.
【26】 Fitzmaurice, G., Form-centered Workflow Automation Using an Agent Framework, Brown University, 1991.
【27】 Frawley, W. J., Paitetsky-Shapiro, G., and Matheus, C. J., “Knowledge Discovery in Databases: An Overview,” in G.
Piatetsky-Shapiro and W. J. Frawley (eds.), Knowledge Discovery in Databases, AAAI/MIT Press, 1991, pp.1-30.
【28】 Gruber, T. R., Ontolingua: a Mechanism to Support Portable Ontologies, Stanford University, Knowledge Systems Laboratory, Technical Report KSL-91- 66, March 1992.
【29】 Grupe, F. H., and Owrang, M. M., “Data
and Cooperative Advantage,” Information Systems Management, Vol. 12, No.4, Fall 1995, pp.26-31.
【30】 Han, J., Cai, Y. and Cercone, N.,
“ Attribute-Oriented Induction in Relational Databases,” in G. Piatetsky-Shapiro and W. J.
Frawley (eds.), Knowledge Discovery in Databases, AAAI/MIT Press, 1991, pp.
213-228.
【31】 Han, J., Cai, Y. and Cercone, N.,
“Knowledge Discovery in Databases: An Attribute-Oriented Approach,” Proceeding of the 18th VLDB Conference, Canada, August 1992, pp. 547-549.
【32】 Han, J., Yang, Q. and Kim, E. “Plan Mining by Divide-and-Conquer,” Proc. 1999 SIGMOD'99 Workshop on Research Issues on Data Mining and Knowledge Discovery (DMKD'99) , Philadelphia, PA, May 1999, pp.
8:1-8:6.
【33】 Hedberg, S. R., “Intelligent Agents: The First Harvest of Softbots Looks Promising,”
IEEE Expert, Vol.10, 1995, pp. 6-49.
【34】 Huber, G. P., “Organizational Learning:
The Contributing Processes and The Literatures,” Organization Science , Vol. 2, No. 1, February 1991, pp. 88-115.
【35】 Huhns, M. N. and Singh, M. P.,
“Ontologies for Agents,” IEEE Internet Computing, Vol. 1, Nov.-Dec. 1997, pp.
81-83.
【36】 Jablonski, S., and Bussler, C., Workflow Management: Modeling Concepts, Architecture and Implementation, International Thompson Computer Press, 1996.
【37】 Jessup, L. H., and Valacich, J. S., Group Support System: New Perspectives, Macmillan Publishing Company, New York, 1993.
【38】 King, W. R., “Integrating Knowledge Management into IS Strategy,” Information Systems Management, Vol. 16, No. 4, 1999.
【39】 Kwan, M. M., and Balasubramanian, P.,
“KnowledgeScope: Managing Knowledge in Context,” Decision Support Systems, Vol. 35, 2003, pp. 467-486.
【40】 Lai, H., and Chu, T. H., “Knowledge Management: A Review of Theoretical Frameworks and Industrial Cases,”
International Conference on Information Systems, 2000.
【41】 Lee, H., and Choi, B., “Knowledge Management Enablers, Process and Organizational Performance: An Integrative View and Empirical Examination,” Journal of Management Information Systems, Vol. 20, No. 1, 2003, pp. 179-228.
【42】 Lesser, V., Horling, B., Klassner, F., and Raja, A., BIG: A Resource-Bounded Information Gathering Agent, UMass Computer Science Technical Report, 1998.
【43】 Madan, S., Son, W. K., and Bollinger, K.
E., “Applications of Data Mining for Power Systems,” Proc. of the Engineering Innovation: Voyage of Discovery IEEE 1997 Canadian Conference, Vol.2, 1997, pp.
403-406.
【44】 Malone, T. W., Crowston, K., and O’Donnell, E., “Tools for Inventing Organizations: toward a Handbook of Organizational Processes,” Management Science, Vol. 45, No. 3, 1999, pp. 425-443.
【45】 Marquardt, M. J., and Kearsley, G., Technology-Based Learning: Maximizing Human Performance and Corporate Success, ASTD, New York, 1998.
【46】 Nissen, M. E., “Knowledge-based Knowledge Management in the Reengineering Domain,” Decision support systems, Vol. 27, 1999, pp. 47-65.
【47】 Nonaka, I., and Takeuchi, H., “The Knowledge-Creating Company,” New York, Oxford University Press, 1995.
【48】 O’Leary, D. E., “Reengineering and Knowledge Management,” in D. Fensel & R.
Studer, Knowledge Acquisition, Modeling and Management, Lecture Notes in Artificial Intelligence, Vol. 1621, 1999, pp. 1–12.
【49】 Rathburn, T., “Data-Mining in the Financial Markets,” PC AI, 1997, pp. 19-20.
【50】 Robey, D. and Sales, C. A., Designing Organizations, 4th ed, Irein, Boston, 1994.
【51】 Shrivastava, P., “A Typology of Organizational Learning Systems,” Journal of Management Studies, Vol. 20, No. 1, 1983, pp.
8-28.
【52】 Sowa, J. F., and Zachman, J. A.,
“Extending and Formalizing the Framework for Information Systems Architecture,” IBM Systems Journal, Vol. 31, No. 3, 1992, pp.
590-616.
【53】 Stein, E. W. and Zwass, V., “Actualizing Organizational Memory with Information Systems,” Information Systems Research, Vol.6, No. 2, January 1995, pp. 85-117.
【54】 Storey, V.C., “Real World Knowledge for Databases,” Journal of Database Administration, Winter 1992, pp. 1-19.
【55】 Swartout, W., and Tate, A., “Ontologies,”
IEEE Intelligent Systems, Vol. 14, Jan.-Feb.
1999, pp. 18-19.
【56】 Teece, D. J., “Capturing Value from Knowledge Assets: The New Economy, Markets for Know-How, and Intangible Assets,” California Management Review, Vol.
40, No. 3, 1998, pp. 55-79.
【57】 Turban, E., and Aronson, J. E.,
“Intelligent Agents and Creativity,” Decision Support Systems and Intelligent Systems, Prentice-Hall, 1998.
【58】 Van-Heijst, G., Schreiber, A. T., and Wielinga, B. J., “Using Explicit Ontologies in KBS Development,” International Journal of
Human and Computer Studies, 1996.
【59】 Walsh, J. P., and Ungson, G. R.,
“Organizational Memory,” Academy of Management Review , Vol. 16, No. 1, January 1991, pp. 57-91.
【60】 Wang, H., “Intelligent Agent-Assisted Decision Support Systems: Integration of Knowledge Discovery, Knowledge Analysis, and Group Decision Support,” Expert Systems with Application, Vol. 12, No. 3, 1997, pp.
323-335.
【61】 Weiser, M., and Morrison, J., “Project Memory: Information Management for Project Teams,” Journal of Management Information Systems, Vol. 14, No. 4, 1998, pp.
149-166.
【62】 Wiig, K. M., “Knowledge Management:
Where Did It Come From and Where Will It Go,” Expert Systems With Applications, Vol.
13, July 1997, pp.1-14.
【63】 Woods, E., and Sheina, M., Knowledge Management: Building the Collaborative Enterprise, http://www.ovum.com/, 1999.
【64】 江銓祥,「Call Center 建置二三事」,資 訊與電腦,3 月號,第 236 期,2000,pp.
51-58。
【65】 朱毓君,以本體論強化網路 FAQ 系統
之解答整合能力,國立台灣科技大學電子 工程研究所碩士論文,2001。
【66】 吳欣穎,企業導入顧客關係管理之研
究,國立台北大學企業管理研究所碩士論 文,1999。
【67】 吳美勳,組織記憶與學習機制關係之研
究,國立政治大學企業管理研究所碩士論
文,1999。
【68】 林青峰,全球資訊網中使用者網頁-動
作路徑的資料挖掘,國立政治大學資訊管 理研究所碩士論文,2004。
【69】 林琬儒,電話服務中心之服務品質分析
-以中華電信障礙服務為例,國立中山大學 資訊管理研究所碩士論文,2000。
【70】 高政汗,具自動建構 Ontology 能力之 個人化資訊分類系統,國立成功大學資訊 工程研究所碩士論文,2000。
【71】 黃國禎、李依峻,「智慧型企業知識管
理系統之研製」,第六屆資訊管理實務研討
會,2000。
【72】 張泊皓,研發流程的知識管理模式之研
究,國立清華大學工業工程與工程管理研 究所碩士論文,2000。
【73】 楊亨利,“Database Abstractions = Data Abstractions + Semantic Integrity Constraints Abstractions,” 政大學報(下冊--- 社會科 學),75 期,1997 年 10 月,第 189 至 212 頁。
【74】 鄭文豪,電子式產業交易平台的形成與
發展,國立中央大學資訊管理研究所碩士 論文,1998。
【75】 謝育勳,員工知識管理資訊系統之設計
與發展-資料採擷技術之應用,國立中央大 學人力資源管理研究所碩士論文,2000。
【76】 盧賢豪,知識管理系統中運用智慧型代
理人之研究,國立中山大學資訊管理研究 所碩士論文,2003。