簡易檢索 / 詳目顯示

研究生: 曾文盛
Tseng, Wen-Sheng
論文名稱: 導入知識管理系統以準備新制醫院評鑑之實證探討
An Empirical Study of Knowledge Management System Implantation to Assist Reformed Hospital Accreditation Preparation
指導教授: 呂執中
Lyu, Jr-Jung
學位類別: 碩士
Master
系所名稱: 管理學院 - 高階管理碩士在職專班(EMBA)
Executive Master of Business Administration (EMBA)
論文出版年: 2011
畢業學年度: 99
語文別: 中文
論文頁數: 88
中文關鍵詞: 知識管理新制醫院評鑑專案團隊科技接受模式
外文關鍵詞: Knowledge Management, Reformed Medical Accreditation, Project Team, Technology Acceptance Model
相關次數: 點閱:122下載:4
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 摘 要
    我國醫療機構面臨全民健康保險各項制度的規範與醫院評鑑制度的檢核,促使醫療院所管理者必須有系統化的進行績效與成本的控管。面對新制醫院評鑑更嚴格的要求,如何利用資訊化系統以整合評鑑資料,掌握評鑑各項目資料正確性以及落實實地評鑑流程與規則,成為許多醫療院所考量採用的方法。
    本研究應用科技接受模式為研究基礎架構,並放入影響系統導入相關因素為其外部變數,形成一整合模式。透過本個案之實證研究,以實際使用過系統的員工作為本研究對象,探討專案團隊與系統特性此兩構念與成功導入知識管理系統之關係,以作為往後組織導入其它資訊管理系統之參考。
    透過本研究可知,「系統特性」是系統導入成功與否的重要關鍵,新系統必須先讓使用者感受其「易用性」後,方能認知其「有用性」,進而提高其「使用態度」。因此,專案經理在選擇系統及規劃教育訓練課程時,必須先了解團隊成員使用既有系統之習慣與程度,再與資訊部門及外部顧問針對組織內軟硬體設備的資源及新系統之操作方法進行了解,並邀請團隊成員一起討論,設計規劃出一個盡量貼近專案團隊內部成員目前操作環境的界面;且經由快速及暢通的雙向回饋機制,不斷修改系統操作方式,以符合使用者需求,方能使專案團隊內部成員感受此系統之「易用性」而願意使用,並透過系統「認知有用性」以增加對系統整體使用滿意度。

    關鍵詞:知識管理;新制醫院評鑑;專案團隊;科技接受模式

    Abstract
    According to the regulations of National Health Insurance and Hospital Accreditation in Taiwan, the managers of hospitals have to improve the performance and control the cost of the institutions systemically. Facing the stricter requirements from the Reformed Hospital Accreditation, how to integrate the various information via informatic systems to ensure the accuracy of every item of accreditation and its process and rules becomes the major consideration of many medical institutions in Taiwan. This study is based on Technology Acceptance Model (TAM) using two external variables: project team (PT) and knowledge management system (KMS) to evaluate the attitude and satisfaction of the system users in the hospital.
    Materials and Methods: The personnel who are allowed to use KMS in one southern medical center were enrolled into this study. Questionnaire survey was performed and totally 258 questionnaires were retrieved with 230 effectively responded (89.15%). The collected data were analyzed by SPSS 12.0 software. The statistic methods included descriptive statistics, factor analysis, reliability and validity tests, and analysis of variance. Structural equation modeling (SEM) was also applied for path analysis.
    Results: 1.Introducing KMS into hospital, the internal members of PT and characteristics of KMS significantly influenced the perceived ease of use of the system. However, the internal and external members of PT and characteristics of KMS didn’t significantly affect the perceived usefulness of the system. 2.The perceived usefulness and ease of use of the KMS in hospital significantly influenced the attitude toward use of the system. Perceived ease of use significantly affected perceived usefulness of the system. Perceived usefulness also significantly affected overall satisfaction of the system. 3.The majority of the personnel in the studied hospital supported the implantation of KMS and had acceptable satisfaction of using it.
    Conclusions and suggestions: The characteristic of the system is the key factor for successful introduction of KMS. According to the results of this study, a new system must let the user to perceive the ease of use, then identify its usefulness, and thus improve the attitude toward use. When selecting system and planning educational program, the project manager should understand the habit and level using the existing system of the team members, and then asks the colleagues of informatics department and external consultant to evaluate the resources of hardware and software in organization and the operating process of the new system. Through the discussion with the team members, an interface that closes to the existing system will be evolved. Continuous improvement of the operational process via rapid, fluent and bi-directional feedbacks can develop a user friendly system to let the internal members of PT willing to use it due to perceived ease of use; then feel its usefulness and increase the satisfaction of the usage of KMS.

    Keywords: Knowledge Management; Reformed Medical Accreditation; Project Team; Technology Acceptance Model

    目 錄 摘 要 II Abstract III 誌 謝 V 目 錄 VI 表 目 錄 VIII 附 錄 IX 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 第二章 文獻探討 5 第一節 知識管理 5 第二節 醫院評鑑制度 16 第三節 專案團隊 21 第四節 科技接受模式 25 第三章 研究方法 30 第一節 研究架構 30 第二節 各構面操作型定義與衡量 30 第三節 研究假設 37 第四節 問卷設計與研究對象 40 第四章 資料分析結果 45 第一節 敘述性統計分析 45 第二節 因素分析 47 第三節 信度與效度分析 48 第四節 t檢定與單因子變異數分析 50 第五節 結構方程模式分析 52 第五章 結論與建議 61 第一節 研究結論 61 第二節 研究建議 64 第三節 研究限制與未來研究方向 65 參考文獻 67 附 錄 75 問 卷 86 表 目 錄 表2-1 知識管理定義 6 表2-2 內隱與外顯知識比較表 8 表2-3 知識管理策略分類 9 表2-4 教學醫院評鑑時期評鑑等級 17 表2-5 醫院評鑑時期評鑑等級 18 表2-6 教學醫院評鑑基準革新歷程-1 19 表2-7 教學醫院評鑑基準革新歷程-2 20 表2-8 專案組織結構與特性 22 表2-9 專案團隊文獻之整理 25 表2-10 科技接受模式文獻之整理 28 表3-1 專案團隊之衡量題項與參考文獻 32 表3-2 KMS特性之衡量題項與參考文獻 33 表3-3 認知易用性之衡量題項與參考文獻 34 表3-4 認知有用性之衡量題項與參考文獻 34 表3-5 使用態度之衡量題項與參考文獻 35 表3-6 使用者滿意度之衡量題項與參考文獻 36 表3-7 人口統計變數題項 37 表3-8 前測信度統計量 40 表4-1 樣本基本資料分析 45 表4-2 KMO與Bartlett’s 檢定 47 表4-3 模式配適度理想建議值 52 表4-4 結構方程模式路徑分析 53 表4-5 結構方程模式係數估計值 54 表4-6 路徑關係與檢定結果 55 表4-7 研究假設與實證結果總表 60 附 錄 附錄1 轉軸後之成分矩陣 75 附錄2 解說總變異量 76 附錄3 專案團隊之因素分析 77 附錄4 KMS特性之因素分析 78 附錄5 刪除題項後,KMS特性之因素分析 78 附錄6 信度分析 79 附錄7 效標關聯效度檢定 80 附錄8 各構面在性別間之差異性檢定 81 附錄9 各構面在是否擔任主管職間之差異性檢定 81 附錄10 各構面在年齡間之差異性檢定 82 附錄11 各構面在教育程度間之差異性檢定 82 附錄12 各構面在服務年資間之差異性檢定 83 附錄13 各構面在工作單位間之差異性檢定 83 附錄14 服務年資對「認知有用性」Tukey HSD事後檢定表 84 附錄15 服務年資對「使用態度」Tukey HSD事後檢定表 85

    一、中文部分
    1. 王美芳(1993),「醫院評鑑與醫療品質保證」,衛生報導,3(6),頁7-13。
    2. 王喻賢(2009),「應用專案管理知識體系架構於知識管理系統導入過程之研究」,長榮大學企業管理碩士論文。
    3. 林四海(1988),「醫院對醫院評鑑工作應有的認識」,醫院經營管理實務,台北:吉仁。
    4. 吳萬益(2000),企業方法研究,華泰文化事業股份有限公司。
    5. 吳宗杉、顏勝豪(2006),「科技接受模式應用於探索數位學習網站之使用傾向」,2006電子商務與數位生活研討會。
    6. 汪美香、葉桂珍(2004)。「資訊系統專案團隊成員互動之探索」。台大管理論叢,六月,第十四卷第二期,頁79-108。
    7. 李美慧、陳鴻基、陳姚真 (2001),「科技接受模式在非同步網路學習系統使用意向之應用」,Talnet 2001研討會論文集(上冊),頁69-76。
    8. 何宜錚等人(2010),「國中生幽默風格與自尊及情緒致力之相關研究」,中華心理衛生學刊,第二十三卷第二期,頁271-304。
    9. 邱皓政(2002)。量化研究與統計分析。台北:五南圖書出版股份有限公司。
    10. 邱皓政(2003)。社會與行為科學的量化研究與統計設計,台北:五南圖書出版股份有限公司。
    11. 洪新原、梁定澎、張嘉銘(2005),「科技接受模式之彙總研究」,資訊管理學報,第十二期第四卷,頁211-233。
    12. 許甄妮(2006),「探討高階主管支持ERP專案團隊會對使用者滿意度之影響-以團隊合作、系統、資訊和服務品質為中介變數」,國立中央大學企業管理研究所碩士論文。
    13. 黃瓊文、梁素琴、吳傳春(2009),「知識管理系統於新制醫院評鑑之應用-以南部某醫學中心為例」,2009年資訊科技國際研討會論文集,頁62-71。
    14. 梁定澎 (2006),決策支援系統與企業智慧,再版。台北:智勝文化出版公司。
    15. 游育蓁、何玉美 (1999),「如何成功導入ERP」,管理雜誌,第296期,頁66-71。
    16. 張棱衡、吳亞馨、方文昌 (2004),「知識管理導向教學系統之研究」,圖書館學與資訊科學,第30卷第一期,頁66-74。
    17. 劉京偉譯(2000),知識管理的第一本書-運用知識管理提升企業核心能力。(原作者:Arthur Andersen Business Consulting),台北市,商周出版。
    18. 陳順宇(2004),多變量分析-第三版。台北:華泰文化事業股份有限公司。
    19. 陳建文、楊惠合(2005),「以科技接受模式探討數位學習滿意度之研究,產業論壇」,第八卷第一期,頁93-108。
    20. 陳珮嘉(2007),新制醫院評鑑之推動與作業流程說明簡報,行政院衛生署醫事處。
    21. 陳永隆、王奇威、黃小欣(2008),知識管理-價值創新與開放分享,華立圖書股份有限公司。
    22. 陳勁甫、趙韋翔(2009),「結合計畫行為理論、科技接受模式與慣性行為探討運具轉移行為:以涉入程度為干擾變數」,中華民國運輸學會學術論文研討會,頁2487-2509。
    23. 范淼、熊培霖、黃哲明(2006),專案管理基礎知識與應用實務-第二版,財團法人中華專案管理學會。
    24. 楊漢泉、王美芳(1992),我國醫院評鑑工作之回顧與展望,醫院,第25卷第一期,頁19-43。
    25. Demarco, T., & Lister, T. (2007),腦力密集產業的人才管理之道(Productive Project and Teams, 2nd edition)(錢一一譯),台北市:經濟新潮社。(原作1987年出版)。
    26. Nonaka & Takeuchi (1997),創新求勝-智價企業論(The Knowledge creating company)(楊子江、王美音譯),遠流出版。
    27. Simons, R. (2009),組織設計:如何運用槓桿原理讓權責式領導發揮最大效益 (Levers of Organization Design:How Managers Use Accountability Systems For Greater Performance And Commitment) (王承志譯),台北市:臉譜出版社。(原作2005年出版)
    28. Sliger, M., & Broderick, S. (2009),軟體專案管理:軟體專案管理者邁向敏捷式的橋樑(The software project manager’s bridge to agility)(何霖譯),台北市:碁峰資訊。(原作2008出版)。

    二、英文部分
    1. Ajzen,I and Fishbein, M.(1975). Understanding Attitudes and Predicting Social Behavior. Prentice-Hall, EnglewoodCliffs NY Prentice Hall, pp.278.
    2. Ajzen(1989). Attitude Structure and Behavior in A.R. Pratkanis, S.J. Breckler, and A.G. Greenwald (Eds.). Attitude Structure and Function, Lawrence Erlbaum Associates, Hillsdale, NJ, pp.241-274.
    3. Anke J.E. and Anneke L.F.(2009).“Attitudes of nursing staff towards electronic patient records: A questionnaire survey”, International Journal of Nursing Studies, 47, pp. 846–854.
    4. Bailey, J.E. and Pearson, S.W.(1983).“Development of a Tool for Measuring and Analyzing Computer User Satisfaction”, Management Science 29(5), pp.530-545.
    5. Bruner, G. C., & Kumar, A.(2005). “Explaining consumer acceptance of handheld Internet devise”, Journal of Business Research, 58(5), pp.553-558.
    6. Casarotti, M., Michielin, M., Zorzi, M., & Umiltà, C. (2007). “Temporal order judgement reveals how number magnitude affects visuospatial attention”, Cognition, 102, pp.101-117.
    7. Chen I.J., Yang K. F., Tang F. I., Huang C. H., Yu S. (2006).“Applying the technology model to explore public health nurses’ intentions towards web-based learing: A cross-sectional questionnaire survery”, Nursing Studies, pp.869-878.
    8. Davenport, Thomas H. (1999). Knowledge Management and the Broader Firm: Strategy, Advantage, and Performance, in Knowledge Management Handbook, Ed. Jay Liebowitz, FL: CRC Press, pp.2-11.
    9. Davis, F.D. (1986). A technology acceptance model for empirically testing new end-user information system: theory and results. Massachusetts Institute of Technology, pp.291.
    10. Davis, F.D. (1989). “Perceived usefulness, perceived ease of use, and user acceptance of information technology”, MIS Quality, 13(3), pp.319-340.
    11. Ford, R.C., and McLaughlin, F.C. (1992). “Successful Project Teams: a Study of MIS Manger”, IEEE Transactions on Engineering Management, 39(4): pp.312-317.
    12. Gate, B. (1999). Bussiness@ The Speed of Thought:Using A Digital Nervous System. New York:Warner Books, Inc.
    13. Guzzo,R.A., and Salas E. (1995). Team Effectiveness and Decision Making in Organization. San Francisco, CA: Jossey-Bass Publishers.
    14. Hair, J. F., Black W. C., Babin, B. J., Anderson R. E., and Tatham R. L. (2006). Multivariate Data Analysis, Sixth ed., Prentice-Hall Inc.
    15. Hanisch, B., Lindner, F., Mueller, A. & Wald, A. (2009). “Knowledge management in project environments”, Journal of Knowledge Management, 13(4), pp.148-160.
    16. Hasen, M.T., Nohria, N. and Tierney, T. (1999).“ What’s Your Strategy for Managing Knowledge?”, Harvard Business Review, March-April, pp.106-116.
    17. Henderson, J.C., and Lee, S.(1992)“ Managing I/S design teams: A control theories perspective”, Management Science, 38(6), pp.757-777.
    18. Huang, S.Y., Li, C.R. and Lin C.J. (2007).“A Literature Review of Online Trust in Business to Consumer E-Commerce Transation, 2001-2006”, Issues In Information Systems, VII(2).
    19. Igbaria, M., & Tan, M. (1997).“The consequences of information technology acceptance on subsequent individual performance”, Information & Management, 32, pp.113-121.
    20. Jiang, J. J., Klein, G. & Carr, C. L. (2002).“Measuring information system service quality:SERVQUAL from the other side”, MIS Quality, 26(2), pp.145-166.
    21. LaTour, S.A., and Peat N.C. (1979), “Conceptual and Methodological Issues in Satisfaction Research,” Advances in Consumer Research, (6), pp.431-437.
    22. Lierni, P. C., & Ribiere, V. M.(2008).“The relationaship between improving the management of projects and the use of KM”, The Journal of Information and Knowledge Management Systems, 38(1), pp.133-146.
    23. Lu, J., Lin C., Yu C.S., Wang, K.(2008).“Determinants of Accepting Wireless Mobile Data Services in China”, Information & Management, 45, pp.52-64.
    24. Lucas, H.C.Jr.(1975).“Performance and the use of an Information System”, Management Science, 21(8), pp.908-919.
    25. Maglitt, J.(1996).“Know-How, Inc. ”, Computerworld , Jan., pp.74-76.
    26. Mankin, D. Cohen, S., and Bikson, T.(1996). Teams and Technology: Fulfilling the Promise of the New Organization. Harvard Business School Press, Boston.
    27. McKelvie, S.J.(1978).“Graphic rating scales:How many categories:British”, Journal of Psychology, 69, pp.185-202.
    28. Mears, P., and Voehl, F.(1994).Team Building: A structured learning approach. Delray Beach: St. Lucie Press.
    29. Nelson, K.M. & Cooprider, J.G. (1996).“The Contribution Shared Knowledge to IS Group Performance,”MIS Quality, December, pp.409-432.
    30. Nonaka, I. & Hirotaka, T. (1995). The Knowledge creating company. New York: Oxford University Press.
    31. Northen, H. Psychometric theory, 3rd ed., New York:Columbia University Press. 1969.
    32. Nunnally, J. C. (1978). Psychometric Theory (2nd ed.). NY: McGraw-Hill.
    33. Oliver, R. L. (1981), “Measurement and Evaluation of Satisfaction Processes in Retailing Setting”, Journal of Retailing, 57, pp.25-48.
    34. One. C.S., Lai, J.Y. and Wang, Y.S., (2004)“Factors Affecting Engineers’Acceptance of Asynchronous E-Learning Systems in High-Tech Companies”, Information and Management, 6(4) pp.795-804.
    35. Phan D.D., Vogel, D.R., and Jr, J.F.N.(1995).“Empirical Srudies in Software Development Projects: Field Survey and OS/400 Study”, Information & Management, 28, pp.271-280.
    36. Pitt,L. F., Watson, R. T., and Kavan. C. B., (1995).“Service Quality:A Measure of Information System Effectiveness”, MIS Quality, June, pp.173-187.
    37. Pitt,L. F., Watson, R. T., and Kavan. C. B., (1997).“Measuring Information Systems Service Quality: Concerns for a Complete Canvas”, MIS Quality, June, pp.209-221.
    38. Raaij, E.M. Van and Schepers, J.J.L.(2008).“The Acceptance and Use of a Virtual Learning Environment in China”, Computer & Education, 50, pp.838-852.
    39. Sack C., Scherag A., Lütkes P., Günther W., Jöckel K.H., Holtmann G. (2011). “Is There an Association Between Hospital Accreditation and Patient Satisfaction with Hospital Care?”, International Journal for Quality in Health Care, pp. 278-283.
    40. Sackmann, S. A (1991). Cultural complexity as a challenge in the management of global companies. in Mohn, L. (Ed.), A Cultural Forum, III. Corporate Cultures in Global Interaction, Bertelsmann Foundation, Gu tersloh, pp.58-81.
    41. Sackmann, S.A. & Friesl, M. (2007).“Exploring cultural impacts on knowledge sharing behavior in project teams-results from a simulation study”, Journal of Knowledge Management, 11(6), pp.142-156.
    42. Swanson, D.L.(1988). Feeling the elephant: Some observations on agenda-setting research. In Communication Yearbook, 11:pp.603-619.
    43. Vassilios P. Aggelidis & Prodromos D. Chatzoglou (2009). “Using a modified technology acceptance model in hospitals”, International Journal Of Medical Informatics, pp.115-126.
    44. Walker, D. H. T. & Christenson, D. (2005).“Knowledge wisdom and networks: a project management centure of excellence example”, The Learning Organization, 12(3), pp.275-291.
    45. Wang C. H. (2008).“The reform of the hospital accreditation system in Taiwan”, World Hosp Health Sery, 44(1) pp.14-18.
    46. Wiig, K.M. 1995. Knowledge management methods: Practical approaches to managing knowledge. Arlington, TX.
    47. Zack,M.H.(1999).“Developing a knowledge strategy”, California Management Review, 41(3), pp.125-145.
    48. Zack, M. H. (1999) “Managing codified knowledge”, Sloan Management Review, 40(4), pp.45-58.
    49. Zmud, R. W. (1979).“Individual Differences and Mis Succes:A Review of Empirical Literature”, Management Science, 25(10), pp. 966-973.

    三、網頁資料
    1. 吳聖良(2006),樣本數之決定及抽樣方法。取自
    http://stti.org.tw/images/960630/drwu960630/13.pdf
    2. 財團法人醫院評鑑暨醫療品質策進會。取自:
    http://60.248.196.52/FrontStage/index.aspx?AspxAutoDetectCookieSupport=1
    3. 劉常勇(1999),組織知識形成的過程。取自:http://www.cme.org.tw/know/paper/paper7.html.
    4. Sveiby,K. (2000). What is knowledge management ? [Online]. Available: http://www.sveiby.com.au/KnowledgeManagement.html

    下載圖示 校內:立即公開
    校外:立即公開
    QR CODE