| dc.contributor.advisor | 蔡瑞煌 | zh_TW |
| dc.contributor.advisor | Tsaih, Ray | en_US |
| dc.contributor.author (Authors) | 張金龍 | zh_TW |
| dc.contributor.author (Authors) | Chang, Chin-Lung | en_US |
| dc.creator (作者) | 張金龍 | zh_TW |
| dc.creator (作者) | Chang, Chin-Lung | en_US |
| dc.date (日期) | 2002 | en_US |
| dc.date.accessioned | 18-Sep-2009 19:33:40 (UTC+8) | - |
| dc.date.available | 18-Sep-2009 19:33:40 (UTC+8) | - |
| dc.date.issued (上傳時間) | 18-Sep-2009 19:33:40 (UTC+8) | - |
| dc.identifier (Other Identifiers) | G0089356027 | en_US |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/36773 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 資訊管理研究所 | zh_TW |
| dc.description (描述) | 89356027 | zh_TW |
| dc.description (描述) | 91 | zh_TW |
| dc.description.abstract (摘要) | 大多數組織都存有各種資訊以及成功解決問題的經驗，但是由於缺乏知識管理之應用，這些資訊或經驗都不是很容易累積，且經常需要重複花費許多時間去找尋或整合一些零散的知識，造成組織資源與成本的浪費。 本研究以政大商學院為例，集中探討研究型知識與研究人員，並參考Advanced Distributed Learning (ADL)所發展之SCORM content aggregation model提出一個最佳實務模型The Shareable Researching Knowledge Object Reference Model (SREKORM)，希望透過對研究型知識的的系統管理，協助研究人員知識分享、創新，更可為組織累積智慧，創造價值。主要建議如后： (1)將知識呈現方式由傳統的文件轉換為知識物件呈現方式。 (2)將知識搜尋方式由傳統的全文檢索轉換為知識物件檢索方式。 最後，經由論文訪談的方式，了解研究人員從理論及實務對本研究的觀點，並驗證本研究付諸實行之可行性。 | zh_TW |
| dc.description.abstract (摘要) | Knowledge is generally available, but not always readily accessible, due to lack of knowledge management in most organizations. So people within organization always spent duplicate time to search or summarize scattered information. This study will focus on researching and researchers based on the College of Commerce, National Chengchi University, and reference the SCORM content aggregation model put forward by Advanced Distributed Learning, and then intends to develop a best practice of researching knowledge--The Shareable Researching Knowledge Object Reference Model (SREKORM), for the purpose of assisting innovation, knowledge sharing and accumulated. The proposal is as follows: (1) To transform the form of knowledge representation from traditional documents to knowledge objects (2) To transform the methods of retrieving knowledge from the traditional full text to knowledge objects. Finally, through case interview, the viewpoints of researchers regarding the theories and actual practices in research at NCCU can be understood and verified the availability of set up of SREKORM in NCCU offered by the current study. | en_US |
| dc.description.tableofcontents | Table of Contents Chapter 1: Introduction 1 1.1 Backgrounds 1 1.2 Motivation 1 1.3 Purpose 2 1.4 Procedure of this study 2 Chapter 2: Literature review 3 2.1 Knowledge 3 2.1.1 Definition of knowledge 3 2.1.2 Category of knowledge 4 2.1.3 Knowledge creation process proposed in Nonaka and Takeuchi (1995) 6 2.1.3.1 The SECI process – the four models of knowledge conversion 7 2.1.3.2 Ba - The share context for knowledge creation 9 2.1.3.3 Knowledge assets 9 2.2 Knowledge Management 10 2.2.1 Definition of knowledge management 10 2.2.2 Knowledge management model 10 2.3 The SCORM content aggregation model 12 2.3.1 Content model 13 2.3.2 Meta-data 16 2.3.3 The SCORM Meta-data information model 17 2.3.4 The SCORM Meta-data XML binding 18 2.3.5 Content packaging 18 Chapter 3: Sharable Researching Knowledge Object Reference Model 19 3.1 Researching knowledge management cycle 19 3.2 SREKORM Knowledge aggregation model 21 3.3 SREKORM Meta-data information model 22 3.4 SREKORM Knowledge package 30 Chapter 4 Case interviews 33 4.1 Introduction 33 4.2 Interview for advice 33 Chapter 5: Conclusion, criticisms and future work 49 5.1 Introduction 49 5.2 Conclusion 49 5.3 Summary of the interviewee criticisms and suggestions regarding the SREKORM system 50 5.4 Limitations of the study and recommendation for future research 51 5.4.1 The limitations of the study were as follows: 52 5.4.2 Recommendations for future work: 52 References 54 Appendix A 56 Appendix B 57 Appendix C 59 Appendix D 66 List of Figures Figure 2.1 Three Elements of Knowledge Creation (Nonaka,Toyama and Konno, 2001) 7 Figure 2.2: SECI model (Nonaka & Takeuchi, 1995) 8 Figure 2.3: Knowledge management model (Arthur Andersen Business Consulting, 2000) 11 Figure 2.4: knowledge innovate system (Wu, 2001) 12 Figure 2.5: Examples of Assets (SCORM, 2001). 14 Figure 2.6: An example of a SCO composed of several assets (SCORM, 2001). 15 Figure 2.7: Content aggregation (SCORM, 2001) 16 Figure 3.1 Researching knowledge management cycle (author) 19 Figure 3.2: Internal structure of PIF files. 32 List of Tables Table 3.1 The SREKORM Meta-data information model. 23 Table 3.2: The SREKORM Meta-data application profile. 28 Table 4.1 The interviewee`s reference codes, positions, and specialties 34 Table A.1: Comparison of SCORM and SREKORM 56 Table B.1: Manifest elements 57 | zh_TW |
| dc.language.iso | en_US | - |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0089356027 | en_US |
| dc.subject (關鍵詞) | 知識管理 | zh_TW |
| dc.subject (關鍵詞) | 知識分享 | zh_TW |
| dc.subject (關鍵詞) | 知識創新 | zh_TW |
| dc.subject (關鍵詞) | 研究型知識 | zh_TW |
| dc.subject (關鍵詞) | 知識物件 | zh_TW |
| dc.subject (關鍵詞) | Knowledge Management | en_US |
| dc.subject (關鍵詞) | Knowledge Sharing | en_US |
| dc.subject (關鍵詞) | Knowledge Innovation | en_US |
| dc.subject (關鍵詞) | Researching Knowledge | en_US |
| dc.subject (關鍵詞) | Knowledge Objects | en_US |
| dc.subject (關鍵詞) | SCORM | en_US |
| dc.title (題名) | 研究型知識的管理議題-以政大商學院為例 | zh_TW |
| dc.title (題名) | Researching Knowledge Management in College of Commerce, National Chengchi University | en_US |
| dc.type (資料類型) | thesis | en |
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