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研究生: 莫爾東
Melton Morrison
論文名稱: 檢測高等教育機構對實施知識管理系統的準備度:以貝里斯大學為例
Assessing the Readiness of Higher Education Institutions to Develop a Knowledge Management System: A Study in the University of Belize
指導教授: 黃乃熒
Whang, Nai-Ying
學位類別: 博士
Doctor
系所名稱: 教育政策與行政研究所
Graduate Institute of Educational Policy and Administration
論文出版年: 2016
畢業學年度: 104
語文別: 英文
論文頁數: 258
中文關鍵詞: 信息和通信技術人力資源策略及領導組織結構組織文化知識管理知識管理系統
英文關鍵詞: Information and communication technology, human resource, strategy and leadership, organizational structure, organization culture, knowledge management, knowledge management system
DOI URL: https://doi.org/10.6345/NTNU202203945
論文種類: 學術論文
相關次數: 點閱:216下載:20
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知識的保存是一個組織最重要的功能之一。另外,組織不僅是保護知識,更是創造,保留,傳播知識,也被稱作知識管理。高等教育機構從事知識管理應該如同他們應該是知識的創導。這研究是用來評估Belize大學對於發展知識管理系統的準備。
在這研究中的兩個原型Web Model還有Star Model是被設計來確定知識管理系統的發展是否準備就緒。兩個原型都用了5個關鍵因素去評估:信息和通信技術,人力資源,策略及領導,組織結構,組織文化,其中組織文化是Star Model原型的核心。
一個方便又隨機的採樣程序是用來搜集約3246名學生及200名Belize大學不同部門的教職人員的反應。從這個總體所需要的統計樣本數大約是346名受訪者。然而,研究員鎖定了400個樣本,然後取得了384個回應;其中379個為有效樣本,因此從這400個樣本的回覆率為94.75%。
這個結果說明了人力資源還有組織文化的大小是KMS發展的最好條件;而策略、領導,組織結構及ICT則是最差的條件。此外,人力資源是唯一準備好接受知識管理系統的唯一條件。除此之外在教職人員及學生間對於各個因素是否準備就緒的觀點有著顯著的差異。這研究也確定了兩個原型都很適合去評估知識管理系統的發展是否已準備好了也確定那五個因素是重要的批判性因素。最後,這研究也提出關於讓這研究審查的五項批判性因素及未來研究進步的建議。

Preservation of knowledge is probably one of the most important functions of an organization. Additionally, not only should organizations be preserving knowledge, but they should also find a way to generate, store, and disseminate this knowledge—this process is known as Knowledge Management (KM). Higher Education Institutions (HEI’s) should be engaging in KM practices as they should be the lead creators of knowledge. Thus, this research sought to assess the readiness of the University of Belize to develop a knowledge management system (KMS).
In this research two new models, the Web Model and the Star Model, were designed to assess the readiness to develop a knowledge management system. Both models used 5 critical factors to assess readiness: information and communication technology, human resource, strategy and leadership, organizational structure and organizational culture, with organizational culture being a mediator in the Star Model.
A convenient yet random sampling procedure was used to gather responses from approximately 3246 students and approximately 200 teaching and administrative staff combined who ranged from different departments in the University of Belize. The statistical sample required from this population was about 346 respondents. Instead, the researcher targeted 400 samples and was able to collect 384 responses; of these responses 379 were useful, thus giving a response rate of 94.75%, from the 400 targeted.
The results indicated that the human resource and the organizational culture dimensions are in the best conditions for the development of a KMS; whereas the strategy and leadership, the organizational structure and the ICT are in the worst conditions. Also, the human resource is the only factor that is ready to accept the development of a knowledge management system. Moreover, there is a significant difference between the views of the teachers, administrators and the students towards the readiness of each factor. The research also determined that both models were decent enough to assess readiness to develop a knowledge management system and that the five factors were indeed significant critical factors. Finally, this research offered suggestions for improvement of the five critical factors under scrutiny in this research and also suggestions for future research.

ACKNOWLEDGEMENTS………………………………………………. i 摘要……………………………………………………... ii ABSTRACT……………………………….…..…...…… iii LIST OF TABLES……………………….....…..….… vii LIST OF FIGURES…………………………....….. ix CHAPTER1—INTRODUCTION……………………….……....... 1 Chapter Overview…………………………………..………………………....... 1 Background ……………………………………………..………………......….. 1 Problem Statement……………………………………..……………………...... 7 Purpose and Questions of the Study ……………………...……………...…...... 9 Significance of the Study…………………………………………...…..…........ 10 Delimitations and Limitations………………………………………………...... 11 Definition of Concepts………………………………………….…..…....…....... 12 CHAPTER 2—LITERATURE REVIEW…………………………………............ 17 Chapter Overview……………………………………………………................. 17 Literature on Knowledge Management and Knowledge Management Systems.. 17 Literature on Knowledge Management in Higher Education Institutions............ 42 Literature on Designing and Developing Knowledge Management Systems….. 58 Literature on Related Research…………………………………………………. 77 Literature on the Benefits Knowledge Management …………………………... 100 Summary ………………………………………………….................................. 108 CHAPTER 3—METHODOLOGY……………..………….………………....…... 109 Chapter Overview……………...………………………………………..…….... 109 The Researchers Structural Model…………………………………………..…. 109 Research Hypothesis ………………………...…………………………….....… 113 Research Procedure………………………………………...….…………..…… 115 Data Analysis Methods. ………………………………..………………….….... 120 Pilot Test, Data Collection and Sample…………………..………………….…. 125 Summary………………………………………………………..…………….… 133 CHAPTER 4— EMPIRICAL RESULTS AND DISCUSSION………………….. 135 Chapter Overview……………...………..………………………………..…...... 135 Descriptive Statistics………………………..…………………………….….…. 135 Friedman Rank Test………………………..………………………………….... 145 Binomial Test………………………………..……………………………….…. 151 Analysis of Variance ANOVA)……………………………………………...…. 158 Structural Equation Modeling……………………………………………...…… 162 Summary…………………………………………………………………...…… 198 CHAPTER 6—CONCLUSIONS AND RECOMMENDATIONS……….……… 201 Chapter Overview……………...………………………………………….…..... 201 Conclusions of the Study…………..………………………..…….………...….. 201 Summary of Conclusions and Hypothesis……………………………….…...... 211 Recommendations ………………………………………………..…………….. 212 Summary……………………………………………………………………….. 218 REFERENCES. ………………………………………………….…...................... 221 APPENDICES 241 A. Cover Letter………………………………………………………………. 241 B. Final Knowledge Management Readiness Questionnaire……..…………… 243 C. Original Knowledge Management Readiness Questionnaire……...…..…… 247 D. Binomial Test Showing Responses to all questions before Question Deletions………………………………………………………………..…… 251 E. The Web Model and the Star Model………………………………………… 257 Table 1.1 Departments in each Faculty at UB………………………………..…... 6 Table 2.1. Various Definitions of Knowledge Management……….………...…... 21 Table 2.2.The Four Modes of Knowledge Conversion…………………………… 31 Table 2.3. Various Definitions of KMS……………………………………..…… 35 Table 2.4. Key steps to Remember in Applying KMS……………………………… 46 Table 2.5. Monthly Pricing in US Dollars for Select Internet Plans………………… 56 Table 2.6. Availability of Core ICT Indicators……………………………………… 57 Table 2.7. Key Factors of KM Implementation…………………………………..… 59 Table 2.8. Critical Success Factors in Developing a KMS …………….………...…. 63 Table 2.9. KM Enabling ICT Tools/Networks. ……………………...……….……. 72 Table 2.10. Criteria for the Five Critical Factors ………….….……..………….… 73 Table 2.11. Comparison of Related Research……….………………….………..….. 89 Table 3.1. Relationship Between the Critical Factors………………………………....…. 110 Table 3.2. Hypotheses for this Research…………………...………………..………. 114 Table 3.3. Questionnaires Sections and Titles……………………………………… 116 Table 3.4. AVE and CR for Original Instrument…………………………………….. 126 Table 3.5. HTMT for the Different Constructs……………………………..…….. 128 Table 3.6. Factor Loadings for the Original Instrument……………………………… 129 Table 3.7. Re-test of Model after Low Loadings Deleted………………..……….. 132 Table 4.1. Readiness Mean and Standard Deviation…………………………..….. 136 Table 4.2. ICT Mean and Standard Deviation………………………………..…… 137 Table 4.3. Human Resource Mean and Standard Deviation………………….....… 138 Table 4.4. Strategy and Leadership Mean and Standard Deviation…………….… 139 Table 4.5. Organizational Structure Mean and Standard Deviation…………….… 140 Table 4.6. Organizational Culture Mean and Standard Deviation………………... 141 Table 4.7. Demography Frequency and Percent …………………………….…… 142 Table 4.8. Top 5 Responses…………………………………………………………… 143 Table 4.9. Bottom 5 Responses…………………………………………………… 143 Table 4.10. Test for Normality of Data…………………………………………… 145 Table 4.11. Friedman Rank Test…………………………..……………………… 146 Table 4.12. Wilcoxon Signed Ranked Test on the Five Critical Factors……….… 148 Table 4.13. Comparison of Respondents Ranking……………………..………… 149 Table 4.14. Binomial Test for each Critical Factor ……………………….……… 155 Table 4.15. Test of Homogeneity of Variances …………………..……………… 158 Table 4.16. Comparisons using the ANOVA test and Robust test……..………… 159 Table 4.17. Turkey’s Post-Hoc Test ……………………………………………… 161 Table 4.18. Pearson’s Correlation ………………………………..…………….… 163 Table 4.19. Collinearity Statistics of Tolerance and VIF………..…………...…… 164 Table 4.20. Collinearity Diagnostics based on Variance Proportions…………… 165 Table 4.21. HTMT for the Different Constructs Immediately after Data Collection…………………………………………………………….. 167 Table 4.22. Factor loadings for the Different Constructs Immediately after Data Collection…………………………………………………………….. 168 Table 4.23. HTMT for the Different Constructs after Deleted Indicators………... 169 Table 4.24 Factor Loading Web Model (Hypothesized Model)…………...……… 171 Table 4.25. Fit Analysis for Web Model………….......……..……………….…… 180 Table 4.26. The Web Model Post-Hoc Statistical Power Test ……..……….…… 181 Table 4.27. Factor Loading Star Model…………………………………………… 186 Table 4.28. Fit Analysis for the Star Model …………………………...…….…… 192 Table 4.29. Test for Mediating Effect ……………………………………….…… 195 Table 4.30. The Star Model Post-Hoc Statistical Power Test………………….….. 197 Table 4.31. Analyses and their Respective Hypotheses………….……………….. 199 Table 5.1. Summary of Main Hypotheses………………………………………… 212 Figure 2.1. Infrastructure, infostructure, infoculture …………………………….. 42 Figure 2.2. Belize excluded from the World Bank web page drop menu………… 51 Figure 2.3. Education……………………………………………………………… 52 Figure 2.4. Innovation…………………………………………………………….. 53 Figure 2.5. Information and communication technologies………………………... 53 Figure 2.6. Economic and institutional regimes…………………………………... 54 Figure 2.7. Knowledge economy index of selected Caribbean countries………… 54 Figure 2.8. Internet users (per 100 population) as of year 2007………………….. 55 Figure 2.9. KM implementation requirement model (Ahmadi et al.) ……...….… 79 Figure 2.10. Readiness for KM implementation model (Atoufi et al.) ………...... 80 Figure 2.11. Successful implementation of KM model (Yaghoubi and Maleki) …. 81 Figure 2.12. Success of KM model (Ansari et al.) ………………………….……. 83 Figure 2.13. Framework for enhancing KM using ICT in HEI (Omona et al.) …... 84 Figure 2.14. Factors affecting attitudes towards KM model (Shirazi et al.) …...... 86 Figure 2.15. Factors that contribute to knowledge sharing (Sohail & Daud) …….. 87 Figure 3.1. Researchers proposed structural model……………..………………… 109 Figure 3.2. Research procedure………………………………...…………………. 117 Figure 3.3. Factor loadings for all indicators……..………………………….……. 130 Figure 4.1. Web Model factor loadings immediately after data collection……….. 166 Figure 4.2. The Web Model interaction effect size and factor loadings ………….. 170 Figure 4.3. The Web Model results of blindfolding and predictive validity …..…. 179 Figure 4.4. The Star Model (revised model) interaction effect size and factor loadings………………………………………………………….…….. 185 Figure 4.5. The Star Model blindfolding results and predictive validity…...….…. 191 Figure 4.6. The Direct interactions between the four critical factors and readiness……………………………………………………….……… 194

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中文參考文獻
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