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研究生: 林浩源
Hao - Yuan Lin
論文名稱: 智慧資本和知識管理對台灣會議展覽產業的影響
The Impact of Intellectual Capital with Knowledge Management on Taiwan MICE Industry
指導教授: 施正屏
Shih, Cheng-Ping
學位類別: 碩士
Master
系所名稱: 國際人力資源發展研究所
Graduate Institute of International Human Resource Developmemt
論文出版年: 2011
畢業學年度: 99
語文別: 英文
論文頁數: 117
中文關鍵詞: 智慧資本知識管理知識管理系統台灣會議展覽產業商業績效
英文關鍵詞: Intellectual Capital, Knowledge Management, Knowledge Management System, Taiwan MICE Industry, Business Performances
論文種類: 學術論文
相關次數: 點閱:222下載:10
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  • Intellectual capital is recognized to be the most significant knowledge assets by scholars and field experts, such as Dr. Peter Drucker, the Nobel Winner Dr. Theodore Schultz, and Dr. Jack Welch, former CEO of General Electric., with effective knowledge management yields substantial growth and profit. The sustainable management of knowledge created from IC is also critical to survival, as well as, success for the long run to organization and individual alike. MICE (meeting, incentive, convention, and exhibition) industry has been known for its multiplying effect on economic prosperity by the developed countries and some developing regions around the globe. Although MICE have been in operation for some time in Taiwan, its enormous economic implications have not been noticed until recently. The industry is still at developmental stage working on growth, together with prominent outlook makes it an interesting and motivating field to investigate. The researcher would like to contribute to the greater expansion of intellectual capital study and, at the same time, explore this lesser known Taiwan MICE Industry with great potential. Quantitative method was used for data collection, while fifteen Taiwan MICE organizations participated for research. Both pilot test and final result revealed high Cronbach alpha of internal consistency on construct validity. The researcher used Multiple Regression and Partial Least Square to analyze the data collected. The R squares are showing good results indicate that model is withholding. Multiple regression test came out with many significant factors demonstrated intellectual capital existence as well as impact on Taiwan MICE Industry business performance of market leadership and financial performance. Partial Least Square has also signified intellectual capital significance. The relational capital has the most influence for Taiwan MICE Industry. The path from human capital to knowledge management system / structural capital, to relational capital, then business performance path has notable influence. The passage from human capital to relation capital, to business performance also came out with good result. Recommendations were given to Taiwan MICE Industry stakeholders with future research options provided.

    keywords: intellectual capital, knowledge management, knowledge management system, Taiwan mice industry, business performances.

    Intellectual capital is recognized to be the most significant knowledge assets by scholars and field experts, such as Dr. Peter Drucker, the Nobel Winner Dr. Theodore Schultz, and Dr. Jack Welch, former CEO of General Electric., with effective knowledge management yields substantial growth and profit. The sustainable management of knowledge created from IC is also critical to survival, as well as, success for the long run to organization and individual alike. MICE (meeting, incentive, convention, and exhibition) industry has been known for its multiplying effect on economic prosperity by the developed countries and some developing regions around the globe. Although MICE have been in operation for some time in Taiwan, its enormous economic implications have not been noticed until recently. The industry is still at developmental stage working on growth, together with prominent outlook makes it an interesting and motivating field to investigate. The researcher would like to contribute to the greater expansion of intellectual capital study and, at the same time, explore this lesser known Taiwan MICE Industry with great potential. Quantitative method was used for data collection, while fifteen Taiwan MICE organizations participated for research. Both pilot test and final result revealed high Cronbach alpha of internal consistency on construct validity. The researcher used Multiple Regression and Partial Least Square to analyze the data collected. The R squares are showing good results indicate that model is withholding. Multiple regression test came out with many significant factors demonstrated intellectual capital existence as well as impact on Taiwan MICE Industry business performance of market leadership and financial performance. Partial Least Square has also signified intellectual capital significance. The relational capital has the most influence for Taiwan MICE Industry. The path from human capital to knowledge management system / structural capital, to relational capital, then business performance path has notable influence. The passage from human capital to relation capital, to business performance also came out with good result. Recommendations were given to Taiwan MICE Industry stakeholders with future research options provided.

    keywords: intellectual capital, knowledge management, knowledge management system, Taiwan mice industry, business performances.

    Abstract I Table of Contents III List of Tables VII List of Figures IX CHAPTER I. INTRODUCTION 1 Chapter Overview 1 Background of the Study 1 Purposes of the Study 3 Questions of the Study 4 Significance of the Study 4 Limitations and Delimitations 7 Definition of Terms 9 CHAPTER II. LITERATURE REVIEW 13 Chapter Overview 13 Intellectual Capital and Business Performance 13 Concepts, Scope, and Definitions of Intellectual Capital 13 Change of Structural Capital 18 Applicability of Intellectual Capital Knowledge 20 Intellectual Capital and Business Performance Measurement Indicators 24 Taiwan MICE Industry 25 Background of Taiwan MICE Industry 27 Characteristic and Scope of Taiwan MICE Industry 25 Theoretic Framework: Intellectual Capital and Taiwan MICE Industry Integration 28 CHAPTER III. METHODOLOGY 31 Chapter Overview 31 Research Hypotheses 31 Conceptual Framework 32 Research Procedure 33 Measurement Instrument 35 Validity and Reliability 36 Data Collection 37 Data Analysis Methods 38 Partial Least Squares 39 Multiple Regressions 40 CHAPTER IV. DESCRIPTIVE STATISTICS, MULTIPLE REGRESSION FINDINGS AND DISCUSSIONS 43 Chapter Overview 43 Descriptive Statistics 43 Human Capital 44 Structural Capital 45 Relational Capital 46 Validity and Reliability of the Measurement Instrument 47 Multiple Regression Findings 48 Multiple Regression Results Discussion 68 CHAPTER V. PLS FINDINGS AND DISCUSSIONS 71 PLS Findings 71 Cronbach’s Alpha and Individual Item Reliabilities 71 Testing the Measurement Model 72 Experimenting with PLS Using Components’ Average 76 CHAPTER VI. CONCLUSIONS AND RECOMMENDATIONS 79 Chapter Overview 79 Discussion and Implications 79 Multiple Regression Findings on Financial Performance (BP42 ~ BP46)……80 Implication 83 Contribution and Future Research Option 84 Future Research 85 Contribution 86 REFERENCES 89 APPENDIX A: SURVEY Of The STUDY 97 APPENDIX B: SURVEY Of The STUDY LETTER 105 APPENDIX C: REGRESSION TABLES FROM BP(Y)42~BP(Y)46 109 APPENDIX D: The PLS DIAGRAM BASED On COMPONENTS’ AVERAGE 115 APPENDIX E: RESULTS Of PLS ANALYSIS FROM APPENDIX D BASED On COMPONENTS’ AVERAGE 115 APPENDIX F: FINDING BASED On PLS 117 APPENDIX G: CODING Of The ABBREVIATIONS EXPLAINED 117 APPENDIX H: LOADING BASED On SPSS19 119 LIST OF TABLES Table 2.1 Definitions of Intellectual Capital 16 Table 2.2 Intellectual Capital Indicators 23 Table 3.1 Coding System Used in SPSS Data Analysis 41 Table 4.1 Data of Variables by Entries and Values 44 Table 4.2 Human Capital by Likert Scale: Min, Max, Mean, and Standard Deviation 45 Table 4.3 Structural Capital of EKS and SSKS by Likert Scale: Min, Max, Mean, and Standard Deviation 46 Table 4.4 Relational Capital by Likert Scale: Min, Max, Mean, and Standard Deviation 47 Table 4.5 Cronbach Alpha Value (Based on Standardized Items) of Survey Instrument SPSS19 48 Table 4.6 Multiple Regression Table on Market Share of Market Leadership Indicator 50 Table 4.7 Multiple Regression Table of BP38 Organizational Future Prospect of Market Leadership Indicator 54 Table 4.8 Multiple Regression of BP39 Organizational Market Leadership of Market Leadership Indicator 58 Table 4.9 Multiple Regression Table of BP40 Overall Technological & Service Innovation of Market Leadership Indicator 62 Table 4.10 Multiple Regression Table of BP41 Average Sales Growth in Recent 5 Years of Market Leadership Indicator 66 Table 4.11 Loadings based on SPSS19 69 Table 5.1 PLS Loadings 71 Table 5.2 Factor Loadings based on PLS 73 Table 5.3 Path Analysis Based on PLS 74 Table 5.4 Summary of Model Direct and Indirect Effects 76 LIST OF FIGURES Figure 3.1 Conceptual Framework of this Study 33 Figure 3.2 Research Procedure 34 Figure 5.1 Taiwan MICE Industry Intellectual Capital Structural Model 75

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