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研究生: 高晨芳
Kao, Chen-Fang
論文名稱: 探討知識分享行為與組織生存與競爭之關係
Measuring the Effects of Knowledge Enablers on Knowledge Sharing Behavior, Organizational Performance, Organizational Survival and Competitiveness: A Case Study of Nan Shan Life Insurance, Co., Ltd.
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: 2016
畢業學年度: 104
語文別: 英文
論文頁數: 91
中文關鍵詞: 知識促動因素知識分享行為組織績效組織存活與競爭金融業
英文關鍵詞: knowledge enablers, knowledge sharing behavior, organizational performance, survival and competitiveness, financial service industry
DOI URL: https://doi.org/10.6345/NTNU202204932
論文種類: 學術論文
相關次數: 點閱:162下載:2
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  • Knowledge management has been important for organizations, as it is a knowledge-exploded world. The use of the internet to disseminate information, requirements of the products’ qualities raised, demands of services increased, and technology progressed to a banking 4.0 system, the need to align business model with knowledge management has become important for companies to survive. The purpose of this study is to explore the relations of knowledge enablers, knowledge sharing behavior, organizational performance, organizational survival and competitiveness in the financial industry context. To carry out this research, Nan Shan Life Insurance Ltd., has agreed to participate in this study. There are 249 questionnaires sent and 225 respondents, and a total of 206 questionnaires are valid, the response rate is 82.7%. An integrated EBOS model with Structural Equation Modeling was created and analyzed by using Partial Least Square method. The results show that knowledge enabler has a positive effect towards knowledge sharing behavior; in which knowledge sharing behavior also has positive effect toward organizational performance, as well as survival and competitiveness. Practical implications and suggestions were also proposed to improve the knowledge management activities in Nan Shan.

    Knowledge management has been important for organizations, as it is a knowledge-exploded world. The use of the internet to disseminate information, requirements of the products’ qualities raised, demands of services increased, and technology progressed to a banking 4.0 system, the need to align business model with knowledge management has become important for companies to survive. The purpose of this study is to explore the relations of knowledge enablers, knowledge sharing behavior, organizational performance, organizational survival and competitiveness in the financial industry context. To carry out this research, Nan Shan Life Insurance Ltd., has agreed to participate in this study. There are 249 questionnaires sent and 225 respondents, and a total of 206 questionnaires are valid, the response rate is 82.7%. An integrated EBOS model with Structural Equation Modeling was created and analyzed by using Partial Least Square method. The results show that knowledge enabler has a positive effect towards knowledge sharing behavior; in which knowledge sharing behavior also has positive effect toward organizational performance, as well as survival and competitiveness. Practical implications and suggestions were also proposed to improve the knowledge management activities in Nan Shan.

    ACKNOWLEDGEMENT………….……………….………...…..……..I ABSTRACT…………………………………….………………..…......III LIST OF TABLES VII LIST OF FIGURES IX CHAPTERⅠINTRODUCTION 1 Background of the Study 1 Purposes of the Study 4 Research Questions 4 Significance of the Study 4 Delimitations and Limitations 6 Definitions of Key Terms 6 Key Assumptions 8 CHAPTER Ⅱ LITERATURE REVIEW 9 Knowledge Sharing 9 Knowledge Enablers 11 Knowledge Sharing Behavior 17 Organizational Performance 23 Organizational Survival and Competitiveness 25 CHAPTER Ⅲ RESEARCH METHOD 27 Research Framework 27 Research Procedure 29 Data Collection 30 Instrumentation 31 Data Analysis Technique 35 CHAPTER IV DESCRIPTIVE STATISTICS AND PILOT STUDY RESULTS 39 Sample Characteristics 39 Descriptive Statistics Analysis 40 Pilot Study 47 PLS Result for Pilot Study 51 Main Study Results 55 Correlations Analysis 55 Validity and Reliability Analysis 57 Partial Least Square (PLS) Analysis 59 Testing Measurement Model 60 CHAPTER V RESEARCH CONCLUSION 65 Research Conclusions 65 Research Recommendations 66 Research Contribution 67 Recommendations for Future Research 68 REFERENCES 69 APPENDIX A: RESEARCH QUESTIONNAIRE (ENGLISH) 74 APPENDIX B: RESEARCH QUESTIONNAIRE (CHINESE) 84 APPENDIX C: PLS RESULTS 90

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