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研究生: 楊素月
Yang, Su-Yueh
論文名稱: 組織智慧資本與知識移轉績效:知識屬性、聯盟形式及因果模糊性之調和效果
Intellectual Capital and Knowledge Transfer Performance: the Moderating Roles of Knowledge Attribute, Alliance Form, and Causal Ambiguity
指導教授: 陳忠仁
Chen, Chung-Jen
學位類別: 碩士
Master
系所名稱: 管理學院 - 國際管理碩士在職進修專班(IMBA)
International Master of Business Administration(IMBA)
論文出版年: 2005
畢業學年度: 93
語文別: 英文
論文頁數: 76
中文關鍵詞: 知識屬性知識移轉智慧資本聯盟形式因果模糊性
外文關鍵詞: causal ambiguity, alliance forms, knowledge attribute, Intellectual capital, knowledge transfer
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  •   儘管知識創造為組織策略成功基礎的重要性已漸漸受大眾普遍認同,組織仍必須受益於不間斷地知識交易以降低自行創造的風險並維持其競爭優勢。此外,過去文獻較少涉及組織智慧資本與知識移轉績效的關聯。為延伸及進一步探討對知識移轉績效的瞭解,本研究提出並實證調查組織智慧資本與知識移轉績效的關聯,並進一步探討知識屬性、聯盟形式及因果模糊性在組織智慧資本與知識移轉績效關係中的調和效果。

      本研究以中華徵信所5000大企業為母體回收樣本數97份,回收率19.4%。本研究的母體是以中華徵信所所公布的5000大企業為主要調查對象,採分層隨機抽樣的方式,每1000家企業層抽取100家,共計樣本數500。詢問對象為公司之高階管理者,並以公司為單位一家廠商寄出一份樣本。回收之有效問卷為97份,問卷之有效回收率為19.4%。

      研究結果發現關係資本對知識移轉績效產生正向的影響,顯示知識移轉過程中聯盟雙方的關係可以促進移轉知識績效,而人力資本對知識移轉績效會產生影響,但結構資本則不會影響移轉知識績效;此外,知識屬性、聯盟形式及因果模糊性對組織智慧資本在知識移轉績效的過程中,會產生不同程度的調和作用。

     Despite the growing awareness of the importance of knowledge creation as the fundamental to firms’ strategic success, firms should still benefit from practices involved ongoing knowledge exchange to reduce risks of self-sufficiency and to sustain their competitive advantage. Moreover, little attention has been given to researching this topic in examining the linkage of firm’s intellectual capital and knowledge transfer performance. To extend and further our understanding of knowledge transfer performance, this study proposes and empirically investigates the linkage between intellectual capital and knowledge transfer performance. Further, the strengthen of the relationships between knowledge attributes, alliance forms, and causal ambiguity will be also examined in light of possible moderating effects.

     A random stratified sampling method was used to choose 100 firms, listed as top 5,000 firms of Taiwan in the China Credit Information Service Incorporation, in each of the five levels. From the 500 mailed questionnaire mailed in the study, 97 completed, usable questionnaires were collected, yielding a response rate of 19.4%.

     The major findings of this study include: First, the results of the regression analyses reveal that the impact on knowledge transfer performance is partially supported with respect to human, not supported with respect to structural capital, and strongly supported with respect to relational capital. Secondly, the results of the t-test suggest that knowledge attribute, alliance forms and causal ambiguity have the moderating effects with the linkage of intellectual capital and knowledge transfer performance.

    TABLE OF CONTENTS ACKNOWLEDGES I ABSTRACT II TABLE OF CONTENTS IV TABLE CATALOGUE VII FIGURE LIST IX CHARPTER ONE INTRODUCTION 1 1.1 Research background and motivations 1 1.2 Research objectives 5 1.3 Research procedure 6 CHARPTER TWO LITERATURE REVIEW 7 2.1 Previous Research on Strategic Alliance 7 2.1.1 Alliance formation 7 2.1.2 The choice of governance structure in alliance 10 2.1.3 The effectiveness and performance of alliance 12 2.1.4 Learning situation or knowledge acquisition through alliance 14 2.1.5 Conclusion 17 2.2 Knowledge-based view 20 2.3 Hypotheses Development 21 2.3.1 Intellectual Capital 21 2.3.1.1 Human Capital 21 2.3.1.2 Structural Capital 22 2.3.1.3 Relational Capital 23 2.3.2 Knowledge attribute, intellectual capital and knowledge transfer performance 24 2.3.3 Alliance forms, intellectual capital and knowledge transfer performance 25 2.3.4 Causal ambiguity, intellectual capital and knowledge transfer performance 26 CHARPTER THREE RESEARCH DESIGN & METHODOLOGY 28 3.1 Research Framework 29 3.2 Hypotheses 30 3.3 Construct Measurement 31 3.3.1 Human Capital 31 3.3.2 Structural Capital 32 3.3.3 Relational Capital 33 3.3.4 Knowledge attribute 34 3.3.5 Alliance Form 34 3.3.6 Causal Ambiguity 35 3.3.7 Performance 36 3.4 Data Collection and Sampling 37 3.5 Returned Questionnaire and characteristics of Respondents 38 3.5.1 Characteristics of Respondents 38 3.5.2 Common Method Variance and Non-response bias 39 3.5.2.1 Common Method Variance 39 3.5.2.2 Non-response bias 39 3.6 Data Analysis Procedure 40 3.6.1 Descriptive statistic analysis 40 3.6.2 Factor Analysis 40 3.6.3 Item-to-total Correlation 40 3.6.4 Internal Consistency Analysis (Cronbach’s alpha) 41 3.6.5 Multiple regression analysis 41 3.6.6 t-test 41 CHARPTER FOUR RESEARCH ANALYSIS & RESULTS 42 4.1 Reliability Test 42 4.2 The Discrepancy Between Firm Characteristics and Knowledge Transfer Performance 47 4.3 Multiple Regression Analysis for the Relationship between Intellectual Capital and Knowledge Transfer Performance 48 4.4 Knowledge Attribute on the Relationships Among Human Capital, Structural Capital, Relational Capital and Knowledge Transfer performance 49 4.5 Alliance form on the Relationships Among Human Capital, Structural Capital, Relational Capital and Knowledge Transfer performance 52 4.6 Causal Ambiguity on the Relationships Among Human Capital, Structural Capital, Relational Capital and Knowledge Transfer performance 55 CHARPTER FIVE CONCLUSION AND SUGGESTION 59 5.1 Research Results 59 5.2 Research Contribution 62 5.3 Limitation of this Research 63 REFERENCES 64 APPENDIX: QUESTIONNAIRE 71

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