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研究生: 林瑞琪
Lin, Ruei-Chi
論文名稱: 知識吸收能力對創新績效之影響-社會認知理論觀點
The Influence on Innovation Performance of Knowledge Absorptive Capacity-Social Cognitive Perspective
指導教授: 蔡明田
Tsai, Ming-Tien
學位類別: 碩士
Master
系所名稱: 管理學院 - 企業管理學系
Department of Business Administration
論文出版年: 2010
畢業學年度: 98
語文別: 英文
論文頁數: 71
中文關鍵詞: 知識吸收能力創新社會認知理論網絡中心性知識分享
外文關鍵詞: Knowledge absorptive capacity, Innovation performance, Social cognitive, Network centrality, Knowledge sharing
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  • 本研究藉由「社會認知理論」觀點來探討知識吸收能力對創新績效之影響,此外,更進一步研究知識分享文化以及知識網絡中心性是否會對知識吸收能力與創新績效造成影響。本研究藉由從文獻回顧中所發展出的十四個研究假設來探討研究架構中不同構面之關係。

    本研究以便利抽樣方式將問卷發放於台灣北中南部科技產業之各大企業以收集資料。研究顯示,「知識吸收能力」、「知識分享文化」和「知識網絡中心性」都與「創新績效」產生正相關。此外,「知識分享文化」和「知識網絡中心性」皆有助於提升知識吸收能力。研究結果更顯示,透過社會認知理論 -環境、個人以及行為之三元決定論,組織能夠建立一個知識友善的工作環境,培養組織成員對知識的吸收能力,進而有效提升創新績效。

    This study investigates the influence on innovation performance of knowledge absorptive capacity in the social cognitive perspective. In addition, the study also examines the effect of knowledge sharing culture and network centrality for the knowledge absorptive capacity and innovation performance. Based on literature review, fourteen hypotheses are developed to address the inter-relationships between dimensions. One pair of questionnaire is also designed and sends to the technology corporations in Taiwan.

    All hypotheses are tested with regression analysis and the conceptual model fitness is tested with the structure equation model. Fourteen hypotheses are all supported. Generally, the testing results present that the knowledge absorptive capacity, knowledge sharing culture, and knowledge network centrality are all positively related to the innovation performance. Furthermore, knowledge sharing culture and knowledge network centrality affect knowledge absorptive capacity in the positive way.

    This research contributes to the field of social cognitive theory by providing an empirically research explores the inter-relationships between environment, people, and behavior. It identifies the relationships of knowledge absorptive capacity, innovation performance, knowledge network centrality, and knowledge sharing culture. The result serves for managers as a guide to develop a knowledge-friendly organization which possesses excellent innovation performance.

    LIST OF TABLE vi LIST OF FIGURE vii CHAPTER I INTRODUCTION 1 1-1 Research Background and Research Motivation 1 1-2 Research Objectives 2 1-3 Research Process 2 1-4 Organization of the Thesis 4 CHAPTER II LITERATURE REVIEW 6 2-1 Social Cognitive Theory 6 2-2 Knowledge Sharing 7 2-2-1 Knowledge and Knowledge Management 7 2-2-2 Knowledge Sharing Culture 8 2-2-3 Knowledge Sharing Behavior 9 2-3 Knowledge Network Centrality 11 2-3-1 Definition of Network 11 2-3-2 Network Position: Centrality 12 2-4 Knowledge Absorptive Capacity 14 2-4-1 The definition of absorptive capacity 14 2-4-2 The Dimensions of Absorptive Capacity 16 2-5 Innovation Performance 19 2-5-1 Definition of Innovation 19 2-5-2 The Measurement of Innovation 20 2-5-3 Types of Innovation 21 2-6 Interrelationships among Research Constructs 23 2-6-1 The Effect of Knowledge Sharing Culture Influence on Knowledge Absorptive Capacity 23 2-6-2 The Effect of Knowledge Network Centrality Influence on Knowledge Absorptive Capacity 24 2-6-3 The Effect of Knowledge Absorptive Capacity Influence on Innovation Performance 25 2-6-4 The Effect of Knowledge Network Centrality Influence on Innovation Performance 27 2-6-5 The Effect of Knowledge Sharing Culture Influence on Innovation Performance 28 CHAPTER III METHODOLOGY 29 3-1 The Conceptual Model 29 3-2 Operational Definition and Measurement 30 3-2-1 Knowledge Sharing Culture 30 3-2-2 Knowledge Network Centrality 30 3-2-3 Knowledge Absorptive Capacity 31 3-2-4 Innovation Performance 31 3-3 Hypotheses to be Tested 34 3-4 Questionnaire Design 35 3-5 Data Collection 36 3-6 Data Analysis Techniques 37 3-6-1 Factor Analysis, and Reliability Analysis 37 3-6-2 Descriptive Statistics Analysis 38 3-6-3 Interrelationships Between Research Variables 38 CHAPTER IV RESULTS AND DISCUSSION 40 4-1 Reliable and Validity 40 4-1-1 Factor Analysis 40 4-1-2 Reliable and Validity 40 4-2 Descriptive Analysis of Respondents and Research Constructs 43 4-3 Hypothesis Testing 47 4-4 Result of Structural Equation Modeling 52 CHAPTER V CONCLUSIONS AND SUGGESTIONS 54 5-1 Conclusions 54 5-2 Empirically Tested Model 57 5-3 Research Contributions 58 5-4 Limitations and Suggestions for Future Research 59 REFERENCE 61 APPENDIXES 67

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