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研究生:張均婷
研究生(外文):Jin-Ting Chang
論文名稱:供應鏈組織間關係導向對知識分享影響之研究-以供應鏈感染與非正式社會鏈結為干擾變項
論文名稱(外文):Inter-organizational Relationships and Knowledge Sharing in a supply chain ---Moderating by Supply Chain Contagion and Informal Social Ties
指導教授:陳昭宏陳昭宏引用關係
指導教授(外文):Jao-Hong Cheng
學位類別:碩士
校院名稱:國立雲林科技大學
系所名稱:資訊管理系碩士班
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2010
畢業學年度:98
語文別:英文
論文頁數:67
中文關鍵詞:非正式社會鏈結供應鏈感染知識分享關係導向關係治理結構方程式模型
外文關鍵詞:Relational OrientationStructural Equation ModelingRelational GovernanceSupply Chain ContagionKnowledge SharingInformal Social Ties
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知識分享被視為是供應鏈中提高策略競爭力的方法之一,組織間關係的密切發展則可以有利於組織之間的知識分享,在供應鏈組織間,關係導向已經成為了一個日益重要的議題。其中,關係治理是有助於維持供應鏈組織間關係的主要觀點。有鑒於過去文獻鮮少談論完整的理論架構說明供應鏈組織間行為的關係治理的現象以及研究影響組織間知識分享之因素,本研究提出一個概念架構以供應鏈組織間感染行為以及非正式的社會鏈結作為干擾變項,以研究其對於供應鏈組織間關係導向影響知識分享之行為的交互作用。
實證分析係針對台灣前2000大製造業之廠商為研究主體,並以製造商與夥伴廠商作為研究單位,而將填答對象設定為與夥伴廠商有相關業務往來之單位主管、採購主管或對供應鏈有相關經驗之單位主管填寫。本研究採用郵寄方式進行問卷調查,經催收與整理後,共得有效問卷233份,有效問卷回收率達11.7%。應用結構方程式模型實證的結果顯示,本研究的衡量模型與結構模型皆具備良好的配適度,模型中共3條假說,在p<0.05下,共有3條假說獲得支持。
研究結果顯示組織間關係治理行為能夠加強幫助組織之間的知識分享以提高競爭優勢。關係導向正向影響組織間知識分享行為,而透過供應鏈組織間感染的作用,可以有效提高夥伴合作關係提高知識分享意願;除此之外,非正式社會鏈結亦可以加強合作夥伴彼此的關係,藉由供應鏈成員之間的關係網絡、資訊與意見分享來改善企業彼此間知識分享。供應鏈中的組織應該重視企業合作關係以及知識分享以加強整體的競爭優勢。
Sharing knowledge in a supply chain is one way to enhance strategic competitiveness. It is generally agreed that the development of close relationships facilitates knowledge sharing among supply chain partners. Relational governance is a major perspective for the maintenance of inter-organizational relationships in supply chains. The empirical literatures seldom construct the theoretical framework to illustrate the behavior of above phenomenon of inter-organizational relationship. To address the issue of governance relationships within the partnership in a supply chain and investigate factors influencing inter-organizational knowledge sharing, this study develops a conceptual model that supply chain contagion and informal social ties as a moderating construct to examined the interactive effects that affect knowledge sharing and these relationships.
The findings of the study provide practical insights in understanding how enhanced relational value can help enhancing inter-organizational knowledge sharing for achieving the competitive advantage of supply chains. This study found that the inclination of a company to develop relationships, called relational orientation, is positively associated with its willingness to share knowledge with partners. The study also found that supply chain contagion between supply chain members increases the willingness of partners to enhance their relationships with other partners for improving knowledge sharing. Moreover, informal social ties were increased to build or enhance relationships to improve knowledge sharing. Members of the network are connected through interpersonal ties that diffuse private information and advice. Firms in supply chain should reinforce their relationship collaborative behaviours and knowledge sharing in order to enhance the competitive advantage of the supply chain as a whole.
CONTENTS
Abstract(in Chinese) i
Abstract(in English) iv
CONTENTS vii
LIST of TABLES ix
LIST of FIGURES x
1. Introduction 1
1. 1 Relational orientation on knowledge sharing in supply chain 5
1. 2 Relational governance on knowledge sharing in supply chain 7
2. Literature Review 10
2. 1 Relational Orientation 10
2. 2 Supply Chain Contagion 12
2. 2. 1 Contagion In Theory 12
2. 2. 2 Supply Chain Contagion 12
2. 3 Informal Social Ties 15
2. 4 Knowledge Sharing 17
3. Research Model 19
3. 1 Research Model 19
3. 2 Hypothesis Development 20
3. 2. 1 Relational Orientation Impact to Knowledge Sharing 20
3. 2. 2 Supply chain contagion as moderating effect to relational orientation impact to knowledge sharing 22
3. 2. 3 Informal social ties as moderating effect to relational orientation impact to knowledge sharing 24
4. Research Method 26
4. 1 Measures 26
4. 2 Pretest and pilot-test 28
4. 3 Data collection and respondents'' profile 29
5. Research Result 31
5. 1 Assessment of the measurement model 31
5. 2 Assessment of the structural model 34
5. 3 Hypotheses testing 36
6. Discussion and Conclusions 38
6. 1 Discussion and Implications 38
6. 2 Conclusions and Future Research 41
References 45
Appendix A: 52
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