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研究生: Hisyam
Hisyam
論文名稱: The Role of Open Innovation in Moderating the Agility of Technology Adoption: Evidence From High-tech Industry in Taiwan
The Role of Open Innovation in Moderating the Agility of Technology Adoption: Evidence From High-tech Industry in Taiwan
指導教授: 林希偉
Shi-Woei Lin
口試委員: 林久翔
Chiu-Hsiang Lin
王 敏
Min Wang
學位類別: 碩士
Master
系所名稱: 管理學院 - 工業管理系
Department of Industrial Management
論文出版年: 2019
畢業學年度: 107
語文別: 英文
論文頁數: 98
中文關鍵詞: 科技採用科技同化開放式創新高新技術產業
外文關鍵詞: Technology Adoption, Technology Assimilation, Open Innovation, High-tech Industry
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  • 在技術變革迅速的年代,公司需要不斷探索與採用新技術以建立競爭優勢。雖然近年已存在大量與科技採用及擴散相關的研究,但不管透過研究或者實務的觀察,公司決定採用創新科技並不代表公司能夠促成長期使用該科技的目標。本研究探討企業採用新技術的關鍵因素,並深入分析科技吸收與同化的過程。本研究結合技術-組織-環境架構(technology-organization-environment,TOE),創新擴散理論(diffusion of innovation ,DOI)和科技採用模型(technology acceptance model,TAM)三大創新技術理論,提出了一個研究科技同化(technology assimilation)的概念模型,並使用開放式創新作為科技採用與科技同化間之調節變項。本研究使用來自高科技公司的95名受訪者(含32名前測受訪者)之問卷調查果,並採用偏最小平方路徑建模(PLS-PM)配適及分析模型。研究結果指出環境背景是技術-組織-環境架構中的唯一不具影響力的因素。本研究亦指出開放式創新對科技同化的過程具重要影響,並且調節科技採用與科技同化的之間的關係。雖然開放式創新較高的企業往往具有較高的科技同化水準,但對這樣的公司而言,科技採用與同作之間的關係反而較小。本研究並據此提出重要管理意涵。


    While the pace of technological changes grows rapidly, companies are motivated to constantly explore new technologies in a quest for establishing a resilient competitive advantage. To understand given phenomenon, this research aimed to investigate the key factors for firms to adopt new technologies. Despite the extensive growth of research on technology adoption and diffusion process, the facts from prior studies reveal that technology adoption does not grant a prolonged use of technology. To alleviate such fragmentary, this study extends its focus to analyse the process of technology assimilation according to the stage of evaluation, adoption, and routinization. By combining technological, organizational, and environmental (TOE) theory, diffusion of innovation (DOI) theory , and technological acceptance model (TAM) as the three major technology adoption theories, a conceptual framework to investigate the assimilation was proposed. Additionally, as means to enrich the body of knowledge of technology diffusion and innovation management, a novel idea of this research is displayed through the inclusion of open innovation as a moderating variable that direct the magnitude between technology adoption and routinization. A partial least square path modelling (PLS-PM) is conducted on a sample of 95 respondents (32 for pilot and 63 for full-scale study) from high-tech firms. The findings show that environmental context is the only evaluation factor among the TOE dimensions that not significant in motivating high-tech firms in Taiwan to adopt new technology. Furthermore, the succinct analysis of moderation effect illustrates that open innovation has a significant effect in the process of routinization. It was proved that firms with higher open innovation tend to have a higher level of assimilation. At last, some implications for both research and practice fields also presents.

    TABLE OF CONTENTS Master’s Thesis Recommendation Form ii Qualification Form by Master’s Degree Examination Committee iii 摘要 iv ABSTRACT v ACKNOWLEDGEMENT vi TABLE OF CONTENTS vii LIST OF FIGURES ix LIST OF TABLES x Chapter I Introduction 1 I.1. Research Background 1 I.2. Problem Statement 4 I.3. Research Purpose and Questions 5 I.4. Research Organization 6 Chapter II Literature Review 7 II.1. High-tech Industry in Taiwan 7 II.2. Open Innovation Paradigm 8 II.3. Theories on Technology Implementation 12 II.3.1. Technological, Organizational, Environmental (TOE) Theory 14 II.3.2. Diffusion of Innovation (DOI) Theory 15 II.3.3. Technology Acceptance Model (TAM) 16 II.4. Hypotheses Development 25 II.4.1. Contextual Evaluation 26 II.4.2. Technology Adoption 30 II.4.3. Technology Assimilation 31 II.4.4. Open Innovation as Moderating Effect 32 Chapter III Research Methodology 35 III.1. Research Design 35 III.2. Questionnaire and Scale Development 37 III.3. Sampling and Data Collection 37 II.3.1. Sampling 37 II.3.2. Data Collection 39 III.4. Data Analysis 40 III.4.1. Measurement Model Evaluation 41 III.4.2. Structural Model Evaluation 42 Chapter IV Results and Discussion 45 IV.1. Results of Measurement Model Evaluation 45 IV.1.1. Pilot Study 45 IV.1.2. Full-Scale Study 50 IV.2. Results of Structural Model Evaluation 58 IV.3. Moderating Analysis 62 IV.4. Discussion 65 Chapter V Conclusions and Implications 69 V.1. Conclusions 69 V.2. Research and Practice Implications 69 V.3. Limitations and Future Research Directions 70 REFERENCES 72 APPENDIX 85 Appendix 1. Questionnaire Design 86

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