雲端系統採用研究：現狀偏好觀點

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吳政杰(Cheng-Chieh Wu) 查詢紙本館藏

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資訊管理學系

論文名稱

雲端系統採用研究：現狀偏好觀點
(Adopting Cloud Systems: A Status Quo Bias Perspective)

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摘要(中)

雲端運算已經成為一種具有彈性的資訊系統選擇，雖然雲端系統引起相當大的關注，企業似乎對於雲端架構的採行仍然充滿遲疑；本研究從現狀偏好理論(the status quo bias theory)探討有關企業組織回應雲端系統採用之因素，本研究提出系統採用之概念架構，透過34篇已發表之文章進行彚總分析式回顧進行驗證，並檢驗採用型態、系統類型、以及制度壓力類型之調節效果；根據彚總分析發現，提出一量化研究模型並進行實徵驗證。本研究以雲端ERP與雲端CRM為研究標的，進行兩階段的研究調查，本研究資料來自臺灣製造業與服務業，並有303份有效樣本可供後續分析研究；結果顯示，制度壓力、轉換效益、與轉換成本顯著影響雲端系統採用之認知價值；轉換效益與轉換成本為認知風險的重要決定因素；認知價值有助於系統採用，而認知風險則會增加組織抗拒；結果亦顯示在不同雲端系統類型的採用上有差異。本研究發現提供企業雲端系統採用與抗拒之理解基礎，亦提供尋求運用雲端架構的組織相關重要建議。

摘要(英)

Cloud-based environment has been viewed as an elastic alternative of hosting information systems. Although a lot of attention is paid in cloud system applications, organizations in business are still skeptical of adopting cloud framework. The purpose of this study is to investigate the determinants on firms’ reactions toward cloud systems adoption from status quo bias perspective. An integrative conceptual framework of system adoption was proposed and tested by a meta-analytic review with 34 published studies. The moderation effects of adoption type, system type, and institutional pressures type were also examined. Based on the findings of meta-analysis, a quantitative research model was proposed and empirical tested. A two-phase survey was conducted by using cloud ERP and cloud CRM as research target. Data were collected from the leading manufacturing and service firms in Taiwan. A total of 303 usable responses were used for further analyses. The results indicate that institutional pressures, switching benefits, and switching costs have significant influence on the perceived value of cloud system adoption. Switching benefits and switching costs are key determinants of perceived risk. Perceived value contributes to organizational adoption intention, while perceived risk has significant influence on organizational resistance. The results also reveal the difference among the type of cloud systems. The findings provide a foundation for understanding the possible determinants of cloud system adoption and resistance as well as valuable implications to organizations seeking to utilize cloud-based framework.

關鍵字(中)

★ 彙總分析
★ 現狀偏好
★ 系統採用
★ 雲端系統

關鍵字(英)

★ Cloud Computing
★ IS Adoption
★ Status Quo Bias
★ Meta-Analysis

論文目次

中文摘要 i
ABSTRACT ii
誌謝 iii
Contents v
List of Tables ix
List of Figures xi
1. Introduction 1
1.1 Research Background 1
1.2 Research Motivation 4
1.3 Research Questions and Research Scope 6
2. Conceptual Background 9
2.1 Cloud Computing 9
2.1.1 Definition and Characteristics 9
2.1.2 Cloud Systems Adoption 13
2.2 Theoretical Foundations of System Adoption 16
2.2.1 Diffusion of Innovation Theory 16
2.2.2 Institutional Theory 20
2.2.3 Resource-Based View 22
2.2.4 Transaction Cost Economics 24
2.3 Status Quo Bias 26
2.3.1 Theory of Status Quo Bias 26
2.3.2 Status Quo Bias in Cloud Systems Adoption 29
3. Meta-Analytic Review 35
3.1 Conceptual Framework and Literature Searching 35
3.2 Coding of Correlations and Moderators 38
3.3 Meta-Analytic Procedure 42
3.3.1 Hunter and Schmidt Protocol 43
3.3.2 Lipsey and Wilson Protocol 45
3.4 Meta-Analysis Results 47
3.5 Moderator Analyses 52
3.5.1 Type of Adoption 52
3.5.2 Type of System 56
3.5.3 Institutional Pressures 59
3.6 Publication Bias 63
3.7 Summary of the Meta-Analytic Review 65
4. Quantitative Research 66
4.1 Research Model and Hypothesis Development 66
4.1.1 Cognitive Misperception 68
4.1.2 Psychological Commitment 68
4.1.3 Rational Decision Making 70
4.1.4 Perceived Value and Risk 72
4.1.5 Control Variables 73
4.2 Instrument Development 73
4.3 Data Collection 78
4.4 Results of Quantitative Research 83
4.4.1 Measurement Model 83
4.4.2 Structural Model of Full Sample 86
4.4.3 Mediation Analysis 93
4.4.4 Comparison between Cloud ERP and Cloud CRM 96
4.4.5 Post Hoc Analysis 101
5. Discussion and Conclusions 104
5.1 Meta-Analysis Findings 104
5.2 Quantitative Research Findings 105
5.3 Implications for the academic 109
5.4 Implications for practitioners 110
5.5 Limitations and future research directions 112
5.6 Concluding Remarks 112
References 114
Appendix 138
A. Details of Each Study for Meta-Analysis 138
B. Questionnaire 144

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指導教授

范懿文(Yi-Wen Fan)

審核日期

2012-6-14

推文