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A Study on Determinants of Cloud Computing Adoption in Republic of Korea

  • 발행기관 아주대학교
  • 지도교수 Beong Yun Chang
  • 발행년도 2012
  • 제출일 2012-06-22
  • 학위수여년월 2012. 8
  • 학위명 석사
  • 학과 국제대학원 국제경영학과
  • 실제URI http://www.dcollection.net/handler/ajou/000000012633
  • 본문언어 영어
  • 저작권 아주대학교 논문은 저작권에 의해 보호받습니다.

초록/요약

The purpose of this study is to examine the major determinants of cloud computing adoption in Republic of Korea (Rep. of Korea) by applying the two widely used information technology (IT) adoption theories at firm level i.e. Diffusion of Innovation and Technology, Organization Environment framework. We have combined and modified these theories to fit with the context of cloud computing. The eight factors, selected as determinants of cloud computing, were; top management support, degree of formalization, infrastructure availability, organizational size, technological complexity, relative advantage, competitors’ pressure and trading partners’ pressure. A questionnaire based survey was used to collect data. The questionnaire was distributed to 125 IT experts out of which 60 usable responses were collected yielding a 48% response rate. Several statistical data analysis methods were applied mainly, factor analysis method and logistic regression. Relative advantage and top management support were found to be the significant determining factors of cloud computing adoption in Rep. of Korea. In contrast, formalization, technological complexity, competitors’ pressure and trading partners’ pressure were found to be insignificant. Plausible justification for the insignificance of these factors is made. Keywords: cloud computing adoption, information technology, diffusion of innovation, technology-organization- environment.  

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목차

CHAPTER ONE INTRODUCTION 1
1.1 Statement of the problem . 1
1.2 Objective and cope of the study 2
CHAPTER 2 OVERVIEW OF CLOUD COMPUTING. 5
2.1 Definition of cloud computing 5
2.2 Types of cloud computing . 5
2.3 Merits and demerits of cloud computing 7
CHAPTER 3 LITERATURE REVIEW ON INFORMATION
TECHNOLOGY ADOPTION 11
3.1 IT adoption theories 11
3.2 DOI theory . 12
3.3. TOE framework 13
CHAPTER 4 RESEARCH MODEL, METHODOLOGY AND DATA . 16
4.1 Research model 16
4.2 Research methodology. 20
4.3 Data 22
CHAPTER 5 EMPERICAL ANALYSIS AND DISCUSION OF REASULTS 23
5.1 Scale reliability and factor analysis 23
5.2 Data analysis 25
5.3 Discussion of results. 28
CHAPTER 6 CONCLUSION 31
REFERENCE 34
APPENDIX 1. 38
APPENDIX 2 40
APPENDIX 3 42
APPENDIX 4 43

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