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Is blockchain adoption expected to enhance value creation in SSCM and firm performance: Kyrgyz Republic and Republic of Korea cases
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Chang Byeong-Yun | - |
| dc.contributor.author | KENZHEBAEVA ASYLGUL | - |
| dc.date.accessioned | 2019-08-13T16:40:26Z | - |
| dc.date.available | 2019-08-13T16:40:26Z | - |
| dc.date.issued | 2019-08 | - |
| dc.identifier.other | 28996 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/15383 | - |
| dc.description | 학위논문(석사)--아주대학교 일반대학원 :경영학과,2019. 8 | - |
| dc.description.tableofcontents | ABSTRACT i LIST OF FIGURES iv LIST OF TABLES v LIST OF ABBREVIATIONS vi CHAPTER 1: INTRODUCTION 1 CHAPTER 2: LITERATURE REVIEW 5 2.1. Blockhain 5 2.2. Sustainable Supply Chain Issues and Blockchain 7 2.2.1. Business/Economy 7 2.2.2. Society 8 2.2.3. Environment 8 2.3. Sustainable Supply Chain Management and Firm Performance 9 2.4. Determinants of Blockchain Adoption in Supply Chains 10 2.5. Prospective Sensemaking and Blockchain Applications 12 CHAPTER 3: RESEARCH METHODOLOGY 14 3.1. The Conceptual Research Model 14 3.1.1. Technology-Organizational-Environmental (TOE) Model 16 3.1.2. The Unified Theory of Acceptance and Use of Technology (UTAUT) 18 3.1.3. Expectations from Blockchain Adoption 20 3.2. Sample Selection and Data Collection 21 3.2.1. Pilot Study 21 3.2.2. Final Survey 22 CHAPTER 4: DATA ANALYSIS AND FINDINGS 25 4.1. Data Analysis 25 4.2. Exploratory Factor Analysis 26 4.3. Common Method Bias 28 4.4. Measurement Model 28 4.4.1. Reliability of Measurement Scale 28 4.4.2. Validity of Measurement Scale 29 4.5. Structural Path Model 33 CHAPTER 5: CONCLUSION AND FUTURE RESEARCH 39 5.1. Discussion 39 5.2. Research Implications 42 5.3. Conclusion 44 5.4. Limitations and Future Research 44 REFERENCES 46 APPENDIX 1: Indicators of Research Model 56 APPENDIX 2: Reliability and Validity Results (Pilot Study) 57 APPENDIX 3: Demographic Profile (Kyrgyz Republic) 58 APPENDIX 4: Demographic Profile (Republic of Korea) 59 APPENDIX 5: Exploratory Factor Analysis Result (Kyrgyz Republic) 60 APPENDIX 6: Exploratory Factor Analysis Result (Republic of Korea) 61 APPENDIX 7: Cross Loadings (Kyrgyz Republic) 62 APPENDIX 8: Cross Loadings (Republic of Korea) 63 | - |
| dc.language.iso | eng | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | Is blockchain adoption expected to enhance value creation in SSCM and firm performance: Kyrgyz Republic and Republic of Korea cases | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 일반대학원 | - |
| dc.contributor.department | 일반대학원 경영학과 | - |
| dc.date.awarded | 2019. 8 | - |
| dc.description.degree | Master | - |
| dc.identifier.localId | 952038 | - |
| dc.identifier.uci | I804:41038-000000028996 | - |
| dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/common/orgView/000000028996 | - |
| dc.description.alternativeAbstract | Globalization has made supply chains more complex, involving multiple enterprises from different parts of the world, diversified product portfolios and making hard to deal with coordination. Organizations have responded to this challenge by implementing technologies, which allow them to gain competitive advantage. In this outlook, blockchain has a great potential to solve important glitches in supply chain transparency and traceability and forge a relationship between an organization and its stakeholders. This paper advances the literature on blockchain adoption in the supply chains by developing and statistically validating a model for understanding the determinants of blockchain adoption and the expected impact of blockchain adoption on sustainable supply chain management and firm performance. The model was developed based on the integration of Technology, Organization and Environment (TOE), Unified Theory of Acceptance and Use of Technology (UTAUT) models, and Prospective Sensemaking Theory. The developed model was then estimated using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings revealed that there are important differences in blockchain adoption decisions across the countries. Whereas performance expectancy and social influence play important roles in blockchain adoption decisions in Kyrgyz Republic case, effort expectancy and geographic scope of a firm were found to be significantly related to blockchain adoption intention in Republic of Korea case. The paper concludes with some important implications for theory research and useful insights for implementation strategies. | - |
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- Graduate School of Ajou University > Department of Business Administration > 3. Theses(Master)
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