repository
Special Graduate Schools
Graduate School of International Studies
Department of International Business
International Business
3. Theses(Master)
Is quantum prediction expected to enhance supply chain management in the hotel and hotel performance?
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Byeong-Yun Chang | - |
| dc.contributor.author | ADHIKARI BINAYA | - |
| dc.date.accessioned | 2022-11-29T02:32:30Z | - |
| dc.date.available | 2022-11-29T02:32:30Z | - |
| dc.date.issued | 2021-02 | - |
| dc.identifier.other | 30907 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/20042 | - |
| dc.description | 학위논문(석사)--Graduate School of International Studies Ajou University :국제경영학과,2021. 2 | - |
| dc.description.tableofcontents | CHAPTER 1: INTRODUCTION 1 CHAPTER 2: LITERATURE REVIEW 7 2.1. Quantum Computing 7 2.1.1 Quantum Prediction or Prediction through Quantum Computing 8 2.2 SCM in the Hotel and Quantum Prediction 10 2.2.1 SCM (Communication) 12 2.2.2 SCM (Supplier Relationship) 13 2.3 SCM in the Hotel and Hotel Performance 13 2.3.1 Service Quality 14 2.3.2 Financial and Non-financial Performance 15 2.4 Overview of Predictive Value Theory and Quantum Prediction 16 CHAPTER 3: RESEARCH METHODOLOGY 18 3.1 Introduction 18 3.2 The Conceptual Research Model 19 3.3 Hypotheses Development 21 3.3.1 Communication 21 3.3.2 Supplier Relationship 22 3.3.3 Service Quality 23 3.3.4 Communication and Service Quality 23 3.3.5 Supplier Relationship and Service Quality 24 3.3.6 Service Quality and Hotel Performance 25 3.3.7 Quantum Prediction, SCM and Hotel Performance 26 3.4 Questionnaire Development 27 CHAPTER 4: DATA ANALYSIS AND FINDINGS 28 4.1 Introduction 28 4.2 Structural Equation Modeling 28 4.3 Measurement Model Assessment 30 4.4 Structural Model Assessment 34 4.5 Research Finding and Discussion 38 4.6 Theoretical Contribution 41 4.7 Practical Contribution 43 4.7.1 Organizational Contribution 43 4.7.2 Managerial Contribution 44 4.7.3 Environmental Contribution 44 CHAPTER 5: CONCLUSION AND FUTURE RESEARCH 46 5.1 Research Implication 46 5.2 Conclusion 47 5.3 Limitation, Recommendation, and Further Research 48 REFERENCES 50 APPENDIX 1: Demographics of Respondent 65 APPENDIX 2: Convergent Validity, Composite Reliability, and AVE 66 APPENDIX 3: Discriminant Validity 67 APPENDIX 4: Measurement Model Assessment 68 APPENDIX 5: Structural Model Assessment 69 APPENDIX 6: Indicator Item Cross-Loading 70 APPENDIX 7: Indicators of Research Model 71 | - |
| dc.language.iso | eng | - |
| dc.publisher | Graduate School of International Studies Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | Is quantum prediction expected to enhance supply chain management in the hotel and hotel performance? | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 국제대학원 | - |
| dc.contributor.department | 국제대학원 국제경영학과 | - |
| dc.date.awarded | 2021. 2 | - |
| dc.description.degree | Master | - |
| dc.identifier.localId | 1203220 | - |
| dc.identifier.uci | I804:41038-000000030907 | - |
| dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/common/orgView/000000030907 | - |
| dc.subject.keyword | SCM in the hotel | - |
| dc.subject.keyword | hotel performance | - |
| dc.subject.keyword | quantum prediction | - |
| dc.subject.keyword | structural equation modeling | - |
| dc.description.alternativeAbstract | To ensure a sustainable hotel business, the hotel must have a sound prediction capability to balance the demand and supply of hospitality products. That such characteristics are utterly different from those of the manufacturing industry adds further challenges to a hotel’s supply chain management (SCM). The hotel’s service is spontaneously given and received by the servers and customers over a relatively short period. Similarly, demand in a hotel can change suddenly. Hence, it is difficult for SCM in the hotel to balance the hotel’s demand and supply, which shows the necessity of an efficient and effective SCM. This study has developed the research model through an extensive literature review, including six constructs: quantum prediction, communication, supplier relationship, service quality, non-financial performance, and financial performance. Statistical analysis was based on the data consolidated through survey questionnaires from individuals working in quantum computing, supply chain, and the hotel industry. Moreover, structural equation modeling has analyzed the data to test the developed hypothesis. The study results show a significant influence of quantum prediction on hotel performance through SCM’s mediating role. Quantum prediction is highly influential in enhancing the SCM in the hotel. However, the direct effect between the quantum prediction and hotel performance is not significant. The finding indicates that if hotels would install quantum technology and utilize quantum prediction, they could benefit from the performance improvement. | - |
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