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研究生: 哈娜比
Hakim, Nabila
論文名稱: The Impact of Big Data and Predictive Analytics on Enhancing Sustainable Supply Chain Performance in the Organization
The Impact of Big Data and Predictive Analytics on Enhancing Sustainable Supply Chain Performance in the Organization
指導教授: 張巍勳
Chang, Wei-Shiun
學位類別: 碩士
Master
系所名稱: 管理學院 - 國際經營管理研究所
Institute of International Management
論文出版年: 2020
畢業學年度: 108
語文別: 英文
論文頁數: 79
外文關鍵詞: Big data and predictive analytics, Sustainability performance, Supply chain
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  • With the adoption of the United Nations (UN) Agenda 2030 and the Sustainable Development Goals (SDGs), we have entered a period in which countries around the world have committed themselves to achieve sustainability. Supply chain sustainability is crucial in making global priorities part of local business, so that the growth of a company's operations, products and services will reflect our planet's realities and better serve customers today and in the future. In 2020, there is a possibility that over fifty billion smart “connected devices” all around the world, with all developed to analyze, share, and collect the data. Therefore, this research tries to analyze the possible impact of big data and predictive analytics (BDPA) which could facilitate the learning culture across organization and also improve sustainability performance according to the knowledge resource through the supply chain process. To test the underlying hypotheses of the research model, this study was conducted using a survey research. The result showed that collaborative involvement in the organization can help the implementation of big data and predictive analytics effectively enhancing the sustainable supply chain performance. However, contrary to the belief, the authors found no support for the mediation effect of openness on the path joining BDPA and sustainable supply chain performance.

    ABSTRACT I ACKNOWLEDGEMENT II TABLE OF CONTENT III LIST OF TABLES VI LIST OF FIGURES VII CHAPTER ONE INTRODUCTION 1 1.1 Research Background. 1 1.2 Research Gap and Research Objective. 5 1.3 Research Contribution. 6 CHAPTER TWO LITERATURE REVIEW 7 2.1 Practice-Based View Theory. 7 2.2 Big Data and Predictive Analytics Implementation. 9 2.2.1 Impact of Big Data to Openness in the Organization. 10 2.2.2 Impact of Big Data to Collaboration Involvement. 11 2.3 Supply Chain Sustainability. 12 2.3.1 Openness and Sustainability Supply Chain Performance. 13 2.3.2 Collaboration Involvement and Sustainability Supply Chain Performance. 14 CHAPTER THREE RESEARCH DESIGN AND METHODOLOGY 16 3.1 Conceptual Framework. 16 3.2 Summary of Hypotheses. 17 3.3 Definition of Variable. 18 3.4 Research Design and Procedure. 19 3.5 Construct Measurement. 20 3.5.1 Big Data and Predictive Analytics (BDPA) Implementation. 20 3.5.2 Openness and Collaboration Involvement. 22 3.5.3 Sustainable Supply Chain Performance. 22 3.6 Data Analysis Procedure. 23 3.6.1 Descriptive Statistical Analysis. 23 3.6.2 Reliability and Validity Test. 24 3.6.3 Covariance Based-Structural Equation Modelling. 24 CHAPTER FOUR RESEARCH RESULT 25 4.1 Study Result. 25 4.1.1 Data Collection. 25 4.1.2 Characteristics of Firms. 26 4.1.3 Characteristics of Respondents. 28 4.1.4 Analysis of Descriptive Statistics. 31 4.2 Reliability and Validity Test. 32 4.3 Structural Model. 37 CHAPTER FIVE CONCLUSION AND SUGGESTIONS 40 5.1 Study Discussion and Conclusion. 40 5.1.1 BDPA Implementation. 41 5.1.2 Openness. 42 5.1.3 Collaboration Involvement. 43 5.2 Theoretical and Managerial Implications. 43 5.2.1 Theoretical Implications. 44 5.2.2 Managerial Implications. 44 5.3 Limitations and Future Research. 45 REFERENCES 46 APPENDICES 51 Appendix 1: Questionnaire in English 51 Appendix 2: Questionnaire in Chinese 60 Appendix 3: Questionnaire in Indonesian 68

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