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研究生： 茉莉
Alexa Yasmine Folgar Fuentes
論文名稱： 供應鏈管理中的大數據應用：瓜地馬拉製藥公司的案例研究
Big data use in Supply Chain Management: An understanding of the pharmaceutical companies in Guatemala
指導教授： 劉秀明
Liu, Sandra
口試委員: 陳春龍
Chen, Samuel
林月雲
Lin, Carol
學位類別： 碩士
Master
系所名稱： 商學院 - 國際經營管理英語碩士學位學程(IMBA)
International MBA Program College of Commerce(IMBA)
論文出版年： 2021
畢業學年度： 109
語文別： 英文
論文頁數： 49
中文關鍵詞： 供應鏈管理 、大數據分析 、製藥公司 、瓜地馬拉 、調查分析
外文關鍵詞： Supply Chain Management, Big Data Analytics, Pharmaceutical Companies, Guatemala, Survey Analysis
DOI URL： http://doi.org/10.6814/NCCU202100679
相關次數： 點閱：72  下載：16 
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    • Big Data Analytics can generate great value in many ways, especially to pharmaceutical companies who strive to maintain supply chain efficiency by integrating and establishing visibility and complexity of all their available data. This case study aims to analyze the Big Data usage in the supply chain management in pharmaceutical companies in Guatemala. A 30-question survey instrument was sent to professionals in the area; receiving 230 completed surveys from a total of 19 companies. The survey included the analytics for enablement, effectiveness, and earnings of the supply chain management.
    It was found that pharmaceutical companies in Guatemala are actively working on the enablement and effectiveness areas regarding the Big Data in Supply Chain Management, while they still need to work and focus on the earnings, specifically on the total cost to serve. It is recommended to replicate this survey in other countries of the area to determine the perception of each country regarding Big Data Analytics.

    1. Introduction 1
    1.1. The pharmaceutical market in Guatemala 1
    1.2. Big data use in the pharmaceutical sector 2
    1.3. Big data use in other industries 4
    1.4. Supply Chain Management in Pharmaceutical Companies 6
    1.5. Uses of big data analytics (BDA) in supply chain management in the pharmaceutical industry 9
    2. Research Methodology 14
    2.1. Research Objectives 14
    2.2. Methodology 15
    2.3. Research Questions 15
    3. Findings and Discussion 16
    3.1. Description of the respondents 16
    3.2. Enablement results 19
    3.3. Effectiveness Results 25
    3.4. Earnings Results 34
    4. Recommendations and Limitations 37
    5. References 38
    6. Appendix 40
    6.1. Appendix 1 40
    6.1.1. ENABLEMENT 41
    6.1.2. EFFECTIVENESS 43
    6.1.3. EARNINGS 47
    6.2. Appendix 2 48

    1. Flood, D.; Mathieu, I.; Chary, A.; García, P. et al. 2017. Perceptions and utilization of generic medicines in Guatemala: a mixed-methods study with physicians and pharmacy staff. BMC Health Services Research. 17, 27. https://doi.org/10.1186/s12913-017-1991-z
    2. Vides, A. 2020. Guatemala principal proveedor de productos farmacéuticos en Centroamérica. AGEXPORT.https://agexporthoy.export.com.gt/sectores-de-exportacion/sector-manufacturas/guatemala-principal-proveedor-de-productos-farmaceuticos-en-centroamerica/
    3. Cealsa. 2020. Desafíos logísticos en la industria farmacéutica y cómo podemos ayudarte. Cealsa blog. https://cealsa.com.gt/blog/desafios-logisticos-en-la-industria-farmaceutica-y-como-podemos-ayudarte/
    4. Onciouiu, I.; Bunget, O.; Turkes, M. et al. 2019. The impact of Big Data Analytics on Company Performance in Supply Chain Management. Sustainability. 11, 4864
    5. Addo-Tenkorang, R.; Helo, P. 2016. Big Data applications in operations/ supply-chain management: A literature review. Elsevier. Computers & Industrial Engineering 101, 528-543
    6. McGrail, S. 2020. Fundamentals of the Pharmaceutical Supply Chain. Pharma News Intelligence. https://pharmanewsintel.com/news/fundamentals-of-the-pharmaceutical-supply-chain
    7. Snapp, J.; Rangarajan, S. 2015. Supply Chain Analytics: Pharma’s Next Big Bet. Pharmaceutical Executive. https://www.pharmexec.com/view/supply-chain-analytics-pharma-s-next-big-bet
    8. Comunicado del Ministerio de Economía (Mineco). 2015. Clasificación como MiPYMe en Guatemala. CentralAmericaData.com. https://www.centralamericadata.com/es/article/home/Clasificacin_como_MiPYMe_en_Guatemala
    9. 2018. Supply Chain Integrity. Supply Chain Visibility is a key part of delivering proof of product integrity. 14th. Annual Temperature Controlled Logistics Europe. Pharma Supply Chain 360. https://www.iqpc.com/media/8927/30913.pdf
    10. UKEssays. 2018. Procurement Strategy in the Pharmaceutical Industry. Retrieved from https://www.ukessays.com/essays/commerce/procurement-strategy-in-pharmaceutical-industry.php?vref=1
    11. Berg, N. 2012. Today´s Pharma: Big Challenges, Big Expectations. Pharma Manufacturing. https://www.pharmamanufacturing.com/articles/2012/084/#:~:text=The%20challenges%20facing%20pharmaceutical%20manufacturing,constantly%20adapt%20their%20business%20models
    12. Fersht, P.; Joshi, R. 2011. HFS Analytics Market Landscape. www.hfsresearch.com.
    13. Merkuryeva, G.; Valberga, A.; Smirnov, A. 2019. Demand Forecasting in pharmaceutical supply chains: A case study. ICTE in Transportation and Logistics. Procedia Computer Science 149 (2019) 3-10

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