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    Title: 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
    Authors: 茉莉
    Fuentes, Alexa Yasmine Folgar
    Contributors: 劉秀明
    Liu, Sandra
    茉莉
    Alexa Yasmine Folgar Fuentes
    Keywords: 供應鏈管理
    大數據分析
    製藥公司
    瓜地馬拉
    調查分析
    Supply Chain Management
    Big Data Analytics
    Pharmaceutical Companies
    Guatemala
    Survey Analysis
    Date: 2021
    Issue Date: 2021-08-04 15:07:02 (UTC+8)
    Abstract: 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.
    Reference: References
    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
    Description: 碩士
    國立政治大學
    國際經營管理英語碩士學位學程(IMBA)
    108933059
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0108933059
    Data Type: thesis
    DOI: 10.6814/NCCU202100679
    Appears in Collections:[國際經營管理英語碩士學程IMBA] 學位論文

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