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  • 學位論文

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

摘要


本論文以英文書寫,作者無提供中文摘要。

並列摘要


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.

參考文獻


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

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