| dc.contributor.advisor | 劉秀明 | zh_TW |
| dc.contributor.advisor | Liu, Sandra | en_US |
| dc.contributor.author (Authors) | 茉莉 | zh_TW |
| dc.contributor.author (Authors) | Alexa Yasmine Folgar Fuentes | en_US |
| dc.creator (作者) | 茉莉 | zh_TW |
| dc.creator (作者) | Fuentes, Alexa Yasmine Folgar | en_US |
| dc.date (日期) | 2021 | en_US |
| dc.date.accessioned | 4-Aug-2021 15:07:02 (UTC+8) | - |
| dc.date.available | 4-Aug-2021 15:07:02 (UTC+8) | - |
| dc.date.issued (上傳時間) | 4-Aug-2021 15:07:02 (UTC+8) | - |
| dc.identifier (Other Identifiers) | G0108933059 | en_US |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/136442 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 國際經營管理英語碩士學位學程(IMBA) | zh_TW |
| dc.description (描述) | 108933059 | zh_TW |
| dc.description.abstract (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. | en_US |
| dc.description.tableofcontents | TABLE OF CONTENTS1. Introduction 11.1. The pharmaceutical market in Guatemala 11.2. Big data use in the pharmaceutical sector 21.3. Big data use in other industries 41.4. Supply Chain Management in Pharmaceutical Companies 61.5. Uses of big data analytics (BDA) in supply chain management in the pharmaceutical industry 92. Research Methodology 142.1. Research Objectives 142.2. Methodology 152.3. Research Questions 153. Findings and Discussion 163.1. Description of the respondents 163.2. Enablement results 193.3. Effectiveness Results 253.4. Earnings Results 344. Recommendations and Limitations 375. References 386. Appendix 406.1. Appendix 1 406.1.1. ENABLEMENT 416.1.2. EFFECTIVENESS 436.1.3. EARNINGS 476.2. Appendix 2 48 | zh_TW |
| dc.format.extent | 1600188 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0108933059 | en_US |
| dc.subject (關鍵詞) | 供應鏈管理 | zh_TW |
| dc.subject (關鍵詞) | 大數據分析 | zh_TW |
| dc.subject (關鍵詞) | 製藥公司 | zh_TW |
| dc.subject (關鍵詞) | 瓜地馬拉 | zh_TW |
| dc.subject (關鍵詞) | 調查分析 | zh_TW |
| dc.subject (關鍵詞) | Supply Chain Management | en_US |
| dc.subject (關鍵詞) | Big Data Analytics | en_US |
| dc.subject (關鍵詞) | Pharmaceutical Companies | en_US |
| dc.subject (關鍵詞) | Guatemala | en_US |
| dc.subject (關鍵詞) | Survey Analysis | en_US |
| dc.title (題名) | 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 | zh_TW |
| dc.title (題名) | Big data use in Supply Chain Management: An understanding of the pharmaceutical companies in Guatemala | en_US |
| dc.type (資料類型) | thesis | en_US |
| dc.relation.reference (參考文獻) | References1. 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-z2. 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, 48645. Addo-Tenkorang, R.; Helo, P. 2016. Big Data applications in operations/ supply-chain management: A literature review. Elsevier. Computers & Industrial Engineering 101, 528-5436. McGrail, S. 2020. Fundamentals of the Pharmaceutical Supply Chain. Pharma News Intelligence. https://pharmanewsintel.com/news/fundamentals-of-the-pharmaceutical-supply-chain7. 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-bet8. 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_Guatemala9. 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.pdf10. UKEssays. 2018. Procurement Strategy in the Pharmaceutical Industry. Retrieved from https://www.ukessays.com/essays/commerce/procurement-strategy-in-pharmaceutical-industry.php?vref=111. 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%20models12. 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 | zh_TW |
| dc.identifier.doi (DOI) | 10.6814/NCCU202100679 | en_US |
