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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
Big data use in Supply Chain Management: An understanding of the pharmaceutical companies in Guatemala
作者 茉莉
Fuentes, Alexa Yasmine Folgar
貢獻者 劉秀明
Liu, Sandra
茉莉
Alexa Yasmine Folgar Fuentes
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
Supply Chain Management
Big Data Analytics
Pharmaceutical Companies
Guatemala
Survey Analysis
日期 2021
上傳時間 4-Aug-2021 15:07:02 (UTC+8)
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
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
描述 碩士
國立政治大學
國際經營管理英語碩士學位學程(IMBA)
108933059
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0108933059
資料類型 thesis
dc.contributor.advisor 劉秀明zh_TW
dc.contributor.advisor Liu, Sandraen_US
dc.contributor.author (Authors) 茉莉zh_TW
dc.contributor.author (Authors) Alexa Yasmine Folgar Fuentesen_US
dc.creator (作者) 茉莉zh_TW
dc.creator (作者) Fuentes, Alexa Yasmine Folgaren_US
dc.date (日期) 2021en_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) G0108933059en_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) 108933059zh_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 CONTENTS
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
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/#G0108933059en_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 Managementen_US
dc.subject (關鍵詞) Big Data Analyticsen_US
dc.subject (關鍵詞) Pharmaceutical Companiesen_US
dc.subject (關鍵詞) Guatemalaen_US
dc.subject (關鍵詞) Survey Analysisen_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 Guatemalaen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (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
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
zh_TW
dc.identifier.doi (DOI) 10.6814/NCCU202100679en_US