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題名 資料處理服務業的競爭力分析: S公司之個案研究
Competitive Analysis of the Data Processing Service Industry: A Case Study of Company S
作者 謝富勇
Hsieh, Fu-Yung
貢獻者 陳嬿如
Chen, Yenn-Ru
謝富勇
Hsieh, Fu-Yung
關鍵詞 資料處理
帳單
信用卡
Data Processing
Billing
Credit card
日期 2024
上傳時間 5-Aug-2024 12:36:57 (UTC+8)
摘要 隨著科技進步與專業分工的普及及數據處理需求的增加,對於高效率及安全的資料處理要求也越來越高。許多業者選擇將非核心業務委外,以專注於其核心競爭力,從而促進資料處理服務業的發展。本研究透過質性研究的五力分析、SWOT分析及策略行銷4C架構分析深入探討台灣資料處理服務業的發展及其市場變化的競爭力,並研究一家資料處理公司價值導入的過程,從而梳理出專業的資料處理服務公司的必要衡量指標及每個資料處理流程環節的管控要素。本研究不僅描繪了一家資料處理公司在帳單行業領導者的全貌,也對台灣資料處理服務業的發展提供了豐富的洞見和建議。
With the advancement of technology, the proliferation of specialized tasks, and the growing demand for data processing, the need for efficient and secure data handling has increased. Many businesses outsource non-core activities to focus on their core competencies, fostering the growth of the data processing service industry. This study employs qualitative research methods, including Five Forces analysis, SWOT analysis, and the strategic marketing 4C framework, to explore the development and market dynamics of Taiwan's data processing service industry. It examines the process of value integration in a data processing company, identifying key performance indicators and control elements for each data processing stage. The research provides insights and recommendations for the industry's development, showcasing a leading billing company and offering a comprehensive view of Taiwan's data processing service sector.
參考文獻 一、 中文文獻: 1. 麥克·波特. (2019). 競爭策略. 天下文化出版股份有限公司. 2. 麥克·波特. (2010). 競爭優勢. 天下文化出版股份有限公司. 3. 邱志聖著(2020),策略行銷分析:架構與實務應用,元照出版有限公司。 二、 網路參考文獻: 1. 第一台通用型電子計算機——專利糾葛、優劣並存的 ENIAC │《電腦簡史》數位時代(十)https://pansci.asia/archives/193801 2. 3位深度學習先鋒科學家獲頒2018年圖靈獎https://www.ithome.com.tw/news/129650 3. 一文帶你了解數據完整性(Data Integrity)! | Thermo Fisher Scientific - TW https://www.thermofisher.com/tw/zt/home/new-ideas/chromatography-and-mass-spectrometry-line-blog/data-integrity.html 4. iT 邦幫忙::一起幫忙解決難題,拯救 IT 人的一天 (ithome.com.tw) https://ithelp.ithome.com.tw/m/articles/10323459 5. What Is Data Quality? | IBM https://www.ibm.com/topics/data-quality#:~:text=the%20next%20step-,What%20is%20data%20quality%3F,governance%20initiatives%20within%20an%20organization 6. 打通大資料處理的4種新觀念 | iThome https://www.ithome.com.tw/tech/82615 7. 什麼是資料整合? | Google Cloud https://cloud.google.com/learn/what-is-data-integration?hl=zh-tw 8. 什麼是資料安全性? | Microsoft 安全性https://www.microsoft.com/zh-tw/security/business/security-101/what-is-data-security 9. 顧客滿意度 - MBA智库百科 (mbalib.com) https://wiki.mbalib.com/zh-tw/%E9%A1%BE%E5%AE%A2%E6%BB%A1%E6%84%8F%E5%BA%A6 三、 英文文獻: 1. Porter, M. E. (1980). Competitive strategy: Techniques for analyzing industries and competitors. New York: Free Press. 2. Burks, Arthur, Electronic Computing Circuits of the ENIAC, Proceedings of the I.R.E., 1947, 35 (8): 756–767, doi:10.1109/jrproc.1947.234265 3. Burks, Arthur; Burks, Alice R., The ENIAC: The First General-Purpose Electronic Computer, Annals of the History of Computing, 1981, 3 (4): 310–389, doi:10.1109/mahc.1981.10043 4. L. Moody, S. McMillan(2002). Maintaining Data Integrity in Randomized Clinical Trials, Controlled Clinical Trials, 23(3), 279-292 5. Gilbert Sam(2022). Collecting Digital Data with the Assurance of Integrity, International Journal of Information Management, 66, 102417 6. Abdallat, M. M. (2007). The relationship between customer satisfaction and customer loyalty in the banking sector in Syria. Journal of Applied Business Research, 8(2), 507-520 7. Anderson, E. W., Fornell, C., & Mazvancheryl, S. K. (2004). Customer satisfaction and shareholder value. Journal of Marketing, 68(4), 121-139 8. Chandrashekaran, M., Rotte, K., Tax, S. S., & Grewal, R. (2007). Satisfaction strength and customer loyalty. Journal of Marketing Research, 44(1), 153-163
描述 碩士
國立政治大學
經營管理碩士學程(EMBA)
111932034
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0111932034
資料類型 thesis
dc.contributor.advisor 陳嬿如zh_TW
dc.contributor.advisor Chen, Yenn-Ruen_US
dc.contributor.author (Authors) 謝富勇zh_TW
dc.contributor.author (Authors) Hsieh, Fu-Yungen_US
dc.creator (作者) 謝富勇zh_TW
dc.creator (作者) Hsieh, Fu-Yungen_US
dc.date (日期) 2024en_US
dc.date.accessioned 5-Aug-2024 12:36:57 (UTC+8)-
dc.date.available 5-Aug-2024 12:36:57 (UTC+8)-
dc.date.issued (上傳時間) 5-Aug-2024 12:36:57 (UTC+8)-
dc.identifier (Other Identifiers) G0111932034en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/152526-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 經營管理碩士學程(EMBA)zh_TW
dc.description (描述) 111932034zh_TW
dc.description.abstract (摘要) 隨著科技進步與專業分工的普及及數據處理需求的增加,對於高效率及安全的資料處理要求也越來越高。許多業者選擇將非核心業務委外,以專注於其核心競爭力,從而促進資料處理服務業的發展。本研究透過質性研究的五力分析、SWOT分析及策略行銷4C架構分析深入探討台灣資料處理服務業的發展及其市場變化的競爭力,並研究一家資料處理公司價值導入的過程,從而梳理出專業的資料處理服務公司的必要衡量指標及每個資料處理流程環節的管控要素。本研究不僅描繪了一家資料處理公司在帳單行業領導者的全貌,也對台灣資料處理服務業的發展提供了豐富的洞見和建議。zh_TW
dc.description.abstract (摘要) With the advancement of technology, the proliferation of specialized tasks, and the growing demand for data processing, the need for efficient and secure data handling has increased. Many businesses outsource non-core activities to focus on their core competencies, fostering the growth of the data processing service industry. This study employs qualitative research methods, including Five Forces analysis, SWOT analysis, and the strategic marketing 4C framework, to explore the development and market dynamics of Taiwan's data processing service industry. It examines the process of value integration in a data processing company, identifying key performance indicators and control elements for each data processing stage. The research provides insights and recommendations for the industry's development, showcasing a leading billing company and offering a comprehensive view of Taiwan's data processing service sector.en_US
dc.description.tableofcontents 摘 要 I ABSTRACT II 圖 次 IV 表 次 V 第一章、緒論 1 第一節 研究背景與動機 1 第二節 研究目的 2 第三節 研究流程與架構 2 第二章、產業與相關文獻探討 4 第一節 資料處理服務業介紹 4 第二節 專業服務業的競爭優勢 14 第三節 策略分析工具 19 第三章 研究方法 22 第一節 個案分析法 22 第二節 研究議題 22 第四章 個案分析與討論 24 第一節 個案公司介紹 24 第二節 服務競爭力分析 26 第三節 導入服務價值之過程 31 第四節 效益分析 52 第五章 結論與建議 55 第一節 研究發現 55 第二節 限制與建議 56 參考文獻 59zh_TW
dc.format.extent 3681431 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0111932034en_US
dc.subject (關鍵詞) 資料處理zh_TW
dc.subject (關鍵詞) 帳單zh_TW
dc.subject (關鍵詞) 信用卡zh_TW
dc.subject (關鍵詞) Data Processingen_US
dc.subject (關鍵詞) Billingen_US
dc.subject (關鍵詞) Credit carden_US
dc.title (題名) 資料處理服務業的競爭力分析: S公司之個案研究zh_TW
dc.title (題名) Competitive Analysis of the Data Processing Service Industry: A Case Study of Company Sen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) 一、 中文文獻: 1. 麥克·波特. (2019). 競爭策略. 天下文化出版股份有限公司. 2. 麥克·波特. (2010). 競爭優勢. 天下文化出版股份有限公司. 3. 邱志聖著(2020),策略行銷分析:架構與實務應用,元照出版有限公司。 二、 網路參考文獻: 1. 第一台通用型電子計算機——專利糾葛、優劣並存的 ENIAC │《電腦簡史》數位時代(十)https://pansci.asia/archives/193801 2. 3位深度學習先鋒科學家獲頒2018年圖靈獎https://www.ithome.com.tw/news/129650 3. 一文帶你了解數據完整性(Data Integrity)! | Thermo Fisher Scientific - TW https://www.thermofisher.com/tw/zt/home/new-ideas/chromatography-and-mass-spectrometry-line-blog/data-integrity.html 4. iT 邦幫忙::一起幫忙解決難題,拯救 IT 人的一天 (ithome.com.tw) https://ithelp.ithome.com.tw/m/articles/10323459 5. What Is Data Quality? | IBM https://www.ibm.com/topics/data-quality#:~:text=the%20next%20step-,What%20is%20data%20quality%3F,governance%20initiatives%20within%20an%20organization 6. 打通大資料處理的4種新觀念 | iThome https://www.ithome.com.tw/tech/82615 7. 什麼是資料整合? | Google Cloud https://cloud.google.com/learn/what-is-data-integration?hl=zh-tw 8. 什麼是資料安全性? | Microsoft 安全性https://www.microsoft.com/zh-tw/security/business/security-101/what-is-data-security 9. 顧客滿意度 - MBA智库百科 (mbalib.com) https://wiki.mbalib.com/zh-tw/%E9%A1%BE%E5%AE%A2%E6%BB%A1%E6%84%8F%E5%BA%A6 三、 英文文獻: 1. Porter, M. E. (1980). Competitive strategy: Techniques for analyzing industries and competitors. New York: Free Press. 2. Burks, Arthur, Electronic Computing Circuits of the ENIAC, Proceedings of the I.R.E., 1947, 35 (8): 756–767, doi:10.1109/jrproc.1947.234265 3. Burks, Arthur; Burks, Alice R., The ENIAC: The First General-Purpose Electronic Computer, Annals of the History of Computing, 1981, 3 (4): 310–389, doi:10.1109/mahc.1981.10043 4. L. Moody, S. McMillan(2002). Maintaining Data Integrity in Randomized Clinical Trials, Controlled Clinical Trials, 23(3), 279-292 5. Gilbert Sam(2022). Collecting Digital Data with the Assurance of Integrity, International Journal of Information Management, 66, 102417 6. Abdallat, M. M. (2007). The relationship between customer satisfaction and customer loyalty in the banking sector in Syria. Journal of Applied Business Research, 8(2), 507-520 7. Anderson, E. W., Fornell, C., & Mazvancheryl, S. K. (2004). Customer satisfaction and shareholder value. Journal of Marketing, 68(4), 121-139 8. Chandrashekaran, M., Rotte, K., Tax, S. S., & Grewal, R. (2007). Satisfaction strength and customer loyalty. Journal of Marketing Research, 44(1), 153-163zh_TW