博碩士論文 etd-0812117-211740 詳細資訊


[回到前頁查詢結果 | 重新搜尋]

姓名 郭碧玉(PI-YU KUO) 電子郵件信箱 mandykuo5689@gmail.com
畢業系所 企業管理學系研究所(Business Management)
畢業學位 碩士(Master) 畢業時期 106學年第1學期
論文名稱(中) 供應鏈金融的風險分配初探
論文名稱(英) An Attempt to Investigate the Risk of Supply Chain Finance
檔案
  • etd-0812117-211740.pdf
  • 本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。
    請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。
    論文使用權限

    紙本論文:5 年後公開 (2022-09-12 公開)

    電子論文:使用者自訂權限:校內 5 年後、校外 5 年後公開

    論文語文/頁數 中文/66
    統計 本論文已被瀏覽 5568 次,被下載 0 次
    摘要(中) 供應鏈金融是一種由供應鏈中資源強勢企業主導,整合需求方、供應方與金融服務提供者,透過計畫、執行與控制金融資源在供應鏈中的流動,以活化資金流、降低交易成本、創造多方共贏的一種途徑。傳統供應鏈金融以上下游賒銷墊款交易為主,供應鏈中的企業直接跟銀行借貸,上下游彼此並無借貸。隨著資通訊科技的進步與發展,更多的企業運營資訊被分享,產業間的商流、物流、資金流與信息流等越來越透明,帶動供應鏈金融的創新突飛猛進。
        供應鏈金融1.0階段,多了商業銀行在核心企業的信用額度內、對實際交易方給予墊款融資,到了供應鏈金融2.0階段,由於金融政策的開放,金融服務的提供者更為多元、各參與方更容易取得融資,供應鏈金融3.0階段,由於大數據與雲端運算技術的加入,使得供應鏈生態圈的各項信息流變得透明,供應鏈金融業務發展更加活絡。
        供應鏈金融要做得有效率,首要之務是瞭解供應鏈中的風險分配情形。本研究試圖探討供應鏈金融業務,於不同階段各參與方在經營上的風險變化情形。利用文獻分析法及次級資料分析法,大量收集供應鏈金融相關之文獻、期刊、報導等資料瞭解各階段供應鏈金融的內涵與運作方式。接著以EVA方法分析企業內部物流的風險,於各階段、各參與方,在沒有特定客戶生產、根據預測生產、根據訂單生產及交付貨物等不同階段所可能面臨的四類型風險中,其風險高低變化情形。供應鏈的型態因產業不同而不同且多樣。為簡化方便分析,本研究將供應鏈簡化為供應商、核心企業與下游批發商等三個參與方。
        研究發現隨著供應鏈金融從傳統逐漸進展至1.0、2.0及3.0,由於更多的參與方與金融服務提供者的加入,風險或被分攤、或被轉嫁,更因為資訊越來越透明,各參與方四類型經營風險亦逐漸獲得分散或降低,形成多方共贏之狀態。
    摘要(英) Supply chain finance(SCF) is driven by the more powerful enterprises in the supply chain that integrats suppliers, wholesalers and finance providers, through the planning, implementation and control of financial resources in order to optimize cash flow, cut down transaction cost and reduce supply chain risk. Traditional SCF focuses on credit allowance, and each company makes their own loans, while companies in the supply chain have no loan relations among them. As information and communication technology advances, more operational information are shared and transparent between businesses, which make innovations on supply chain finance developed quickly.
      In the version 1.0 of supply chain finance, the bank provides loans to the core company, from which other parties in the supply chain get their loans, and the risk is priced on the core company’s credit worthiness, or credit allowance. In version 2.0, financial policy deregulations make multiple financial supply chain data sources available, and loans are earlier to get. In version 3.0, with big data mining and cloud computing technology, data are more transparent and can be transformed into useful information, and supply chain finance shows great prosperity.
      To have an efficient supply chain finance system, risk distribution is one of the major issues needed to be worked on. . This research attempts to investigate the change of risks among various participating businesses. The methodology are documentary analysis and secondary data analysis. Large amount of literature, periodicals, and reports related to supply chain finance are collected upon the chain’s multiple operations during various phases. Then EVA analysis is used to forecast the risks and risk changes among all participating businesses during various stages. The risks are categorized into 4 different production categories-production with no specific customer, production forecasting, production by order, and product delivery. Since different industry’s supply chain varies, we study a simplified supply chain model, which consists of a supplier, a core business and a wholesaler. We conclude that as supply chain finance shifts from 1.0 to 3.0, and more participating businesses and banks join in, various risks are either shared or shifted. Furthermore, better data transparency makes the total risks reduced for all parties for all 4 different production types.
    關鍵字(中)
  • EVA方法
  • 風險
  • 供應鏈金融
  • 供應商
  • 核心企業
  • 關鍵字(英)
  • suppliers
  • EVA
  • Supply chain finance
  • risk
  • core company
  • 論文目次 論文審定書 ........................................................ i
    中文摘要 .......................................................... ii
    Abstract ........................................................ iii
    目錄 ...............................................................v
    圖次 ..............................................................vii
    表次 .............................................................viii
    第一章  緒論..................................................... 1
    第一節 研究背景 ................................................. 1
    第二節 研究動機 ................................................. 2
    第三節 研究目的 ................................................. 4
    第二章  文獻探討 ................................................ 6
    第一節 供應鏈管理(SCM) .......................................... 6
    第二節 供應鏈金融(SCF) .......................................... 7
    第三節 EVA企業價值評估模型 ......................................12
    第三章  研究方法 ................................................16
    第一節 文獻分析法與次級資料分析法 ...............................16
    第二節 資料來源 .................................................17
    第三節 分析方式 .................................................18
    第四章  資料分析與探討 ..........................................19
    第一節 傳統供應鏈金融 ...........................................19
    第二節 供應鏈金融1.0 ............................................23
    第三節 供應鏈金融2.0 ............................................29
    第四節 供應鏈金融3.0 ............................................35
    第五節 小結 .....................................................42
    第五章  結論與建議 ..............................................44
    第一節 研究結論..................................................45
    第二節 學術研究與管理意涵 .......................................46
    第三節 研究限制與未來研究方向 ...................................47
    參考文獻 ..........................................................49
    一、 中文文獻 ..................................................49
    二、 英文文獻 ..................................................50
    附錄1供應鏈金融相關文章列表 .......................................53
    參考文獻 一、 中文部分
    宋華,陳思潔,2016,供應鏈金融的演進與互聯網供應鏈金融:一個理論框架,中國人民大學學報,第5期,95-104。
    伊志宏,宋華,于亢亢,2008,商業銀行金融供應鏈創新與風險控制研究,經濟與管理研究,第7期,54-60。
    胡躍飛,黃少卿,2009,供應鏈金融:背景、創新與概念界定,金融研究,第8期,194-350。
    宋華,2015,供應鏈金融。北京:中國人民大學出版社。
    宋華,2017,互聯網供應鏈金融。北京:中國人民大學出版社。
    馬士華,林勇,2007,供應鏈管理。北京:機械工業出版社。
    前瞻產業研究院,2015,2015-2020中國供應鏈金融市場前瞻與投資戰略規劃分析報告,北京:前瞻產業研究院。
    二、 英文部分
    Gomm, M. L. (2010). "Supply chain finance: applying finance theory to supply chain management to enhance finance in supply chains." International Journal of Logistics Research and Applications 13(2): 133-142.
    Martin, J. and E. Hofmann (2017). "Involving financial service providers in supply chain finance practices: Company needs and service requirements." Journal of Applied Accounting Research 18(1): 42-62.
    Dodd, James L and Chen, Shimin(1997). "Economic value added (EVA)" Arkansas Business and Economic Review, 30, 4. Pg.1
    Bacidore, Jeffrey M. and Boquist, John A. and Milbourn, Todd T. and Thakor, Anjan V.(1997). " The Search for the Best Financial Performance Measure." Financial Analysts Journal Vol. 53, Issue:3.
    Wuttke, David A. and Blome, Constantin and Foerstl, Kai and Henke, Michael (2013). "Managing the Innovation Adoption of Supply Chain Finance—Empirical Evidence From Six European Case Studies." Journal of Business Logistics 34(2): 148–166.
    Liu, Xiaohong and Zhou, Liguo and Wu, Yen-Chun Jim (2015). " Supply Chain Finance in China: Business Innovation and Theory Development. " Sustainability 7(11), 14689-14709.
    Su, Yueliang and Zhong, Baoyu (2017). "The Credit Risk Assessment Model of Internet Supply Chain Finance: Multi-Criteria Decision-Making Model with the Principle of Variable Weight." Journal of Computer and Communications 5, 20-30.
    Timme, S. G. and Williams-Timme, C. (2000). "The Financial-SCM Connection.", Supply Chain Management Review, Vol. 4 NO.2 pp.33 40.
    Lambert, Douglas M. and Burduroglu, Renan (2000). "Measuring and Selling the Value of Logistics." The International Journal of Logistics Management, Vol. 11 Issue: 1, pp.1-18.
    More, Dileep and Basu, Preetam (2013). "Challenges of supply chain finance: A detailed study and a hierarchical model based on the experiences of an Indian firm.", Business Process Management Journal, Vol. 19 Issue: 4, pp.624-647.
    Hofmann, Erik and Johnson, Mark (2016). "Guest editorial" International Journal of Physical Distribution & Logistics Management, Vol. 46 Issue:4.
    Dyckman, Bob (2009). "Integrating supply chain finance into the payables process." Journal of Payments Strategy and Systems, Volume 3 Number 4.
    Hofmann, Erik (2009). "Inventory financing in supply chains: A logistics service provider‐approach.", International Journal of Physical Distribution & Logistics Management, Vol. 39 Issue: 9, pp.716-740
    Liebl, John and Hartmann, Evi and Feisel, Edda (2016). "Reverse factoring in the supply chain: objectives, antecedents and implementation barriers.", International Journal of Physical Distribution & Logistics Management, Vol. 46 Issue: 4, pp.393-413.
    Luo, Y. and Chen, Z.Y. and Chen, C.X.(2015). "Robust optimization in warehouse space allocation of pledges in supply chain financing.", Advances in Transportation Studies an international Journal, Vol. 1 Special Issue, pp.99-110.
    Gelsomino, Luca Mattia and Mangiaracina, Riccardo and Perego, Alessandro and Tumino, Angela (2016) "Supply chain finance: a literature review.", International Journal of Physical Distribution & Logistics Management, Vol. 46 Issue: 4, pp.348-366.
    Lekkakos, Spyridon Damianos and Serrano, Alejandro (2016). "Supply chain finance for small and medium sized enterprises: the case of reverse factoring.", International Journal of Physical Distribution & Logistics Management, Vol. 46 Issue: 4, pp.367-392.
    Pfohl, Hans-Christian and Gomm, Moritz (2009). "Supply chain finance: optimizing financial flows in supply chains", Logistics Research, Vol. 1 Issue:3-4 pp.149-161.
    Randall, Wesley S. and Farris II, M. Theodore (2009). "Supply chain financing: using cash‐to‐cash variables to strengthen the supply chain.", International Journal of Physical Distribution & Logistics Management, Vol. 39 Issue: 8, pp.669-689.
    Lu, Lauren Xiaoyuan and Swaminathan, J. M. "Supply Chain Management", International Encyclopedia of the Social & Behavioral Sciences, Vol. 22 pp. 15281–15285.
    Ellram, Lisa M. and Cooper, Martha C. (2014). " Supply Chain Management: It’s all About The Journey, Not The Destination.", Journal of Supply Chain Management, Volume 50, Issue: 1 pp.8-20.
    Yan, Nina and Sun, Baowen (2013). "Coordinating loan strategies for supply chain financing with limited credit.", OR Spectrum, Vol. 35, Issue: 4, pp 1039–1058.
    Filbeck, Greg and Kumar, Sanjay and Liu, Jiangxia and Zhao, Xin (2016). "Supply chain finance and financial contagion from disruptions: Evidence from the automobile industry.", International Journal of Physical Distribution & Logistics Management, Vol. 46 Issue: 4, pp.414-438.
    Dyckman, Bob (2011). "Supply chain finance: Risk mitigation and revenue growth.", Journal of Corporate Treasury Management , Vol. 4 Issue: 2, pp.168-173.
    Seuring, Stefan and Müller, Martin (2008). "From a literature review to a conceptual framework for sustainable supply chain management.", Journal of Cleaner Production, Vol. 16 Issue: 15, pp.1699-1710.
    口試委員
  • 黃北豪 - 召集委員
  • 黃振聰 - 委員
  • 梁慧玫 - 指導教授
  • 口試日期 2017-08-31 繳交日期 2017-09-12

    [回到前頁查詢結果 | 重新搜尋]


    如有任何問題請與論文審查小組聯繫