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    政大機構典藏 > 商學院 > 企業管理學系 > 學位論文 >  Item 140.119/131458
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/131458


    Title: 第三方B2B電商平臺支援環境下供應鏈金融體系之最優產銷與融資決策方法
    The optimization of production, ordering and financing decisions in supply chain finance system based on a third-party B2B e-commerce platform
    Authors: 陳美燕
    Contributors: 李易諭
    余千智

    陳美燕
    Keywords: 電商平台
    供應鏈金融
    二階規劃
    最優產銷與融資決策
    敏感度分析
    E-commerce platform
    Supply Chain Finance
    Bi-Level Programming
    Date: 2020
    Issue Date: 2020-09-02 11:39:22 (UTC+8)
    Abstract: 資金流動性對供應鏈企業具有重要作用,尤其是對於供應鏈中的中小企業,但是由於中小企業的經營風險大,較難獲得金融機構的信用融資,因此越來越多的中小企業尋求供應鏈金融方式來緩解資金的壓力。與傳統的線下供應鏈金融模式相比,第三方B2B電商平臺支援環境下的供應鏈金融可以將多方系統對接,實現資訊流、物流、金流和商流的高度整合和高效協同,促進資訊在各企業之間快速流通,為眾多的企業提供融資便利。因此,本研究针對第三方B2B電商平臺支援環境下的供應鏈金融體系,當供應鏈成員企業在面臨資金約束,通過第三方B2B電商平臺供應鏈金融模式進行融資時的產銷與融資優化問題。
    本研究首先進行相關文獻探討,以及結合二階規劃方法等設定研究問題、研究範圍及研究目標。
    其次運用個案研究方法調查、對比和總結實務中第三方B2B電商平台供應鏈金融體系的運作模式。
    再次根据個案研究結果設立本研究假設條件。本研究假設利率和質押率固定、不考慮融資作業時間及時取得錢款、到期及時還款、及時生產和運送。在這些假設條件下,建立零售商主導製造商跟隨、滿足確定性市場需求并獲利最大的最優策略之二階規劃模型。分析了無資金約束、有資金約束無供應鏈金融和有資金約束有供應鏈金融3種情境下之最優訂購、生產和融資策略。
    最後運用具體數值對驗證二階規劃模型,求解零售商和製造商最優策略,對比零售商和製造商在3種情境下不同獲利情況。並對決策影響因子(融資利率、質押率、固定融資成本)進行敏感度分析。研究結果發現融資利率、質押率和固定融資成本對零售商的訂購和融資決策及累積利潤、製造商的生產和融資決策及累積利潤、電商平台累積利潤具有重要的影響。
    研究發現第三方B2B電商平台支援環境下的供應鏈金融模式對緩解零售商和製造商資金約束具有一定的作用。本研究有益于補充現有文獻的研究;希望通過本研究的分析能夠對供應鏈企業產銷與融資決策提供幫助。
    Reference: 中文文獻
    中國電子商務研究中心.《2017中國電子商務市場數據監測報告》2018.6.26
    寶象金融研究院, 零壹研究院. (2016). 互聯網+供應鏈金融. 北京: 電子工業出版社.
    陳祥鋒, 朱道立. (2005).現代物流金融服務創新——金融物流. 物流技術, 5(3), 4-6, 15.
    杜軍, 李佳欣. (2018).互聯網環境下電商與銀行線上供應鏈金融合作機制研究. 甘肅科學學報, 30(1), 130-138.
    郭菊娥, 史金召, 王智鑫. (2014).基於第三方B2B平臺的線上供應鏈金融模式演進與風險管理研究. 商業經濟與管理, 267(1), 13-22.
    何昇軒, 沈頌東. (2016).基於第三方B2B平臺的線上供應鏈金融風險評估. 東南學術, 卷 (3),139-147.
    劉俊娥, 佘麗娜. (2014).我國電商發展供應鏈金融業務的必然性分析. 商業時代, (2), 64-65.
    任敏, 陳金龍. (2018).基於第三方B2B電商平臺的銀行供應鏈金融收益分配策略研究. 數學的實踐與認識, 48(4), 42-48.
    深圳發展銀行-中歐國際工商學院供應鏈金融課題組. (2009). 供應鏈金融——新經濟下的新金融. 上海:上海遠東出版社.
    史金召, 郭菊娥. (2015).互聯網視角下的供應鏈金融模式發展與國內實踐研究[J]. 西安交通大學學報(社會科學版), 35(4), 10-16.
    史金召, 郭菊娥, 晏文雋. (2015).線上供應鏈金融中銀行與B2B平臺的激勵契約研究[J]. 管理科學, 28(5), 79-92.
    郭菊娥,史金召,王智鑫.基於協力廠商B2B平臺的線上供應鏈金融模式演進與風險管理研究[J].商業經濟與管理,2014(01):13-22.
    宋華. (2016). 供應鏈金融. 上海: 中國人民大學出版社.
    夏泰鳳. (2011). 基於中小企業融資視角的供應鏈金融研究. 博士. 浙江大學.
    袁荃. (2010). 基於供應鏈金融的中小企業融資決策研究. 博士. 武漢大學.
    丁振輝. (2016)不確定條件下供應鏈金融質押貸款最優質押率研究.首都經濟貿易大學學報, 18(03):29-35
    鄒宗峰,佐思琪,張鵬. (2016)大資料環境下的資料質押供應鏈融資模式研究.科技管理研究,(20):201-205.
    運籌學教材編寫組. 運籌學,北京:清華大學出版社,2005
    廖慶榮,作業研究(第二版),華泰文化,2009
    陳明德,陳武林. 實用管理科學:建立最佳決策方式. 臺北:前程文化
    張琦.(2018)電商行業供應鏈融資模式及效果探討—以阿里巴巴為例.江西財經大學
    劉旭彤.(2016). 京東供應鏈金融運作模式研究. 湖南大學
    薑紅德(2014).金銀島:為大宗商品線上交易融資.中國資訊化, (Z1):52-53
    弭樂,李響. (2012)第三方獨立B2B平臺模式分析——以金銀島為例.國際市場, (Z1):117-122.
    黃卓齡(2010).金銀島網上交易所電子商務運營模式研究.江蘇商論, (04):48-50
    胡鴻雁. 物流金融下的融資與生產運作研究[D].北京交通大學,2015.
    楊國隆,熊高生.作業研究入門導引—使用lingo,文魁資訊,2009
    蘇寧易購集團股份有限公司2018年年度報告,2018
    王媛,毛敏(2019).我國電商平臺供應鏈金融融資模式研究——以螞蟻金服、京東、蘇寧為例.物流工程與管理, 41(03):75-78.
    王文利,駱建文,張欽紅(2013).銀行風險控制下的供應鏈訂單融資策略研究[J].中國管理科學, 21(03):71-78.
    于輝,馬雲麟.(2013).訂單轉保理融資模式的供應鏈金融模型,35(7),1733-1743

    英文文獻
    Amiri, A. S., Torabi, S. A., & Ghodsi, R. (2018). An iterative approach for a bi-level competitive supply chain network design problem under foresight competition and variable coverage. Transportation Research Part E-Logistics and Transportation Review, 109, 99-114.
    Angelo, J. S., & Barbosa, H. J. (2015). A study on the use of heuristics to solve a bilevel programming problem. International transactions in operational research, 22(5), 861-882.
    Audet, C., Savard, G., & Zghal, W. (2007). New branch-and-cut algorithm for bilevel linear programming. Journal of Optimization Theory and Applications, 134(2), 353-370.
    Axsäter, S. (1998). Evaluation of installation stock based (R, Q)-policies for two-level inventory systems with Poisson demand. Operations Research, 46(3-supplement-3), S135-S145.
    Babich, V. (2010). Independence of Capacity Ordering and Financial Subsidies to Risky Suppliers. M&Som-Manufacturing & Service Operations Management, 12(4), 583-607.
    Bandaly, D., Satir, A., & Shanker, L. (2014). Integrated supply chain risk management via operational methods and financial instruments. International Journal of Production Research, 52(7), 2007-2025.
    Bard, J. F. (1983). An algorithm for solving the general bilevel programming problem. Mathematics of Operations Research, 8(2), 260-272.
    Bard, J. F., & Falk, J. E. (1982). An explicit solution to the multi-level programming problem. Computers & Operations Research, 9(1), 77-100.
    Bard, J. F., & Moore, J. T. (1990). A branch and bound algorithm for the bilevel programming problem. SIAM Journal on Scientific and Statistical Computing, 11(2), 281-292.
    Berger, A. N., & Udell, G. F. (2006). A more complete conceptual framework for SME finance. Journal of Banking & Finance, 30(11), 2945-2966.
    Bian, Y., Lemoine, D., Yeung, T. G., Bostel, N., Hovelaque, V., Viviani, J. L., & Gayraud, F. (2018). A dynamic lot-sizing-based profit maximization discounted cash flow model considering working capital requirement financing cost with infinite production capacity. International Journal of Production Economics, 196, 319-332.
    Birge, J. R. (2015). Operations and Finance Interactions. M&Som-Manufacturing & Service Operations Management, 17(1), 4-15. doi:10.1287/msom.2014.0509
    Blackman, I. D., Holland, C. P., & Westcott, T. (2013). Motorola`s global financial supply chain strategy. Supply Chain Management-an International Journal, 18(2), 132-147.
    Bracken, J., Falk, J. E., & McGill, J. T. (1974). The equivalence of two mathematical programs with optimization problems in the constraints. Operations Research, 22(5), 1102-1104.
    Bracken, J., & McGill, J. T. (1973). Mathematical programs with optimization problems in the constraints. Operations Research, 21(1), 37-44.
    Brennan, M. J., Maksimovic, V., & Zechner, J. (1988). Vendor Financing. Journal of Finance, 43(5), 1127-1141.
    Buzacott, J. A., & Zhang, R. Q. (2004). Inventory management with asset-based financing. Management Science, 50(9), 1274-1292.
    Caldentey, R., & Haugh, M. B. (2009). Supply Contracts with Financial Hedging. Operations Research, 57(1), 47-65.
    Calvete, H. I., Galé, C., & Oliveros, M.-J. (2011). Bilevel model for production–distribution planning solved by using ant colony optimization. Computers & Operations Research, 38(1), 320-327.
    Camerinelli, E. (2009). Supply chain finance. Journal of Payments Strategy & Systems, 3(2), 114-128.
    Campelo, M., Dantas, S., & Scheimberg, S. (2000). A note on a penalty function approach for solving bilevel linear programs. Journal of Global Optimization, 16(3), 245-255.
    Candler, W., & Townsley, R. (1982). A linear two-level programming problem. Computers & Operations Research, 9(1), 59-76.
    Caniato, F., Gelsomino, L. M., Perego, A., & Ronchi, S. (2016). Does finance solve the supply chain financing problem? Supply Chain Management-an International Journal, 21(5), 534-549.
    Caridi, M., Crippa, L., Perego, A., Sianesi, A., & Tumino, A. (2010). Measuring visibility to improve supply chain performance: a quantitative approach. Benchmarking: An International Journal, 17(4), 593-615.
    Chao, X. L., Chen, J., & Wang, S. Y. (2008). Dynamic Inventory Management with Cash Flow Constraints. Naval Research Logistics, 55(8), 758-768.
    Chen, S. C., Teng, J. T., & Skouri, K. (2014). Economic production quantity models for deteriorating items with up-stream full trade credit and down-stream partial trade credit. International Journal of Production Economics, 155, 302-309.
    Chen, X., & Hu, C. (2011). The value of supply chain finance Supply Chain Management-Applications and Simulations (pp. 111-132). Rijeka: InTech.
    Claassen, M. J. T., van Weele, A. F., & van Raaij, E. M. (2008). Performance outcomes and success factors of vendor managed inventory (VMI). Supply Chain Management-an International Journal, 13(6), 406-414.
    Cornett, M. M., McNutt, J. J., Strahan, P. E., & Tehranian, H. (2011). Liquidity risk management and credit supply in the financial crisis. Journal of Financial Economics, 101(2), 297-312.
    Coulibaly, B., Sapriza, H., & Zlate, A. (2013). Financial frictions, trade credit, and the 2008-09 global financial crisis. International Review of Economics & Finance, 26, 25-38.
    Danskin, J. M. (1967). The Theory of Max-Min and its Application to Weapons Allocation Problems. New York: Springer-Verlay.
    Darwish, M. A., & Odah, O. M. (2010). Vendor managed inventory model for single-vendor multi-retailer supply chains. European Journal of Operational Research, 204(3), 473-484.
    Dey, J. K., Mondal, S. K., & Maiti, M. (2008). Two storage inventory problem with dynamic demand and interval valued lead-time over finite time horizon under inflation and time-value of money. European Journal of Operational Research, 185(1), 170-194.
    Dong, Y., Xu, K. F., & Dresner, M. (2007). Environmental determinants of VMI adoption: An exploratory analysis. Transportation Research Part E-Logistics and Transportation Review, 43(4), 355-369.
    Edmunds, T. A., & Bard, J. F. (1991). Algorithms for nonlinear bilevel mathematical programs. IEEE transactions on Systems, Man, and Cybernetics, 21(1), 83-89.
    Ellram, L. M. (1991). Supply-chain management: the industrial organisation perspective. International Journal of Physical Distribution & Logistics Management, 21(1), 13-22.
    Etoa, J. B. E. (2011). Solving quadratic convex bilevel programming problems using a smoothing method. Applied Mathematics and Computation, 217(15), 6680-6690.
    Fairchild, A. (2005). Intelligent matching: integrating efficiencies in the financial supply chain. Supply Chain Management-an International Journal, 10(3-4), 244-248.
    Falk, J. E. (1973). A linear max—min problem. Mathematical Programming, 5(1), 169-188.
    Farhat, M., Akbalik, A., Hadj-Alouane, A. B., & Sauer, N. (2019). Lot sizing problem with batch ordering under periodic buyback contract and lost sales. International Journal of Production Economics, 208, 500-511.
    Fortuny-Amat, J., & McCarl, B. (1981). A representation and economic interpretation of a two-level programming problem. Journal of the Operational Research Society, 32(9), 783-792.
    Fugate, B. S., Mentzer, J. T., & Stank, T. P. (2010). Logistics Performance: Efficiency, Effectiveness, and Differentiation. Journal of Business Logistics, 31(1), 43-54.
    Garcia-Appendini, E., & Montoriol-Garriga, J. (2013). Firms as liquidity providers: Evidence from the 2007-2008 financial crisis. Journal of Financial Economics, 109(1), 272-291.
    Gelsomino, L. M., Mangiaracina, R., Perego, A., & Tumino, A. (2016). Supply chain finance: a literature review. International Journal of Physical Distribution & Logistics Management, 46(4), 348-366. doi:10.1108/Ijpdlm-08-2014-0173
    Ghatee, M., & Hashemi, S. M. (2007). Descent direction algorithm with multicommodity flow problem for signal optimization and traffic assignment jointly. Applied Mathematics and Computation, 188(1), 555-566.
    Glock, C. H. (2012). Lead time reduction strategies in a single-vendor–single-buyer integrated inventory model with lot size-dependent lead times and stochastic demand. International Journal of Production Economics, 136(1), 37-44.
    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.
    Grosse-Ruyken, P. T., Wagner, S. M., & Jönke, R. (2011). What is the right cash conversion cycle for your supply chain? International Journal of Services and Operations Management, 10(1), 13-29.
    Guillen, G., Badell, M., Espuna, A., & Puigjaner, L. (2006). Simultaneous optimization of process operations and financial decisions to enhance the integrated planning/scheduling of chemical supply chains. Computers & Chemical Engineering, 30(3), 421-436.
    Gupta, S., & Dutta, K. (2011). Modeling of financial supply chain. European Journal of Operational Research, 211(1), 47-56.
    Hansen, P., Jaumard, B., & Savard, G. (1992). New branch-and-bound rules for linear bilevel programming. SIAM Journal on Scientific and Statistical Computing, 13(5), 1194-1217.
    Harris, F. W. (1990). How Many Parts to Make at Once (Reprinted from Factory the Magazine of Management, Vol 10, Page 135-136, 1913). Operations Research, 38(6), 947-950.
    Hejazi, S. R., Memariani, A., Jahanshahloo, G., & Sepehri, M. M. (2002). Linear bilevel programming solution by genetic algorithm. Computers & Operations Research, 29(13), 1913-1925.
    Hines, C., Hurtt, D. N., & Langsam, S. A. (2000). Shopping for cash management services. Journal of Corporate Accounting & Finance, 12(1), 15-20.
    Hillier and Lieberman, Introduction to Oprations Research,7th ed., McGraw-Hill, 2001
    Hoberg, K., Protopappa-Sieke, M., & Steinker, S. (2017). How do financial constraints and financing costs affect inventories? An empirical supply chain perspective. International Journal of Physical Distribution & Logistics Management, 47(6), 516-535.
    Hofmann, E. (2005). Supply chain finance: some conceptual insights. Beiträge Zu Beschaffung Und Logistik, 203-214.
    Hofmann, E. (2009). Inventory financing in supply chains A logistics service provider-approach. International Journal of Physical Distribution & Logistics Management, 39(9-10), 716-740.
    Hofmann, E., & Kotzab, H. (2010). A Supply Chain-Oriented Approach of Working Capital Management. Journal of Business Logistics, 31(2), 305-330.
    Hossain, M. S. J., Ohaiba, M. M., & Sarker, B. R. (2017). An optimal vendor-buyer cooperative policy under generalized lead-time distribution with penalty cost for delivery lateness. International Journal of Production Economics, 188, 50-62.
    Hu, T., Guo, X., Fu, X., & Lv, Y. (2010). A neural network approach for solving linear bilevel programming problem. Knowledge-Based Systems, 23(3), 239-242.
    Intelligence, G. B. (2007). Global Supply Chain Finance: Empowering CFO’s and Treasurers around Emerging Global Supply Chain Finance Issues and Solutions. Vancouver, British Columbia.
    Ivashina, V., & Scharfstein, D. (2010). Bank lending during the financial crisis of 2008. Journal of Financial Economics, 97(3), 319-338.
    Jiang, Y., Li, X., Huang, C., & Wu, X. (2013). Application of particle swarm optimization based on CHKS smoothing function for solving nonlinear bilevel programming problem. Applied Mathematics and Computation, 219(9), 4332-4339.
    Jinjarak, Y. (2015). Supply Chains, Global Financial Shocks and Firm Behaviour towards Liquidity Needs. World Economy, 38(3), 425-444. doi:10.1111/twec.12202
    Jiye, H., Guoshan, L., & Shouyang, W. (2000). A new descent algorithm for solving quadratic bilevel programming problems. Acta Mathematicae Applicatae Sinica, 16(3), 235-244.
    John Mathis, F., & Cavinato, J. (2010). Financing the global supply chain: growing need for management action. Thunderbird International Business Review, 52(6), 467-474.
    Johnson, M. E., & Whang, S. (2002). E‐business and supply chain management: an overview and framework. Production and Operations Management, 11(4), 413-423.
    Kaplan, S., & Sawhney, M. (2000). E-hubs: the new B2B (business-to-business) marketplaces. Harv Bus Rev, 78(3), 97-103, 214.
    Katehakis, M. N., Melamed, B., & Shi, J. (2016). Cash-Flow Based Dynamic Inventory Management. Production and Operations Management, 25(9), 1558-1575.
    Ketchen, D. J., Rebarick, W., Hutt, G. T. M., & Meyer, D. (2008). Best value supply chains: A key competitive weapon for the 21st century. Business Horizons, 51(3), 235-243.
    Klapper, L. (2006). The role of factoring for financing small and medium enterprises. Journal of Banking & Finance, 30(11), 3111-3130.
    Klapper, L. F., & Randall, D. (2011). Financial crisis and supply-chain financing. In J.-P. Chauffour & M. Malouche (Eds.), Trade Finance During the Great Trade Collapse (pp. 73-86). Washington, DC: The World Bank.
    Kuo, R., & Han, Y. (2011). A hybrid of genetic algorithm and particle swarm optimization for solving bi-level linear programming problem–a case study on supply chain model. Applied Mathematical Modelling, 35(8), 3905-3917.
    Kuo, R., & Huang, C. (2009). Application of particle swarm optimization algorithm for solving bi-level linear programming problem. Computers & Mathematics with Applications, 58(4), 678-685.
    Lamoureux, J.-F., & Evans, T. (2011). Supply chain finance: a new means to support the competitiveness and resilience of global value chains Working Paper No. 2179944, Social Science Research Network. Rochester,NY.
    Lan, K.-M., Wen, U.-P., Shih, H.-S., & Lee, E. S. (2007). A hybrid neural network approach to bilevel programming problems. Applied Mathematics Letters, 20(8), 880-884.
    Lee, H. L. (2004). The triple-A supply chain. Harv Bus Rev, 82(10), 102-112, 157.
    Lee, H. L., & Whang, S. (2002). Supply chain integration over the Internet Supply chain management: Models, applications, and research directions (pp. 3-17): Springer.
    Lekkakos, S. D., & Serrano, A. (2016). Supply chain finance for small and medium sized enterprises: the case of reverse factoring. International Journal of Physical Distribution & Logistics Management, 46(4), 367-392. doi:10.1108/Ijpdlm-07-2014-0165
    Li, X., Tian, P., & Min, X. (2006). A hierarchical particle swarm optimization for solving bilevel programming problems. Paper presented at the International Conference on Artificial Intelligence and Soft Computing.
    Lin, J. Y. F., & Wang, Y. (2016). New Structural Economics and Resource Financed Infrastructure. Pacific Economic Review, 21(1), 102-117. doi:10.1111/1468-0106.12154
    Luo, J. W., & Zhang, Q. H. (2012). Trade credit: A new mechanism to coordinate supply chain. Operations Research Letters, 40(5), 378-384.
    Lv, Y., Chen, Z., & Wan, Z. (2010). A penalty function method based on bilevel programming for solving inverse optimal value problems. Applied Mathematics Letters, 23(2), 170-175.
    Lv, Y., Hu, T., & Wan, Z. (2007). A penalty function method for solving weak price control problem. Applied Mathematics and Computation, 186(2), 1520-1525.
    Lv, Y., Hu, T., Wang, G., & Wan, Z. (2008). A neural network approach for solving nonlinear bilevel programming problem. Computers & Mathematics with Applications, 55(12), 2823-2829.
    Ma, S. (2016). A nonlinear bi-level programming approach for product portfolio management. Springerplus, 5(1), 727. doi:10.1186/s40064-016-2421-0
    Maloni, M. J., & Benton, W. C. (1997). Supply chain partnerships: Opportunities for operations research. European Journal of Operational Research, 101(3), 419-429. doi:Doi 10.1016/S0377-2217(97)00118-5
    Marquez, A. C., Bianchi, C., & Gupta, J. N. (2004). Operational and financial effectiveness of e-collaboration tools in supply chain integration. European Journal of Operational Research, 159(2), 348-363.
    Martin, J., & Hofmann, E. (2017). Involving financial service providers in supply chain finance practices: Company needs and service requirements. Journal of Applied Accounting Research, 18(1), 42-62.
    Mathieu, R., Pittard, L., & Anandalingam, G. (1994). Genetic algorithm based approach to bi-level linear programming. RAIRO-Operations Research-Recherche Opérationnelle, 28(1), 1-21.
    Mentzer, J. T., Min, S., & Michelle Bobbitt, L. (2004). Toward a unified theory of logistics. International Journal of Physical Distribution & Logistics Management, 34(8), 606-627.
    More, D., & Basu, P. (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, 19(4), 624-647.
    Moretto, A., Grassi, L., Caniato, F., Giorgino, M., & Ronchi, S. (2018). Supply chain finance: From traditional to supply chain credit rating. Journal of Purchasing and Supply Management.
    Muu, L. D., & Quy, N. V. (2003). A global optimization method for solving convex quadratic bilevel programming problems. Journal of Global Optimization, 26(2), 199-219.
    Nienhuis, J. J., Cortet, M., & Lycklama, D. (2013). Real-time financing: Extending e-invoicing to real-time SME financing. Journal of Payments Strategy & Systems, 7(3), 232-245.
    Petr, P., Sirpal, R., & Hamdan, M. (2012). Post-crisis emerging role of the treasurer. European Journal of Scientific Research, 86(3), 319-339.
    Pfohl, H.-C., & Gomm, M. (2009). Supply chain finance: optimizing financial flows in supply chains. Logistics research, 1(3-4), 149-161.
    Protopappa-Sieke, M., & Seifert, R. W. (2010). Interrelating operational and financial performance measurements in inventory control. European Journal of Operational Research, 204(3), 439-448.
    Randall, W. S., & Farris, M. T. (2009). Supply chain financing: using cash-to-cash variables to strengthen the supply chain. International Journal of Physical Distribution & Logistics Management, 39(8), 669-689.
    Render, Stair, Jr. Hanna, and Hale. Quantitative Analysis for Management, 12th ed., Pearson, 2015
    Rowshannahad, M., Absi, N., Dauzere-Peres, S., & Cassini, B. (2018). Multi-item bi-level supply chain planning with multiple remanufacturing of reusable by-products. International Journal of Production Economics, 198, 25-37.
    Sahin, K. H., & Ciric, A. R. (1998). A dual temperature simulated annealing approach for solving bilevel programming problems. Computers & Chemical Engineering, 23(1), 11-25.
    San-Jose, L. A., Sicilia, J., & Alcaide-Lopez-de-Pablo, D. (2018). An inventory system with demand dependent on both time and price assuming backlogged shortages. European Journal of Operational Research, 270(3), 889-897.
    Sari, K. (2007). Exploring the benefits of vendor managed inventory. International Journal of Physical Distribution & Logistics Management, 37(7), 529-545.
    Scott, W. R. (1987). The adolescence of institutional theory. Administrative science quarterly, 32(4), 493-511.
    Seifert, D., Seifert, R. W., & Protopappa-Sieke, M. (2013). A review of trade credit literature: Opportunities for research in operations. European Journal of Operational Research, 231(2), 245-256.
    Seifert, R. W., & Seifert, D. (2011). Financing the chain. International commerce review, 10(1), 32-44.
    Shi, J., Guo, J. e., Wang, S., & Wang, Z. (2015). Credit Risk Evaluation of Online Supply Chain Finance Based on Third-party B2B E-commerce Platform: an Exploratory Research Based on China’s Practice. International Journal of u-and e-Service, Science and Technolo-gy, 8(5), 93-104.
    Shi, X. J., & Zhang, S. M. (2014). Trade credit: the interaction of financing, marketing, operations, and risk behavior. Review of Managerial Science, 8(2), 225-248.
    Shih, H.-S., Wen, U.-P., Lee, S., Lan, K.-M., & Hsiao, H.-C. (2004). A neural network approach to multiobjective and multilevel programming problems. Computers & Mathematics with Applications, 48(1-2), 95-108.
    Silvestro, R., & Lustrato, P. (2014). Integrating financial and physical supply chains: the role of banks in enabling supply chain integration. International Journal of Operations & Production Management, 34(3), 298-324.
    Song, H., Yu, K. K., & Lu, Q. (2018). Financial service providers and banks` role in helping SMEs to access finance. International Journal of Physical Distribution & Logistics Management, 48(1), 69-92. doi:10.1108/Ijpdlm-11-2016-0315
    Song, M. L., Chen, M., & Wang, S. H. (2018). Global supply chain integration, financing restrictions, and green innovation: Analysis based on 222,773 samples. International Journal of Logistics Management, 29(2), 539-554.
    Soufani, K. (2001). The role of factoring in financing UK SMEs: a supply side analysis. Journal of Small Business and Enterprise Development, 8(1), 37-46.
    Stewart, G. (1995). Supply chain performance benchmarking study reveals keys to supply chain excellence. Logistics Information Management, 8(2), 38-44.
    Taylor. (2013). Introduction to Management Science, 11th ed.,Pearson
    Taha. (2011). Operations Research: An introduction, 9th ed., Prentice Hall
    Theodore Farris, M., & Hutchison, P. D. (2002). Cash-to-cash: the new supply chain management metric. International Journal of Physical Distribution & Logistics Management, 32(4), 288-298.
    Tsai, C. Y. (2008). On supply chain cash flow risks. Decision Support Systems, 44(4), 1031-1042.
    Wagner, S. M. (2008). Cost management practices for supply chain management: an exploratory analysis. International Journal of Services and Operations Management, 4(3), 296-320.
    Wang, B., Huang, D. C., Li, H. Y., & Ding, J. Y. (2016). Optimal Decisions and Financing Strategies Selection of Supply Chain with Capital Constraint. Mathematical Problems in Engineering.
    Wang, G., Wan, Z., Wang, X., & Fang, D. (2007). Genetic algorithm for solving quadratic bilevel programming problem. Wuhan University Journal of Natural Sciences, 12(3), 421-425.
    Wang, G., Wan, Z., Wang, X., & Lv, Y. (2008). Genetic algorithm based on simplex method for solving linear-quadratic bilevel programming problem. Computers & Mathematics with Applications, 56(10), 2550-2555.
    Wang, G., Wang, X., Wan, Z.-p., & Jia, S. (2007). An adaptive genetic algorithm for solving bilevel linear programming problem. Applied Mathematics and Mechanics, 28(12), 1605-1612.
    Wang, M. M., Zhang, R., & Zhu, X. X. (2017). A bi-level programming approach to the decision problems in a vendor-buyer eco-friendly supply chain. Computers & Industrial Engineering, 105, 299-312.
    Wen, U. P., & Huang, A. D. (1996). A simple Tabu Search method to solve the mixed-integer linear bilevel programming problem. European Journal of Operational Research, 88(3), 563-571.
    White, D. J., & Anandalingam, G. (1993). A penalty function approach for solving bi-level linear programs. Journal of Global Optimization, 3(4), 397-419.
    Wuttke, D. A., Blome, C., Foerstl, K., & Henke, M. (2013). Managing the Innovation Adoption of Supply Chain FinanceEmpirical Evidence From Six European Case Studies. Journal of Business Logistics, 34(2), 148-166.
    Wuttke, D. A., Blome, C., Heese, H. S., & Protopappa-Sieke, M. (2016). Supply chain finance: Optimal introduction and adoption decisions. International Journal of Production Economics, 178, 72-81.
    Wuttke, D. A., Blome, C., & Henke, M. (2013). Focusing the financial flow of supply chains: An empirical investigation of financial supply chain management. International Journal of Production Economics, 145(2), 773-789.
    Xiao, S., Sethi, S. P., Liu, M. Q., & Ma, S. H. (2017). Coordinating contracts for a financially constrained supply chain. Omega-International Journal of Management Science, 72, 71-86.
    Yaakob, S. B., & Watada, J. (2010). Double-layered hybrid neural network approach for solving mixed integer quadratic bilevel problems Integrated Uncertainty Management and Applications (pp. 221-230): Springer.
    Yan, N., Dai, H., & Sun, B. (2014). Optimal bi‐level Stackelberg strategies for supply chain financing with both capital‐constrained buyers and sellers. Applied Stochastic Models in Business and Industry, 30(6), 783-796.
    Yan, N., Sun, B., Zhang, H., & Liu, C. (2016). A partial credit guarantee contract in a capital-constrained supply chain: Financing equilibrium and coordinating strategy. International Journal of Production Economics, 173, 122-133.
    Yan, N. N., Liu, C. Q., Liu, Y., & Sun, B. W. (2017). Effects of risk aversion and decision preference on equilibriums in supply chain finance incorporating bank credit with credit guarantee. Applied Stochastic Models in Business and Industry, 33(6), 602-625.
    Yang, H., & Zhang, X. (2002). Multiclass network toll design problem with social and spatial equity constraints. Journal of Transportation Engineering, 128(5), 420-428.
    Yin, R. K. (2017). Case study research and applications: Design and methods: Sage publications.
    Zhang, B., Duan, D. X., & Ma, Y. R. (2018). Multi-product expedited ordering with demand forecast updates. International Journal of Production Economics, 206, 196-208.
    Zhang, T., Chen, Z., Zheng, Y., & Chen, J. (2016). An improved simulated annealing algorithm for bilevel multiobjective programming problems with application. Journal of Nonlinear Sciences and Applications, 9(6), 3672-3685.
    Zhao, X. D., Yeung, K., Huang, Q. P., & Song, X. (2015). Improving the predictability of business failure of supply chain finance clients by using external big dataset. Industrial Management & Data Systems, 115(9), 1683-1703.
    Zhao, Y., Li, D., & Pan, L. Q. (2015). Cooperation or Competition: An Evolutionary Game Study between Commercial Banks and Big Data-Based E-Commerce Financial Institutions in China. Discrete Dynamics in Nature and Society.
    Zhou, Q., Chen, X. F., & Li, S. T. (2018). Innovative Financial Approach for Agricultural Sustainability: A Case Study of Alibaba. Sustainability, 10(3).
    Zhu, K., Kraemer, K. L., Xu, S., & Dedrick, J. (2004). Information technology payoff in e-business environments: An international perspective on value creation of e-business in the financial services industry. Journal of Management Information Systems, 21(1), 17-54.
    Zhu, Z., Zhao, J., & Bush, A. A. (2020). The effects of e-business processes in supply chain operations: Process component and value creation mechanisms. International Journal of Information Management, 50, 273-285.

    網路資源:
    中商情報網,2018年中國互聯網企業百強排行榜TOP100,取得時間:2019年3月15日http://top.askci.com/news/20180730/1634091127231.shtml,
    維基百科,京東,取得時間:2019年3月16日https://zh.wikipedia.org/wiki/%E4%BA%AC%E6%9D%B1_(%E7%B6%B2%E7%AB%99)
    網經社,【B2B案例】金銀島煤炭網:要建立市場標準重塑交易環境,2017,取得時間:2019年3月18日
    http://www.100ec.cn/detail--6400039.html
    百度百科,e單通,取得時間:2019年3月18日https://baike.baidu.com/item/e%E5%8D%95%E9%80%9A
    中國建設銀行,e單通產品介紹,取得時間:2019年3月17日http://www.ccb.com/cn/edt/20091112_1258008278.html
    京東金融,取得時間:2019年3月20日https://jrhelp.jd.com/show/helpcenter
    聚融通,全球金融綜合服務平臺,取得時間:2019年3月21 https://www.jumorerong.com/
    百度文庫,lingo入門教程,取得時間:2019年6月15日
    https://wenku.baidu.com/view/c4287d29cec789eb172ded630b1c59eef8c79a7d.html?rec_flag=default&sxts=1564132186687
    百度文庫,LINGO教程(基本語法),取得時間:2019年6月21日
    https://wenku.baidu.com/view/a4007a82ec3a87c24028c411.html
    蘇寧易購官方網站,取得時間:2019年9月10日 http://www.suning.cn/cms/enterpriseRegulation/index.htm
    維基百科,蘇寧易購,取得時間:2019年9月10日
    https://zh.wikipedia.org/wiki/%E8%8B%8F%E5%AE%81%E6%98%93%E8%B4%AD
    百度百科:蘇寧易購,取得時間:2019年9月10日
    https://baike.baidu.com/item/%E8%8B%8F%E5%AE%81%E6%98%93%E8%B4%AD
    蘇寧易購網上商城,取得時間2019年9月10日
    https://www.suning.com/
    蘇寧金融企業貸款,取得時間2019年9月10日
    https://qyjr.suning.com/
    中國出台規定 民間借貸年利率上限36%,https://theinitium.com/article/20150807-dailynews-china-1/ 取得時間:2019年9月24
    芝麻信用接入阿裡誠信體系,超1/4中小微企業有芝麻信用分,https://36kr.com/p/5092544,取得時間:2019.9.24
    京東藍鯨征信:https://icredit.jd.com/,取得時間:2019.9.24
    蘇寧金融首次發佈核心金融科技全景圖 將加快技術輸出
    http://company.stcn.com/2019/0312/14919721.shtml,取得時間:2019.9.24
    中國市場調研在線2019-2025年中國嬰兒車市場調查研究及發展趨勢分析報告http://www.cninfo360.com,取得時間:2019.10.7
    Description: 博士
    國立政治大學
    企業管理學系
    104355512
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0104355512
    Data Type: thesis
    DOI: 10.6814/NCCU202001485
    Appears in Collections:[企業管理學系] 學位論文

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