近年來，由於省時且便利等優點，網路商店已列於人們取得商品的來源之一，在此種原因下，網路商店於網路上紛紛林立，且彼此競爭頗為激烈，就全球而言，Amazon為目前規模最大之網路商店，Amazon憑藉著健全的經營與管理模式，使它的競爭力得已超越其他競爭者。
本研究考慮由單一零售商(Amazon)與單一供應商所組成之兩階層通路結構，同時考慮分權與集權式商店兩種情境，在分權式商店模式通路下，供應商先制定商品之零售價，再由Amazon制定商品之營收比例，當Amazon將商品售出後，會將所得一部分給供應商，然在集權式商店模式通路下，商品售價由Amazon與供應商一同制訂。
第一部分探討Amazon的經營模式與管理制度，於經營模式中，本論文論述了目前Amazon的網站機制及經營現況，同時也論述了Amazon在世界各地之倉庫分布情形；在管理制度方面，本研究分別對Amazon之存貨、物流以及供應鏈管理深入作探討，另外本研究也於此部分探討Amazon之商店及拍賣機制各自的收費結構。
第二部分則是探討Amazon的通路模型，在兩種情境下的需求模型則分為確定性及隨機性兩種，本研究分別探討於四種情境下，整體通路或Amazon和供應商各自可獲得的利潤，並且在營收分享的契約下探討集權與分權式通路之最佳的定價策略以及營收分享比例。
本研究顯示集權式通路下的最佳零售價會低於分權式通路下的零售價，同時集權式通路下的最佳利潤會大於分權式通路下，供應商與Amazon各自所得利潤的總和。

In recent years, stores in internet have become one of the channels of buying goods so there are more and more internet stores open and compete with each other intensely. Amazon is the biggest internet store in the world at the present day. It has more competitive than other rivals because of its good operating and managing way.
This research considers centralized and decentralized store which is divided two parts by a single retailer (Amazon) and a single vendor. On the decentralized store channel, the retailer decides the price of the product first, and then Amazon decides the ratio of the revenue sharing. After selling the product, the retailer deducts a percentage from the selling price and remits the balance to the supplier. However, on the centralized store channel, they decide the price together.
Part one discusses Amazon’s operation way and management. In the operation part, we discuss the website’s running way and situation and where it built its warehouses. In the management part, we discuss Amazon’s inventory, logistics and supply chain management deeply. We also discuss the fee structures of Amazon’s store and auction market.
Part two discusses Amazon’s channel model. We divide its channel into centralized and decentralized by the decision maker and method. The demand models are decided or indefinite in these two kinds of model. This research discusses the revenue of the whole channel, Amazon or the vendor in four situations and the optimal price and revenue sharing portion of the central and decentralized channel under the revenue sharing contract.
This research shows that the optimal price of the central channel is lower than the optimal price of the decentralized channel. The optimal revenue of the centralized channel is larger than the sum of the supplier’s and Amazon’s revenue of the decentralized channel.

1.Anderson George 2007, From Retail Wire: Amazon Focuses On Delivering What Customers Need, Supply Chain Diges
2.Ashayeri Jalal, Kampstra Paul 2005, Demand Driven Distribution:
The Logistical Challenges And Opportunities, International Trade And Logistics
3.Bacheldor Beth 2004, From Scratch: Amazon Keeps Supply Chain Close To Home, Information Week
4.Bezos Jeffrey 2006, Amazon Q4 2005 Earnings Conference Call Transcript (AMZN), Seeking Alpha February(2) 1-2
5.Brown Chris, Edwards Elijah 2001, Amazon And The Last Mile Problem
6.Chen Hsinchun, Li Xin, Chau Michael, Ho Yijen, Tseng Chunju 2001, Using Open Web APIs In Teaching Web Mining, 5
7.Chen Jenming, Cheng Hungliang, Chien Meichen 2009, On Channel Coordination Under Revenue Sharing Contract: Can Amazon‟s Fee Structure Coordinate The Channel?, 7-9
8.Chopra Sunil, Mieghem Janvan 2000, Which E-business Is Right For Your Supply Chain?, E-business And The Supply Chain April 26 1-3
9.Cohen Shoshanah, Roussel Joseph 2005, Strategic Supply Chain Management: The Five Disciplines For Top Performance, Core Discipline 2: Develop An End-to-End Process Architecture, 52-53
10.Delfmann Werner, Albers Sascha, Gehring Martin 2002, The Impact Of Electronic Commerce On Logistics Service Providers, International Journal Of Physical Distribution & Logistics Management 32(3) 203-222
11.Ee Lian 2001, Essential Components Of E-commerce Education: Supply Chain And Logistics Management, Teaching And Learning Forum 2001 7-9
12.Goh Mark 2002, Report Of The Symposium On Supply Chain Management For Small And Medium Enterprises, Asian Cases On Supply Chain Management For SMEs, 11-17
13.Hoffman Donna, Novak Thomas 2000, When Exposure-Based Web Advertising Stops Making Sense(And What Cdnow Did About It), Hoffman & Novak 2000 8-14
14.Iyer Bala, Davenport Thomas 2008, Reverse Engineering
Google‟s Innovation Machine, Harvard Business Review 5
15.Kenney Martin 2000, Beyond Transaction Costs: E-commerce And The Power Of The Internet Dataspace, 10-33
16.Kirkpatrick Marshall 2008, Amazon''s Newest Web Service: Shipping Center APIs, Read Write Web
17.Kirkpatrick Marshall 2009, Getting The Goods: The New Amazon/Zappos Supply Chain Story, Read Write Web
18.Kumar Rupesh, Sarathy Vijaya 2009, A Case Study Report On Inventory Management At
Amazon.com, Scribd, 1-33
19.Li Qing, Zhao Jing 2007, A Customer- Centric Service Framework For B2C Website Design:From A Service Computing Perspective, The Sixth Wuhan International Conference On E-Business, 409-416
20.Liang Tingpeng, Czaplewski Andrew, Klein Gary, Jiang James 2009, Leveraging
First-Mover Advantages In Internetbased Consumer Services, Technical Opinion 52(6) 147-148
22.Mayzlin Dina, Yoganarasimhan Hema 2008, Link To Success: How Blogs Build An Audience By Promoting Rivals
23.Petruzzi Nicholas, Dada Maqbool 1999, Pricing And The Newsvendor Problem: A Review
With Extensions, Operations Research 47(2) 183-194
24.Raivio Yrjo 2008, The Broker – A Solution For Global Mobile Services, All Web Links Referenced August 11 5
25.Ranchhod Ashok, Gurauy Calin, Hackney Ray 2000, Internet Transactions And Physical Logistics: Conflict Or Complementarity?, Logistics Information Management 14 33-43
26.Sandoval Greg 2002, How Lean Can Amazon Get?, Cnet News
27.Steiner Ina 2007, New Amazon.com Consignment Program Goes After ''Casual Sellers'', The Independemt Trade Publication For Online Merchants 1676
21. Telesca Luigi, Stanoevskaslabeva Katarina, Rakocevic Veselin 2009, Digital Business: First International ICST Conference, Sptinger
28. Trivedi Hitesh 2007, Vendor Managed Inventory V/S Self Managed Inventory, Rwetail News Update
29. Wang Yunzeng, Jiang Li, Shen Zuojun 2004, Channel Performance Under Consignment Contract With Revenue Sharing, Jstor 50(1) 34-47
30. Wilson Ralph 1998, Analyzing The Drop-Shipping Model For Online Stores, Web Marketing Today, 16
31. Zhao Xuan, Shi Chunming 2009, Structuring And Contracting In
Competing Supply Chains, Science Direct, 4-16
33. 2004, 10 Best Supply Chains Of 2004, Logistic Todat
34. 2005, 2005 Amazon.com Annual Report, Amazon.com, Inc.
35. 2006, 2006 Amazon.com Annual Report, Amazon.com, Inc.
36. 2006, News: Logistics Cost Increases Hit Amazon.com Hard; Free Shipping Program Takes Toll On Profits As Stock Drops, Supply Chain Digest
37. 2007, 2007 Amazon.com Annual Report, Amazon.com, Inc.
38. 2008, 2008 Amazon.com Annual Report, Amazon.com, Inc.
39. 2009, 2009 Amazon.com Annual Report, Amazon.com, Inc.
40. 2009, Amazon, Small Business Notes
41. 2009, Amazon.com Inc. Q1 2009 Earnings Call Transcript, Seeking Alpha
42. 2009, BNSF Logistics Named A Top Logistics Provider, Bnsf Railway
43. 2009, Business To Consumer (B2C): Efficient And Accurate E-fulfillment, Vanderlande
44. Amazon Taps BNSF Logistics To Assist In Optimization Of Inbound Inventory Flow, Shippingline.biz
45. EBay – Amazon Drop Shipping Strategy, Vince Samios - Internet Entrepreneur