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Please use this identifier to cite or link to this item:
https://nccur.lib.nccu.edu.tw/handle/140.119/78271
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Title: | Market Model-Based Channel Selection in B2B E-Commerce: Exploring a Buyer`s Adoption Decisions |
Authors: | Chang, Hsin-Lu;Easley, Robert F.;Shaw, Michael J. 張欣綠 |
Contributors: | 資管系 |
Keywords: | B2B e-Commerce;channel selection;e-Marketplace;internet exchange;market models |
Date: | 2009-10 |
Issue Date: | 2015-09-03 17:39:35 (UTC+8) |
Abstract: | Companies that seek to exploit the cost advantages of business-to-business (B2B) e-Commerce face a variety of strategic options. By analyzing the demand and cost functions for sellers, intermediaries, and buyers, this research develops an economic framework that clarifies the relative advantages of four common B2B e-Commerce channels: private exchange, web-based procurement, public aggregation, and public exchange. This research focuses on addressing two important questions: (1) How does a buyer select a suitable B2B e-Commerce channel (or an e-Marketplace structure) given a variety of market conditions, different levels of product substitution, and a range of purchasing patterns? (2) How does a buyer successfully manage a B2B e-Commerce channel for gaining the highest transaction-level buyer surplus? The analytic and numeric results of our study show that a company`s product offerings, the market conditions it faces, and the purchase patterns it implements are all important determinants in the selection of B2B e-Commerce setting. For custom products, private networks (such as the private exchange or web-based procurement models) are more attractive than the public aggregation or exchange models. However, taking market conditions and purchasing behavior into consideration, the web-based procurement model is more suitable for spot purchasing, while the public exchange model is more suitable for systematic purchasing and fragmented markets. On the other hand, the aggregation model is preferable in concentrated markets while the exchange model is more suitable in fragmented markets. These results provide important implications for industrial development of B2B e-Commerce. |
Relation: | Journal of Organizational Computing & Electronic Commerce, 19(4), 237-264 |
Data Type: | article |
DOI link: | http://dx.doi.org/10.1080/10919390903262602 |
DOI: | 10.1080/10919390903262602 |
Appears in Collections: | [Department of MIS] Periodical Articles
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