Supporting optimization of business-to-business e-commerce relationships
Decision Support Systems
Online support for commerce processes by web retailers
Decision Support Systems
Pricing strategies in B2C electronic commerce: analytical and empirical approaches
Decision Support Systems
Expert Systems with Applications: An International Journal
Managing electronic commerce retail transaction costs for customer value
Decision Support Systems
Evolution of e-commerce Web sites: A conceptual framework and a longitudinal study
Information and Management
A growth theory perspective on B2C e-commerce growth in Europe: An exploratory study
Electronic Commerce Research and Applications
Optimizing customer's selection for configurable product in B2C e-commerce application
Computers in Industry
Computers in Human Behavior
Electronic Commerce Research and Applications
Electronic Commerce Research and Applications
The influence of the commercial features of the Internet on the adoption of e-commerce by consumers
Electronic Commerce Research and Applications
A highly adaptive recommender system based on fuzzy logic for B2C e-commerce portals
Expert Systems with Applications: An International Journal
Rank B2C e-commerce websites in e-alliance based on AHP and fuzzy TOPSIS
Expert Systems with Applications: An International Journal
Repurchase intention in B2C e-commerce-A relationship quality perspective
Information and Management
Expert Systems with Applications: An International Journal
The evaluation of intelligent agent performance - An example of B2C e-commerce negotiation
Computer Standards & Interfaces
International Journal of Information Management: The Journal for Information Professionals
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With the development of e-commerce, online purchasing has made competitions among retailers fiercer than ever. Access on the internet influences traditional purchasing access inevitably. In this paper, the author uses Hotelling model to simulate the dynamic pricing process between online retailers and off-line retailers by the two steps game model. It gives a straightforward demonstration of the dynamic game process and results between the two retailers--online and off-line. Via the solutions of the model, it is revealed that the preference between online purchase and off-line purchase, as well as switching costs, have a direct impact on pricing strategy of retailers. This paper makes a clear and close analysis of the impact, holding that with the existence of long-term profit, competitors will choose to lower the price to win over consumers.