원문정보
보안공학연구지원센터(IJUNESST)
International Journal of u- and e- Service, Science and Technology
Vol.7 No.4
2014.08
pp.1-10
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Dynamic pricing becomes one of the most attractive research topics in the field of ecommerce. In this paper, a novel dynamic pricing model composed retailer’s current profit and its further development is presented. The core of the model is online customer perceived value, and based on which the optimal price equilibrium is provided. To make goods competitive, we adjust function weight by customer lifetime profit forecast and define goods price upper limit by contrasting goods utilities. An example analysis is done to prove that the pricing model is feasible. The paper gives a pricing method workflow to the online enterprises as a pricing practice direction.
목차
Abstract
1. Introduction
2. Customer Perceived Value of Electronic Commerce
2.1. Definition of Online Customer Perceived Value
2.2. Factors Determination of Online Customer Perceived Value
3. Analyzing Customer Perceived Value Using Conjoint Analysis
3.1. Product Concept and Attribute Level Utility
3.2. Weight of Product Attributes
4. Relationship Between Price and Customer Perceived Value
4.1. Customers Segmentation Based on Cluster Analysis
4.2. Relationship Between Price and Customer Perceived Value Based on Conjoint Analysis
5. Establish Dual-Objective Pricing Model
5.1. Establish Simple-Objective Pricing Model for New Product
5.2. Establish Dual-Objective Pricing Model for Product on Sale
5.3. Adjust Parameter β Value Based on Customer Lifetime Value Analysis
5.4. Set Price Upper Limit in Competitive Markets
6. Example Analysis
7. Conclusions
Acknowledgements
References
1. Introduction
2. Customer Perceived Value of Electronic Commerce
2.1. Definition of Online Customer Perceived Value
2.2. Factors Determination of Online Customer Perceived Value
3. Analyzing Customer Perceived Value Using Conjoint Analysis
3.1. Product Concept and Attribute Level Utility
3.2. Weight of Product Attributes
4. Relationship Between Price and Customer Perceived Value
4.1. Customers Segmentation Based on Cluster Analysis
4.2. Relationship Between Price and Customer Perceived Value Based on Conjoint Analysis
5. Establish Dual-Objective Pricing Model
5.1. Establish Simple-Objective Pricing Model for New Product
5.2. Establish Dual-Objective Pricing Model for Product on Sale
5.3. Adjust Parameter β Value Based on Customer Lifetime Value Analysis
5.4. Set Price Upper Limit in Competitive Markets
6. Example Analysis
7. Conclusions
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보