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An Experimental Pricing Framework for E-Commerce
DOI:10.3390/jtaer16070141.png)
摘要
En 中文
Characterizing the demand curve of products is important for pricing them optimally. However, in deriving empirical demand curves, econometricians have to contend with identification issues. Furthermore, theoretical demand curves derived using standard economic theory are divorced from empirical realities: firms rarely have information on customers' budget constraints; theoretical utility functions are seldom derived empirically. Recognizing these issues, we propose an experimental approach for determining a product's demand curve and, in turn, its profit-maximizing price in online environments. The proposed approach yields precise estimates and is quick and inexpensive to implement.
Keyword:
pricing strategy
profit maximization
digital products
experimental analysis
期刊
IF:
4.6
论文数:
1.4K
被引数:
2.7K
机构
引用论文
The adoption and impact of E-commerce in rural China: Application of an endogenous switching regression model中国农村电子商务的采用和影响: 内生切换回归模型的应用
The Relationship between E-Commerce and Firm Performance: The Mediating Role of Internet Sales Channels
SUSTAINABILITY
IF3.3
What drives in-app purchase intention for mobile games? An examination of perceived values and loyalty是什么推动了手机游戏的应用内购买意向?对感知价值和忠诚度的考察

