Title :
A multi-attribute auction model for online digital goods
Author :
Wanglin Kang ; Lei Wang ; Yanan Jiang
Author_Institution :
Coll. of Econ. & Manage., Shandong Univ. of Sci. & Technol., Qingdao, China
Abstract :
Different form the traditional online digital goods model, this paper considers multi-attribute and online characters of digital goods. A novel on-line auction model is provided to solve the asymmetric information problem between the sellers and buyers when there are multiple decision variables. The price-performance value is introduced into this model to help the buyers to evaluate the multi-attribute digital goods. Furthermore, two auction strategies are present for the buyer, together with their competitive ratios. Finally, the numerical examples are given to illustrate the performance of these strategies by different competitive ratios.
Keywords :
competitive intelligence; decision making; electronic commerce; pricing; asymmetric information problem; auction strategy; buyer; competitive ratio; decision variable; multiattribute auction model; multiattribute digital goods; numerical example; online auction model; online character digital goods; online digital goods model; price performance value; seller; Computational modeling; Educational institutions; Equations; Internet; Mathematical model; Procurement; Upper bound; Competitive Analysis; Competitive Ratio; Multi-attribute; On-line Reverse Auctions;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6561208
