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

fYear

2013

fDate

25-27 May 2013

Firstpage

1714

Lastpage

1717

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2013 25th Chinese

Conference_Location

Guiyang

Print_ISBN

978-1-4673-5533-9

Type

conf

DOI

10.1109/CCDC.2013.6561208

Filename

6561208