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Optimal decisions on group buying option with a posted retail price and heterogeneous demand

  • Guanqun Ni
  • , Li Luo
  • , Yinfeng Xu
  • , Jiuping Xu
  • , Yucheng Dong
  • Fujian Agriculture and Forestry University
  • Sichuan University

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

Abstract

Group buying is now a popular business mechanism whereby customers are encouraged to bargain together. Today's group buying usually adopts a fixed group price rather than using a dynamic pricing mechanism and many retailers sell products using both a group buying and a posted price. Therefore, there are usually different shopping channels as the market can be divided into two segments, a group buying segment and an individual segment, according to consumers' preference. However, sometimes the group buying option can decrease total revenue by influencing the individual market segment. Consequently, the seller has to decide: (1) whether to offer a group buying option and (2) if offering such an option, which combination is the best? In this paper, we classify customers into collectivist customers and individualistic customers depending on their different valuations of the time and energy spent in group buying communication and study the optimal pricing strategy according to actual market information. Although collectivist customers prefer to participate in group buying, our results show that this is true only in certain conditions in an individualistic dominant market where the potential demand of the individualistic customers is greater than that of the collectivist customers or the price coefficient of the individualistic customers is less than that of the collectivist customers. In these circumstances, the seller should provide a posted retail price together with a group buying option which can assist in customer discrimination, but in other conditions, the seller should only provide a posted retail price. Additionally, we have extended the two customer classifications to multiple classifications in this paper.

Original languageEnglish
Pages (from-to)23-33
Number of pages11
JournalElectronic Commerce Research and Applications
Volume14
Issue number1
DOIs
StatePublished - 1 Jan 2015
Externally publishedYes

Keywords

  • Group buying
  • Heterogeneous demand
  • Pricing
  • Revenue maximization

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