A pricing model for group-buying auction based on customers' waiting-time

被引:11
|
作者
Vaghefi, Mahyar Sharif [1 ]
Vaghefi, Mahrad Sharif [2 ]
Beheshti, Neshat [3 ]
机构
[1] Univ Wisconsin, Sheldon B Lubar Sch Business, Milwaukee, WI 53201 USA
[2] Sharif Univ, Sch Management & Econ, Tehran, Iran
[3] Univ Wisconsin, Dept Engn & Math Sci, Milwaukee, WI 53201 USA
关键词
Group-buying; Dynamic pricing; Auction; Duopolistic market; E-commerce; COMMERCE;
D O I
10.1007/s11002-013-9262-1
中图分类号
F [经济];
学科分类号
02 ;
摘要
Group-buying auction is a new business model in e-commerce. This auction has its own characteristics that make it distinct from other types of auctions. Customers' waiting time is an inherent attribute for group-buying auction. However, this attribute is rarely considered in the previous pricing models. Therefore, finding an appropriate pricing model for it seems to be of great importance. In this paper, with the help of game-theory concepts and according to each customer's waiting time in group-buying auction, a pricing model for a duopolistic market is proposed which takes into account both customers' and sellers' satisfaction. The pricing model shows that customers' awareness of Internet group-buying auction is so important and if it is lower than a boundary value, then the group-buying seller could not compete in the market. The model emphasizes on economies of scale as a significant factor in the success of the auction. The model also stresses the importance of gaining customers with lower product value in the group-buying auction.
引用
收藏
页码:425 / 434
页数:10
相关论文
共 50 条
  • [41] The Evaluation Model of Transaction Trust in online Group-buying Based on Transaction History Information
    Zou, Yan
    Chen, Weijie
    Li, Shan
    Si, Yiyang
    PROCEEDINGS OF THE 2016 JOINT INTERNATIONAL INFORMATION TECHNOLOGY, MECHANICAL AND ELECTRONIC ENGINEERING, 2016, 59 : 68 - 73
  • [42] Evaluation of service quality in facebook-based group-buying
    Hsu, Shih-Wei
    Qing, Fang
    Wang, Chien-Chih
    Hsieh, Hsin-Ling
    ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, 2018, 28 : 30 - 36
  • [43] Analysis of pricing strategies for community-based group buying: The impact of competition and waiting cost
    Li, Yung-Ming
    Jhang-Li, Jhih-Hua
    Hwang, Ting-Kai
    Chen, Ping-Wen
    INFORMATION SYSTEMS FRONTIERS, 2012, 14 (03) : 633 - 645
  • [44] Analysis of pricing strategies for community-based group buying: The impact of competition and waiting cost
    Yung-Ming Li
    Jhih-Hua Jhang-Li
    Ting-Kai Hwang
    Ping-Wen Chen
    Information Systems Frontiers, 2012, 14 : 633 - 645
  • [45] Online dynamic group-buying community analysis based on high frequency time series simulation
    Qing Zhu
    Renxian Zuo
    Shan Liu
    Fan Zhang
    Electronic Commerce Research, 2020, 20 : 81 - 118
  • [46] Online dynamic group-buying community analysis based on high frequency time series simulation
    Zhu, Qing
    Zuo, Renxian
    Liu, Shan
    Zhang, Fan
    ELECTRONIC COMMERCE RESEARCH, 2020, 20 (01) : 81 - 118
  • [47] Understanding group-buying websites continuance An extension of expectation confirmation model
    Zhang, Hong
    Lu, Yaobin
    Gupta, Sumeet
    Gao, Ping
    INTERNET RESEARCH, 2015, 25 (05) : 767 - 793
  • [48] Joint decision of pricing and advertising investment for online group-buying under intersecting demand regimes
    Qian, Dake
    Su, Hailin
    Journal of Applied Sciences, 2013, 13 (22) : 4949 - 4954
  • [49] Poisson-process generalization for the trading waiting-time distribution in a double-auction mechanism
    Cincotti, S
    Ponta, L
    Raberto, M
    Scalas, E
    NOISE AND FLUCTUATIONS IN ECONOPHYSICS AND FINANCE, 2005, 5848 : 215 - 224
  • [50] Which Promotion Time Frame Works Best for Restaurant Group-buying Deals?
    Lo, Ada S.
    Wu, Joey
    Law, Rob
    Au, Norman
    TOURISM RECREATION RESEARCH, 2014, 39 (02) : 203 - 219