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Modeling buyer and seller interactions in online auction markets.

机译：建模在线拍卖市场中的买卖双方互动。

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摘要

With the rapid development of information technology and electronic commerce, online auction markets have recently emerged as a hybrid form of market, different from both traditional mass markets and single item auctions. Research in this area is still at an early stage. Most researchers have so far focused mainly on factors internal to a single auction, ignoring dynamic interactions between auctions within a market of multiple competing auctions of similar products. Moreover, principles in economics and auction theory may not apply to online auction markets.;Finally, this study identifies certain hidden patterns and trends that can potentially affect the results of research in online auction markets. First is the effect of the way time periods are defined. Second is the discovery of product lifecycles in precisely defined product markets. The results imply that the online auction market is more complex that generally perceived.;This study develops a conceptual model of online auction markets that captures dynamic interactions between buyers and sellers, treating the entire market as the unit of analysis. Utilizing data collected from over 3000 online auctions, regression analysis is performed to test 4 hypotheses. As predicted by our hypotheses, there is a strong indication that the number of bidders positively affects price, and that end price positively affects the number of items sold in the online auction market. There is a weak indication that the number of items sold negatively affects price. Contrary to our hypothesis, price had a positive effect on the number of bidders. The latter result led to further analysis of the effects of bidding price and number of items sold. The difference between average ending price and average bid price in the market was found to have a positive effect on the number of bidders. The results confirm the effects of external factors on bidders, sellers and price variability.
机译：随着信息技术和电子商务的飞速发展，在线拍卖市场最近已成为一种混合市场形式，与传统的大众市场和单项拍卖不同。该领域的研究仍处于早期阶段。迄今为止，大多数研究人员主要集中在单个拍卖的内部因素上，而忽略了相似产品的多个竞争拍卖市场中拍卖之间的动态交互。此外，经济学和拍卖理论的原理可能不适用于在线拍卖市场。最后，本研究确定了某些可能会影响在线拍卖市场研究结果的隐藏模式和趋势。首先是时间段定义方式的影响。其次是在精确定义的产品市场中发现产品生命周期。结果表明，在线拍卖市场比通常认为的更为复杂。；本研究建立了在线拍卖市场的概念模型，该模型捕获了买卖双方之间的动态互动，将整个市场视为分析单位。利用从3000多个在线拍卖中收集的数据，进行回归分析以检验4种假设。正如我们的假设所预测的那样，有很强的迹象表明，竞标者的数量对价格有正面影响，而最终价格对在线拍卖市场上出售的物品数量有正面影响。没有迹象表明售出的商品数量会对价格产生负面影响。与我们的假设相反，价格对投标人数量产生积极影响。后一个结果导致进一步分析了投标价格和售出物品数量的影响。发现市场中平均最终价格与平均竞标价格之间的差异对竞标者数量产生积极影响。结果证实了外部因素对投标人，卖方和价格波动的影响。

著录项

  • 作者

    Chau, Philip Kin Man.;

  • 作者单位

    University of Waterloo (Canada).;

  • 授予单位 University of Waterloo (Canada).;
  • 学科 Operations research.
  • 学位 M.A.Sc.
  • 年度 2006
  • 页码 125 p.
  • 总页数 125
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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