Threshold Effects in Online Group Buying

Jiahua Wu, M. Shi, Ming Hu
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引用次数: 74

Abstract

This paper studies two types of threshold-induced effects: a surge of new sign-ups around the time when the thresholds of group-buying deals are reached, and a stronger positive relation between the number of new sign-ups and the cumulative number of sign-ups before the thresholds are reached than afterward. This empirical study uses a data set that records the intertemporal cumulative number of sign-ups for group-buying deals in 86 city markets covered by Groupon, during a period of 71 days when Groupon predominantly used "a deal a day" format for each local market and posted the number of sign-ups in real time. We find that the first type of threshold effect is significant in all product categories and in all markets. The second type of threshold effect varies across product categories and markets. Our results underscore the importance of considering product and market characteristics in threshold design decisions for online group buying. Data, as supplemental material, are available at http://dx.doi.org/10.1287/mnsc.2014.2015 . This paper was accepted by Pradeep Chintagunta, marketing.
网络团购的门槛效应
本文研究了两种阈值诱导效应:在团购交易达到阈值前后,新注册人数激增;在达到阈值之前,新注册人数与累计注册人数之间的正相关关系强于达到阈值之后。这项实证研究使用了一组数据集,记录了Groupon覆盖的86个城市市场团购交易的跨期累积注册数量,在71天的时间里,Groupon在每个当地市场主要采用“每天一笔交易”的格式,并实时发布注册数量。我们发现,第一类门槛效应在所有产品类别和所有市场中都是显著的。第二种阈值效应因产品类别和市场而异。我们的研究结果强调了在在线团购的门槛设计决策中考虑产品和市场特征的重要性。作为补充资料的数据可在http://dx.doi.org/10.1287/mnsc.2014.2015上获得。这篇论文被市场部的Pradeep Chintagunta接受。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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