IS Atlas
ms·2014년 12월 22일

Threshold Effects in Online Group Buying

Jiahua Wu, Mengze Shi, Ming Hu

Management Science

82
피인용
16.1
FWCI
23
IS/마케팅/OM 탑저널 피인용
19
IS/마케팅/OM 탑저널 참고문헌
01Abstract

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.

02연구 흐름

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03비슷한 논문

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04이후 연구

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05선행 연구

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06서지 정보