Groupon and Groupon Now : participating firm’s profitability analysis
The business model of Groupon has been categorized by many to be a case of daily deals or discount offerings to consumers. It is static (not responsive to business fluctuations and demands) and operates in batch mode (period-based availability). “Groupon Now” was proposed to be distinct from Groupon...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Language: | English |
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2020
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| Online Access: | https://hdl.handle.net/10356/143180 |
| _version_ | 1811688049018404864 |
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| author | Ong, Jenn-Bing Ng, Wee Keong Vorobev, Artem Ho, Thanh-Nghia |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Ong, Jenn-Bing Ng, Wee Keong Vorobev, Artem Ho, Thanh-Nghia |
| author_sort | Ong, Jenn-Bing |
| collection | NTU |
| description | The business model of Groupon has been categorized by many to be a case of daily deals or discount offerings to consumers. It is static (not responsive to business fluctuations and demands) and operates in batch mode (period-based availability). “Groupon Now” was proposed to be distinct from Groupon in that Groupon Now is dynamic and real-time. Groupon Now was conceived to be more responsive to business fluctuations—firms may choose to offer deals during business downtime and likewise withhold deals during business uptime. In this study, a time-continuum model for profitability analysis based on the two-period Groupon model developed by Edelman (Mark Lett 15, 2014) is introduced to compare the profitability between Groupon, Groupon Now, and firm normal operations without offering discount vouchers. The numerical experiments show consistent results that Groupon Now is only marginally more profitable than Groupon, but both are superior to the firm normal operations without offering any discount vouchers. The latter analysis is especially true if there is a high consumer demand to fulfill and the firm’s product or service is a popular consumers’ choice. Furthermore, the numerical experiments also suggest that firms offer moderate discount rates (≳50%) in large portion when their products or services are less well-known or less popular; and use moderate discount rates, deep discount rates (<50%), or both for price discrimination when their products or services are well-received by consumers. |
| first_indexed | 2024-10-01T05:26:01Z |
| format | Journal Article |
| id | ntu-10356/143180 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:26:01Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1431802020-08-11T06:44:00Z Groupon and Groupon Now : participating firm’s profitability analysis Ong, Jenn-Bing Ng, Wee Keong Vorobev, Artem Ho, Thanh-Nghia School of Computer Science and Engineering Engineering::Computer science and engineering Voucher Discounts Deep Discounts The business model of Groupon has been categorized by many to be a case of daily deals or discount offerings to consumers. It is static (not responsive to business fluctuations and demands) and operates in batch mode (period-based availability). “Groupon Now” was proposed to be distinct from Groupon in that Groupon Now is dynamic and real-time. Groupon Now was conceived to be more responsive to business fluctuations—firms may choose to offer deals during business downtime and likewise withhold deals during business uptime. In this study, a time-continuum model for profitability analysis based on the two-period Groupon model developed by Edelman (Mark Lett 15, 2014) is introduced to compare the profitability between Groupon, Groupon Now, and firm normal operations without offering discount vouchers. The numerical experiments show consistent results that Groupon Now is only marginally more profitable than Groupon, but both are superior to the firm normal operations without offering any discount vouchers. The latter analysis is especially true if there is a high consumer demand to fulfill and the firm’s product or service is a popular consumers’ choice. Furthermore, the numerical experiments also suggest that firms offer moderate discount rates (≳50%) in large portion when their products or services are less well-known or less popular; and use moderate discount rates, deep discount rates (<50%), or both for price discrimination when their products or services are well-received by consumers. Accepted version 2020-08-11T06:44:00Z 2020-08-11T06:44:00Z 2017 Journal Article Ong, J.-B., Ng, W. K., Vorobev, A., & Ho, T.-N. (2019). Groupon and Groupon now : participating firm’s profitability analysis. Computational Economics, 53(2), 617-632. doi:10.1007/s10614-017-9736-y 1572-9974 https://hdl.handle.net/10356/143180 10.1007/s10614-017-9736-y 2-s2.0-85029896405 2 53 617 632 en Computational Economics © 2019 Springer Science+Business Media. This is a post-peer-review, pre-copyedit version of an article published in Computational Economics. The final authenticated version is available online at: http://dx.doi.org/10.1007/s10614-017-9736-y application/pdf |
| spellingShingle | Engineering::Computer science and engineering Voucher Discounts Deep Discounts Ong, Jenn-Bing Ng, Wee Keong Vorobev, Artem Ho, Thanh-Nghia Groupon and Groupon Now : participating firm’s profitability analysis |
| title | Groupon and Groupon Now : participating firm’s profitability analysis |
| title_full | Groupon and Groupon Now : participating firm’s profitability analysis |
| title_fullStr | Groupon and Groupon Now : participating firm’s profitability analysis |
| title_full_unstemmed | Groupon and Groupon Now : participating firm’s profitability analysis |
| title_short | Groupon and Groupon Now : participating firm’s profitability analysis |
| title_sort | groupon and groupon now participating firm s profitability analysis |
| topic | Engineering::Computer science and engineering Voucher Discounts Deep Discounts |
| url | https://hdl.handle.net/10356/143180 |
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