2021
DOI: 10.1016/j.omega.2020.102330
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Daily-deal market with consumer retention: Price discrimination or quality differentiation

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Cited by 11 publications
(6 citation statements)
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“…Diverging from discriminatory pricing, Li (2021) studies another discrimination strategy called behavior‐based quality discrimination, revealing that the impact of quality discrimination surpasses that of behavior‐based price discrimination. Tang et al (2021) delve into two strategic marketing models, emphasizing the retention behavior of new consumers and concluded that the seller's optimal strategy shifts from quality differentiation to price discrimination as the profitability of consumer retention increases. Lin and Januardi (2023) delve into quality‐based pricing decisions made by a supplier and a retailer within vertical Nash and Stackelberg games.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Diverging from discriminatory pricing, Li (2021) studies another discrimination strategy called behavior‐based quality discrimination, revealing that the impact of quality discrimination surpasses that of behavior‐based price discrimination. Tang et al (2021) delve into two strategic marketing models, emphasizing the retention behavior of new consumers and concluded that the seller's optimal strategy shifts from quality differentiation to price discrimination as the profitability of consumer retention increases. Lin and Januardi (2023) delve into quality‐based pricing decisions made by a supplier and a retailer within vertical Nash and Stackelberg games.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The target of “big data killing” of e-commerce companies is focused on loyal consumers, which has been confirmed by many scholars. For example, Tang et al [ 24 ] found in the research on the group-buying market that with the improvement of consumer retention rate, the best strategy of sellers is changed from quality difference to price discrimination. Chandra and Lederman [ 25 ] argued that if consumers have differences in potential willingness to pay and brand loyalty, e-commerce companies may increase price differences among some consumers while reducing price differences among the other consumers.…”
Section: Related Literaturementioning
confidence: 99%
“…Chandra and Lederman [ 25 ] argued that if consumers have differences in potential willingness to pay and brand loyalty, e-commerce companies may increase price differences among some consumers while reducing price differences among the other consumers. Although differential pricing is an important way for e-commerce companies to obtain profits [ 26 ], its focus on loyal consumers is contrary to the principle of fair pricing [ 24 ], which will reduce consumer satisfaction and create distrust [ 27 , 28 ].…”
Section: Related Literaturementioning
confidence: 99%
“…Such demand deduction is quite common in studies of both marketing and operation management (e.g., Chiang et al, 2003;Zeithammer and Thomadsen, 2013;Tang et al, 2020;Zhang et al, 2021). The profits of the manufacturer and retailer are given by…”
Section: Mode N: No Ppsmentioning
confidence: 99%
“…Therefore, the demand for product h$h$ is DhN=1phpl1s$D_h^N = 1 - \frac{{{p_h} - {p_l}}}{{1 - s}}$, and the demand for product l$l$ is DlN=phpl1s0.33empls$D_l^N = \frac{{{p_h} - {p_l}}}{{1 - s}}\ - \frac{{{p_l}}}{s}$. Such demand deduction is quite common in studies of both marketing and operation management (e.g., Chiang et al., 2003; Zeithammer and Thomadsen, 2013; Tang et al., 2020; Zhang et al., 2021). The profits of the manufacturer and retailer are given by πmN=0.33em()whcDhN+wlDlN.\begin{equation}\pi _m^N = {\rm{\ }}\left( {{w_h} - c} \right)D_h^N + {w_l}D_l^N.\end{equation} πrN=()phwh0.33emDhN+()plwlDlN.\begin{equation}\pi _r^N = \left( {{p_h} - {w_h}} \right)\ D_h^N + \left( {{p_l} - {w_l}} \right)D_l^N.\end{equation}Proposition In mode N, the optimal wholesale prices of products h$h$ and l$l$ are whN=1+c2$w_h^{N{\rm{*}}} = \frac{{1 + c}}{2}$…”
Section: The Modelmentioning
confidence: 99%