Rebate strategy to stimulate online customer reviews

Yang, Liu; Dong, Shaozeng

doi:10.1016/j.ijpe.2018.07.032

Cited by 45 publications

(21 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this section, to analyze the decision behavior under the cases of the response and non‐response to online comments and well understand the impacts of response strategy, we will discuss and analyze the relationships between the product price, profits, and the product–demand mismatch and the consumers' preference utility of online comments. Similar with Liu et al (2020) and Yang and Dong (2018), we take c = 0.1, ω 1 = 0.6, and ω 2 = 0.2.…”

Section: Numerical Analysismentioning

confidence: 99%

“…According to Yang and Dong (2018), we assume that the total market size is 1, and each consumer will buy at most one product in the two stages. Consumer who haven't bought products in the first stage will read the online comments and make their purchase decision in the second stage.…”

Section: Some Basic Modelsmentioning

confidence: 99%

“…But purchase of substitutes, in turn, leads to more product returns (Sun et al, 2020) If online comments reduce product uncertainties, retailers' return probability can be accordingly reduced (Sahoo et al, 2018). For consumers who participate in providing comments only in two extreme cases, retailers can use external incentives to stimulate consumers to make online comments (Warut et al, 2019;Yang & Dong, 2018). When the manager responds appropriately to online consumer comments, he/she can help potential consumers make their purchase decisions.…”

Section: Related Literaturementioning

confidence: 99%

See 2 more Smart Citations

Influence mechanism of online consumer comments on e‐retailer

2021

View full text Add to dashboard Cite

Online consumer comments can reduce the uncertainty of consumers' purchasing behaviors and provide much more important reference for consumers to make purchasing decisions, and some online consumer comments have the positive and negative effects, and then some online retailers often take different actions to respond to consumers' online comments. To describe and analyze the influence mechanism of online comments on the consumers and retailers, we establish a two‐stage theoretical model by introducing product–demand mismatch and exploit it to analyze the impact of different quality online comments on online retailer and discuss the online retailer's decisions.

show abstract

Section: Numerical Analysismentioning

confidence: 99%

Section: Some Basic Modelsmentioning

confidence: 99%

Section: Related Literaturementioning

confidence: 99%

See 1 more Smart Citation

Influence mechanism of online consumer comments on e‐retailer

2021

View full text Add to dashboard Cite

show abstract

“…Abad [1] extended the work of Wee [42] by assuming a large size and price under perishability and backordering. However, several producers have also begun to provide storage rebates (Yang and Dong [45] , Hu et al [12], Cao et al [6]).…”

mentioning

confidence: 99%

“…It discusses the uncertain nature of demand, where the discount and price are not inclusive for the retailer. Khouja [15] formulated an EOQ model and solved for the optimal price, optimal order quantity, and rebate face value for a price and rebate sensitive demand while Yang and Dong [45] developed a logical EOQ model for online retailers' product pricing and rebate strategies with a two-period setting. They proved that the retailer's rebate decisions and pricing decisions are very important in a manufacturing system.…”

mentioning

confidence: 99%

The effect of rebate value and selling price-dependent demand for a four-level production manufacturing system

Mishra

Mashud

Roy

et al. 2023

JIMO

View full text Add to dashboard Cite

<p style='text-indent:20px;'>Price rebate is only permitted when purchases made by the customer exceed a predefined limit and they later buy other items from the purchaser. There are various forms of rebate used by production companies. This study provides a deteriorating inventory model of four-level production rates and derives the rebate-value-based demand with the product selling price under shortages. This model gives preference to optimal replenishment time, ordering quantity, rebate value, and selling price while maximizing total profit. This model first explores and discusses the demand function, which discretely hinges on the selling price of rebate value, followed by discussions on demand based on the selling price. This study proposes a solution through unique propositions and the construction of two algorithms that are suitable for four-level production; this has not yet been explored in-depth in the literature. Illustrative examples and a sensitivity analysis demonstrate the applicability of the proposed algorithms; the customer decides to buy a product that is larger than the minimum suitable for a price rebate and the buyer can then deal with a higher price rebate. The benefit of rebate marketing helps production companies increases conversion rates and encourages customers to purchase goods. This model demonstrates that proposing rebates can consume substantial pricing and inventory inferences and can result in a substantial increase in profit.</p>

show abstract

Consumer rebates from e‐commerce platforms and multichannel management of third‐party sellers

Monden

Zennyo

2022

Manage Decis Econ

View full text Add to dashboard Cite

The examined model includes a supplier selling goods through an online platform and an offline retailer. The examination explores how the platform's rebates to consumers alter the supplier's multichannel management and affect the retailer and consumers. A key model point is whether rebates make the supplier emphasize online or offline sales, which depends in turn on whether the platform or the supplier bears the rebate costs. Results indicate that greater rebates issued at the supplier's expense lead to emphasis on offline sales, for which double marginalization occurs. Such sales benefit the retailer, but hurt consumer surplus and social welfare.

show abstract

Rebate strategy to stimulate online customer reviews

Cited by 45 publications

References 26 publications

Influence mechanism of online consumer comments on e‐retailer

Influence mechanism of online consumer comments on e‐retailer

The effect of rebate value and selling price-dependent demand for a four-level production manufacturing system

Consumer rebates from e‐commerce platforms and multichannel management of third‐party sellers

Contact Info

Product

Resources

About