Decision and coordination analysis of extended warranty service in a remanufacturing closed-loop supply chain with dual price sensitivity under different channel power structures

Zhu, Xiaodong; Ding, Lian; Guo, Yajie; Zhu, Huiting

doi:10.1051/ro/2022046

Cited by 23 publications

(8 citation statements)

References 54 publications

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“…Findings from the research of Arti, et al (2022) also show that before consumers make purchase decision, consumers first compare several alternative choices. This is also in line with the research findings of Zhu et al (2022) who found that price has a positive effect on consumer purchase decision. Several other studies have determined that prices have a positive effect on consumer purchase decision, including: Henao, et all (2022); Pradana, et all (2022).…”

Section: Purchase Decisionsupporting

confidence: 92%

The Effect of Price and Promotion on Purchase Decision at Bakpia Kurnia Sari

2022

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This study aims to examine the effect of price and promotion on purchase decision at Bakpia Kurnia Sari. The respondents in this study were consumers in Yogyakarta. The number of respondents in this study were 100 respondents. Sampling was done by purposive sampling technique. This study uses multiple linear regression analysis technique with SPSS as an analytical tool. The results of the multiple linear regression test show that: 1) Price partially has a significant effect on purchase decision at Bakpia Kurnia Sari. 2) Promotion partially has a significant effect on purchase decision at Bakpia Kurnia Sari.

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Section: Purchase Decisionsupporting

confidence: 92%

The Effect of Price and Promotion on Purchase Decision at Bakpia Kurnia Sari

2022

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Section: Resultsmentioning

confidence: 64%

“…The highly significant quadratic price effects found in the multilogit model showing that the concern of the authors is well justified. The discovery contradicts what was typically specified in the pricing analytical model (Zhou and Duan, 2022;Zhu et al, 2022) where the online and offline prices are assumed to affect the demand linearly. It also contrasts the findings of empirical studies (Hu and Tracogna, 2020;Lee et al, 2020), where the linear relationship is usually used to describe the relationship between price and the WTP (or channel preferences).…”

Section: Description Of the Numerical Examplementioning

confidence: 69%

Willingness-to-pay experimental model for Stackelberg dual channel pricing decision

Lin

Januardi

2022

IJRDM

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PurposeThis study proposes and demonstrates a novel approach to analyzing customer channel preferences and willingness-to-pay (WTP) in the dual sales channel (DSC) system involving direct online channels and conventional offline retailers, and to how the pricing decisions are made under specific game competition.Design/methodology/approachQuestionnaire survey based on central composite experiment design was utilized to obtain primary data. The model for customer channel preferences and WTP was then built by using multinomial logistic regression. The propensity of a customer to make purchases in either channel estimated by using the logit model was inserted in the bilevel programming model to formulate and solve for the Stackelberg competition where the conventional retailer acted as a leader.FindingsThe study found that channel prices have nonlinear impacts on WTP and channel preference. The empirical results complement the mathematical formulation well where high-order own-price and cross-price effects on channel selection are generally not analytical tractable. Under the Stackelberg competition, the traditional retailer (as the leader) still achieves higher profits than the online facility.Practical implicationsThe proposed framework provides an empirical approach that can easily address the competition model in the sales channel when complicated own-price or cross-price effects are present.Originality/valueThe present work provides a novel approach to analyze customer preference and WTP of the DSC systems. This alternative method simplifies the procedure for investigating and estimating price sensitivity, especially when the online and offline prices affect customer WTP and channel preferences nonlinearly. This model is also utilized in the game competition to facilitate data-driven price decision making to better formulate and understand real-world DSC problems.

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“…Li et al (2021a, b) explored the effect of channel power structure and government subsidy scheme on the supply chain profit and the innovation investment. Zhu et al (2022) explained the impacts of power structure, remanufacturing cost saving and dual price sensitivity on a closed-loop supply chain, where the manufacturer is responsible for collecting used products and providing extended warranty service. Wu et al (2022) discussed the strategic interaction of the manufacturer's credit payment services and the channel power structure on the dual-channel supply chain.…”

Section: Power Structure In Supply Chainsmentioning

confidence: 99%

Platform service decision and selling mode selection under different power structures

Wan,

Fan

2024

IMDS

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PurposeThis paper forms an e-commerce supply chain that include a manufacturer providing products and an online platform providing service. The reselling platform mode and the agent platform mode are considered through an exploration of the manufacturer Stackelberg (MS), vertical Nash (VN), platform Stackelberg (PS) power structures. The purpose of this paper is to explore the pricing and platform service decisions under different platform selling modes and channel power structures.Design/methodology/approachBased on the game theory models, this paper investigates the interaction between the manufacturer and the online platform under four different scenarios. The optimal solutions of four models are provided. Through comparison analyses, this paper evaluates the impacts of platform selling mode and channel power structure on the pricing and platform service decisions and the members’ profits.FindingsThe manufacturer prefers the MS power structure in any platform mode. The online platform prefers the PS (MS) power structure under a low (high) service cost efficiency in the reselling platform mode, while prefers the PS and VN power structures in the agent platform mode. Moreover, the manufacturer prefers the agent (reselling) platform mode under a low (high) service cost efficiency in any power structure. The online platform prefers the reselling platform mode in the MS and PS power structures, while prefers the reselling (agent) platform mode under a low (high) service cost efficiency in the VN power structures.Originality/valueThe analysis result provides important managerial implications that help the supply chain members develop a better understanding of the selection of the platform selling mode and the effect of the channel power structure in the presence of platform service.

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Decision and coordination analysis of extended warranty service in a remanufacturing closed-loop supply chain with dual price sensitivity under different channel power structures

Cited by 23 publications

References 54 publications

The Effect of Price and Promotion on Purchase Decision at Bakpia Kurnia Sari

The Effect of Price and Promotion on Purchase Decision at Bakpia Kurnia Sari

Willingness-to-pay experimental model for Stackelberg dual channel pricing decision

Platform service decision and selling mode selection under different power structures

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