Designing buy-online-and-pick-up-in-store (BOPS) contract of dual-channel low-carbon supply chain considering consumers' low-carbon preference
type: Item
instance of: scholarly article
title: Designing buy-online-and-pick-up-in-store (BOPS) contract of dual-channel low-carbon supply chain considering consumers' low-carbon preference
zbMATH Open document ID: 1459.90046
DOI: 10.1155/2020/7476019
author: Yang Zhang
author: Jingyi Li
author: Bing Xu
published in: Mathematical Problems in Engineering
publication date: 2020-07-30T00:00:00Z
review text: Summary: Nowadays, buy-online-and-pick-up-in-store (BOPS) is a popular sales project to promote product sales. Implementing BOPS in the dual-channel low-carbon supply chain (DLSC) can not only improve low-carbon manufacturers' profit but also reduce energy consumption in it. This paper focuses on how to design the contract which can ensure the implementation of BOPS in the DLSC consisting of one manufacturer and one retailer considering consumers' low-carbon preference. Based on the analysis of game theory, two kinds of BOPS contract (MW contract with the dominant manufacturer making decision on wholesale price and RW contract with the dominant retailer making decision on wholesale price) with fixed compensation are designed and compared to obtain the better contract which is more effective on the implementation of BOPS. The findings show that MW contract is better than RW contract for the DLSC to implement BOPS. When consumers' low-carbon preference and BOPS preference and the anti-cross-price elasticity are high enough, the DLSC can implement BOPS under the MW contract because it has Pareto efficiency on the profit of the original DLSC. We further find the sales price is decreasing in consumers' low-carbon preference and anti-cross-price elasticity, while the wholesale price is increasing in consumers' low-carbon preference. Finally, the results are verified by numerical examples.
Mathematics Subject Classification ID: 90B06
Mathematics Subject Classification ID: 90B50
Mathematics Subject Classification ID: 90B05
Mathematics Subject Classification ID: 91B76
zbMATH DE Number: 7226159
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2020/7476019
OpenAlex ID: W3041873200
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description: scientific article; zbMATH DE number 7226159