Joint Decision on Pricing and Ordering for Omnichannel BOPS Retailers: Considering Online Returns
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Cited by:
- Yande Gong & Yidan Ma & Zhe Wang, 2022. "Omnichannel Retail Strategy Considering Cost-Sharing and Consumer Heterogeneity under Different Power Structures," Mathematics, MDPI, vol. 10(21), pages 1-32, October.
- Yi He & Qianqian Xu & Da Zhao, 2020. "Impacts of the BOPS Option on Sustainable Retailing," Sustainability, MDPI, vol. 12(20), pages 1-16, October.
- Qiu, Ruozhen & Ma, Lin & Sun, Minghe, 2023. "A robust omnichannel pricing and ordering optimization approach with return policies based on data-driven support vector clustering," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1337-1354.
- Shujun Yang & Ivan Kai Wai Lai & Huajun Tang, 2022. "Pricing and Contract Coordination of BOPS Supply Chain Considering Product Return Risk," Sustainability, MDPI, vol. 14(9), pages 1-21, April.
- Han Wang & Chuan Pang & Huajun Tang, 2023. "Pricing and Carbon-Emission-Reduction Decisions under the BOPS Mode with Low-Carbon Preference from Customers," Mathematics, MDPI, vol. 11(12), pages 1-26, June.
- Muñoz-Villamizar, Andrés & Piatti, Matias & MejÃa-Argueta, Christopher & Pirabe, Luis Felipe & Namdar, Jafar & Gomez, Juan Felipe, 2024. "Navigating retail inflation in Brazil: A machine learning and web scraping approach to the basic food basket," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
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Keywords
BOPS channel; pricing; ordering; consumer surplus; return rate;All these keywords.
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