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Pricing and lot-sizing decisions on buy-now-and-pay-later installments through a product life cycle

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  • Feng, Lin
  • Teng, Jinn-Tsair
  • Zhou, Fangting

Abstract

Buy-Now-Pay-Later (BNPL) service is one of the fastest-growing segments of financial technology in 2021. The BNPL program is a type of short-term finance that allows consumers to make purchases and pay for them interest-free over a predetermined brief period of time, usually weeks or months. In general, BNPL payment is instant-approval and no-credit-check right at checkout. As a result, BNPL payment is appealing to young adults who have existing student loans and cannot access credit. In this paper, we develop a brand-new model interfaced with finance, marketing, and operations in which a young store owner orders a product, receives a BNPL program at checkout with a good-faith down payment, and then pays off the remainder in interest-free installments. The store owner sells the product to consumers with price- and timing-dependent demand. The objective for the store owner is to determine an optimal selling price and replenishment time simultaneously to maximize total profit. We then derive the optimal solution and characterize its properties based on theoretical results. Furthermore, we present three examples and find that the optimal price moving through its life cycle coincides with price skimming. Finally, we perform a sensitivity analysis to gain managerial insights. For instance, an increase in fraction of installments or initial demand significantly raises total profit and order quantity meanwhile tremendously reduces selling price and cycle time. Also, an increase in demand slope or return rate on investment compels the store owner substantially to increase the unit price, cycle time, order quantity, and total profit.

Suggested Citation

  • Feng, Lin & Teng, Jinn-Tsair & Zhou, Fangting, 2023. "Pricing and lot-sizing decisions on buy-now-and-pay-later installments through a product life cycle," European Journal of Operational Research, Elsevier, vol. 306(2), pages 754-763.
  • Handle: RePEc:eee:ejores:v:306:y:2023:i:2:p:754-763
    DOI: 10.1016/j.ejor.2022.08.010
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    References listed on IDEAS

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    1. Tiwari, Sunil & Cárdenas-Barrón, Leopoldo Eduardo & Goh, Mark & Shaikh, Ali Akbar, 2018. "Joint pricing and inventory model for deteriorating items with expiration dates and partial backlogging under two-level partial trade credits in supply chain," International Journal of Production Economics, Elsevier, vol. 200(C), pages 16-36.
    2. Feng, Lin & Chan, Ya-Lan, 2019. "Joint pricing and production decisions for new products with learning curve effects under upstream and downstream trade credits," European Journal of Operational Research, Elsevier, vol. 272(3), pages 905-913.
    3. Zhao, Ju & Zhou, Yong-Wu & Cao, Zong-Hong & Min, Jie, 2020. "The shelf space and pricing strategies for a retailer-dominated supply chain with consignment based revenue sharing contracts," European Journal of Operational Research, Elsevier, vol. 280(3), pages 926-939.
    4. Li, Ruihai & Yang, Hui-Ling & Shi, Yan & Teng, Jinn-Tsair & Lai, Kuei-Kuei, 2021. "EOQ-based pricing and customer credit decisions under general supplier payments," European Journal of Operational Research, Elsevier, vol. 289(2), pages 652-665.
    5. Li, Ruihai & Teng, Jinn-Tsair, 2018. "Pricing and lot-sizing decisions for perishable goods when demand depends on selling price, reference price, product freshness, and displayed stocks," European Journal of Operational Research, Elsevier, vol. 270(3), pages 1099-1108.
    6. Wu, Jiang & Chang, Chun-Tao & Teng, Jinn-Tsair & Lai, Kuei-Kuei, 2017. "Optimal order quantity and selling price over a product life cycle with deterioration rate linked to expiration date," International Journal of Production Economics, Elsevier, vol. 193(C), pages 343-351.
    7. Li, Mengmeng & Mizuno, Shinji, 2022. "Dynamic pricing and inventory management of a dual-channel supply chain under different power structures," European Journal of Operational Research, Elsevier, vol. 303(1), pages 273-285.
    8. Su, Rung-Hung & Weng, Ming-Wei & Yang, Chih-Te, 2021. "Effects of corporate social responsibility activities in a two-stage assembly production system with multiple components and imperfect processes," European Journal of Operational Research, Elsevier, vol. 293(2), pages 469-480.
    9. Dye, Chung-Yuan & Yang, Chih-Te, 2015. "Sustainable trade credit and replenishment decisions with credit-linked demand under carbon emission constraints," European Journal of Operational Research, Elsevier, vol. 244(1), pages 187-200.
    10. Chang, Chun-Tao & Ouyang, Liang-Yuh & Teng, Jinn-Tsair & Lai, Kuei-Kuei & Cárdenas-Barrón, Leopoldo Eduardo, 2019. "Manufacturer's pricing and lot-sizing decisions for perishable goods under various payment terms by a discounted cash flow analysis," International Journal of Production Economics, Elsevier, vol. 218(C), pages 83-95.
    11. Wang, Chuanxu & Huang, Rongbing & Wei, Qianli, 2015. "Integrated pricing and lot-sizing decision in a two-echelon supply chain with a finite production rate," International Journal of Production Economics, Elsevier, vol. 161(C), pages 44-53.
    12. Urban, Timothy L. & Baker, R. C., 1997. "Optimal ordering and pricing policies in a single-period environment with multivariate demand and markdowns," European Journal of Operational Research, Elsevier, vol. 103(3), pages 573-583, December.
    13. Yan, Xiaoming & Zhao, Wenhan & Yu, Yugang, 2022. "Optimal product line design with reference price effects," European Journal of Operational Research, Elsevier, vol. 302(3), pages 1045-1062.
    14. Hsieh, Tsu-Pang & Dye, Chung-Yuan, 2017. "Optimal dynamic pricing for deteriorating items with reference price effects when inventories stimulate demand," European Journal of Operational Research, Elsevier, vol. 262(1), pages 136-150.
    15. Feng, Lin & Chan, Ya-Lan & Cárdenas-Barrón, Leopoldo Eduardo, 2017. "Pricing and lot-sizing polices for perishable goods when the demand depends on selling price, displayed stocks, and expiration date," International Journal of Production Economics, Elsevier, vol. 185(C), pages 11-20.
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    1. Ghiami, Yousef, 2023. "An analysis on production and inventory models with discounted cash-flows," Omega, Elsevier, vol. 117(C).

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