考虑消费信贷的多产品最优免息期决策
收稿日期: 2024-07-05
修回日期: 2024-09-05
网络出版日期: 2024-12-23
基金资助
国家自然科学基金(71971200)
Optimal grace period decisions for multiple products under consumer credit
Received date: 2024-07-05
Revised date: 2024-09-05
Online published: 2024-12-23
考虑一个销售多种可替代产品并提供相应免息消费信贷服务的公司,应用随机效用理论建立多项逻辑选择模型,并将消费者对免息信贷服务的反应纳入模型,分别在线性和非线性信贷服务成本结构下得到企业的最优免息期决策。研究发现,本质上可以将多产品最优问题转化成单一变量寻根问题,降低求解难度。有趣的是,消费信贷的最优免息期并不一定随着信贷服务成本的提升而缩减,也并不一定随着顾客对信贷服务偏好度的提升而增加。数值仿真表明,利润边际越大的产品,其对应的最优免息期也越长。为每个产品都提供专属的最优免息期方案整体利润均高于统一免息期方案,尤其是当企业的销售收入利用能力不强时,前一方案下的利润提升更加显著。
张泽龙 , 言小明 . 考虑消费信贷的多产品最优免息期决策[J]. 中国科学院大学学报, 2026 , 43(4) : 453 -462 . DOI: 10.7523/j.ucas.2024.073
Consumer credit products have prevailed for a long time, allowing customers to spend first and pay later, stimulating customers to purchase products. Banks, financial service companies, and e-commerce platforms have all strategically laid out in this industry and provided corresponding online consumer credit services. To further stimulate consumption, companies will offer interest-free consumer credit services. We consider a firm that sells multiple substitutable products and provides interest-free consumer credit services and bears the service costs. We develop an MNL model and incorporate consumer responses to consumer credit services into the model, the firm’s objective is to make the optimal decisions of grace period for each product to maximize the total profit under linear and nonlinear credit service cost structures, respectively. The findings indicate that we can essentially transform the multiple products optimization problem into a single-variable root searching problem, which reduces the calculation complexity. The optimal grace period does not necessarily shrink with the increase of credit service cost and vice versa. Numerical analysis reveals that products with larger profit margins have longer optimal grace periods. We also compare the advantages and disadvantages of the two different credit options, namely, the uniform optimal grace periods for all products (Option 1) and the exclusive optimal grace period for each product (Option 2). We find that the firm’s total profit from implementing Option 2 is always larger than that from implementing Option 1, especially when the firm’s ability to utilize the sales revenue is not strong, the profit improvement under Option 2 scheme is more significant.
| [1] | Feinberg R A. Credit cards as spending facilitating stimuli: a conditioning interpretation[J]. Journal of Consumer Research, 1986, 13(3): 348-356. DOI: 10.1086/209074 . |
| [2] | Cheema A, Soman D. Malleable mental accounting: the effect of flexibility on the justification of attractive spending and consumption decisions[J]. Journal of Consumer Psychology, 2006, 16(1): 33-44. DOI: 10.1207/s15327663jcp1601_6 . |
| [3] | Thomas M, Desai K K, Seenivasan S. How credit card payments increase unhealthy food purchases: visceral regulation of vices[J]. Journal of Consumer Research, 2011, 38(1): 126-139. DOI: 10.1086/657331 . |
| [4] | Raghubir P, Srivastava J. Monopoly money: the effect of payment coupling and form on spending behavior[J]. Journal of Experimental Psychology. Applied, 2008, 14(3): 213-225. DOI: 10.1037/1076-898X.14.3.213 . |
| [5] | Prelec D, Loewenstein G. The red and the black: mental accounting of savings and debt[J]. Marketing Science, 1998, 17(1): 4-28. DOI: 10.1287/mksc.17.1.4 . |
| [6] | Thaler R H. Mental accounting matters[J]. Journal of Behavioral Decision Making, 1999, 12(3): 183-206. DOI: 10.1002/(sici)1099-0771(199909)12:3183::aid-bdm3183.0.co;2-f . |
| [7] | Soman D. The effect of payment transparency on consumption: quasi-experiments from the field[J]. Marketing Letters, 2003, 14(3): 173-183. DOI: 10.1023/A:1027444717586 . |
| [8] | Raghubir P, Srivastava J. The denomination effect[J]. Journal of Consumer Research, 2009, 36(4): 701-713. DOI:10.1086/599222 . |
| [9] | Chatterjee P, Rose R L. Do payment mechanisms change the way consumers perceive products?[J]. Journal of Consumer Research, 2012, 38(6): 1129-1139. DOI: 10.1086/661730 . |
| [10] | Soman D, Cheema A. The effect of credit on spending decisions: the role of the credit limit and credibility[J]. Marketing Science, 2002, 21(1): 32-53. DOI: 10.1287/mksc.21.1.32.155 . |
| [11] | Ranyard R, Hinkley L, Williamson J, et al. The role of mental accounting in consumer credit decision processes[J]. Journal of Economic Psychology, 2006, 27(4): 571-588. DOI: 10.1016/j.joep.2005.11.001 . |
| [12] | Li J, Song Q Y, Wu Y, et al. The effects of online consumer credit on household consumption level and structure: evidence from China[J]. Journal of Consumer Affairs, 2021, 55(4): 1614-1632. DOI: 10.1111/joca.12390 . |
| [13] | Crook J N, Edelman D B, Thomas L C. Recent developments in consumer credit risk assessment[J]. European Journal of Operational Research, 2007, 183(3): 1447-1465. DOI: 10.1016/j.ejor.2006.09.100 . |
| [14] | Kozodoi N, Jacob J, Lessmann S. Fairness in credit scoring: assessment, implementation and profit implications[J]. European Journal of Operational Research, 2022, 297(3): 1083-1094. DOI: 10.1016/j.ejor.2021.06.023 . |
| [15] | Xie J P, Wei L H, Zhu W J, et al. Platform supply chain pricing and financing: who benefits from e-commerce consumer credit?[J]. International Journal of Production Economics, 2021, 242: 108283. DOI: 10.1016/j.ijpe.2021.108283 . |
| [16] | Li Q, Zha Y, Li L Z, et al. The platform’s credit-offering strategy in the presence of integrated and independent systems[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(5): 2933-2944. DOI: 10.1109/TSMC.2021.3055836 . |
| [17] | Uncles M D. Discrete choice analysis: theory and application to travel demand[J]. Journal of the Operational Research Society, 1987, 38(4): 370-371. DOI: 10.1057/jors.1987.63 . |
| [18] | Anderson S P, de Palma A. Multiproduct firms: a nested logit approach[J]. The Journal of Industrial Economics, 1992, 40(3): 261-276. DOI: 10.2307/2950539 . |
| [19] | Leake C. Discrete choice theory of product differentiation[J]. Journal of the Operational Research Society, 1995, 46(4): 543. DOI: 10.1057/jors.1995.74 . |
| [20] | Hanson W, Martin K. Optimizing multinomial logit profit functions[J]. Management Science, 1996, 42(7): 992-1003. DOI: 10.1287/mnsc.42.7.992 . |
| [21] | Li H M, Huh W T. Pricing multiple products with the multinomial logit and nested logit models: concavity and implications[J]. Manufacturing Service Operations Management, 2011, 13(4): 549-563. DOI: 10.1287/msom.1110.0344 . |
| [22] | Wang R X. Capacitated assortment and price optimization under the multinomial logit model[J]. Operations Research Letters, 2012, 40(6): 492-497. DOI: 10.1016/j.orl.2012.08.003 . |
| [23] | Gallego G, Wang R X. Multiproduct price optimization and competition under the nested logit model with product-differentiated price sensitivities[J]. Operations Research, 2014, 62(2): 450-461. DOI: 10.1287/opre.2013.1249 . |
| [24] | Li G, Rusmevichientong P, Topaloglu H. The d-level nested logit model: assortment and price optimization problems[J]. Operations Research, 2015, 63(2): 325-342. DOI: 10.1287/opre.2015.1355 . |
| [25] | Huh W T, Li H M. Technical note:pricing under the nested attraction model with a multistage choice structure[J]. Operations Research, 2015, 63(4): 840-850. DOI: 10.1287/opre.2015.1400 . |
| [26] | Song J S, Xue Z L. Demand management and inventory control for substitutable products[J]. Social Science Electronic Publishing, 2007. DOI: 10.2139/ssrn.3866775 . |
| [27] | Dong L X, Kouvelis P, Tian Z J. Dynamic pricing and inventory control of substitute products[J]. Manufacturing and Service Operations Management, 2009, 11(2): 317-339. DOI: 10.1287/msom.1080.0221 . |
| [28] | Li H M, Webster S, Yu G. Product design under multinomial logit choices: optimization of quality and prices in an evolving product line[J]. Manufacturing Service Operations Management, 2020, 22(5): 1011-1025. DOI: 10.1287/msom.2019.0788 . |
| [29] | Wang R X, Ke C X, Cui S L. Product price, quality, and service decisions under consumer choice models[J]. Manufacturing Service Operations Management, 2022, 24(1): 430-447. DOI: 10.1287/msom.2020.0947 . |
| [30] | Hopp W J, Xu X W. Product line selection and pricing with modularity in design[J]. Manufacturing Service Operations Management, 2005, 7(3): 172-187. DOI: 10.1287/msom.1050.0077 . |
| [31] | Maddah B, Bish E K. Joint pricing, assortment, and inventory decisions for a retailer’s product line[J]. Naval Research Logistics, 2007, 54(3): 315-330. DOI: 10.1002/nav.20209 . |
/
| 〈 |
|
〉 |