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性别: 女

毕业院校: 南开大学

学位: 博士

所在单位: 商学院

电子邮箱: shidan56@dlut.edu.cn

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Manufacturer's financing strategy in a dual-channel supply chain: Third -party platform, bank, and retailer credit financing

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论文类型: 期刊论文

发表时间: 2020-01-01

发表刊物: TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW

收录刊物: SCIE、SSCI

卷号: 133

ISSN号: 1366-5545

关键字: Third-party platform credit financing; Retailer credit financing; Capital constraint; Dual-channel supply chain

摘要: The third-party platform channel has been widely used in addition to the traditional retail channel to sell products. In practice, some third-party platforms provide financing services to small businesses that sell products on them. However, few studies addressed the capital constraint problem faced by a manufacturer who sells products through both retailers and thirdparty platforms, especially when considering the third-party platform's lending service behavior. This research establishes a model where a capital-constrained manufacturer sells products through a retailer and a third-party platform and may pursue a financing strategy by borrowing from the third-party platform (3PF), the retailer (RF), or the bank (BF). We investigate the impact of the third-party platform's or retailer's dual role lending provider and channel participant on dual-channel operational management and study the manufacturer's financing strategy choices by comparing profits under different financing strategies. The results of our analysis show that for the manufacturer, the 3PF strategy is always better than the BF strategy. Furthermore, the manufacturer is more likely to prefer the RF strategy to the 3PF strategy as the channel competition increases or as the revenue sharing rate or unit production cost decreases. We also find that the retailer's retail price increases as the revenue sharing rate increases if there is no capital constraint, but it decreases under the BF and 3PF strategies. This indicates that the manufacturer's financing behavior has a significant impact on the retailer's retail price decision. We extend our model by considering random demand and find that these findings continue to hold when the potential demand equals its expected value.

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