Rath, Sambit Brata, Basu, Preetam, Choi, Tsan-Ming, Mandal, Prasenjit (2024) FinTech for supply chain operations: Platform credit financing. IEEE Transactions on Engineering Management, . pp. 1-35. ISSN 0018-9391. (doi:10.1109/tem.2024.3453595) (KAR id:106967)
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Official URL: https://doi.org/10.1109/tem.2024.3453595 |
Abstract
Traditionally, in supply chain management, manufacturers such as Hewlett-Packard and Procter&Gamble fund their downstream retailers through trade credit financing (TCF). Recently, with the advance of FinTech, platforms have also implemented innovative financing schemes called platform credit financing (PCF). Both TCF and PCF are risky, which expose the lender to operational risks. Motivated by these real-world practices, we model a three-echelon supply chain in which a capital-constrained retailer, exposed to operational risk, orders from the manufacturer and sells on an online platform. We explore TCF and PCF, and determine the retailer's optimal financing options based on her operational risk and the platform's referral fee for the product category. Our results show that PCF becomes profitable for all three entities when the retailer's operational risk level is high. This result justifies the successful adoption of PCF under a high operational risk scenario where it becomes challenging for the retailer to obtain financing through traditional modes. We also find that TCF may achieve a win-win-win outcome in the presence of a loss-averse lender or in the partial demand fulfillment scenario. To derive more insights and check for the robustness of core findings, we examine several extended cases.
Item Type: | Article |
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DOI/Identification number: | 10.1109/tem.2024.3453595 |
Uncontrolled keywords: | FinTech, platform credit financing, e-commerce, supply chain finance |
Subjects: | H Social Sciences |
Divisions: | Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems |
Funders: | University of Kent (https://ror.org/00xkeyj56) |
Depositing User: | Preetam Basu |
Date Deposited: | 21 Aug 2024 13:44 UTC |
Last Modified: | 05 Nov 2024 13:12 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/106967 (The current URI for this page, for reference purposes) |
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