Abstract
We examine an online financing system involving a platform, a bank, and a retailer, in which the bank makes the optimal interest rate decision before the bank-platform negotiation for the interest allocation ratio (scenario 1) or after the interest allocation ratio negotiation (scenario 2). We find that the retailer's sales and profits in scenario 1 are higher than those in scenario 2. Moreover, if the referral fee rate increases, the system-wide profit and the system efficiency for scenario 1 increase but those for scenario 2 decrease.
| Original language | English |
|---|---|
| Article number | 107268 |
| Journal | Operations Research Letters |
| Volume | 60 |
| Early online date | 25 Feb 2025 |
| DOIs | |
| Publication status | Published - May 2025 |
Bibliographical note
Publisher Copyright:© 2025
Funding
This research paper was supported by the General Research Fund (GRF) of the Hong Kong Research Grants Council under Research Project No. LU13500822.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 12 Responsible Consumption and Production
Keywords
- Nash bargaining
- Platform financing
- Sequential-move game
Fingerprint
Dive into the research topics of 'Optimal Retail Pricing, Interest Rate, and Interest Allocation Ratio Decisions in an Online Platform-Assisted Financing System'. Together they form a unique fingerprint.Projects
- 1 Finished
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Should Delivery-Time Ratings be Disclosed in Online Markets? Optimal Pricing and Promised Delivery Time Decisions with Theoretical Models Supported by Empirical Data
LENG, M. (PI) & BECERRIL-ARREOLA, R. (CoI)
Research Grants Council (Hong Kong, China)
1/01/23 → 31/12/24
Project: Grant Research
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