Order to optimize: evaluating the role of purchase orders and receivables in corporate financing
This study explores order-based Supply Chain Finance (SCF) strategies for upstream SME suppliers, focusing on Purchase Order Financing (PF) and Accounts Receivable Factoring (AF). These transaction-linked tools enhance liquidity by synchronizing capital flow with logistics. While AF is well-established, PF is increasingly adopted, sometimes in hybrid forms—used during procurement, then transitioning to AF post-shipment for efficient cash recovery. Amid global supply chain volatility and fragmented trade schedules, this research develops quantitative models incorporating logistical risk to assess four financing portfolios: (A) Self-Financing (SF), (B) SF to AF, (C) PF only, and (D) PF to AF. Through mathematical deduction, we derive the following inference: The results reveal no universally superior strategy—optimality depends on the other operational and financial context. Strikingly, strategy effectiveness proves independent of customer default risk, a counter-intuitive finding that challenges conventional assumptions. Based on numerical experiments, we draw further insights: Factoring emerges as optimal when its rate falls below the supplier’s discount rate and advance terms are favorable, while hybrid PF–AF strategies outperform in 70% of cases, especially under high order value and advance rates. Conversely, pure PF requires high margins, while low-cost SF remains viable. Notably, logistical uncertainty exerts minimal impact on financing choice, underscoring the surprising robustness of these results.
Authors
- Ming‐Chih Tsai (ORCID: https://orcid.org/0000-0002-7441-0999)
- Andy Wu (ORCID: https://orcid.org/0000-0003-0749-2100)
Institutions
- National Chung Hsing University (TW)
Publication Details
- Journal
- Cogent Business & Management
- Published
- 2025-11-14
- DOI
- https://doi.org/10.1080/23311975.2025.2577863
- Primary Topic
- Supply Chain and Inventory Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00