Abstract

This study aims to clarify the risk management practices of banks as supply chain finance (SCF) service providers. Design/methodology/approach Using 4,014 evaluation and approval reports, this study constructed five risk management factors and examined their functions with secondary data. Two text-mining techniques (i.e. word sense induction, TF-IDF) were used to equip the classic routine of dictionary-based content analysis. This research successfully identified four important risk management factors: relationship-based assessment, asset monitoring, cash flow monitoring and supply chain collaboration. The default-preventing effect of these factors are different and contingent on the type of financing contexts (i.e. preshipment, postshipment).

Keyword

Computer-aided text analysis ;  Risk management ;  Supply chain finance

Abstract

Purpose The accounts receivable pool (ARP) is an e-invoice management system that provides suppliers with easy access to financial service. The purpose of this paper is to focus on the strength and weakness of ARP mechanism and suggest efficient methods to identify creditworthy borrowers. Design/methodology/approach By decomposing the sales records of 348 ARP borrowers and predicting the occurrence of overdue incidences, this study first portrays the creditworthy borrowers by sales features. Then, content analysis was applied to measure the loadings of soft and hard information, and examined the effectiveness of different information structures in creditworthiness assessment. Findings For ARP borrowers, upward trend and low volatility reveal their creditworthiness. In order to identify creditworthy borrowers beforehand, ARP financiers who have elaborated more soft information and less hard information can perform better. Originality/value This study first discussed ARP finance from a critical perspective and underlines borrower assessment to eliminate the defect of loose recourse. The empirical evidence presents the sales features of creditworthy borrowers. Moreover, the results suggest an efficient approach for ARP financiers to conduct better assessment.

Keyword

Accounts receivable pool finance ;  Information structure ;  Sales information