A value chain framework for guiding the financial firms in their credit decisions is urgent, as the current COVID-19 pandemic has highlighted, but missing in the extant literature, particularly for those that lend to industries sensitive to value and supply chain bottlenecks. This study creates knowledge in value chain finance, a big untapped and un-researched market. It constructs, confirms, and validates a value chain framework for assessing risks in lending to Agro and Food Processing firms in which value chain risks are major business concerns globally. To pursue the objectives of the study, we use a novel methodology that integrates the Modified Delphi technique, exploratory factor analysis, confirmatory factor analysis, and discriminant analysis. Based on testing and analysis of primary data, including loan data, a framework comprising six factors is proposed for use in conjunction with existing risk assessment models of finance companies to improve the quality of their credit decisions, contributing to their performance sustainability.

中文翻译：

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银行和金融公司如何将价值链因素纳入其风险管理战略？农产品公司的案例

正如当前的 COVID-19 大流行所强调的那样，指导金融公司进行信贷决策的价值链框架迫在眉睫，但在现有文献中却缺失，特别是那些向对价值和供应链瓶颈敏感的行业提供贷款的公司。这项研究创造了价值链金融方面的知识，这是一个尚未开发和研究的大市场。它构建、确认和验证了一个价值链框架，用于评估向农业和食品加工公司贷款的风险，在这些公司中，价值链风险是全球主要的商业问题。为了实现研究目标，我们使用了一种新的方法，该方法集成了改进的德尔菲技术、探索性因素分析、验证性因素分析和判别分析。基于对包括贷款数据在内的原始数据的测试和分析，