Supply Chain Finance Factors: An Interpretive Structural Modeling Approach

Purpose: The present study aims to identify the critical factors of supply chain finance and interrelationship between using interpretive structural modeling. Methodology: Factors were identified from literature experts both industry academia consulted assess contextual relationships factors. Then, we applied modeling examine interrelationships these find out Findings: model outcome indicates information sharing workforce be most influential factors, followed by automation trade financial attractiveness. Originality/value: Previous various that influence finance. However, studies showing are lacking. This is unique in field as it applies total for assessing affect Our will aid practitioners’ decision-making adoption providing a necessary framework.