EconPapers    
Economics at your fingertips  
 

Agentic AI for Credit Assessment and Working-Capital Optimization in Supply Chain Finance: A Theoretical Integration of Agency Theory and AI Ethics

Prasad Vasant Joshi ()
Additional contact information
Prasad Vasant Joshi: Symbiosis Institute of Operations Management, Nashik, Symbiosis International (Deemed) University

A chapter in Proceedings of the International Conference on Operations & Supply Chain Management 2025 (ICOSCM 2025), 2025, pp 290-295 from Springer

Abstract: Abstract While companies explore ways to maximize AI benefits in credit evaluation, financing, and working capital management, maintaining a balance between efficiency and ethics is crucial. By incorporating AI ethical principles and Agency theory, this work proposes a conceptual framework for developing accountable, transparent, and ethical systems. This study based on conceptual model combines AI ethics frameworks with Agency theory to better understand AI’s role in improving credit assessments and working capital management for the supply chain finance ecosystem. The study intends to develop a model that establishes a relationship between AI autonomy and its influences on the efficiency of credit assessment and the optimization of working capital, moderated by ethical governance and mediated by trust.

Keywords: Agentic AI; Supply Chain Finance; AI ethics framework; Agency theory (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-914-8_20

Ordering information: This item can be ordered from
http://www.springer.com/9789464639148

DOI: 10.2991/978-94-6463-914-8_20

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-08-02
Handle: RePEc:spr:advbcp:978-94-6463-914-8_20