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The purpose of this paper is to develop a better understanding of supply chain management in the financial services industry by examining information flow in improving efficiencies (i.e. material, information, capital, etc.) via intelligent matching.

The objective was to address the issues specific to financial services organizations in intelligent matching, examining organizational, technological and application aspects. In order to address these issues, we have utilized an exploratory research methodology, based on a literature review and some initial case studies.

Drivers for intelligent matching solutions have been suggested in this research to include the ability to link financial matching activities to other supply chain activities. Further integration of business processes, both within and between enterprises, will require both human and computational intelligence to approach efficiencies in automation.

Supply chain efficiencies enabled by financial products and information give organizations greater visibility over their receivables, working capital needs, and overall financial position. Limitations of this research include a small sampling of case studies; future research will include a wider scope of cases as to test the findings.

Interoperability of information between the physical movement of goods and financial information within supply chains is key to realizing cost‐reduction and revenue‐enhancement advantages.

This paper discusses a potential area for extending our understanding of supply chains and the role of information flow in improving efficiencies, especially in the financial services industry.

The main streams of the supply chain are defined as material, information and financial flow. There have been many studies and practical cases regarding the flow of material and information including information sharing. However, financial flow related studies have not been widely examined relatively, compared with their importance.

The information sharing is recognized as the method that can reduce the Bullwhip effect in supply chain management. The author intends to analyze the impact of financial information sharing on the results of the supply chain.

In the point of supply chain risk management view, the author examined the impact of financial flow among the various factors that can impede the stability of the supply chain.

In this study, the author embodied the simulation regarding the impact of financial information flow on supply chain performance and stability based on the system dynamics methodology and analyzed the performance.

Assuming the supply chain, composed of supplying company, manufacturing company and sales company , the author embodied the simulation model and assumed that working capital and cash information sharing were achieved. The author embodied the model to affect the settlement conditions according to the results of financial information sharing.

This paper aims to explain the weaknesses and inconsistencies inherent in the Dodd-Frank Act of 2010 (USA).

The approach is entirely theoretical and multi-disciplinary (and relies on some third-party empirical research), and it consists of a literature review, critique and the development of theories which are applicable across countries.

The Dodd-Frank Act is inefficient and inadequate as a response to the global financial crisis. The Dodd-Frank Act has not resulted in significant economic growth and has increased transaction costs and compliance costs for both government agencies and financial services companies.

The author developed the theories introduced in the paper.