Assessing Key performance indicators in Blockchain-Based Supply Chain Financing: Case Study of Chain Stores

Abstract

In recent years, due to the growth and development of financing tools and methods, financial institutions are always looking for new, efficient, and low-cost methods. In carrying out their daily production operations, companies are faced with different and diverse financial input and output flows from purchasing orders and inventory to receiving the price of sold goods, which are not the same in terms of time. Therefore, they will inevitably look for the financing of these processes, which is referred to as working capital financing. However, in the conditions of recession and lack of bank loans and considering the problems caused by the unilateral management of this issue, there is a need for innovative financial tools such as supply chain financing (SCF). In recent years, with the introduction and evolution of blockchain technology, this opportunity has also arisen in financial fields to make the most of this new technology. Considering the growth of this technology and the importance of supply chain financing, in this research, it was first tried to fully investigate the dimensions and key components of blockchain-based supply chain financing. chain stores were considered as a case study and the importance of supply chain financing was analyzed in them and the SCF framework was presented in these applied enterprises. In addition, the most important key performance indicators in a blockchain-based supply chain financing system are identified and evaluated with an emphasis on chain store processes. To evaluate the data, a non-linear hierarchical analysis method was used. The results show that transferring and reducing risks in different types is one of the most important performance indicators of the blockchain-based supply chain financing system.

Presenting a combined econometric model to optimize the stock portfolio in the stock exchange

“…The results of the optimization have shown that in all three mentioned models, more weight in the investment portfolio has been allocated to industries that have less fluctuations in the stock returns of those industries. Also, the optimal weight has been decreasing over time for industries whose efficiency fluctuations have increased, and on the contrary, if the fluctuations in efficiency have decreased over time, the optimal share of the portfolio has increased [12]. Some other researchers focused on the optimization of the investment portfolio using the multivariable Markowitz and multivariate model.…”