The impact of supply chain financing on SMEs performance in Global supply chain

Vu, Trong Lam; Nguyen, Duy Nhien; Luong, Tuan Anh; Nguyen, Thi Thanh Xuan; Nguyen, Thi Thai Thuy; Doan, Thi Diep Uyen

doi:10.5267/j.uscm.2021.9.003

Cited by 17 publications

(12 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…e valuation of financial assets is distorted, and insurance companies are facing increasingly severe market risks. As China's economy steps into the new normal and the rise of the mixed business model, the control of financial risks is particularly important [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation Method of Online Supply Chain Finance Logistics Enterprises Based on GARCH-VAR

Xia

Yang

2022

Security and Communication Networks

View full text Add to dashboard Cite

In recent years, China’s core enterprises have been plagued by high operating costs, difficult bank loans, and other practical problems in the supply chain. As a new financing model emerged in recent years, it has opened up new markets in finance and logistics industry and brought new ideas and vitality to all parties in the supply chain. Since the strengthening of supervision, the operation of the industry has gradually changed to the direction of normalization. The study of online loan interest rate fluctuation is helpful to understand the source and characteristics of online loan risk, which has important reference significance for China’s Internet lending market. The measurement of interest rate risk can help to monitor market risk in time and improve financial supervision. This paper takes the online loan interest rate under the background of supervision as the research object, combining theoretical analysis and empirical research to explore the characteristics of interest rate fluctuations and the reasons behind the P2P online loan, and discusses the online loan business model. Based on the influencing factors of interest rate fluctuation, this paper analyzes the main characteristics of network loan interest rate from the aspects of interest rate trend interval distribution, regional distribution, and background distribution. This paper adopts the daily closing price data of domestic R insurance company to establish the daily logarithmic return rate series of stock prices. The results show that (1) GARCH-VAR model can effectively reflect the stock price fluctuation and market risk degree of the insurance company; (2) the company’s VAR showed a trend of first rise and then slight decline, with the highest VAR in 2018; and (3) the interpretation of VAR value should be combined with financial indicators. The increase in net profit rate will also lead to the decline of VAR value in the next period. Based on this, countermeasures and suggestions for market risk management are proposed for insurance companies.

show abstract

Section: Introductionmentioning

confidence: 99%

Performance Evaluation Method of Online Supply Chain Finance Logistics Enterprises Based on GARCH-VAR

Xia

Yang

2022

Security and Communication Networks

View full text Add to dashboard Cite

show abstract

“…While businesses consider extending payment terms to conserve cash, the technique could have negative long-term effects and harm suppliers (Esenduran et al, 2022). Supply chain financing, on the other hand, provides a more practical option for faster payments and IJPPM 73,4 can be a beneficial resource for businesses (Vu et al, 2022). Supply chain financing, regarded as one of the oldest commercial payment activities, ensures that organizations always have sufficient working capital to continue operational activities (Soni et al, 2022).…”

Section: Working Capital and Supply Chain Disruption (Covid-19)mentioning

confidence: 99%

Working capital and firm performance: role of COVID-19 disruption

Pant¹,

Rathore

Dadsena

et al. 2023

IJPPM

View full text Add to dashboard Cite

PurposeThis study examines the performance effect of working capital for a large sample of Indian manufacturing firms in light of supply chain disruption, i.e. the COVID-19 pandemic.Design/methodology/approachThis study is based on secondary data collected from the Prowess database on Indian manufacturing firms listed on the Bombay Stock Exchange (BSE) 500. Panel data regression analyses are used to estimate all models. Moreover, this study has employed robust standard errors to consider for heteroscedasticity concerns.FindingsThe results challenge the current notion of working capital investment and reveal that higher working capital has a positive and significant impact on firm performance. Further, it highlights that Indian manufacturing firms suffered financially post-COVID-19 as they significantly lack the working capital to run day-to-day operations.Originality/valueThis research contributes to the scant literature by examining the association between working capital financing and firm performance in light of the COVID-19 pandemic, representing typical developing economies like India.

show abstract

“…Demand fulfillment rate (C 1 ): One of the criteria to be considered in the planning process is the demand fulfillment rate (Kumar et al ., 2022). Demand fulfillment rate is meeting a customer's product/service request by fulfilling it (Ebrahimi et al ., 2022; Vu et al ., 2022). Especially with COVID-19, the disruptions that occurred in the production sector, as in every industry, also caused disruptions in the planning of demand fulfillment (Singh et al ., 2022).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

A proposed circular-SCOR model for supply chain performance measurement in manufacturing industry during COVID-19

Özbiltekin-Pala

Koçak

Kazançoğlu

2022

IJQRM

View full text Add to dashboard Cite

PurposeCOVID-19 is a global event affecting supply chain operations and human health. With COVID-19, many issues in business models, business processes and supply chains, especially in the manufacturing industry, have had to change. The ability to analyze supply chain performances and ensure circularity in supply chains has become one of the factors whose importance has increased rapidly with COVID-19. Therefore, it aims to determine which supply chain performance criteria come to the fore for the company under consideration to accelerate the transformation into high performance and circularity in supply chains.Design/methodology/approachIn this study, a new circular-SCOR model is proposed, and 17 supply chain performance measurement criteria are prioritized for a manufacturing company in the context of circular economy principles during COVID-19 by using stepwise weight assessment ratio analysis and analytical hierarchy process method, separately.FindingsAs a result, for both methods, in the case study discussed, the demand fulfillment rate is determined as the most prominent criterion in line with the circular economy principles in the COVID-19 period in manufacturing supply chains.Originality/valueIt is expected that this study will contribute to managers and policy makers as it addresses the “new normal” that started after COVID-19 and the criteria to be considered in supply chain performance measurement and emphasizes the need to adopt circular supply chains, especially in manufacturing industries.

show abstract

The impact of supply chain financing on SMEs performance in Global supply chain

Cited by 17 publications

References 29 publications

Performance Evaluation Method of Online Supply Chain Finance Logistics Enterprises Based on GARCH-VAR

Performance Evaluation Method of Online Supply Chain Finance Logistics Enterprises Based on GARCH-VAR

Working capital and firm performance: role of COVID-19 disruption

A proposed circular-SCOR model for supply chain performance measurement in manufacturing industry during COVID-19

Contact Info

Product

Resources

About