Supply Chain Finance Research Articles

Assessing the adoption barriers for the AI in food supply chain finance applying a hybrid interval-valued Fermatean fuzzy CRITIC-ARAS model.

The identification and evaluation of barriers to artificial intelligence (AI) adoption in food supply chain finance (FSCF) can be addressed as a multiattribute decision-making problem. However, only a few studies have reported the application of decision models for evaluating barriers to the implementation of AI in FSCF, especially within an uncertain context. Hence, this work explores the evaluation issue of implementation barriers via an integrated decision model. In this model, the conventional additive ratio assessment (ARAS) model integrated with the Choquet integral and criteria importance through intercriteria correlation (CRITIC) is extended into the interval-valued Fermatean fuzzy (IVFF) setting for ranking the barriers. The IVFF weighted average operator based on the Choquet integral is introduced to form a group decision matrix. Then, the developed ARAS model with the IVFF-CRITIC method is proposed to evaluate the implementation barriers for AI in FSCF, which can depict the interactions between the barriers. Finally, a case of an FSCF, including four participants, is presented to illustrate the application of the reported model and demonstrate its reliability. The result shows that "Data privacy" ([Formula: see text]) is the main barrier impeding AI adoption in FSCF, and the participant "small and medium-sized processing enterprises" ([Formula: see text]) has the highest barrier level to AI adoption.

Blockchain-Enabled Supply Chain Finance: A Bibliometric Review and Research Agenda

The COVID-19 pandemic has revealed weaknesses in traditional supply chain finance systems, highlighting the need for digital change. Blockchain technology, with its ability to create secure and transparent records of transactions, offers a potential solution. This study uses bibliometric analysis and a literature review to examine research on blockchain-enabled supply chain finance, drawing on a database of 446 articles from ScienceDirect and Scopus. The findings show a growing interest in how blockchain can improve transparency, efficiency, and security in supply chain finance, addressing challenges like information asymmetry. This study suggests future research should focus on real-world applications of blockchain, how it can be used with other technologies, regulations and governance, and the social and environmental impacts of blockchain-based supply chain finance. This research also highlights the different priorities of the Global North and South in blockchain-enabled supply chain finance. The North focuses on efficiency and traceability, while the South emphasizes adding value and transparency. A lack of research on fair pricing, especially in the Global South, points to a critical gap that future research needs to address to ensure fairness in global trade.

Federated machine learning in finance: A systematic review on technical architecture and financial applications

Abstract. With the advancement of technology, an increasing amount of data is stored online, including substantial amounts of personal information. Especially in the financial industry, where large sums of money are often involved, protecting personal privacy is crucial. Federated learning, as a privacy-preserving distributed machine learning method, offers a solution to these challenges by enabling data privacy while addressing the difficulties of data sharing in the financial sectorissues that frequently impede innovation, risk management, and fraud detection. This paper delves into the principles of federated learning algorithms, exploring their mechanisms in detail. Besides, applications and case studies in applications such as financial fraud detection, supply chain financing prediction, and other financial services are examined. Furthermore, sample dataset will be introduced. Moreover, the potential benefits and challenges of implementing federated learning within financial contexts are also assessed. Finally, promising research directions for the application of federated learning in the financial industry are outlined.

Data Enablement: Construction of the “I-shaped” Business Pattern Supply Chain Finance Platform

Data Enablement: Construction of the “I-shaped” Business Pattern Supply Chain Finance Platform

RETRACTION: The Genetic Algorithm and BP Neural Network in Financial Supply Chain Management Under Information Sharing

<scp>RETRACTION</scp>: The Genetic Algorithm and <scp>BP</scp> Neural Network in Financial Supply Chain Management Under Information Sharing

Bibliometric Analysis on SCF Adoption: A Key to Growth for Cross-Border E-Commerce SMEs

Despite the growing importance of Supply Chain Finance (SCF) for cross-border e-commerce SMEs, research on their adoption factors remains scarce. This study analyses 257 publications to bridge this gap. Findings reveal a rapidly growing field with China leading in both research and adoption. Performance, management, and impact are central themes, while blockchain and online SCF platforms emerge as trends. Future research directions include investigating blockchain's impact on risks, understanding the role of e-retailer platforms, and analysing specific challenges faced by cross-border e-commerce SMEs. This research highlights the increasing importance of SCF and identifies key areas for further exploration to optimize its benefits for this crucial sector.

Financing the capital-constrained farmer under random yield and investment information asymmetry: bank credit versus trade credit

PurposeFinancing the capital-constrained farmers to facilitate the production of agri-products is one of the greatest challenges facing the farming supply chain in the developing countries. In this study, we investigate the optimal financing scheme for the farming supply chain under random yield and investment information asymmetry environment to support rural economic development.Design/methodology/approachWe analyze a stylized model of farming supply chain where the capital-constrained farmer produces and sells agri-products through the agribusiness firm, and investigate the optimal financing scheme incorporating the investment information asymmetry and the challenge of yield uncertainty.FindingsThe results show that there is no one financing scheme equilibrium dominates for all situations, the financing scheme equilibrium is affected by the bank’s supervision cost to monitor the farmer’s moral hazard behavior, the variance of random yield and the farmer’s initial capital. The preference of the financing scheme for the agribusiness firm may be different from that for the farmer. The agribusiness firm might suffer from overfinancing problem under trade credit financing when the bank’s supervision cost is larger and the farmer’s own initial capital is lower; the higher variance of random yield will flare up the effect.Practical implicationsThis study sheds light on the choice of financing scheme under random yield and investment information asymmetry environment. This problem is particularly important for developing economies. Financing the capital-constrained farmers not only increases supplies of food and industrial raw materials, but also reduces poverty. The findings provide managerial implications for practitioners for how to leverage different financing scheme to support rural economic development.Originality/valueThis study develops new theoretical model for farming supply chain financing incorporating the challenge of yield uncertainty and investment information asymmetry, the two prominent factors that would impact the financial risk significantly. We analyze the equilibrium under both bank financing and trade credit financing schemes, and the results suggest that the financing scheme equilibrium is affected by the bank’s supervision cost to monitor the farmer’s moral hazard behavior, the variance of random yield and the farmer’s initial capital. The agribusiness firm might suffer from overfinancing problem under trade credit financing.

Optimal decisions in a capital-constrained supply chain under credit guarantee and revenue-sharing contracts

This study proposes a novel Supply Chain Finance scheme (CG-RS), integrating credit guarantees (CG), and revenue-sharing contracts (RS). We analyze a three-party Stackelberg game between a capital-constrained retailer, supplier, and bank. We derived equilibrium strategies under both monopolistic and competitive bank markets to investigate the impact of the CG-RS scheme on the financial performance of each party. From the numerical analysis, we find that all parties can benefit from the CG-RS scheme by mitigating default risk and aligning incentives. The supplier's guarantee coefficient and the retailer's initial capital significantly influence the scheme's outcomes, while the revenue-sharing proportion plays a crucial role in balancing interests. Our findings suggest that the CG-RS scheme offers a promising solution for addressing capital constraints and enhancing supply chain performance.

The impact of supply chain finance on financial constraints of small and medium-sized enterprises and the moderating factors

ABSTRACT Supply chain finance (SCF) has gained significant popularity and has been extensively implemented in practical applications to facilitate cash flow by involving financial institutions. However, there are very few empirical studies on SCF. This study examines whether and how much SCF can alleviate financial constraints of small and medium-sized enterprises (SMEs). Furthermore, we examine the impact of information asymmetry, financial development depth, and economic policy uncertainty on the effectiveness of SCF. These three moderating factors correspond to the influence of firms, local financial development, and national government on SCF effectiveness, respectively. The empirical analysis shows that SCF can alleviate SMEs’ financial constraints significantly, and this effect is more pronounced for firms with higher information disclosure quality and located in financially developed areas. Our findings have important implications for firms and authorities, such as understanding the dynamics of SCF and developing appropriate measures and frameworks to promote the broad adoption and effective utilization of SCF.

Do supply chain finance and trade digitization matter in mitigating financial instability in supply chains? An information processing theory view

ABSTRACT This research is grounded in the information processing theory and aims to assess the impact of supply chain financial instability and supply chain management capabilities (e.g. supply chain finance and trade digitization) on the performance of a focal firm. In particular, we consider the impact of supply chain financial instability as information processing needs and supply chain finance and trade digitization as information processing capabilities. We discuss how the fit between the information processing capabilities and the information processing needs improves a firm’s performance, which results in competitive advantage. Path analyses were performed using data collected from 199 manufacturing enterprises in China. The results suggest that when supply chain finance and trade digitization are fitted with the needs to mitigate the impact of supply chain financial instability, a focal firm’s performance can be improved through reduced costs, enhanced efficiency, and bolstered market value. These value-adding outcomes would help gain competitive advantage.

Supply Chain Financing and Total Factor Productivity: Evidence From Listed Manufacturing Companies in China

Supply Chain Financing and Total Factor Productivity: Evidence From Listed Manufacturing Companies in China

Breaking the mold: the pursuit of decentralized trade and supply chain finance

Breaking the mold: the pursuit of decentralized trade and supply chain finance

Research on the High-Quality Development of Agricultural Supply Chain Financial Ecosystem Empowered by Science and Technology

A systematic perspective on agricultural supply chain finance can offer fresh insights into its development. The high-quality development of the agricultural supply chain finance ecosystem is crucial for the comprehensive revitalization of rural areas and the realization of agricultural power. Based on the current state of development of this ecosystem, this paper identifies several bottlenecks, such as insufficient policy and technical support in the macro-environment system, weak incentives for independent circulation within the industrial environment system, and inadequate motivation for stakeholders to participate in the micro-environment system. To address these issues, this paper proposes that the visualization, digitalization, and authenticity characteristics of the “blockchain + Internet of Things” technology architecture can effectively resolve these bottlenecks. Additionally, targeted strategies are suggested to promote the high-quality development of the agricultural supply chain finance ecosystem.

Tracking Research Trends in Working Capital Management: A Ten-Year Bibliometric Review Based on Dimensions AI Database

This study examines trends in working capital management (WCM) research over the past decade, focusing on key contributors and significant themes. Utilizing data from the Dimensions AI database, we provide an overview of WCM from 2015 to 2024. A systematic review methodology guided our literature gathering, beginning with a keyword search on October 18, 2024, using terms like "working," "capital," "management," and "trend." The final dataset comprised 198 peer-reviewed articles and conference proceedings, ensuring the robustness of our findings. Our analysis reveals fluctuating publication trends, peaking at 35 publications in 2021, followed by a decline in recent years. Key authors, including Pais et al. and Parker et al., emerged as influential figures, with substantial contributions from institutions such as the Ghulam Ishaq Khan Institute and Hamad Bin Khalifa University. The United States and Pakistan lead in research output. Additionally, bibliographic coupling networks highlight clusters focusing on profitability, gaps in empirical research, digitalization in supply chain finance, and practices in family firms. The findings underscore the growing importance of effective WCM in enhancing organizational performance while identifying gaps, particularly in developing economies. Future research should address these gaps to improve both academic discourse and practical applications in the field.

Blockchain-enabled supply chain finance model: a study of the dual-channel closed-loop supply chain of electronic products

Blockchain-enabled supply chain finance model: a study of the dual-channel closed-loop supply chain of electronic products

Navigating Economic Uncertainties: The Role of Technological Innovations in Enhancing Supply Chain Resilience

This study explores the multifaceted impact of economic indicators, financial market dynamics, and technological innovations on supply chain efficiency and resilience. Through comprehensive quantitative analyses, including panel data regression, multivariate regression, and time-series analysis, we dissect the relationship between GDP growth rates, inflation, unemployment rates, interest rate fluctuations, exchange rate volatility, stock market trends, and supply chain performance metrics. Our findings highlight a significant correlation between economic growth and supply chain efficiencies, the exacerbating effect of inflation and unemployment on supply chain costs and demand, and the nuanced impacts of financial market dynamics on supply chain financing and operational strategies. Moreover, we delve into the transformative potential of digitalization, automation, blockchain technology, and advanced analytics in mitigating risks associated with economic fluctuations and financial uncertainties. The empirical evidence suggests that technological innovations not only enhance supply chain resilience but also offer strategic advantages in navigating the complexities of global economic landscapes. This study underscores the critical need for adaptive strategies that leverage technological advancements to sustain supply chain competitiveness in an era of economic and financial volatility.

Application Analysis of Supply Chain Finance in Construction Industry -Take A Platform as an Example

With the development of globalization, competition between enterprises has increased, and supply chain management has become an important means for enterprises to gain competitive advantages. At present, the research on supply chain finance mainly focuses on risk management and effect analysis, and the research objects are concentrated on commercial banks and agricultural development, while the application of the construction industry is relatively small. This article uses case analysis and SWOT-PEST analysis method. Take A supply chain platform as an example to analyze the impact of the internal and external environment on the construction industry supply chain platform. Studies have found that many factors such as policy support, technological updates, economic fluctuations, and competition affect the development of the A platform. The development of the construction industry supply chain platform needs to grasp the direction of government strategy, fully understand user needs, seek technological innovation and establish a risk prevention mechanism.

Supply chain finance and outward foreign direct investment

This study empirically examines the impact of Chinese A-share-listed companies' supply chain finance (SCF) application on outward foreign direct investment (OFDI) by textually analyzing SCF keywords from listed companies' announcements from 2010 to 2021. The results show that applying SCF can significantly increase OFDI. Having taken the Staggered Differences-in-Differences (DID) test, Propensity Score Matching (PSM) test, entropy balancing (EB) method, and IV test to solve potential endogeneity problems, the results remain robust. Further, alleviating financial constraints and strengthening total factor productivity are critical mechanisms of SCF on OFDI. Moreover, the location of firms in regions with higher levels of the rule of law or advanced financial technology could further amplify the positive impact of SCF on OFDI. Finally, compared with exports, firms are more likely to choose OFDI. Besides the depth and breadth of OFDI, the investment amount of OFDI is also increasing because of SCF.

The determinants of gender spillovers in FDI: An analysis of Namibia

This paper examines the effect of foreign firm characteristics on FDI spillovers in Namibia, with a specific focus on gender spillover, as an additional measure to total labour spillover. Also, the possible differing spillovers in the manufacturing and services firms are investigated. Using data from the World Bank Enterprise Survey for 2006 and 2014, the paper finds that the gender spillover is significantly influenced by four variables; sector, firm age, transport challenges, and supply-chain finance. Relative to the services sector, firms in the manufacturing sector are found to significantly drive gender spillovers due to a probable preference for females “nimble fingers”, perceived obedience, and lower wages. However, the paper documents that older firms, especially those in the manufacturing sector, negatively impact gender spillovers. Also, transport challenges are shown to drive gender spillovers. This result arises from the possibility that they impose an opportunity cost, whereby, firms may defer investing in female labour due to lower perceived wages to compensate for high transport costs. Finally, we document a negative influence of supply-chain finance on gender spillovers, arising from possible labour cuts as MNCs outsource jobs in the supply chain.

Supply chain financing theory of the trade payables–performance link

The existing empirical literature provides conflicting explanations of the relationship between trade payables and financial performance, highlighting a gap in understanding the nuances of this relationship. This article proposes a novel theory based on empirical evidence that re-examines the trade payables–performance linkage and explores the role of supply chain finance (SCF) as a critical moderating variable. Using a comprehensive methodology that integrates face-to-face interviews, web scraping, desk research, and econometric modelling, we identify the previously overlooked but significant factor of the implicit cost effect. Overall, the results suggest that SCF significantly modifies the relationship between trade payables and performance, and that SCF buyers are more likely than non-SCF buyers to achieve positive financial outcomes from extending trade payable terms due to the implicit cost effect. This research resolves existing theoretical discrepancies and provides deep insights into the dynamics of trade payable terms and the role of SCF. In addition, the study offers significant practical implications by informing corporate decision makers about strategies to optimise a supply chain’s working capital efficiency in order to improve financial performance.