This study presents an overview of the state-of-the-art in trade credit research by examining 1191 publications between 1955 and 2019. Applying bibliometrics and econometrics, the study compares the extant research across the three sub-domains of banking and finance, production and operations, and accounting. Findings suggest that the financial emergency in the global market had resulted in a watershed moment in trade credit research. About 69 % of the literature was found to have emerged after the global economic crisis of 2008. A network analysis grouped the trade credit articles into four major and four minor clusters. The banking and financing cluster exhibited the highest growth followed by the production and operation cluster while the perspectives of accounting are yet to gain traction. Conversely, reputation of the publishing hub, empirical studies, and the production and operational dimensions of the research positively and significantly influence citations. Alongside a thorough introspection, the study also provides new areas to direct the course of future research.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7326445 | PMC |
| http://dx.doi.org/10.1016/j.ribaf.2020.101287 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Towards net zero: Comprehensive approach for voluntary carbon trading among microgrids.
Heliyon
October 2024
LERMA Laboratory, College of Engineering, International University of Rabat, Sala Al Jadida, 11100, Morocco.
In the context of growing focus over climate changes and promoting sustainability across a various range of fields, microgrids can play a significant role in global decarbonization endeavors, contributing to carbon neutrality and ultimately attaining net-zero emissions in the energy sector. The objective of this paper is to address the integration of voluntary carbon trading within microgrid communities, in the perspective to mitigate greenhouse gas (GHG) emissions and boost the integration of renewable energy sources (RES). Introducing five modular algorithms managing key aspects of carbon trading, the study engineers a comprehensive framework aiming to optimally orchestrate the Voluntary Carbon Market (VCM) within microgrids.
View Article and Find Full Text PDFThe analysis of credit governance in the digital economy development under artificial neural networks.
Heliyon
October 2024
School of Economics and Management, Tsinghua University, Beijing, 100084, China.
This paper aims to provide new avenues for innovation in credit governance in the digital economy to provide more reliable credit evaluation solutions for financial, commercial, and social interactions. This paper integrates the potential value of Internet of Things (IoT) technology in credit governance and proposes a credit governance method that utilizes IoT data and an improved Long Short-Term Memory model. The proposed model introduces an adaptive mechanism to monitor changes in data in real-time and automatically adjust network parameters to improve the model performance.
View Article and Find Full Text PDFBayesian optimization driven strategy for detecting credit card fraud with Extremely Randomized Trees.
MethodsX
December 2024
Infineon Technologies, Free Trade Zone, Batu Berendam, Melaka 75350, Malaysia.
Credit card usage has surged, heightening concerns about fraud. To address this, advanced credit card fraud detection (CCFD) technology employs machine learning algorithms to analyze transaction behavior. Credit card data's complexity and imbalance can cause overfitting in conventional models.
View Article and Find Full Text PDFExploring the impact of industrialization and electricity use on carbon emissions: The role of green FinTech in Asian countries using an asymmetric panel quantile ARDL approach.
J Environ Manage
November 2024
Department of Environmental Biotechnology, Faculty of Environmental and Energy Engineering, Silesian University of Technology, Ul. Akademicka 2A, 44-100, Gliwice, Poland.
Article Synopsis
- The study investigates the asymmetric effects of industrialization, financial development, electricity consumption, trade openness, and green FinTech on carbon emissions in 39 Asian countries from 1995 to 2022.
- Using a unique index created through principal component analysis, the study applies an Asymmetric Panel Quantile Autoregressive Distributive Lag model to analyze both long-term and short-term effects.
- Results show that while industrialization increases carbon emissions, green FinTech significantly mitigates them, highlighting the need for sustainable practices and policies that promote green investments and renewable energy in Asia.
Association of Participation in Medicare's Oncology Care Model With Spending, Utilization, and Quality Outcomes Among Commercially Insured and Medicare Advantage Members.
J Clin Oncol
January 2025
Department of Medical Ethics and Health Policy, University of Pennsylvania, Philadelphia, PA.
Purpose: The Oncology Care Model (OCM), a value-based payment model for traditional Medicare beneficiaries with cancer, yielded total spending reductions that were outweighed by incentive payments, resulting in net losses to the Centers for Medicare & Medicaid Services. We studied whether the OCM yielded spillover effects in total episode spending, utilization, and quality among commercially insured and Medicare Advantage (MA) members, who were not targeted by the program.
Patients And Methods: This observational study used administrative claims from a large national payer, yielding 157,189 total patients with commercial insurance or MA with solid malignancies who initiated 229,376 systemic anticancer therapy episodes before (2012-2015) and during (2016-2021) the OCM at 125 OCM-participating practices (a subset of total OCM practices) and a 1:10 propensity-matched set of 860 non-OCM practices.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!