Innovative Drivers towards Credit Evaluation Models for Cross-border Enterprise
DOI:
https://doi.org/10.48017/dj.v11iSpecial_1.3742Keywords:
Digital economy, cross-border enterprises, credit evaluation model, five - dimensional model, innovative pathsAbstract
With the rapid development of the digital economy, cross-border enterprises are presented with new development opportunities. However, they also face numerous challenges in credit evaluation. Traditional credit evaluation models, which often faced limitations in information collection, analytical vigor, adaptability, and predictive accuracy, fail to meet the requirements of cross - border transactions. The study critically examined the challenges posed by cross - border enterprises in credit evaluation in the context of the digital economy. By addressing such challenges, the research proposed a five-dimensional model encompassing financial strength, enterprise quality, management factors, operational capabilities, and the external environment. Each dimension is analyzed to capture the unique attributes and risks associated with cross-border operations, giving a more multidimensional framework for credit evaluation. Also, the study explored practical, acceptable, and innovative pathways for model implementation such as strategies for integrating digital technologies focusing on transparency and predictive accuracy in credit assessments, thereby contributing to the resilience and competitiveness of global enterprises in an increasingly interconnected world.
Metrics
References
Altman, E. I. (1968). Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. Journal of Finance, 23(4), 589–609. https://doi.org/10.2307/2978933
Dun & Bradstreet. (2022). Global risk management report. https://www.dnb.com
Gladtrust Credit Research Institute. (2023). Digital Risk Control in Cross-Border Trade: A White Paper (in Chinese). Beijing: CITIC Press.
Huang, Y. (2022). Influence of Cultural Differences on the Establishment of Consumer Trust in a Socialized Cross-Border E-Commerce. Mobile Information Systems. https://doi.org/10.1155/2022/9952335.
IMF. (2022). Global financial stability report: Navigating the high-inflation era. International Monetary Fund. https://www.imf.org
IMF. (2023). World economic outlook. International Monetary Fund. https://www.imf.org
Kim, Y., & Sohn, S. Y. (2020). A hybrid approach for credit risk assessment in supply chain finance. Expert Systems with Applications, 158, 113567. https://doi.org/10.1016/j.eswa.2020.113567
Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. Decentralized Business Review. https://bitcoin.org
Statista. (2023). Global cross-border e-commerce transaction volume. https://www.statista.com
Tian, H. (2017). On Big-Data-Based Credit Evaluation for Cross-Border E-Commerce. 32.
Wang, J., & Zhang, L. (2022). The impact of digital technology on the credit evaluation system of cross-border enterprises: A comparative analysis. International Journal of Business and Economics Research, 31(3), 45–60.
Wang, F., Wei, M., & Teo, B. (2022). Research on Credit Risks and Countermeasures of Cross-border E-commerce in China. Frontiers in Business, Economics and Management. https://doi.org/10.54097/fbem.v6i3.3459.
World Bank Group. (2023). Global economic prospects: Fragile recovery. World Bank. https://www.worldbank.org
WTO. (2022). World trade report. World Trade Organization. https://www.wto.org
Xu, C., Guo, R., Zhang, Y., & Luo, X. (2023). Toward an Efficient and Effective Credit Scorer for Cross-Border E-Commerce Enterprises. Scientific Programming. https://doi.org/10.1155/2023/5281050.
Zhong, X., Yan, W., & Ke, K. (2020). Creadit Assessments of Cross-Border E-Commerce SMES in Guangdong based on Hierarchical Analysis and Fussy Sytem with Big Data. 2020 Management Science Informatization and Economic Innovation Development Conference (MSIEID), 394-397. https://doi.org/10.1109/msieid52046.2020.00084
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Yue Xing, Jessa Frida Festijo
This work is licensed under a Creative Commons Attribution 4.0 International License.
The Diversitas Journal expresses that the articles are the sole responsibility of the Authors, who are familiar with Brazilian and international legislation.
Articles are peer-reviewed and care should be taken to warn of the possible incidence of plagiarism. However, plagiarism is an indisputable action by the authors.
The violation of copyright is a crime, provided for in article 184 of the Brazilian Penal Code: “Art. 184 Violating copyright and related rights: Penalty - detention, from 3 (three) months to 1 (one) year, or fine. § 1 If the violation consists of total or partial reproduction, for the purpose of direct or indirect profit, by any means or process, of intellectual work, interpretation, performance or phonogram, without the express authorization of the author, the performer, the producer , as the case may be, or whoever represents them: Penalty - imprisonment, from 2 (two) to 4 (four) years, and a fine. ”
