Digital technologies, including blockchain, artificial intelligence (AI), and big data, are revolutionizing supply chain finance (SCF), especially for Chinese SMEs. This study conducts a systematic literature review from 2020 to 2024 using the PRISMA method to evaluate the impact of these technologies on SCF performance. A total of 81 articles from Scopus, Web of Science, and CNKI were analyzed. The results show that digital technologies significantly improve SCF by reducing information asymmetry, enhancing SMEs' credit quality, strengthening supply chain coordination, lowering transaction costs, and minimizing financial risks. Blockchain technology boosts transparency and data security, AI refines the decision-making process for financing, and big data analytics enhances forecasting accuracy for market demand and financial risks. To further advance SCF, both government policy support and digital infrastructure improvements are needed, while SMEs should accelerate their digital transformation efforts. Future research should prioritize reducing the costs of implementing digital technologies while maximizing their benefits, and should also investigate the expanding role of AI in driving SCF efficiency and innovation. Expanding empirical studies will provide a deeper understanding of how these technologies can be best utilized to enhance SCF performance.
Ali, Z. (2024). Measuring supply chain finance: A study of scale development and validation in the emerging market context. Journal of Business and Industrial Marketing. Scopus. https://doi.org/10.1108/JBIM-07-2023-0427
Argyropoulou, M., Garcia, E., Nemati, S., & Spanaki, K. (2024). The effect of IoT capability on supply chain integration and firm performance: An empirical study in the UK retail industry. Journal of Enterprise Information Management, 37(3), 875–902. Scopus. https://doi.org/10.1108/JEIM-06-2022-0219
Banerjee, A., Lücker, F., & Ries, J. (2021). An empirical analysis of suppliers’ trade-off behaviour in adopting digital supply chain financing solutions. INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT, 41(4), 313–335. https://doi.org/10.1108/IJOPM-07-2020-0495
Baziyad, H., Kayvanfar, V., & Kinra, A. (2024). A bibliometric analysis of data-driven technologies in digital supply chains. Supply Chain Analytics, 6. Scopus. https://doi.org/10.1016/j.sca.2024.100067
Boakye, E., Zhao, H., Coffie, C., & Asare-Kyire, L. (2024). Seizing technological advancement; determinants of blockchain supply chain finance adoption in Ghanaian SMEs. TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT, 36(10), 2774–2790. https://doi.org/10.1080/09537325.2022.2163384
Cen, B. (2023). An Empirical Study on the Impact of Supply Chain Finance on the Cost and Performance of Automobile Enterprises. 151–159. Scopus. https://doi.org/10.1145/3624875.3624900
Chen, J., Chen, S., Liu, Q., & Shen, M. (2021). APPLYING BLOCKCHAIN TECHNOLOGY TO RESHAPE THE SERVICE MODELS OF SUPPLY CHAIN FINANCE FOR SMES IN CHINA. SINGAPORE ECONOMIC REVIEW. https://doi.org/10.1142/S0217590821480015
Deng, L., Li, Y., Wang, S., & Luo, J. (2023). The impact of blockchain on optimal incentive contracts for online supply chain finance. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 30(5), 12466–12494. https://doi.org/10.1007/s11356-022-22498-8
Feng, Q. (2023). Supply chain financial credit evaluation mechanism under the background of big data. OPTIK, 272. https://doi.org/10.1016/j.ijleo.2022.170266
Figueiredo, R., Camargo, M., Ferreira, J., Zhang, J., & Liu, Y. (2023). Predicting the Intention to Adopt Innovation in Supply Chain Finance: Determinants of Brazilian FinTech. JOURNAL OF ORGANIZATIONAL AND END USER COMPUTING, 35(2). https://doi.org/10.4018/JOEUC.333689
Guo, J., Jia, F., Yan, F., & Chen, L. (2024). E-commerce supply chain finance for SMEs: The role of green innovation. International Journal of Logistics Research and Applications, 27(9), 1596–1615. https://doi.org/10.1080/13675567.2023.2167959
Han, S., Ulhoi, J., & Song, H. (2024). Digital trust in supply chain finance: The role of innovative fintech service provision. JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT. https://doi.org/10.1108/JEIM-07-2022-0238
Hong, Y., & Qin, C. (2024). Game Analysis of the Behavior of Participants in Green Supply Chain Finance Based on Digital Technology Platforms. COMPUTATIONAL ECONOMICS. https://doi.org/10.1007/s10614-024-10667-5
Hung, J.-L., He, W., & Shen, J. (2020). Big data analytics for supply chain relationship in banking. Industrial Marketing Management, 86, 144–153. Scopus. https://doi.org/10.1016/j.indmarman.2019.11.001
Jiang, C., Wang, F., Zhou, M., Nandi, A., & Liu, G. (2024). Guest Editorial: Special Issue on Big Data and Computational Social Intelligence for Guaranteed Financial Security. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 11(2), 1551–1555. https://doi.org/10.1109/TCSS.2024.3373929
Joshi, P. V., Sarkar, B. D., & Choubey, V. M. (2024). An integrated approach for modeling critical success factors for supply chain finance ecosystem. Journal of Modelling in Management, 19(4), 1262–1290. Scopus. https://doi.org/10.1108/JM2-01-2023-0007
Kaur, J., Kumar, S., Narkhede, B., Dabic, M., Rathore, A., & Joshi, R. (2024). Barriers to blockchain adoption for supply chain finance: The case of Indian SMEs. ELECTRONIC COMMERCE RESEARCH, 24(1), 303–340. https://doi.org/10.1007/s10660-022-09566-4
Kucukaltan, B., Kamasak, R., Yalcinkaya, B., & Irani, Z. (2022). Investigating the themes in supply chain finance: The emergence of blockchain as a disruptive technology. International Journal of Production Research. Scopus. https://doi.org/10.1080/00207543.2022.2118886
Li, Q. (2023). Assistance of Internet of Things to Intelligent Business Management Model of Supply Chain Finance and Modern Logistics Enterprises. INTERNATIONAL JOURNAL OF DATA WAREHOUSING AND MINING, 19(4). https://doi.org/10.4018/IJDWM.323189
Li, Y., Su, J., & Xiao, D. (2022). Supply Chain Financial Risk Management under the Background of Wireless Multimedia Communication and Artificial Intelligence. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022. https://doi.org/10.1155/2022/9611699
Liu, L. (2022). Research on the Operation of Agricultural Products E-Commerce Platform Based on Cloud Computing. MATHEMATICAL PROBLEMS IN ENGINEERING, 2022. https://doi.org/10.1155/2022/8489903
Liu, L., Li, Y., & Jiang, T. (2023). Optimal strategies for financing a three-level supply chain through blockchain platform finance. International Journal of Production Research, 61(11), 3564–3581. Scopus. https://doi.org/10.1080/00207543.2021.2001601
Liu, L., Zhang, J., He, W., & Li, W. (2021). Mitigating information asymmetry in inventory pledge financing through the Internet of things and blockchain. JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT, 34(5), 1429–1451. https://doi.org/10.1108/JEIM-12-2020-0510
Lu, Q., Jiang, Y., & Wang, Y. (2024a). How can digital technology deployment empower supply chain financing? A resource orchestration perspective. Supply Chain Management: An International Journal, 29(4), 804–819. https://doi.org/10.1108/SCM-10-2023-0504
Lu, Q., Jiang, Y., & Wang, Y. (2024b). How can digital technology deployment empower supply chain financing? A resource orchestration perspective. SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL, 29(4), 804–819. https://doi.org/10.1108/SCM-10-2023-0504
Lu, Q., Wang, X., & Wang, Y. (2023). Enhancing supply chain resilience with supply chain governance and finance: The enabling role of digital technology adoption. BUSINESS PROCESS MANAGEMENT JOURNAL, 29(4), 944–964. https://doi.org/10.1108/BPMJ-11-2022-0601
Luo, S., Xing, M., & Zhao, J. (2022). Construction of Artificial Intelligence Application Model for Supply Chain Financial Risk Assessment. SCIENTIFIC PROGRAMMING, 2022. https://doi.org/10.1155/2022/4194576
Mao, J., Xie, J., Gao, Y., Tang, Q., Li, Z., & Zhang, B. (2024). Navigating Growth: The Nexus of Supply Chain Finance, Digital Maturity, and Financial Health in Chinese A-Share Listed Corporations. SUSTAINABILITY, 16(13). https://doi.org/10.3390/su16135418
Miller, T., Cao, S., Foth, M., Boyen, X., & Powell, W. (2023). An asset-backed decentralised finance instrument for food supply chains—A case study from the livestock export industry. COMPUTERS IN INDUSTRY, 147. https://doi.org/10.1016/j.compind.2023.103863
Mohamed Shaffril, H.A., Samsuddin, S.F. and Abu Samah, A. (2020), “The ABC of systematic literature review: the basic methodological guidance for beginners”, Quality and Quantity, Vol. 55 No. 4, pp. 1319-1346.
Nuseir, M. T., Ahmad, A., Alquqa, E. K., Alzoubi, H. M., Al Kurdi, B., & Alshurideh, M. T. (2024). Impact of Supply Chain Resilience on Competitiveness with the Mediating Role of Supply Chain Capabilities: Empirical Evidence from the UAE Electronics Industry. Studies in Big Data, 117, 129–149. Scopus. https://doi.org/10.1007/978-3-031-31801-6_8
Olan, F., Arakpogun, E., Jayawickrama, U., Suklan, J., & Liu, S. (2024). Sustainable Supply Chain Finance and Supply Networks: The Role of Artificial Intelligence. IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 71, 13296–13311. https://doi.org/10.1109/TEM.2021.3133104
Olan, F., Liu, S., Suklan, J., Jayawickrama, U., & Arakpogun, E. (2022). The role of Artificial Intelligence networks in sustainable supply chain finance for food and drink industry. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 60(14), 4418–4433. https://doi.org/10.1080/00207543.2021.1915510
Page, M.J.,McKenzie, J.E.,Bossuyt, P.M.,Boutron, I.,Hoffmann, T.C.,Mulrow, C.D., ... Moher, D.(2021). ThePRISMA 2020 statement: anupdated guideline for reporting systematic reviews. BMJ, 372,71.https://doi.org/10.1136/bmj.n71
Rao, Q., & Li, W. (2022a). Risk Evaluation and Forecast Behavior Analysis of Supply Chain Financing Based on Blockchain. Wireless Communications and Mobile Computing, 2022, 1–11. https://doi.org/10.1155/2022/7668474
Rao, Q., & Li, W. (2022b). Risk Evaluation and Forecast Behavior Analysis of Supply Chain Financing Based on Blockchain. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022. https://doi.org/10.1155/2022/7668474
Ronchini, A., Guida, M., Moretto, A., & Caniato, F. (2024). The role of artificial intelligence in the supply chain finance innovation process. OPERATIONS MANAGEMENT RESEARCH. https://doi.org/10.1007/s12063-024-00492-2
Shu, C., Chen, Y., Tan, C., Luo, Y., & Dou, H. (2024). Enhancing trust transfer in supply chain finance: A blockchain-based transitive trust model. JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS, 13(1). https://doi.org/10.1186/s13677-023-00557-w
Song, H., Han, S., Liu, W., & Ganguly, A. (2023). What role do FinTech companies play in supply chain finance? A signaling intermediary perspective. JOURNAL OF BUSINESS & INDUSTRIAL MARKETING, 38(6), 1279–1294. https://doi.org/10.1108/JBIM-12-2021-0587
Song, H., Li, M., & Yu, K. (2021). Big data analytics in digital platforms: How do financial service providers customise supply chain finance? INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT, 41(4), 410–435. https://doi.org/10.1108/IJOPM-07-2020-0485
Soni, G., Kumar, S., Mahto, R., Mangla, S., Mittal, M., & Lim, W. (2022). A decision-making framework for Industry 4.0 technology implementation: The case of FinTech and sustainable supply chain finance for SMEs. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 180. https://doi.org/10.1016/j.techfore.2022.121686
Sun, X., Wang, Y., Huang, Y., & Zhang, Y. (2024). How to Reshape the Selection Boundaries between Traditional and Digital Supply Chain Finance Based on the Pledge Rate and Default Loss: Two Tripartite Game Models. SYSTEMS, 12(7). https://doi.org/10.3390/systems12070253
Tang, Q., Wu, B., Chen, W., & Yue, J. (2023). A Digital Twin-Assisted Collaborative Capability Optimization Model for Smart Manufacturing System Based on Elman-IVIF-TOPSIS. IEEE Access, 11, 40540–40564. Scopus. https://doi.org/10.1109/ACCESS.2023.3269577
Tian, K., Zhuang, X., & Yu, B. (2021). The Incentive and Supervision Mechanism of Banks on Third-Party B2B Platforms in Online Supply Chain Finance Using Big Data. MOBILE INFORMATION SYSTEMS, 2021. https://doi.org/10.1155/2021/9943719
Tseng, M., Bui, T., Lim, M., Tsai, F., & Tan, R. (2021). Comparing world regional sustainable supply chain finance using big data analytics: A bibliometric analysis. INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 121(3), 657–700. https://doi.org/10.1108/IMDS-09-2020-0521
Wang, F., Ding, L., Yu, H., & Zhao, Y. (2020). Big data analytics on enterprise credit risk evaluation of e-Business platform. INFORMATION SYSTEMS AND E-BUSINESS MANAGEMENT, 18(3), 311–350. https://doi.org/10.1007/s10257-019-00414-x
Wang, S., Yu, H., & Wei, M. (2023a). The effect of supply chain finance on sustainability performance: Empirical analysis and fsQCA. Journal of Business & Industrial Marketing, 38(11), 2294–2309. https://doi.org/10.1108/JBIM-03-2022-0154
Wang, S., Yu, H., & Wei, M. (2023b). The effect of supply chain finance on sustainability performance: Empirical analysis and fsQCA. JOURNAL OF BUSINESS & INDUSTRIAL MARKETING, 38(11), 2294–2309. https://doi.org/10.1108/JBIM-03-2022-0154
Wang, S., Zhang, X., Tan, Y., Peng, J., & Shang, Z. (2024). The digital economy and supply chain finance: Toward performance booster. INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS. https://doi.org/10.1080/13675567.2024.2355950
Wang, S., Zhou, M., & Xiang, S. (2024). Blockchain-Enabled Utility Optimization for Supply Chain Finance: An Evolutionary Game and Smart Contract Based Approach. MATHEMATICS, 12(8). https://doi.org/10.3390/math12081243
Wang, T., & Song, T. (2023). Application of Financial Big Data Analysis Method Based on Collaborative Filtering Algorithm in Supply Chain Enterprises. INTERNATIONAL JOURNAL OF COOPERATIVE INFORMATION SYSTEMS. https://doi.org/10.1142/S0218843023500223
Wang, Y., Wang, T., & Wang, Q. (2024). The impact of digital transformation on enterprise performance: An empirical analysis based on China’s manufacturing export enterprises. PLoS ONE, 19(3 March). Scopus. https://doi.org/10.1371/journal.pone.0299723
Yang, K., Shi, Y., Zhou, Y., Yang, Z., Fu, L., & Chen, W. (2020). Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface. IEEE Network, 34(5), 16–22. Scopus. https://doi.org/10.1109/MNET.011.2000045
Yu, W., Wong, C., Chavez, R., & Jacobs, M. (2021). Integrating big data analytics into supply chain finance: The roles of information processing and data-driven culture. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 236. https://doi.org/10.1016/j.ijpe.2021.108135
Yu, Y., Huang, G., & Guo, X. (2021). Financing strategy analysis for a multi-sided platform with blockchain technology. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 59(15), 4513–4532. https://doi.org/10.1080/00207543.2020.1766718
Zhan, J., Zhang, G., Chong, H., & Chen, X. (2024). Blockchain and Supply-Chain Financing: An Evolutionary Game Approach with Guarantee Considerations. JOURNAL OF THEORETICAL AND APPLIED ELECTRONIC COMMERCE RESEARCH, 19(2), 1616–1636. https://doi.org/10.3390/jtaer19020079
Zhang, Q., Yang, D., & Qin, J. (2023). Multi-Party Evolutionary Game Analysis of Accounts Receivable Financing under the Application of Central Bank Digital Currency. JOURNAL OF THEORETICAL AND APPLIED ELECTRONIC COMMERCE RESEARCH, 18(1), 394–415. https://doi.org/10.3390/jtaer18010021
Zhou, H., Sun, G., Fu, S., Fan, X., Jiang, W., Hu, S., & Li, L. (2020). A Distributed Approach of Big Data Mining for Financial Fraud Detection in a Supply Chain. CMC-COMPUTERS MATERIALS & CONTINUA, 64(2), 1091–1105. https://doi.org/10.32604/cmc.2020.09834
Jia, W., Shafie, N. A., & Kasim, E. S. (2025). The Impact of Digital Technology on Supply Chain Finance Performance of Chinese SMEs - A Systematic Literature Review. International Journal of Academic Research in Business and Social Sciences, 15(1), 1729–1749.
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