ISSN: 2222-6990
Open access
Supply chain finance has received global concern as a research focus in recent years, which plays an important role in alleviating capital shortage of SMEs and optimizing capital flow in supply chain. Although the existing literature has explored supply chain finance from a variety of theories and subject perspectives, the vigorous development of supply chain finance practice has provided a numerous topic to be studied for the academic community. Therefore, the paper is to investigate the research direction and classification in the field of supply chain finance and bride this gap in the literature. R software was adopted as bibliometric analysis tools in this paper to obtain a comprehensive overview of supply chain finance and grasp the current research emphases. The Web of Science core collection database was used as the primary source for data collection. The data were collected from 380 articles published from 1997 to 2021. Finally, the paper draw conclusions based on publication years, authors, sources, countries, topics and keywords, and finds out the development status and research hotspots of the supply chain finance research field. It is expected that the conclusions from this study provide a better perspective on the future research direction and mining the underling opportunities for applying the theory to the practical financial management.
Agarwal, A., Durairajanayagam, D., Tatagari, S., Esteves, S. C., Harlev, A., Henkel, R., Ramasamy, R. J. A. J. O. A. (2016). Bibliometrics: tracking research impact by selecting the appropriate metrics. Asian Journal of Andrology,18(2), 296.
Börner, K., Theriault, T. N., Boyack, K. W. J. B. O. T. A. F. I. S., & Technology. (2015). Mapping science introduction: Past, present and future. Mapping Science, 41(2), 12-16.
Camerinelli, E. J. J. O. P. S., & Systems. (2009). Supply chain finance. Journal of Payments Strategy & Systems, 3(2), 114-128.
Chen, L. J., Chan, H. K., & Zhao, X. D. (2020). Supply chain finance: Latest research topics and research opportunities. International Journal of Production Economics, 229, 7.
Cobo, M. J., López?Herrera, A. G., Herrera?Viedma, E., Herrera, F. J. J. O. T. A. S. F. I. S., & Technology. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382-1402.
Ebrahim, S. A., Ashtari, A., Pedram, M. Z., Ebrahim, N. A., & Sanati-Nezhad, A. J. I. J. O. N. (2020). Publication Trends in Exosomes Nanoparticles for Cancer Detection. International Journal of Nanomedicine,15, 4453.
Garfield, E. J. J. O. I. (2009). From the science of science to Scientometrics visualizing the history of science with HistCite software. 11th International Conference of the International Society for Scientometrics and Informetrics, 3(3), 173-179.
Guo, Y.-M., Huang, Z.-L., Guo, J., Guo, X.-R., Li, H., Liu, M.-Y, Nkeli, M. J. J. F. G. C. S. (2021). A bibliometric analysis and visualization of blockchain. Future Generation Computer Systems, 116, 316-332.
Lamoureux, J.-F., & Evans, T. A. J. A. A. S. (2011). Supply chain finance: a new means to support the competitiveness and resilience of global value chains. Available at SSRN 2179944.
Li, X. B., Jiang, B., & Li, J. (2020). Adoption of supply chain finance by small and medium enterprises in China. Business Process Management Journal, 19.
Liu, X. H., Zhou, L. G., & Wu, Y. C. J. (2015). Supply Chain Finance in China: Business Innovation and Theory Development. Sustainability, 7(11), 14689-14709.
López-Robles, J. R., Otegi-Olaso, J. R., Gómez, P. I., & Cobo, M. J. (2019). 30 years of intelligence models in management and business: A bibliometric review. International Journal of Information Management, 48, 22-38.
Mirabelli, G., & Solina, V. J. P. M. (2020). Blockchain and agricultural supply chains traceability: research trends and future challenges. Procedia Manufacturing, 42, 414-421.
More, D., & Basu, P. J. B. P. M. J. (2013). Challenges of supply chain finance: A detailed study and a hierarchical model based on the experiences of an Indian firm. Business Process Management Journal
Song, H., Li, M. Y., & Yu, K. 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.
Wang, Z. Q., Wang, Q., Lai, Y., & Liang, C. J. (2020). Drivers and outcomes of supply chain finance adoption: An empirical investigation in China. International Journal of Production Economics, 220, 9.
Zhang, L., Hu, H. Q., & Zhang, D. (2015). A credit risk assessment model based on SVM for small and medium enterprises in supply chain finance. Financial Innovation, 1(1), 21.
In-Text Citation: (Ping & Salleh, 2022)
To Cite this Article: Ping, X., & Salleh, M. I. bin. (2022). Bibliometric Analysis of Publication Trends in Supply Chain Finance. International Journal of Academic Research in Business and Social Sciences, 12(4), 46–60.
Copyright: © 2022 The Author(s)
Published by Human Resource Management Academic Research Society (www.hrmars.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non0-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode