International Journal of Business Management & Research - Volumes & Issues - Volume 13: June 2023, Issue 1

Bibliometric Analysis of Supply Chain Finance: A Systematic Review and Trend Analysis

Authors

Deepak Hajoay

DOI Number

Keywords

Supply Chain Finance, Buyer-Led Finance, Risk Management, Biblometric Analysis

Abstract

Supply chain finance (SCF) is critical for streamlining financial flows and increasing efficiency within complex supply chains. This study presents a comprehensive bibliometric analysis of the existing supply chain finance literature to identify key themes, influential authors, and emerging trends in the field. We examined various scholarly publications using bibliometric techniques, including document analysis, citation analysis, and co-author analysis. Our analysis shows that the field of supply chain finance has experienced steady growth in research output over the last decade, indicating its increasing importance in both academic and practical settings. The findings highlight several key research themes, including supplier finance, buyer-led finance, risk management, information technology applications, and sustainability issues within supply chain finance.

In addition, our study identifies key influential authors and research institutions that have made significant contributions to the field. Analysis of citation patterns reveals the most influential publications and journals in the field of supply chain finance. It reveals intellectual underpinnings and knowledge dissemination channels within the field. In addition, the co-author networks shed light on joint research efforts and new research clusters. Based on bibliometric analysis, we provide insights into the evolving trends and possible future directions of supply chain finance research. The results provide valuable guidance for researchers, practitioners, and policymakers seeking to deepen their understanding of supply chain finance dynamics, foster collaboration, and address critical challenges in this field. Overall, this bibliometric analysis contributes to the existing body of knowledge on supply chain finance by providing a comprehensive overview of the research landscape and by highlighting key areas. This study serves as a basis for future research efforts and facilitates the development of sound strategies to advance supply chain finance theory and practice.

References

• Bi, Z., Yang, F., Nguema, J. B. B. (2021). Does Supply Chain Finance Adoption Improve Organizational Per- formance? a Moderated And Mediated Model, JBIM, 3(37), 673-685. https://doi.org/10.1108/jbim-05-2020- 0228
• Bui, T., Ali, M. T., Tsai, F. C., Iranmanesh, M., Tseng, M., Lim, M. K. (2020). Challenges and Trends In Sus- tainable Corporate Finance: A Bibliometric Systemat- ic Review, JRFM, 11(13), 264.https://doi.org/10.3390/ jrfm13110264
• Chen, J., Sohal, A. S., Prajogo, D. I. (2013). Supply Chain Operational Risk Mitigation: a Collaborative Ap- proach, International Journal of Production Research, 7(51), 2186-2199. https://doi.org/10.1080/00207543.2 012.727490
• David, A., Wuttke., Constantin, B., H., Sebastian, H., Margarita, P.S. (2016). Supply chain finance: Opti- mal introduction and adoption decisions, Internation- al Journal of Production Economics, 178:72-81. doi: 10.1016/J.IJPE.2016.05.00
• David, A., Wuttke., Constantin, B., Kai, F., Michael, H. (2013). Managing the Innovation Adoption of Supply Chain Finance-Empirical Evidence From Six European Case Studies, Journal of Business Logistics, 34(2):148- 166. doi: 10.1111/JBL.12016
• Dong, L., Qiu, Y., Xu, F. (2022). Blockchain-enabled Deep-tier Supply Chain Finance. M &;SOM. https:// doi.org/10.1287/msom.2022.1123
• Eck, N. J. V., Waltman, L. (2009). Software Survey: Vosviewer, a Computer Program For Bibliometric Mapping, Scientometrics, 2(84), 523-538. https://doi. org/10.1007/s11192-009-0146-3
• Erik, H., Oliver, B. (2011). Supply chain finance solu- tions : relevance – propositions – market value. doi: 10.1007/978-3-642-17566-4
• Erik, H., Urs, Magnus, S., Nicola, B. (2017). Supply Chain Finance and Blockchain Technology: The Case of Reverse Securitisation.
• Hans-Christian, P., Moritz, G. (2009). Supply chain fi- nance: optimizing financial flows in supply chains, Lo- gistics Research, 1(3):149-161. doi: 10.1007/S12159- 009-0020-YCamerinelli, E. (2009). Supply chain finance, Journal of Payments Strategy and Systems, 3(2): 114-128.
• Huo, H., Xue, N. (2023). Financing the Three-tier Sup- ply Chain: Advance Payment Vs. Blockchain-enabled Financing Mode, Discrete Dynamics in Nature and Soci- ety, (2023), 1-14. https://doi.org/10.1155/2023/6554524 Godzien, J., de la Fuente, A.G., Otero, A., and Bar- bas, C. (2018).Metabolite annotation and identification, Comprehensive Analytical Chemistry, 82: 415-445. https://doi.org/10.1016/bs.coac.2018.07.004.
• Lima, Z., Arnd, H. (2018). Supply Chain Finance. 105- 119. doi: 10.1007/978-3-319-76663-8_6 Godzien, J., Fuente, A. d. l., Otero, A., Barbas, C. (2018).Metabolite Annotation and Identification, Com- prehensive Analytical Chemistry, 415-445. https://doi. org/10.1016/bs.coac.2018.07.004
• Li, L., Wang, Z., Chen, L., Zhao, X., Yang, S. (2023).
• Supply Chain Collaboration and Supply Chain Finance Adoption: The Moderating Role of Information Trans- parency And Transaction Dependence, SCM, 4(28), 710-723. https://doi.org/10.1108/scm-04-2022-0169 Li, X., Yan, J., Cheng, J., Li, J. (2023). Supply-chain Finance and Investment Efficiency: The Perspective Of Sustainable Development, Sustainability, 10(15), 7857. https://doi.org/10.3390/su15107857
• Li, M., Fu, Y. (2022). Prediction Of Supply Chain Fi- nancial Credit Risk Based On Pca-ga-svm Model, Sustainability, 24(14), 16376.https://doi.org/10.3390/ su142416376
• Luca, Mattia, G., Riccardo, M., Alessandro, P., Ange- la, T. (2016). Supply chain finance: a literature review, International Journal of Physical Distribution & Lo- gistics Management, 46(4):348-366. doi: 10.1108/IJP- DLM-08-2014-0173
• Misini, A., Kadriu, A. (2022). A Survey On Authorship Analysis Tasks and Techniques, SEEU Review, 2(17), 153-167. https://doi.org/10.2478/seeur-2022-0100 More,
• D., & Basu, P. (2013). Challenges of supply chain finance: A detailed study and a hierarchical mod- el based on the experiences of an Indian firm, Busi- ness Process Management Journal, 19(4):624-647. doi: 10.1108/BPMJ-09-2012-0093
• Deng, S., Gu, C., Cai, G., Li, Y. (2018). Financing Mul- tiple Heterogeneous Suppliers In Assembly Systems: Buyer Finance Vs. Bank Finance, MSOM, 1(20), 53-69. https://doi.org/10.1287/msom.2017.0677
• Ming-Lang, T., Kuo-Jui, Wu., Jiayao, H., Chin-Hsin, W. (2018). Decision-making model for sustainable supply chain finance under uncertainties, Internation- al Journal of Production Economics, 205:30-36. doi: 10.1016/J.IJPE.2018.08.024
• Obaid, H. S., G-Nahr, j., Nozari, H. (2022). Examining Dimensions and Components And Application Of Sup- ply Chain Financing (In Chain Stores), IJIMES, 4(2), 81-88. https://doi.org/10.52547/ijimes.2.4.81
• Olan, F., Liu, S., Suklan, J., Jayawickrama, U., Arakpo- gun, E. O. (2021). The Role Of Artificial Intelligence Networks In Sustainable Supply Chain Finance For Food and Drink Industry, International Journal of Pro- duction Research, 14(60), 4418-4433. https://doi.org/1 0.1080/00207543.2021.1915510
• Osareh, F., Zahabi, S. S., Akbarzadeh, F. (2022). Co-au- thorship Network Analysis Of Medical Images Re- searchers With Emphasis On Micro and Macro Metrics, J Clin Res Paramed Sci, 2(11).https://doi.org/10.5812/ jcrps-131621
• Ping, H., Hongjian, Y. (2018). Research On Supply Chain Service Innovation Based On B2c E-commerce Platform In Information Ecology. 2018 4th Internation- al Conference on Education Training, Management and Humanities Science (ETMHS 2018).https://doi. org/10.23977/etmhs.2018.29104
• Pritchard, A. (1969). Statistical bibliography or biblio- metrics, Journal of Documentation, 25(4): 348-349.
• Saher, L., Syhyda, L., Korobets, O., Berezianko, T. (2021). Closed-loop supply chain: a bibliometric And Visualization analysis, E3S Web Conf., (234), 00011. https://doi.org/10.1051/e3sconf/202123400011
• Sang, N. (2022). A bibliometric analysis Of the supply chain Finance Research, Int. J. Adv. Appl. Sci., 1(9), 84-90. https://doi.org/10.21833/ijaas.2022.01.010 Suharmono, M., Alexandri, M., Sumadinata, R., Muhyi, H. (2022). Outsourcing In supply chain: a bibliometric analysis. 10.5267/j.uscm, 4(10), 1501-1508. https://doi. org/10.5267/j.uscm.2022.6.006
• Su, Y., Zhong, B. (2017). Supply Chain Finance Deci- sion Analysis With a Partial Credit Guarantee Contract, JAMP, 06(05), 1355-1369. https://doi.org/10.4236/ jamp.2017.56112
• Van Eck, N.J.; Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric map- ping, Scientometrics, 84,523–538.
• Wen, W., Ma, J., Liu, S., Wen, Q., Yu, Q., Ren, Z. (2022). Research On Financial Innovation Of Logistics Supply Chain Under Blockchain Technology, Atlantis Highlights in Intelligent Systems, 308-316. https://doi. org/10.2991/978-94-6463-030-5_32
• Wuttke, D. A., Rosenzweig, E. D., Heese, H. (2019). An Empirical Analysis Of Supply Chain Finance Adop- tion, Jrnl of Ops Management, 3(65), 242-261. https:// doi.org/10.1002/joom.1023
• Xinhan, Xu., Xiangfeng, Chen., Fu, Jia., Stephen, Brown., Yu, Gong., Yifan, Xu. (2018). Supply chain fi- nance: A systematic literature review and bibliometric analysis, International Journal of Production Econom- ics, 204:160-173. doi: 10.1016/J.IJPE.2018.08.003
• You, Zhu., Li, Zhou., Chi, Xie., Chi, Xie., Gang-Jin, Wang., Gang-Jin, Wang., Gang-Jin, Wang., Truong, Van, Nguyen. (2019). Forecasting SMEs’ credit risk in supply chain finance with an enhanced hybrid ensem- ble machine learning approach, International Journal of Production Economics, 211:22-33. doi: 10.1016/J. IJPE.2019.01.032
• Zhu, Y., Zhou, L., Xie, C., Wang, G., Nguyen, T. Q. (2019). Forecasting Smes’ Credit Risk In Supply Chain Finance With An Enhanced Hybrid Ensemble Machine Learning Approach, International Journal of Produc- tion Economics, (211), 22-33. https://doi.org/10.1016/j. ijpe.2019.01.032
• Zidi, S., Hamani, N., Kermad, L. (2021). Reconfigu- rable supply chain Performance: a bibliometric anal- ysis., 161-169. https://doi.org/10.1007/978-3-030- 85969-5_14.

How to cite

Journal

International Journal of Business Management & Research

ISSN

2249-2143

Periodicity

Bi-Annual