Bibliometric Analysis on SCF Adoption: A Key to Growth for Cross-Border E-Commerce SMEs
PDF

Keywords

Cross-border e-commerce
SMEs
SCF

How to Cite

Huang, Q. (2024). Bibliometric Analysis on SCF Adoption: A Key to Growth for Cross-Border E-Commerce SMEs. International Theory and Practice in Humanities and Social Sciences, 1(1), 121–129. https://doi.org/10.70693/itphss.v1i1.56
Received 2024-10-13
Accepted 2024-10-20
Published 2024-11-06

Abstract

Despite the growing importance of Supply Chain Finance (SCF) for cross-border e-commerce SMEs, research on their adoption factors remains scarce. This study analyses 257 publications to bridge this gap. Findings reveal a rapidly growing field with China leading in both research and adoption. Performance, management, and impact are central themes, while blockchain and online SCF platforms emerge as trends. Future research directions include investigating blockchain's impact on risks, understanding the role of e-retailer platforms, and analysing specific challenges faced by cross-border e-commerce SMEs. This research highlights the increasing importance of SCF and identifies key areas for further exploration to optimize its benefits for this crucial sector.

https://doi.org/10.70693/itphss.v1i1.56
PDF

References

Caballero-Morales, S.-O. 2021. “Innovation as Recovery Strategy for SMEs in Emerging Economies during the COVID-19 Pandemic,” Research in International Business and Finance (57), p. 101396. (https://doi.org/10.1016/j.ribaf.2021.101396).

Thun, J.-H., Drüke, M., and Hoenig, D. 2011. “Managing Uncertainty – an Empirical Analysis of Supply Chain Risk Management in Small and Medium-Sized Enterprises,” International Journal of Production Research (49:18), pp. 5511–5525. (https://doi.org/10.1080/00207543.2011.563901).

Wong, L.-W., Leong, L.-Y., Hew, J.-J., Tan, G. W.-H., and Ooi, K.-B. 2020. “Time to Seize the Digital Evolution: Adoption of Blockchain in Operations and Supply Chain Management among Malaysian SMEs,” International Journal of Information Management (52), p. 101997. (https://doi.org/10.1016/j.ijinfomgt.2019.08.005).

Xiao, P., Salleh, M. I., Zaidan, B. B., and Xuelan, Y. 2023. “Research on Risk Assessment of Blockchain-Driven Supply Chain Finance: A Systematic Review,” Computers & Industrial Engineering (176), p. 108990. (https://doi.org/10.1016/j.cie.2023.108990).

Yan, N., Liu, Y., Xu, X., and He, X. 2020. “Strategic Dual-Channel Pricing Games with e-Retailer Finance,” European Journal of Operational Research (283:1), pp. 138–151. (https://doi.org/10.1016/j.ejor.2019.10.046).

Zhu, Y., Xie, C., Wang, G.-J., and Yan, X.-G. 2017. “Comparison of Individual, Ensemble and Integrated Ensemble Machine Learning Methods to Predict China’s SME Credit Risk in Supply Chain Finance,” Neural Computing and Applications (28:S1), pp. 41–50. (https://doi.org/10.1007/s00521-016-2304-x).

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Copyright (c) 2024 Qiuchen Huang

Downloads

Download data is not yet available.