Exploring the knowledge development trajectories of the supply chain finance domain: a main path analysis

Abstract

Purpose

Supply chain finance (SCF), which is able to manage financial flows along the supply chains effectively, has received wide attention from all over the world. Faced with the increasing number of outputs, the purpose of this paper is to investigate the SCF development over the past decades effectively, including the hot topics, knowledge diffusion trajectories and structure.

Design/methodology/approach

This paper adopts the keyword co-occurrence cluster and main path analysis (MPA) including four types of main paths, studying the historical development of SCF based on 2,233 papers retrieved from Web of Science during 1970–2019.

Findings

The results show that: (1) the research focuses on several aspects, including trade credit, supply chain management, procurement, health financing and sustainability, etc. and (2) trade credit financing has been the mainstream and the research focus has shifted from one-level trade credit to two-level trade credit. Recently, there is a trend to use game-theoretic models to find the best solutions for members in the supply chain.

Originality/value

This paper addresses the need to investigate the knowledge evolution in the SCF domain. It provides a framework to study the knowledge diffusion trajectories and structure, which helps scholars to handle thousands of papers effectively and deepen their understanding of the history, present and future trends of SCF development.

Citation

Yu, D. and Sheng, L. (2021), "Exploring the knowledge development trajectories of the supply chain finance domain: a main path analysis", The International Journal of Logistics Management, Vol. 32 No. 4, pp. 1315-1333. https://doi.org/10.1108/IJLM-05-2020-0207