Supply chain finance: A systematic literature review and bibliometric analysis
By Xin Xu, Xiangfeng Chen, F. Jia, Steve Brown, Yu Gong, Yifan Xu. International Journal of Production Economics, 2018
663 citations recorded by the source corpus.
Abstract Supply Chain Finance (SCF) is an effective method to lower financing costs and improve financing efficiency and effectiveness, and it has gained research momentum in recent years. This paper adopts a systematic literature review methodology combined with bibliometric, network and content analysis based on 348 papers identified from mainstream academic databases. This review provides insights not previously fully captured or evaluated by other reviews on this topic, including key authors, key journals and the prestige of the reviewed papers. Using rigorous bibliometric and visualisation tools, we identified four research clusters, including deteriorating inventory models under trade credit policy based on the EOQ/EPQ model; inventory decisions with trade credit policy under more complex situations; interaction between replenishment decisions and delay payment strategies in the supply chain and roles of financing service in the supply chain. Based on the clusters identified, we carried out a further content analysis of 112 papers, identifying research gaps and proposing seven actionable directions for future research. The findings provide a robust roadmap for further investigation in this field.
Subfields: Accounting, Management Information Systems, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/393cd7698e33b947f98f10ccdd3013667a294fea
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Accounting
In Management Information Systems
- S. C. Lenny Koh
- Stefan Seuring
- Song Xu
- Xiaotong Zhang
- Wenting Yang
- Mehrdokht Pournader
- Li Zhou
- Yangyan Shi
In Strategy and Management
- Li Zhou
- Truong Van Nguyen
- S. C. Lenny Koh
- Stefan Seuring
- Song Xu
- Xiaotong Zhang
- Wenting Yang
- Mehrdokht Pournader
Citations in the corpus
- Blockchain applications in supply chains, transport and logistics: a systematic review of the literature (2019, methodology): “The adoption of PageRank analysis for co-citation analysis is increasing and widespread among researchers in the field of supply chain, logistics and transport management (Fahimnia et al. 2015; Fahimnia, Sarkis, and Davarzani 2015; Xu et al. 2018; Davarzani et al. 2016).”
- Disruption risks in supply chain management: a literature review based on bibliometric analysis (2020, methodology): “Given that the network of web pages is similar to the citation network of the 1,310 publications, it is popular to employ the PageRank algorithm to find out publications with high popularity and prestige (e.g. Xu et al. 2018; Fahimnia, Sarkis, and Davarzani 2015).”
- Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach (2019, background): “SCF has also attracted increasing attention from academia in recent years (Xu et al., 2018).”
- Financial literacy: A systematic review and bibliometric analysis (2020, neutral): “Additionally, co-citation for clustering, keyword analysis, page rank analysis and content analysis are also used (Xu et al., 2018).”