Supply Chain Finance: A systematic literature review and bibliometric analysis

Xinhan Xu; Xiangfeng Chen; Fu Jia; Steve Brown; Yu Gong; Yifan Xu

doi:10.1016/j.ijpe.2018.08.003

Supply Chain Finance: A systematic literature review and bibliometric analysis

Xinhan Xu, Xiangfeng Chen, Fu Jia^*, Steve Brown, Yu Gong, Yifan Xu

^*Corresponding author for this work

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Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	160
Number of pages	173
Journal	International Journal of Production Economics
Volume	204
DOIs	https://doi.org/10.1016/j.ijpe.2018.08.003
Publication status	Published - 11 Aug 2018

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10.1016/j.ijpe.2018.08.003

Cite this

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title = "Supply Chain Finance: A systematic literature review and bibliometric analysis",

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.",

author = "Xinhan Xu and Xiangfeng Chen and Fu Jia and Steve Brown and Yu Gong and Yifan Xu",

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AU - Xu, Xinhan

AU - Chen, Xiangfeng

AU - Jia, Fu

AU - Brown, Steve

AU - Gong, Yu

AU - Xu, Yifan

PY - 2018/8/11

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AB - 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.

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