Investigating the relationship between supply chain finance and supply chain collaborative factors

ZAMAN, Syed Imran, KHAN, Sharfuddin Ahmed and KUSI-SARPONG, Simonov (2023). Investigating the relationship between supply chain finance and supply chain collaborative factors. Benchmarking: An International Journal.

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Abstract

Purpose It is important to understand the factors that are significant in supply chain (SC) collaboration decision making and whether supply chain collaborative factors that are considered in the literature are still valid. To date, SC collaboration has not been extensively studied in the literature with supply chain finance (SCF) factors to evaluate SCF performance. Therefore, in this paper, the authors investigate the interrelationships between SCF and supply chain collaborative (SCC) factors for achieving SCF performance. The authors identified the most important factors from the literature on SCF and SCC and with inputs from experts in the textile industry in Pakistan. Design/methodology/approach The authors employed the Gray-Decision Making Trial and Evaluation Laboratory approach to help examine the cause-and-effect relationship between the factors and identify the influence of each factor on the others. Findings The findings showed that the most prominent factors of the study are “level of digitalization”, “information sharing”, and “collaborative communication”, and “most effect factors of this study are incentive alignment” and “information quality”. Furthermore, the “Level of digitalization” was identified as the factor with the central role and most significant correlation with other factors. Research limitations/implications The major implication of the study is that textile industries should effectively develop their supply chain decisions after analyzing their internal and external factors, which will help in developing strategies that will facilitate better management of SCF relationships. The limitations of the study are that only 15 SCF and supply chain collaborative factors were considered, and time and scope are also limited. This study is only applied in the textile industry, so generalization may be limited. Originality/value To date, this study is the only one that has taken into consideration SCC with SCF factors to evaluate supply chain performance. This paper therefore makes this initial attempt and original contribution to this discussion, which can be helpful for those working to enhance supply chain performance, such as practitioners and policymakers.

Item Type:	Article
Uncontrolled Keywords:	0104 Statistics; 0803 Computer Software; 1503 Business and Management; Business & Management; 3503 Business systems in context; 3507 Strategy, management and organisational behaviour
Identification Number:	https://doi.org/10.1108/bij-05-2022-0295
SWORD Depositor:	Symplectic Elements
Depositing User:	Symplectic Elements
Date Deposited:	02 Oct 2023 13:38
Last Modified:	11 Oct 2023 11:16
URI:	https://shura.shu.ac.uk/id/eprint/32457

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