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

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

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.

Collaborative factors, Gray-DEMATEL, Relationship, Supply chain collaboration, Supply chain finance, Supply chain performance
1463-5771
Zaman, Syed Imran
97680fd4-d11b-4fc5-9db4-1fe990de3077
Khan, Sharfuddin Ahmed
4e5d9744-cff5-4e3f-9a3f-08535970d2a4
Kusi-Sarpong, Simonov
a7e68240-2b34-456e-9849-c01bd10c68f7
Zaman, Syed Imran
97680fd4-d11b-4fc5-9db4-1fe990de3077
Khan, Sharfuddin Ahmed
4e5d9744-cff5-4e3f-9a3f-08535970d2a4
Kusi-Sarpong, Simonov
a7e68240-2b34-456e-9849-c01bd10c68f7

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. (doi:10.1108/BIJ-05-2022-0295).

Record type: Article

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.

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More information

Accepted/In Press date: 25 March 2023
e-pub ahead of print date: 5 June 2023
Published date: 5 June 2023
Additional Information: Publisher Copyright: © 2023, Emerald Publishing Limited.
Keywords: Collaborative factors, Gray-DEMATEL, Relationship, Supply chain collaboration, Supply chain finance, Supply chain performance

Identifiers

Local EPrints ID: 477824
URI: http://eprints.soton.ac.uk/id/eprint/477824
ISSN: 1463-5771
PURE UUID: c4ab4613-e18f-4fea-ad0e-4535fe10c929

Catalogue record

Date deposited: 15 Jun 2023 16:45
Last modified: 17 Mar 2024 02:41

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Contributors

Author: Syed Imran Zaman
Author: Sharfuddin Ahmed Khan

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