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

Abstract

PurposeIt 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/approachThe 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.FindingsThe 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/implicationsThe 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/valueTo 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.

Identifying and exploring the relationship among the critical success factors of sustainability toward consumer behavior

“…This strategy has been used in a number of different investigations. In light of the structure and design of systems for multi-attribute data management, such as DEMATEL, a sample size of approximately 30 people is considered to be quite acceptable (Luthra et al, 2017;Zaman et al, 2023;Jiang et al, 2023;Zaman et al, 2022). The vast majority of studies on multiattribute decision-making use sample sizes ranging from 10 to 15 participants (Khan et al, 2021b).…”