Modelling the interrelationships of critical success factors of humanitarian supply chain: an intuitionistic fuzzy DEMATEL approach

IF 4.5 Q1 MANAGEMENT
Sangita Choudhary, Tapan Kumar Panda, Abhishek Behl
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引用次数: 0

Abstract

Purpose Amid increasing frequency of disaster across the globe, humanitarian supply chain (HSC) has gained significant attention in recent times. This work aims to contribute towards improving the decision-making capabilities of relief organisations by offering more comprehensive understanding of the critical success factors (CSFs) concerning HSC. Hence, the current work attempts to classify CSFs as cause-and-effect factors and explore their relative importance in the stated significance. Design/methodology/approach Current work takes an explorative and deductive approach. It uses literature and experts' input to identify the CSFs for HSC and to develop a structural model for assessing these factors. Intuitionistic fuzzy DEMATEL (IF-D) is employed for modelling and analysing the cause-effect linkages among the CSFs. IF-D method is chosen as it is robust to vagueness of data and small samples. Findings The findings indicate that “motivated and committed employees” is the most influencing causal factor followed by “IT infrastructure”, and among effect factors, “physical network” carries the most significance followed by “anticipation capabilities.” Practical implications Relief organisations and stakeholders at various levels may put more emphasis on cause group factors with more influence on most critical effect factors to build more efficient and effective HSC to execute more impactful relief programs. Originality/value Current work explores the cause–effect relationships among the CSFs concerning HSC by implementing IF-D, which can be considered as the original contribution.
人道主义供应链关键成功因素的相互关系建模:一种直觉模糊DEMATEL方法
在全球灾害日益频繁的背景下,人道主义供应链(HSC)近年来受到了极大的关注。这项工作旨在通过更全面地了解有关HSC的关键成功因素(CSFs),从而有助于提高救援组织的决策能力。因此,目前的工作试图将csf分类为因果因素,并探讨其在所述意义中的相对重要性。设计/方法/方法目前的工作采用探索和演绎的方法。它使用文献和专家的输入来确定HSC的csf,并开发一个评估这些因素的结构模型。采用直觉模糊DEMATEL (IF-D)模型对CSFs之间的因果关系进行建模和分析。选用IF-D方法对数据的模糊性和小样本具有较强的鲁棒性。研究发现,“员工积极投入”是最具影响力的因果因素,其次是“IT基础设施”,在影响因素中,“物理网络”最重要,其次是“预期能力”。实践启示救济组织和各级利益相关者可以更加重视对最关键的影响因素有更大影响的原因群体因素,以建立更高效和有效的HSC,以执行更有影响力的救济项目。目前的工作通过实施IF-D来探索与HSC相关的csf之间的因果关系,这可以被认为是原创性贡献。
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来源期刊
CiteScore
10.40
自引率
16.10%
发文量
154
期刊介绍: Benchmarking is big news for companies committed to total quality programmes. Its enthusiastic reception by many prominent business figures has created high levels of interest in a technique which promises big rewards for co-operating partners. Yet, like total quality itself, it must be understood in its proper context, and implemented single mindedly if it is to be effective - this journal helps companies to decide if benchmarking is right for them, and shows them how to go about it successfully.
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