2020
DOI: 10.1108/bij-03-2020-0093
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Modeling the enablers of humanitarian supply chain management: a hybrid group decision-making approach

Abstract: PurposeThis paper intends to explore and appraise the humanitarian supply chain management enablers (HSCMEs) for efficient and effective humanitarian operations. This research aims to analyze the interaction of enablers for humanitarian supply chain management (HSCM) using a proposed hybrid framework consists of fuzzy Delphi (FD), interpretive structural modeling (ISM)–matriced impacts croises multiplication appliquee a un classement (MICMAC) and revised Simos approach.Design/methodology/approachThis research … Show more

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Cited by 15 publications
(13 citation statements)
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References 105 publications
(151 reference statements)
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“…Sahebi et al (2017) [33] used the fuzzy best-worst method (BWM) for analyzing the barriers in SHSCM. Agarwal et al (2020) [42] used an integrated approach comprising fuzzy Delphi (FD), interpretive structural modeling (ISM), and matrices impacts croises multiplication applique a un classement (MICMAC, crossimpact matrix multiplication) analysis for evaluating the enablers of SHSCM. In another study, Agarwal et al (2020) [43] used a combined fuzzy stepwise weight assessment ratio analysis (SWARA) and a fuzzy weighted aggregated sum product assessment (WASPAS) for analyzing barriers in SHSCM.…”
Section: Existing Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Sahebi et al (2017) [33] used the fuzzy best-worst method (BWM) for analyzing the barriers in SHSCM. Agarwal et al (2020) [42] used an integrated approach comprising fuzzy Delphi (FD), interpretive structural modeling (ISM), and matrices impacts croises multiplication applique a un classement (MICMAC, crossimpact matrix multiplication) analysis for evaluating the enablers of SHSCM. In another study, Agarwal et al (2020) [43] used a combined fuzzy stepwise weight assessment ratio analysis (SWARA) and a fuzzy weighted aggregated sum product assessment (WASPAS) for analyzing barriers in SHSCM.…”
Section: Existing Methodsmentioning
confidence: 99%
“…Agarwal et al (2020) [42] used an integrated approach comprising fuzzy Delphi (FD), interpretive structural modeling (ISM), and matrices impacts croises multiplication applique a un classement (MICMAC, crossimpact matrix multiplication) analysis for evaluating the enablers of SHSCM. In another study, Agarwal et al (2020) [43] used a combined fuzzy stepwise weight assessment ratio analysis (SWARA) and a fuzzy weighted aggregated sum product assessment (WASPAS) for analyzing barriers in SHSCM. From the above discussion, it is evident that an analysis of SHSCM using MCDM methods under a neutrosophic context has not been carried out.…”
Section: Existing Methodsmentioning
confidence: 99%
“…ISM is applied for modeling and “multi-criteria decision making (MCDM )” like “ AHP and ANP ”. The superiority of the ISM method over other MCDM methods is that ISM does not require the intensity of correlation between the features except the level of dominance which avoids bias decision of the participants and enhances the consistency of the offered model (Agarwal et al ., 2021).…”
Section: Method: Interpretive Structural Modeling (Ism) and Micmac An...mentioning
confidence: 99%
“…ISM is applied for modeling and "multi-criteria decision making (MCDM)" like "AHP and ANP". The superiority of the ISM method over other MCDM methods is that ISM does not require the intensity of correlation between the features except the level of dominance which avoids bias decision of the participants and enhances the consistency of the offered model (Agarwal et al, 2021). ISM method has been used in many different industries and scientific fields like information technologies in Indian Manufacturing SMEs (Jitesh et al, 2008), marketing (Sindhu, 2020) or evaluating strategic decision-making groups (Bolanos et al, 2005).…”
Section: Patterns/iterationmentioning
confidence: 99%
“…ISM-MICMAC integrated approach has been used by researchers in various areas as barriers in implementing lean six sigma in SC (Ali et al , 2020), modeling and examining outcomes of engineering change propagation (Bashr and Ojiako, 2020), logistics barriers faced by foreign firms (Gandhi et al , 2020) and humanitarian SCM enablers evaluation (Agarwal et al , 2020).…”
Section: Methodsmentioning
confidence: 99%