Fostering supply chain agility by prominent enablers' identification and developing conceptual modeling based on the ISM-MICMAC approach

dc.contributor.authorSaglam, Yesim Can
dc.date.accessioned2025-10-29T11:16:02Z
dc.date.issued2024
dc.departmentFakülteler, İşletme Fakültesi, İşletme Bölümü
dc.description.abstractPurposeToday's marketplace has witnessed intense competitive pressures and high levels of uncertainty and disruption. Therefore, supply chains require agility to obtain a sustainable competitive advantage and cope with uncertainties as well as disruptions. Although a wide range of studies exists on supply chain agility (SCA) from the perspective of antecedents or consequences, there is little research on the investigation of enablers of SCA and their relations among them. Furthermore, the literature has investigated proactive and reactive enablers for enhancing SCA, but most studies have not sufficiently framed their analysis of both aspects synchronically. This paper aims to find out the interrelationships among the proactive and reactive enablers for enhancing SCA.Design/methodology/approachAn extensive literature review has been conducted to identify SCA enablers and a Delphi study has been performed to elucidate SCA enablers in the manufacturing industry in Turkey. Interpretive structural modeling (ISM) has been used to identify the contextual relationship among the SCA enablers, and the model has been validated based on Matriced Impact Croises Multiplication Appliquee a un Classement (MICMAC) analysis.FindingsOn theoretical and practical levels, the proposed ISM model in this study can help organizations analyze and interpret interrelationships among enablers of SCA. For managers, it can provide better insights and understanding of the facilitators of SCA to enhance the effectiveness of the supply chain and cope with uncertainties and turbulence. According to results, enhancing supply and demand side competency, delivery speed and strategic sourcing are the most significant enablers of SCA.Originality/valueThe study extends the existing literature related to the enablers of SCA by modeling the proactive and reactive enablers of SCA based on the Al Humdan et al. (2020) classification. Arranging the enablers of SCA in a hierarchy and classifying the enablers into different levels with the help of the ISM-MICMAC approach is an exclusive effort to achieve successful management of the supply chain.
dc.identifier.doi10.1108/JM2-01-2023-0002
dc.identifier.endpage1002
dc.identifier.issn1746-5664
dc.identifier.issn1746-5672
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85175559126
dc.identifier.scopusqualityQ2
dc.identifier.startpage980
dc.identifier.urihttps://doi.org/10.1108/JM2-01-2023-0002
dc.identifier.urihttps://hdl.handle.net/20.500.14854/7399
dc.identifier.volume19
dc.identifier.wosWOS:001095789800001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorSaglam, Yesim Can
dc.language.isoen
dc.publisherEmerald Group Publishing Ltd
dc.relation.ispartofJournal of Modelling in Management
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20251020
dc.subjectSupply chain agility
dc.subjectDelphi
dc.subjectInterpretive structural modeling
dc.subjectSupply chain management
dc.subjectMICMAC analysis
dc.subjectSupply chain agility enablers
dc.titleFostering supply chain agility by prominent enablers' identification and developing conceptual modeling based on the ISM-MICMAC approach
dc.typeArticle

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