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

• Published in: Journal of modelling in management Vol. 19; no. 3; pp. 980 - 1002
• Main Author: Can Saglam, Yesim
• Format: Journal Article
• Language: English
• Published: Bradford Emerald Publishing Limited 13-03-2024; Emerald Group Publishing Limited
• Subjects: Classification; Competitive advantage; Components industry; Fuzzy logic; Literature reviews; Manufacturing; Research methodology; Supply chains; Turkey; Interpretive structural modeling; Supply chain management; MICMAC analysis; Supply chain agility enablers; Supply chain agility; Delphi
• ISSN: 1746-5664; 1746-5664; 1746-5672
• DOI: 10.1108/JM2-01-2023-0002

Purpose
Today’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/approach
An 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.
Findings
On 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/value
The 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.