A hierarchical model for critical success factors in apparel supply chain

Abstract

PurposeSupply chain management plays an important role in sustaining businesses in today's competitive environment. Therefore, industrial managers are focusing on exploring the key performance improvement attributes of supply chain management to achieve a better position in the global market. Aimed at ensuring best supply chain management practices, this study presents the key performance improvement attributes, known as critical success factors (CSFs), within the context of the apparel supply chain of Bangladesh.Design/methodology/approachIn this paper, the interpretive structural modeling method (ISM) has been applied to develop a structural framework to analyze the contextual relationship among the factors under consideration. MICMAC (Matriced' Impacts Croise´s Multiplication Applique´e a´ unClassement) analysis has also been performed to define the classification of the CSFs in terms of their driving and dependence power.FindingsThe research findings reveal that supply chain collaboration/partnership and customer satisfaction are of crucial importance to success in the context of supply chain management of the readymade (RMG) garments industry of Bangladesh. Further evidence suggests that these, along with other success factors, can assist in achieving a competitive advantage and better market position. A number of theoretical and managerial implications have been provided for managers and practitioners, and for further evaluation of the study.Originality/valueThis paper considers a new supply chain problem which identifies and evaluates critical success factors. This paper also develops a new structural model for evaluating critical success factors.

Modeling the barriers to multistakeholder collaboration for COVID-19 pandemic response: Evidence from Sub-Saharan Africa

“…Through the ISM method, researchers can impose order on the complexity of variables and present them in a structured manner (Cherrafi et al 2017;Jharkharia and Shankar 2005). Researchers have used the concept of ISM for analyzing the interactions among variables in implementing total quality management (Talib, Rahman, and Qureshi 2011), green supply chain management (Mathiyazhagan et al 2013), lean manufacturing practices (Cherrafi et al 2017;Vasanthakumar, Vinodh, and Ramesh 2016) and success factors in the apparel supply chain (Chowdhury et al 2020).…”

“…The experts, who are usually assembled in a small group to build contextual relationships, utilize focus group discussion methods (Shukla, Todorov, and Kapletia 2018). The results of the literature survey revealed that most studies adopting the ISM approach use a small group of experts (ranging from two to 13) from the industry and the academia for developing the contextual relationships (e.g., Chowdhury et al 2020;Haleem et al 2012;Purohit et al 2016;Cherrafi et al 2017;Panahifar, Byrne, and Heavey 2015;Mathiyazhagan et al 2013). Therefore, our team of experts was considered appropriate for this study and adequate for building the proposed ISM model.…”

“…The initial reachability matrix was formed after substituting the alpha code with its corresponding numerical value as tabulated in Table 4. This initial reachability matrix later needed to be checked for the transitivity of the contextual relationship, which is the fundamental assumption of ISM (Cherrafi et al 2017;Chowdhury et al 2020). The reachability matrix also uncovered the driving and dependence powers of the barriers.…”

“…The driving power of a specific barrier was computed by calculating the quantity of barriers that it could impact. The dependence power of a specific barrier was established by totaling the number of barriers through which it was influenced (Chowdhury et al 2020).…”

Hierarchy of Critical Success Factors (CSF) for Lean Six Sigma (LSS) in Quality 4.0

“…The last category pertains to high dependence and high driving power. These are termed 'linkage' factors (Chowdhury et al 2020;Senthil and Vinodh 2020).…”