Paper Info
Title
Supply Chain Resilience: Model Development And Empirical Analysis
Abstract
The purpose of this study is to develop a hierarchy-based model for supply chain resilience (SCRES), explaining the dynamics between various enablers and validating the model empirically. Literature review and a survey identified the enablers. Interpretive structural modelling (ISM) is used to analyse the levels of relationships among enablers. Based on their driving power and dependence, these enablers are also classified into different categories. Structural equation modelling is used to validate the hierarchical SCRES model and test the path analytical model. The study provides empirical justification for a framework that identifies 13 key enablers of resilient supply chain practices and describes the relationship among them using ISM. It also classifies them using Matrix of Cross Impact Multiplications Applied to Classification analysis on the basis of their driver power and dependence. The key finding is that using the proposed model, organisations can enhance their resilience potential by modifying their strategic assets. The model was tested using rigorous statistical tests including convergent validity, discriminant validity and reliability. The holistic view offered by the proposed model depicts the relationship among enablers to achieve SCRES.
Year
DOI
Venue
2017
10.1080/00207543.2017.1349947
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Keywords
DocType
Volume
supply chain resilience, supply chain vulnerability, supply chain risk, interpretive structural modelling, MICMAC analysis, supply chain decision-making
Journal
55
Issue
ISSN
Citations 
22
0020-7543
10
PageRank 
References 
Authors
0.53
17
4
Name
Order
Citations
PageRank
Vipul Jain1172.32
Sameer Kumar218422.82
Umang Soni3291.50
Charu Chandra416818.83