ItemArticle

A systematic literature network analysis approach to assess the topology of modern-era supply chain risk management research

Title
A systematic literature network analysis approach to assess the topology of modern-era supply chain risk management research
Creator
Leslie Dass, P.; Nair, Sreerengan V.R.; Kurien, Georgy P.; Kumar Chandar, S.
Description
Over the past decade, there has been a significant increase in research on supply chain risk management (SCRM). This review uses a systematic literature network analysis to provide an overview of the SCRM research landscape, with emphasis on optimisation approaches, mathematical modelling tools, and the identification of seminal studies and relevant keywords used in SCRM research. However, there are few quantitative models that represent the relationship between supply chain surplus, sustainability, and resilience in SCRM literature. The study has limitations since it only sources from a single database, and more clarity is needed on the effectiveness of optimisation in SCRM, which can be further evaluated through case studies and empirical studies. Copyright 2025 Inderscience Enterprises Ltd.
Source
International Journal of Industrial and Systems Engineering;Volume;50;Issue;1;pp.106-145
Date
01-01-2025
Publisher
Inderscience Publishers
Subject
linear programming; optimisation; profitability; resilience; risk management; supply chain; surplus; sustainability
Coverage
Leslie Dass P., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Nair S.V.R., Faculty for Lean Operations and Systems, School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Kurien G.P., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Kumar Chandar S., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 17485037;
Format
online
Language
English
Type
Article

Citation

Leslie Dass, P.; Nair, Sreerengan V.R.; Kurien, Georgy P.; Kumar Chandar, S., “A systematic literature network analysis approach to assess the topology of modern-era supply chain risk management research,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/23306.

Output Formats