A critical analysis of supply chain risk management content: a structured literature review

Purpose - The research on supply chain risk management (SCRM) is visibly on the rise while its literature still lacks the state of the art which critically analyses its content. The SCRM literature seems to require studies which utilise risk typology, sources of risk, etc. for reviewing the field. This study bridges the gap by synthesizing information obtained from 343 articles across 85 journals. This study also presents the critical analysis of the content of SCRM in a structured manner to identify the directions for future research. Design/methodology/approach - A systematic literature review (SLR) method was devised and adopted, which involved the selection, classi?cation and evaluation of 343 research articles published over a period of eleven years (2004-2014). The content of extant SCRM literature was critically analyzed and synthesized from the perspective of risk management process (RMP). Findings - The analysis of extant literature shows that there is the marked rise of research in the supply chain risk management area, especially after the year 2005. It was observed that not only risk but also different forms of uncertainties make supply chain operations difficult to manage. The SCRM actions yielded most benefits when their implementation was at chain or network level and managed strategically. The analysis also reveals that manufacturing sector is most affected by risks and highly investigated by researchers. Practical implications - A complete process for SCRM based on risk stratification, objectives of risk management and RMP will be a guiding model of firms to manage risks. The research gaps identified and future directions provided here will encourage researchers and managers to devise new methods, tools and techniques to address the risks in modern supply chain. Originality/value - SLR and risk-based content classification of SCRM literature are performed. To identify, locate, select, and analyse the SCRM literature, a structured and systematic process is adopted with some very rarely used methods such as two levels of search keywords and string are formulated to locate the most relevant articles in major academic databases.

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