Korea Productivity Association

논문검색


pISSN: 1225-3553

생산성논집, Vol.35 no.4 (2021)
pp.43~82

DOI : 10.15843/kpapr.35.4.2021.12.43

Network Analysis and Meta-analysis of Studies of Supply Chain Risk and Firms’ Capabilities and Performance Levels

EuiBeom Jeong

(Associate Professor, Dept. of Business Administration, Hanshin University)

As supply chain risk has come to be regarded as a critical impetus for firm performance, the existing studies have sought to identify the influential risk sources, relevant performancerelated supply chain risks, and risk capabilities. Although some studies on supply chain risks have conducted literature reviews to understand supply chain risk factors (SCRFs) and these capabilities, it has been observed that several articles only cover specific SCRFs and the capabilities pre-identified by the authors. There remains a lack of systematic examination of the various topics in the literature on supply chain risk, such as the main SCRFs, firms’ response capabilities, and firms’ relative performance levels. Some studies have used a popularity-based approach called bibliometrics to fill the gaps in the existing literature. In contrast, other researchers have adopted network-based approaches using citation and co-citation analyses. However, such studies have mainly adopted published papers rather than specific keywords to identify the important research gaps and suggest directions for future research. Therefore, we conducted a network analysis that combined citation and keyword network analyses to identify the most influential SCRFs, firms’ response capabilities, and relative performance levels. To implement rigorous citation and keyword network analyses, we collected initial data set composed of major supply chain risk-related papers with impact factors of at least 3.0 as scored by Web of Science from the SCOPUS database. The initial search attempt generated 320 papers published over 23 years, from 1996 to 2019. Furthermore, previous studies on supply chain risks have produced inconsistent results regarding the relationships between firms’ capabilities to respond to risks and their performance levels in different contexts. Therefore, to address these perceived drawbacks in the existing literature and providing insights for managers regarding firms’ capabilities in different business settings, we implemented a meta-analysis of previous empirical research regarding supply chain risk. The test results showed that firms must boost their main capabilities to cope with supply chain risks and, thereby, improve performance. This study has several significant implications for both theory and practice. First, due to the wide-ranging scope of the supply chain field, previous studies of supply chain risk have been conducted from various perspectives, focusing on internal and external factors and supply chain factors. Second, we also focused on an overview of the research on supply chain risk through structural analysis. The structural analysis enables the discovery of the current status and trends for future research direction. Third, to discover the opportunities for future research through the current status of supply chain risk. Fourth, we conducted a meta-analysis to comprehensively investigate these inconsistent results. Finally, firms must improve their main capabilities to cope with supply chain risks and boost their performance levels.

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