Abstract
Research on the interactions between risk, integration, and performance in supply chains (SCs) is increasingly attracting attention of researchers in recent years. Although risk usually has negative effects on performance, limited evidence has been provided to show whether companies differently exposed to operational risk (i.e., high, moderate, or low exposure) also have different levels of integration and operational performance. Therefore, this study aims to identify and characterize different profiles of operational risk (i.e., supply, manufacturing, and demand risks) between manufacturing companies along with considering contextual factors such as company size and industry type. Data are collected from the fourth round of the High Performance Manufacturing Project and subsequently analyzed by cluster analysis and analysis of variance (ANOVA). Three different clusters have been identified: Two clusters are moderately and highly impacted by operational risk, respectively, while the other cluster is almost not impacted by manufacturing risk but highly impacted by supply risk and demand risk. The results also indicate that companies with different profiles of operational risk have different levels of integration and operational performance. An important contribution of the current study is the development of a hypothesized framework of interactions between operational risk, integration, and operational performance to provide opportunities for further research.
Highlights
Academic Editors: Youngwon Park, Supply chains (SCs) are increasingly interdependent and complex
SCs is increasingly attracting interest from researchers, it is still unclear whether companies with different profiles of operational risk could have different levels of integration and operational performance
In order to fill this gap, the present study aims to identify and characterize different operational risk profiles along with considering contextual factors that help to further distinguish those profiles, namely, integration, operational performance, company size, and industry type
Summary
Academic Editors: Youngwon Park, Supply chains (SCs) are increasingly interdependent and complex. SCs more exposed to risks [1]. Numerous studies have been performed to quantify the potential impact degree of risks on various performance outputs (e.g., [3,4,5]), whereas others aim to cover various risks in SCs (e.g., [2,6]). In this case, SC integration is recognized as one of the proactive strategies to minimize the impact of risk [7]. Proactiveness in the SC risk management context refers to detecting probable causes of risk, measuring the risk likelihood and planning and activating appropriate measures before risks occur [8]
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