The aim of this article was to investigate how supply chain digitalization interacts with proactive risk management to improve operational performance and resilience. A three-phase research design was employed. First, a scoping review of 1750 publications (2015–2025) was conducted to identify the main conceptual, technological, and methodological trajectories structuring the field. Second, a systematic review across five academic databases identified 40 relevant studies addressing digitalization with an explicit risk-related dimension. Among these, 20 relied on quantitative empirical designs, and 11 provided statistically compatible data for meta-analytical synthesis. A random-effects meta-analysis using restricted maximum likelihood (REML) estimation was performed based on 71 statistically tested relationships extracted at the hypothesis level. The combined effect size indicates that digitalization has a positive and statistically significant effect on performance and risk-related outcomes (β = 0.2511; p < 0.0001), despite substantial heterogeneity across studies. The findings confirm that digitalization contributes to performance primarily through the development of risk-related and adaptive capabilities, rather than acting as a standalone driver. By integrating these insights, this study provides an analytical basis for future optimization-oriented research and for the design of integrated digital risk management strategies.
Citation: Hmitti Nadia, Maghni Ahmed. Supply chain digitalization and risk management: A scoping review, systematic review, and meta-analysis[J]. Journal of Industrial and Management Optimization, 2026, 22(6): 2573-2597. doi: 10.3934/jimo.2026094
The aim of this article was to investigate how supply chain digitalization interacts with proactive risk management to improve operational performance and resilience. A three-phase research design was employed. First, a scoping review of 1750 publications (2015–2025) was conducted to identify the main conceptual, technological, and methodological trajectories structuring the field. Second, a systematic review across five academic databases identified 40 relevant studies addressing digitalization with an explicit risk-related dimension. Among these, 20 relied on quantitative empirical designs, and 11 provided statistically compatible data for meta-analytical synthesis. A random-effects meta-analysis using restricted maximum likelihood (REML) estimation was performed based on 71 statistically tested relationships extracted at the hypothesis level. The combined effect size indicates that digitalization has a positive and statistically significant effect on performance and risk-related outcomes (β = 0.2511; p < 0.0001), despite substantial heterogeneity across studies. The findings confirm that digitalization contributes to performance primarily through the development of risk-related and adaptive capabilities, rather than acting as a standalone driver. By integrating these insights, this study provides an analytical basis for future optimization-oriented research and for the design of integrated digital risk management strategies.
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