Publication | Closed Access
Role of information processing and digital supply chain in supply chain resilience through supply chain risk management
90
Citations
93
References
2024
Year
Logistics ProcessesBusiness IntelligenceInformation ProcessingDigital Supply ChainSmart ManufacturingSupply Chain RiskSupply Chain ResilienceSupply Chain Risk ManagementInformation Technology ManagementSupply Chain DisruptionRisk ManagementManagementLogisticsSupply ChainSupply Chain ViabilityManufacturing IndustrySupply Chain DesignSupply Chain ManagementOperations ManagementMarketingSupply Chain SecuritySupply ManagementBusiness OperationsHealthcare Supply Chain ManagementBusinessDigital Supply ChainsSupply Chain AnalysisPurpose Supply Chain
Purpose Supply chain (SC) management is more challenging than ever. Significantly, the pandemic has provoked global and economic destruction that appeared in the manufacturing industry as a “black swan.” Therefore, the purpose of this study was to examine the role of information processing and digital supply chain in supply chain resilience through supply chain risk management. Design/methodology/approach This study examines SC risk management and resilience from an information processing theory perspective. The authors used data collected from 251 SC professionals in the manufacturing industry, and the authors used a quantitative method to analyze the data. The data was analyzed using partial least squares-structural equation modeling. To confirm the higher-order measurement model, the authors used SmartPLS version 4 software. Findings This study found that information processing capability (disruptive orientation and visibility in high-order) and digital SC significantly and positively affect SC risk management and resilience. Similarly, SC risk management positively mediates the relationship between information processing capability and digital SC. However, information processing capability was found to have a more substantial effect on SC risk management than the digital SC. Research limitations/implications This study has both academic and practical contributions. It contributed to existing information processing theory, and manufacturing firms can improve their performance by proactively responding to SC disruptions by recognizing the pivotal role of study variables in risk management for a resilient SC. Originality/value The conceptual model of this study is based on information processing theory, which asserts that synchronizing information processing capabilities and digital SCs allows a firm to deal with unplanned events. SC disruption orientation and visibility are considered risk controllers as they allow the firms to be more proactive. An integrated model of conceptualizing the disruption orientation, visibility (higher-order) and digital SC with information processing theory makes this research novel.
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