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Supply chain digitalization for data-driven disaster immunity: role of supply chain process integration and innovation speed

Omar Ibrahim Yousef Alyasein et al.

Industrial Management & Data Systems2026https://doi.org/10.1108/imds-06-2025-0782article
AJG 2ABDC A
Weight
0.50

Abstract

Purpose Disaster immunity capability has been demonstrated to benefit firms during supply chain disruptions. However, research on how supply chain digitalization provides data to assist firms in achieving immunity capability is lacking. Supply chain digitalization focuses on the application of digital technologies (e.g. the Internet of Things (IoT), artificial intelligence (AI) and blockchain) to optimize supply chain operations. This paper aims to answer the research question: How can supply chain digitalization contribute to organizational disaster immunity capability? Design/methodology/approach We propose a research model based on dynamic capabilities theory to address the research question by exploring relationships between supply chain digitalization, process integration, innovation speed and disaster immunity capabilities. Two empirical studies, a survey and a vignette-based experiment, provide empirical support using data collected from manufacturing and service companies to test the proposed model. Findings The results demonstrate that supply chain digitalization significantly enhances disaster immunity capability through the mediating effects of supply chain process integration and innovation speed. Originality/value This study contributes to existing literature by introducing supply chain process integration and innovation speed as mediating variables that explain how digitalization leads to disaster immunity capability. This paper provides practical, actionable insights for organizations to prepare for future disasters and make informed decisions.

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https://doi.org/https://doi.org/10.1108/imds-06-2025-0782

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@article{omar2026,
  title        = {{Supply chain digitalization for data-driven disaster immunity: role of supply chain process integration and innovation speed}},
  author       = {Omar Ibrahim Yousef Alyasein et al.},
  journal      = {Industrial Management & Data Systems},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1108/imds-06-2025-0782},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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