Interests in the value of digital technologies for its potential uses to increase supply chain resilience (SCRes) are increasing in light to the industry 4.0 and the global pandemic. Utilization of Recommender systems (RS) as a supply chain (SC) resilience measure is neglected although RS is a capable tool to enhance SC resilience from a reactive aspect. To address this problem, this research proposed a novel data-driven supply chain disruption response framework based on the intelligent recommender system techniques and validated the conceptual model through a practical use case. Results show that our framework can be implemented as an effective SC disruption mitigation measure in the very first response phrase and help SC participants get better reaction performance after the SC disruption.

翻译：对数字技术在增强供应链韧性方面潜在价值的兴趣，在工业4.0和全球疫情的背景下日益增加。尽管推荐系统作为提升供应链韧性反应性方面的有效工具，其作为供应链韧性措施的应用却被忽视。为解决此问题，本研究提出了一种基于智能推荐系统技术的新型数据驱动供应链中断响应框架，并通过实际用例验证了概念模型。结果表明，我们的框架可作为首个响应阶段中有效的供应链中断缓解措施，并帮助供应链参与者在中断后获得更好的反应性能。