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.

利用智能推荐系统技术提出了一种新的数据驱动型供应链中断响应框架，并通过实际应用验证了概念模型，结果表明该框架可以作为有效的供应链中断缓解措施，在首次响应阶段帮助供应链参与者获得更好的反应性能。