  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.
