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Cited by 103 publications
(116 citation statements)
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References 61 publications
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“…The ripple effects from medical stockouts permeate, migrate and, at times, transform at different nodes in HCSCs, leading to incomprehensible devastation that cannot be managed using individualistic SCRM techniques (Tukamuhabwa et al ., 2017). Clearly, firm-level SCRM techniques are unable to respond to demand shocks, sporadic instability, disturbances and resulting systematic disruptions from medical stockouts during a pandemic (Friday et al , 2018; Ramezani and Camarinha-Matos, 2020). This section presents further three propositions that form the basis of a model of how collaboration can be used to enhance resilience against systematic disruptions caused by medical stockouts.…”
Section: Agenda For Future Researchmentioning
confidence: 99%
“…The ripple effects from medical stockouts permeate, migrate and, at times, transform at different nodes in HCSCs, leading to incomprehensible devastation that cannot be managed using individualistic SCRM techniques (Tukamuhabwa et al ., 2017). Clearly, firm-level SCRM techniques are unable to respond to demand shocks, sporadic instability, disturbances and resulting systematic disruptions from medical stockouts during a pandemic (Friday et al , 2018; Ramezani and Camarinha-Matos, 2020). This section presents further three propositions that form the basis of a model of how collaboration can be used to enhance resilience against systematic disruptions caused by medical stockouts.…”
Section: Agenda For Future Researchmentioning
confidence: 99%
“…It is still possible to take advantage of these unexpected events that challenge the system resilience. For example, by updating the knowledge that is used to assess system resilience, or by applying an evolutionary change that updates the system requirements and avoids damage upon the occurrence of the same type of event, or by evolving the system functionality-a case where the area of study of antifragile systems [33] could be applied. An interesting proposal to formalize a concept of surprise within a Bayesian framework can be found in [8], where a surprise is defined in terms of the distance between prior and posterior probability distributions.…”
Section: Discussionmentioning
confidence: 99%
“…Applications can combine blockchain with machine learning [14] and also artificial intelligence (AI). It is indicated that this combination of technologies would help systems to achieve continuous improvement, provide a faster and better response to disruptions, and make predictions about potential failures.…”
Section: Multidisciplinarymentioning
confidence: 99%