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Review of quantitative methods for supply chain resilience analysis
Supply chain resilience (SCR) manifests when the network is capable to withstand, adapt,
and recover from disruptions to meet customer demand and ensure performance. This paper …
and recover from disruptions to meet customer demand and ensure performance. This paper …
Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions
Purpose Although the value of artificial intelligence (AI) has been acknowledged by
companies, the literature shows challenges concerning AI-enabled business-to-business …
companies, the literature shows challenges concerning AI-enabled business-to-business …
A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0
We theorize a notion of a digital supply chain (SC) twin–a computerized model that
represents network states for any given moment in real time. We explore the conditions …
represents network states for any given moment in real time. We explore the conditions …
Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic
D Ivanov - Annals of operations research, 2022 - Springer
Viability is the ability of a supply chain (SC) to maintain itself and survive in a changing
environment through a redesign of structures and replanning of performance with long-term …
environment through a redesign of structures and replanning of performance with long-term …
Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case
D Ivanov - Transportation Research Part E: Logistics and …, 2020 - Elsevier
Epidemic outbreaks are a special case of supply chain (SC) risks which is distinctively
characterized by a long-term disruption existence, disruption propagations (ie, the ripple …
characterized by a long-term disruption existence, disruption propagations (ie, the ripple …
Big data analytics and innovation in e-commerce: current insights and future directions
Big data analytics (BDA), as a new innovation tool, played an important role in hel**
businesses to survive and thrive during great crises and mega disruptions like COVID-19 by …
businesses to survive and thrive during great crises and mega disruptions like COVID-19 by …
Reconfigurable supply chain: The X-network
Research on supply chain (SC) digitalization, resilience, sustainability and leagility has
remarkably progressed, most of it focused on the individual contributions of these four major …
remarkably progressed, most of it focused on the individual contributions of these four major …
Measuring social media influencer index-insights from Facebook, Twitter and Instagram
The growth of social media has completely revamped the way people interact, communicate
and engage. These platforms play a key role in facilitating greater outreach and influence …
and engage. These platforms play a key role in facilitating greater outreach and influence …
A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing
There has been an increased interest in resilient supplier selection in recent years, much of
it focusing on forecasting the disruption probabilities. We conceptualize an entirely different …
it focusing on forecasting the disruption probabilities. We conceptualize an entirely different …
Big data analytics in operations management
Big data analytics is critical in modern operations management (OM). In this study, we first
explore the existing big data‐related analytics techniques, and identify their strengths …
explore the existing big data‐related analytics techniques, and identify their strengths …