Review of quantitative methods for supply chain resilience analysis

S Hosseini, D Ivanov, A Dolgui - … research part E: logistics and transportation …, 2019 - Elsevier
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 …

Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions

R Han, HKS Lam, Y Zhan, Y Wang… - … Management & Data …, 2021 - emerald.com
Purpose Although the value of artificial intelligence (AI) has been acknowledged by
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

D Ivanov, A Dolgui - Production Planning & Control, 2021 - Taylor & Francis
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 …

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 …

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 …

Big data analytics and innovation in e-commerce: current insights and future directions

AA Alsmadi, A Shuhaiber, M Al-Okaily… - Journal of Financial …, 2023 - pmc.ncbi.nlm.nih.gov
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 …

Reconfigurable supply chain: The X-network

A Dolgui, D Ivanov, B Sokolov - International Journal of Production …, 2020 - Taylor & Francis
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 …

Measuring social media influencer index-insights from Facebook, Twitter and Instagram

A Arora, S Bansal, C Kandpal, R Aswani… - Journal of retailing and …, 2019 - Elsevier
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 …

A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing

IM Cavalcante, EM Frazzon, FA Forcellini… - International Journal of …, 2019 - Elsevier
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 …

Big data analytics in operations management

TM Choi, SW Wallace, Y Wang - Production and operations …, 2018 - journals.sagepub.com
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 …