Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case

By Dmitry A. Ivanov. Transportation Research Part E: Logistics and Transportation Review, 2020

1,911 citations recorded by the source corpus.

Highlights • Epidemic outbreaks are a special case of supply chain (SC) risks.• We articulate the specific features of epidemic outbreaks in SCs.• We demonstrate a simulation model for epidemic outbreak analysis.• We use an example of coronavirus COVID-19 outbreak.

Subfields: Management Information Systems, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/16d5e73fc6849f530586fca2a61518608baf2039

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Citations in the corpus

Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions (2020, positive): “Ivanov (2020) , who considered the andemic and the respective supply chain risks, provided a simu- ation model for global supply chain disruption and predicted the everity of COVID-19 ′ s impact on supply chain performance.”
COVID-19 pandemic related supply chain studies: A systematic review (2021, positive): “…can have substantial negative impacts on businesses and supply chains, including reducing their efficiency and performance (Guan et al., 2020; Ivanov, 2020a; Sodhi, 2016), and propagating disruptions across the supply chains (known as ripple effects) that affect their resilience and…”
COVID-19 Outbreak in Colombia: An Analysis of Its Impacts on Transport Systems (2020, positive): “Finally, in line with Ivanov [16] who calls for the need to develop pandemic supply chain plans to identify elements of risk preparedness and recovery policies applied to transport networks in case of epidemic outbreaks, we will identify the hazards and threats to transport systems during the curren”
Competing during a pandemic? Retailers’ ups and downs during the COVID-19 outbreak (2020, positive): “consumer demand (such as panic buying of staples such as toilet tissue and pasta, as seen in the UK) leads to negative impacts on supply chain performance (Ivanov, 2020).”
Investigating the emerging COVID-19 research trends in the field of business and management: A bibliometric analysis approach (2020, positive): “…change their priorities in response to old challenges like real-time decision-making, workforce productivity, business continuity, and security risks, newer challenges introduced by the pandemic are testing businesses’ resilience as they attempt to lay a foundation for the future (Ivanov, 2020).”
Coronavirus disease 2019 and the global economy (2020, positive): “For example, according to Ivanov (2020), 94% of the Fortune 1000 companies have experienced supply chain disruptions due to COVID-19.”
Prospective impact of Corona virus disease (COVID-19) related lockdown on shrimp aquaculture sector in India – a sectoral assessment (2020, positive): “Ivanov (2020) reported that the agri-food sector is highly connected internationally.”
Exogenous shocks and the adaptive capacity of family firms: exploring behavioral changes and digital technologies in the COVID‐19 pandemic (2021, neutral): “The COVID- 19 pandemic (Li et al., 2020; Zhu et al., 2020) has taken on a global dimension, leading almost all industrialized nations to bring their economies to a shutdown, with massive contact restrictions (Ivanov, 2020) and creating a shortage of both supply and demand in many industries.”
COVID-19 Outbreak Prediction with Machine Learning (2020, neutral): “The recent global COVID-19 pandemic has exhibited a nonlinear and complex nature [2].”
The impact of COVID-19 on transport volume and freight capacity dynamics: An empirical analysis in German food retail logistics (2020, neutral): “…on different levels of investigation are, but are not limited to, environmental developments (Saadat et al., 2020; Sharma et al., 2020), agriculture (Siche, 2020), travel behavior (de Vos, 2020), global supply chains (Ivanov, 2020), society and global environment (Chakraborty and Maity, 2020).”
Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review (2022, neutral): “Such misinformation has resulted to negative implications regarding consumer behaviour, and triggered in turn substantial and often diffi - cult to handle fluctuations in demand (Ivanov, 2020), thus resulting in increased uncertainty.”
A case study on strategies to deal with the impacts of COVID-19 pandemic in the food and beverage industry (2020, neutral): “The impacts of these disruptions are severe, because such crises have long-lasting ripple effects and can impact the operations at multiple levels simultaneously, including sourcing, production, and distribution (Ivanov 2020a; see also Choi 2020; Ivanov 2020b; Ivanov & Dolgui 2020; Samson 2020).”
Reconfigurable supply chain: the X-network (2020, positive): “Ivanov (2020) shows that differently than the traditional, linearly directed SCs with static structures, the firms in value webs may exhibit multiple behaviors by changing the buyer-supplier roles in interconnected or even competing SCs and causing dependence asymmetry (Dong et al. 2015).”
The Industry 5.0 framework: viability-based integration of the resilience, sustainability, and human-centricity perspectives (2022, positive): “Ivanov (2020b) defines viability as an ‘ability of a supply chain tomaintain itself and survive in a changing environment through a redesign of structures and replanning of performance with long-term impacts’.”
The impact of social capital and collaborative knowledge creation on e-business proactiveness and organizational agility in responding to the COVID-19 crisis (2020, positive): “The same applies to the proactive adoption of innovative e-business solutions in pandemics to respond rapidly and operate in new ways so as to continue to do business and minimize the effects of epidemic outbreaks on supply chains (Ivanov & Dolgui, 2020; Ivanov, 2020; Pantano, Pizzi, Scarpi, & Denni”
Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era (2020, positive): “The COVID-19 outbreak has put the resilience and robustness of SCs to the test in several industries with shortages in supply, lack of reactivity and production stops (Ivanov and Dolgui, 2020).”
Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic (2020, positive): “Recent models of supply chain risk and recovery indicate that during the COVID-19 pandemic, the timing and sequence of bringing back online facilities at different echelons and nodes of the supply chain has the greatest impact on the supply chain performance (Ivanov 2020).”
Supply Chain Viability and the COVID-19 pandemic: a conceptual and formal generalisation of four major adaptation strategies (2021, positive): “Assuming different durations of pandemic control measures and propagation speeds of the pandemic across the continents, Ivanov (2020a) observed that the timing of the closing and opening of facilities at different echelons with some overlapping time windows was a major factor in determining the…”
Exploring customers' responses to online service failure and recovery strategies during Covid‐19 pandemic: An actor–network theory perspective (2021, positive): “Covid‐19 has caused major disruptions to the global supply chain (Altman, 2020; Ivanov, 2020) adding more risks to supply chain management and service failures.”