Reference health
AI technologies and their impact on supply chain resilience during COVID-19
45/45 checkable references clean · checked 2026-08-03
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
6 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 45 checked references that resolve
resolves10.1108/IJPDLM-02-2019-0038
Where is supply chain resilience research heading? A systematic and co-occurrence analysis
resolves10.1016/S0140-6736(20)30567-5
How will country-based mitigation measures influence the course of the COVID-19 epidemic?
resolves10.1016/j.dib.2020.106459
A survey dataset to evaluate the changes in mobility and transportation due to COVID-19 travel restrictions in Australia, Brazil, China, Ghana, India, Iran, Italy, Norway, South Africa, United States
resolves10.1080/00207543.2018.1530476
Supply chain risk management and artificial intelligence: state of the art and future research directions
resolves10.1016/j.techfore.2020.120447
Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries
resolves10.1080/14780887.2020.1769238
One size fits all? What counts as quality practice in (reflexive) thematic analysis?
resolves10.1108/MD-01-2020-0038
Strategies to mitigate knowledge hiding behavior: building theories from multiple case studies
resolves10.1108/IJPDLM-09-2016-0245
Supply chain 2.0 revisited: a framework for managing volatility-induced risk in the supply chain
resolves10.1108/IJPDLM-02-2019-0041
Value of supply chain resilience: roles of culture, flexibility, and integration
resolves10.1016/S2468-2667(20)30090-6
Impact assessment of non-pharmaceutical interventions against coronavirus disease 2019 and influenza in Hong Kong: an observational study
resolves10.1108/MSCRA-05-2020-0011
Sustainability of supply chains in the wake of the coronavirus (COVID-19/SARS-CoV-2) pandemic: lessons and trends
resolves10.1108/IJPDLM-01-2017-0043
A review of supply chain risk management: definition, theory, and research agenda
resolves10.1016/j.ijpe.2016.11.015
An information processing perspective on supply chain risk management: Antecedents, mechanism, and consequences
resolves10.1111/ijmr.12096
Understanding and Development of Supply Chain Agility and Flexibility: A Structured Literature Review
resolves10.1016/j.trip.2020.100240
Evaluate the impact of COVID-19 prevention policies on supply chain aspects under uncertainty
resolves10.1108/IJOPM-03-2020-0171
Corona virus, tariffs, trade wars and supply chain evolutionary design
resolves10.1038/s41893-020-0581-y
The short-term impacts of COVID-19 lockdown on urban air pollution in China
resolves10.1080/00207543.2020.1750727
Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak
resolves10.1080/00207543.2018.1488086
The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics
resolves10.1016/j.scitotenv.2020.138177
Digitally-enabled sustainable supply chains in the 21st century: A review and a research agenda
resolves10.1016/j.jclepro.2020.123357
A state-of-the-art review and meta-analysis on sustainable supply chain management: Future research directions
resolves10.1016/j.ijpe.2014.09.036
Resilience by teaming in supply network formation and re-configuration
resolves10.1108/IJPDLM-08-2017-0250
A refined framework of information sharing in perishable product supply chains
resolves10.1016/j.erss.2020.101654
When pandemics impact economies and climate change: Exploring the impacts of COVID-19 on oil and electricity demand in China
resolves10.1108/IJPDLM-04-2020-0127
A production recovery plan in manufacturing supply chains for a high-demand item during COVID-19
resolves10.1108/IJOPM-03-2020-0165
Research opportunities for a more resilient post-COVID-19 supply chain – closing the gap between research findings and industry practice
resolves10.1016/j.cie.2017.11.006
Supply Chain Resilience: Definitions and quantitative modelling approaches – A literature review
resolves10.1108/IJPDLM-10-2015-0246
How internal integration, information sharing, and training affect supply chain risk management capabilities
resolves10.1007/s40860-020-00111-4
Location-aware systems or location-based services: a survey with applications to CoViD-19 contact tracking
resolves10.1108/SCM-06-2013-0191
Mitigation processes – antecedents for building supply chain resilience
resolves10.1080/13675567.2020.1810213
Developing a framework for enhancing survivability of sustainable supply chains during and post-COVID-19 pandemic
resolves10.1016/j.ijpe.2019.09.019
The performance effects of big data analytics and supply chain ambidexterity: The moderating effect of environmental dynamism
resolves10.1016/j.ijpe.2019.107610
Supply chain and external conditions under which supply chain resilience pays: An organizational information processing theorization
resolves10.1016/j.ijpe.2019.07.013
Dynamism, disruption orientation, and resilience in the supply chain and the impacts on financial performance: A dynamic capabilities perspective
resolves10.1108/IJPDLM-11-2017-0341
How supply chain analytics enables operational supply chain transparency
The 6 references without a DOI — listed, not checked
no DOI — not checkedAccenture.com (2020), “Rapid response: a pragmatic approach to maintaining supply chain resilience in times of uncertainty”, available at: Accenture-COVID19-Maintaining-Supply-Chain-Resilience-in-Times-of-Uncertainty.pdf (accessed 20 April 2021).
no DOI — not checkedWHO declares COVID-19 a pandemic
no DOI — not checkedDesigning Complex Organizations
no DOI — not checkedAmbiguity and its coping mechanisms in supply chains lessons from the Covid-19 pandemic and natural disasters
no DOI — not checkedResearch on the phenomenon of supply chain resilience
no DOI — not checkedUnderstanding supply chain analytics capabilities and agility for data-rich environments
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