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Ethical Dilemmas and Decision-Making Challenges During Covid-19

Neilson Journals Publishing

Journal of Business Ethics Education2025https://doi.org/10.5840/jbee20252211article
AJG 1
Weight
0.50

What the paper says

This case is based on a real-life situation that unfolded in Italy during the COVID-19 pandemic in 2019. It presents the ethical dilemma faced by the Italian administration, which was confronted with the morally challenging responsibility of treating a rapidly increasing number of COVID-19 patients amid severe shortages of medical equipment and resources. The case also highlights the moral distress and psychological toll experienced by healthcare professionals, who were forced to make ethically uncomfortable decisions on the front lines of the crisis. A particularly difficult aspect involved making triage decisions that often prioritized younger patients over the elderly. This scenario offers a valuable opportunity to examine and identify ethical issues through various philosophical lenses, including deontology, utilitarianism, virtue ethics, and theories of justice. It emphasizes the importance of navigating such dilemmas with a balanced ethical perspective, rather than relying exclusively on a single ethical framework.

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https://doi.org/https://doi.org/10.5840/jbee20252211

Or copy a formatted citation

@article{neilson2025,
  title        = {{Ethical Dilemmas and Decision-Making Challenges During Covid-19}},
  author       = {Neilson Journals Publishing},
  journal      = {Journal of Business Ethics Education},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.5840/jbee20252211},
}

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Ethical Dilemmas and Decision-Making Challenges During Covid-19

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.