Adapting supply chain operations in anticipation of and during the COVID-19 pandemic

Rozhkov, Maxim; Ivanov, Dmitry; Blackhurst, Jennifer; Nair, Anand

doi:10.1016/j.omega.2022.102635

Cited by 127 publications

(45 citation statements)

References 100 publications

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“…Each mechanism corresponds to a different business scenario (BS1-BS5) which expresses an alternative mitigation policy adopted by the manufacturer in dealing with disaster effects. In the first scenario (BS1) ( Ivanov, 2020a , Ivanov, 2020b ; Rozhkov et al, 2022 ; Shahed et al, 2020 ), the system's response is examined by developing and holding different base stocks of serviceable inventory as desired states during the pre-disaster period. These stock levels are endogenously defined by the dynamics of wholesaler orders to satisfy demand throughout a whole long-term planning-horizon (active CM1).…”

Section: System and Problem Descriptionmentioning

confidence: 99%

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An integrated System Dynamics model for Closed Loop Supply Chains under disaster effects: The case of COVID-19

Katsoras

Georgiadis

2022

International Journal of Production Economics

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Section: System and Problem Descriptionmentioning

confidence: 99%

“…The first scenario is indicated by Ivanov, 2020a , Ivanov, 2020b , Rozhkov et al (2022) and Shahed et al (2020) , who have underlined the necessity for different inventory level policies in order to mitigate the risk owing to the COVID-19 pandemic, as well as to maximize the total profit of SCs.…”

Section: Introductionmentioning

confidence: 99%

An integrated System Dynamics model for Closed Loop Supply Chains under disaster effects: The case of COVID-19

Katsoras

Georgiadis

2022

International Journal of Production Economics

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“…However, the control measures resulted in a variety of undesired outcomes, such as an economic downturn and disruptions to the global supply chain network (SCN) [1] , [2] . Researchers attempt to construct a viable SCN that has the capability to survive and persist in a changing environment with long-lasting effects [3] , [4] , [5] , [6] . Similarly, public transport operators endeavored to adopt long-term management mechanisms that would ensure the sustainability of their operations.…”

Section: Introductionmentioning

confidence: 99%

Social distancing and revenue management—A post-pandemic adaptation for railways

Haque

Hamid

2023

Omega

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“…In principle, ICT contributes to solving many problems, and creates new opportunities to challenges faced by traditional healthcare [ 7 , 8 , 9 , 10 ]. ICT has been recognized as an essential tool in enhancing healthcare quality, accessibility, and delivery [ 11 , 12 , 13 ]. It is currently challenging to imagine a healthcare entity not using some form of IT solutions.…”

Section: Introductionmentioning

confidence: 99%

Organizational e-Health Readiness: How to Prepare the Primary Healthcare Providers’ Services for Digital Transformation

Kruszyńska-Fischbach

Sysko–Romańczuk

Napiórkowski

et al. 2022

IJERPH

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The COVID-19 pandemic has had two main consequences for the organization of treatment in primary healthcare: restricted patients’ access to medical facilities and limited social mobility. In turn, these consequences pose a great challenge for patients and healthcare providers, i.e., the limited personal contact with medical professionals. This can be eased by new digital technology. While providing solutions to many problems, this technology poses several organizational challenges for healthcare system participants. As the current global situation and the outbreak of the humanitarian crisis in Europe show, these and other likely emergencies amplify the need to learn the lessons and prepare organizations for exceptional rapid changes. Therefore, a question arises of whether organizations are ready to use modern e-health solutions in the context of a rapidly and radically changing situation, and how this readiness can be verified. The aim of this article is to clarify the organizational e-heath readiness concept of Polish primary healthcare units. This study employs the triangulation of analytical methods, as it uses: (i) a literature review of e-health readiness assessment, (ii) primary data obtained with a survey (random sampling of 371 managers of PHC facilities across Poland) and (iii) the Partial Least Squares Structural Equation Modeling (PLS-SEM) method, employed to estimate the structural model. The evaluation of the model revealed that its concept was adequate for more mature entities that focus on the patient- and employee-oriented purpose of digitization, and on assuring excellent experience derived from a consistent care process. In the context of patients’ restricted access to medical facilities and limited social mobility, a simpler version of the research model assesses the readiness more adequately. Finally, the study increases the knowledge base of assets (resources and capabilities), which will help healthcare systems better understand the challenges surrounding the adoption and scaling of e-health technologies.

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Adapting supply chain operations in anticipation of and during the COVID-19 pandemic

Cited by 127 publications

References 100 publications

An integrated System Dynamics model for Closed Loop Supply Chains under disaster effects: The case of COVID-19

An integrated System Dynamics model for Closed Loop Supply Chains under disaster effects: The case of COVID-19

Social distancing and revenue management—A post-pandemic adaptation for railways

Organizational e-Health Readiness: How to Prepare the Primary Healthcare Providers’ Services for Digital Transformation

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