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Journal of Decision Systems
Special Issue on Decision-Making Frameworks and Methods for Crisis
Management in a Global Pandemic
https://www.journalconferencejob.com/decision-making-frameworks-pandemic
SUBMISSION DUE DATE: October 31, 2020
CONTEXT AND RELEVANCE
Global pandemics can be considered infrequent events (Lepan,
2020). In the 1900-2020 time period, there were nine pandemics
including the Spanish Flu (1918-1919), HIV/AIDS (1981 - present),
MERS (2015 - present) and now COVID-19 (2020). These pandemics
have had significant impacts on global health, and some of them,
including the current COVID-19 pandemic, have drastically modified
all human dimensions - health, economic, educational, social, and
recreational (Walker et al., 2020; IMF, 2020; Burgess &
Sievertsen; Nicola et al., 2020; Liu et al., 2020; Gössling et
al., 2020).
Thus, the pressing global COVID-19 pandemic calls for scientific
efforts to cope with its consequential negative effects on human
health and activities. One way to mitigate some of these impacts
is to develop and employ decision systems and analytics to provide
data and analysis to support decision making. Descriptive,
predictive and prescriptive analytics (Delen & Ram, 2018)
together with advanced decision-making processes can provide
effective, efficient, and ethical decisional support to core
stakeholders and decision makers (Araz, 2013; Mora et al., 2014;
Moberg et al., 2018; Rehfuess et al., 2019; Currie et al., 2020;
Shearer et al., 2020; Squazzoni et al., 2020).
Consequently, the COVID-19 crisis has revealed that new and
updated decisional concepts, frameworks, methods and technologies
(Hevner et al., 2004; Arnott & Pervan, 2014) are required to
assist decision makers and policymakers in the context of a global
pandemic crisis (Ionnadis, 2020; Currie et al., 2020).
OBJECTIVE OF THE SPECIAL ISSUE
The objective of this special issue is to advance decision support
methods and decision-making processes to efficiently, effectively,
and ethically manage critical decisions on core human dimensions
(health, economic, educational, social, and recreational) impacted
by global pandemics such as COVID-19. High-quality conceptual and
empirical research papers are invited from
the international interdisciplinary scientific community
interested in helping to devise potential solutions from a
decision-making perspective.
RECOMMENDED TOPICS
Consistently with the overall aim of the Journal of Decision
Systems, the following topics are welcome in this special issue
(but are not limited to):
* Theoretical aspects of decision making in a crisis
* Methods and applications of decision support in a crisis
* Machine learning to support decision making in a crisis
* Case studies of decision support in a crisis
* Decision systems with descriptive analytics (visualization,
dashboards, reporting, spatial systems)
* Decision systems with predictive analytics (data mining,
text/web mining, machine learning, soft systems)
* Decision systems with prescriptive analytics (DSS, MADM, MCDM,
KBS, KMS, networking science, optimization, simulation)
* Collaborative decision-making frameworks, methods, and processes
* Distributed decision-making frameworks, methods, and processes
* Ethical decision-making frameworks, methods, and processes
* Post-pandemic era implications for business decision makers
* Post-pandemic era implications for policy makers
IMPORTANT DATES
First submission deadline – October 31, 2020
First editorial decision deadline – December 15, 2020
Second version submission deadline (conditioned papers) - January
31, 2021
Definitive editorial decision deadline – February 28, 2021
Camera-ready paper submission deadline – March 15, 2021
IMPORTANT NOTES
Information on the Journal of Decision
Systems
<https://www.tandfonline.com/action/journalInformation?show=aimsScope&journalCode=tjds20>
Information about submission
guidelines
<https://www.tandfonline.com/action/authorSubmission?show=instructions&journalCode=tjds20>
GUEST EDITORS
Prof. Gloria Phillips-Wren, Loyola University Maryland, USA,
gwren@loyola.edu
Prof. Manuel Mora, Autonomous University of Aguascalientes,
Mexico,
jose.mora@edu.uaa.mx
Prof. Fen Wang, Central Washington University, USA,
fen.wang@cwu.edu
Prof. Jorge Marx Gomez, University of Oldenburg, Germany,
jorge.marx.gomez@uni-oldenburg.de
REFERENCES
Araz, O. (2013). Integrating complex system dynamics of pandemic
influenza with a multi-criteria decision making model for
evaluating public health strategies. Journal of Systems Science
and Systems Engineering, 22(3), 319-339.
Arnott, D., & Pervan, G. (2014). A Critical Analysis of
Decision Support Systems Research Revisited: The Rise of Design
Science. Journal of Information Technology, 29(4), 269-293.
Burgess, S., & Sievertsen, H. H. (2020). Schools, skills, and
learning: The impact of COVID-19 on education. VoxEu. org, 1.
Online document at:
https://voxeu.org/article/impact-covid-19-education
Currie, C. S., Fowler, J. W., Kotiadis, K., Monks, T., Onggo, B.
S., Robertson, D. A., & Tako, A. A. (2020). How simulation
modelling can help reduce the impact of COVID-19. Journal of
Simulation, 1-15.
Delen, D., & Ram, S. (2018). Research challenges and
opportunities in business analytics. Journal of Business
Analytics, 1(1), 2-12.
Gössling, S., Scott, D., & Hall, C. M. (2020). Pandemics,
tourism and global change: a rapid assessment of COVID-19. Journal
of Sustainable Tourism, 1-20.
Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004).
Design science in information systems research. MIS Quarterly,
75-105.
IMF (2020). World Economic Outlook, April 2020 - The Great
Lockdown. International Monetary Fund, Washington, D.C.
Ioannidis, J.P. (2020).Coronavirus disease 2019 - the harms of
exaggerated information and non-evidence-based measures. European
Journal of Clinical Investigation, 50(4), e13222.
LePan, N. (2020). A visual history of pandemics. Document on line
at
https://www.weforum.org/agenda/2020/03/a-visual-history-of-pandemics
Liu, P., Zhong, X., & Yu, S. (2020). Striking a balance
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Moberg, J., Oxman, A. D., Rosenbaum, S., Schünemann, H. J.,
Guyatt, G., Flottorp, S., ... & Alonso-Coello, P. (2018). The
GRADE Evidence to Decision (EtD) framework for health system and
public health decisions. Health research policy and systems,
16(1), 45.
Mora, M., Phillips-Wren, G., & Wang, F. (2014). An integrative
evaluation framework for determining the value of group decision
support systems. Engineering Management Journal, 26(2), 24-38.
Nicola, M., Alsafi, Z., Sohrabi, C., Kerwan, A., Al-Jabir, A.,
Iosifidis, C., ... & Agha, R. (2020). The socio-economic
implications of the coronavirus and COVID-19 pandemic: a review.
International Journal of Surgery. Online document at:
https://www.ncbi.nlm.nih.gov/p mc/articles/PMC7162753/
Rehfuess, E. A., Stratil, J. M., Scheel, I. B., Portela, A.,
Norris, S. L., & Baltussen, R. (2019). The WHO-INTEGRATE
evidence to decision framework version 1.0: integrating WHO norms
and values and a complexity perspective. BMJ global health,
4(Suppl 1), e000844.
Shearer, F. M., Moss, R., McVernon, J., Ross, J. V., & McCaw,
J. M. (2020). Infectious disease pandemic planning and response:
Incorporating decision analysis. PLoS Medicine, 17(1).
Squazzoni, F., Polhill, J. G., Edmonds, B., Ahrweiler, P., Antosz,
P., Scholz, G., ... & Gilbert, N. (2020). Computational models
that matter during a global pandemic outbreak: A call to action.
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Walker, P., Whittaker, C., Watson, O., Baguelin, M., Ainslie, K.,
Bhatia, S., ... & Cucunuba Perez, Z. (2020). Report 12: The
global impact of COVID-19 and strategies for mitigation and
suppression. Imperial College London. Online document at:
https://dsprdpub.cc.ic.ac.uk:8443/handle/10044/1/77735
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