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********************* CALL FOR PAPERS *********************
SUBMISSION DUE DATE: December 15, 2020
SPECIAL ISSUE ON Group Decision-Making Support Systems for
Pandemic Crises
International Journal of Decision Support System Technology
(IJDSST)
Guest Editors:
Prof. Manuel Mora, Autonomous University of Aguascalientes, Mexico
Prof. Gloria Phillips-Wren, Loyola University Maryland, USA
Prof. Jorge Marx Gomez, University of Oldenburg, Germany
Prof. Fen Wang, Central Washington University, USA
INTRODUCTION:
Group Decision-Making Support Systems (GDMSS) have been widely
investigated and used from their origins in the ’80s-’90s decades
(Huber, 1984; DeSanctis and Gallupe, 1987; Nunamaker et al; 1987;
Gray, 1987; Dickson et al., 1993; Fjermestad and Hiltz, 1998), and
until nowadays (Gray et al., 2011; Zarate et al., 2013; Mora et
al., 2014; Carneiro et al., 2019; Sakka et al., 2019; Ghavami et
al., 2019; Aghazadeh and Padoano, 2020).
GDMSS have been proposed for supporting critical group decisions
demanded from high- social and economic impact events (Belardo and
Harrald, 1992; Jefferson and Harrald, 2007; Levy and Taji, 2007;
Xu et al., 2015). Furthermore, GDMSS have also supported the group
decisions required in the healthcare sector in the last 30 years
ago (Hatcher, 1990; Liu et al., 2018).
Nowadays, the worldwide COVID-19 crisis with the highest impacts
on public health, economic and social dimensions have challenged
(Liu et al., 2020) the group decision-making process and GDMSS
that can provide effective, efficient and systemic-view support
including the impacted health, economic, and social dimensions
among other relevant ones (Rehfuess et al., 2019; Portela et al.,
2019). Furthermore, relevant studies have reported critical
misconceptions on public governmental decisions that occurred due
to the utilization of a single pandemic modeling perspective
(Ionnadis, 2020), which calls for more systemically designed GDMSS
(Luke and Stamatakis, 2012; Araz, 2013).
Consequently, whereas there is a vast availability of GDMSS, the
COVID-19 crisis has revealed that updated GDMSS concepts,
frameworks, methods and technologies (Hevner et al., 2004; Arnott
and Pervan, 2014), from a systemic perspective, are required to
address effectively, efficiently, and ethically a group
decision-making process conducted by policymakers in the context
of a pandemic crisis (Moghadas et al., 2009; Moberg et al., 2018;
Shearer et al., 2020; Squazzoni et al., 2020; Aghazadeh and
Padoano, 2020).
REFERENCES
Aghazadeh, A., & Padoano, E. (2020). A Literature Review of
the Concepts of Resilience and Sustainability in Group
Decision-Making. Sustainability, 12(7), 2602.
Araz, O. M. (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.
Belardo, S., & Harrald, J. (1992). A framework for the
application of group decision support systems to the problem of
planning for catastrophic events. IEEE transactions on Engineering
Management, 39(4), 400-411.
Carneiro, J., Saraiva, P., Conceição, L., Santos, R., Marreiros,
G., & Novais, P. (2019). Predicting satisfaction: perceived
decision quality by decision-makers in web-based group decision
support systems. Neurocomputing, 338, 399-417.
DeSanctis, G., & Gallupe, R. B. (1987). A foundation for the
study of group decision support systems. Management Science,
33(5), 589-609.
Dickson, G. W., Partridge, J. E. L., & Robinson, L. H. (1993).
Exploring modes of facilitative support for GDSS technology. MIS
Quarterly, 173-194.
Fjermestad, J, & Hiltz, S. R. (1998). An assessment of group
support systems experimental research: methodology and results.
Journal of Management Information Systems, 15(3), 7-149.
Ghavami, S. M., Maleki, J., & Arentze, T. (2019). A
multi-agent assisted approach for spatial Group Decision Support
Systems: A case study of disaster management practice.
International Journal of Disaster Risk Reduction, 38, 101223.
Gray, P. (1987). Group decision support systems. Decision support
systems, 3(3), 233-242.
Gray, P., Johansen, B., Nunamaker, J., Rodman, J., & Wagner,
G. R. (2011). GDSS past, present, and future. In Decision support
(pp. 1-24). Springer, New York, NY.
Hatcher, M. (1990). Uniqueness of group decision support systems
(GDSS) in medical and health applications. Journal of Medical
Systems, 14(6), 351-364.
Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004).
Design science in information systems research. MIS Quarterly,
75-105.
Huber, G. P. (1984). Issues in the design of group decision
support systems. MIS Quarterly, 8(3), 195-204.
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.
Jefferson, T. I., & Harrald, J. R. (2007). Collaborative
technology: providing agility in response to extreme events.
International Journal of Electronic Governance, 1(1), 79-93.
Levy, J. K., & Taji, K. (2007). Group decision support for
hazards planning and emergency management: A Group Analytic
Network Process (GANP) approach. Mathematical and Computer
Modelling, 46(7-8), 906-917.
Liu, H. C., You, X. Y., Tsung, F., & Ji, P. (2018). An
improved approach for failure mode and effect analysis involving
large group of experts: an application to the healthcare field.
Quality Engineering, 30(4), 762-775.
Liu, P., Zhong, X., & Yu, S. (2020). Striking a balance
between science and politics: understanding the risk-based
policy-making process during the outbreak of COVID-19 epidemic in
China. Journal of Chinese Governance, 1-15.
Luke, D. A., & Stamatakis, K. A. (2012). Systems science
methods in public health: dynamics, networks, and agents. Annual
Review of Public Health, 33, 357-376.
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.
Moghadas, S. M., Pizzi, N. J., Wu, J., & Yan, P. (2009).
Managing public health crises: the role of models in pandemic
preparedness. Influenza and Other Respiratory Viruses, 3(2),
75-79.
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.
Nunamaker Jr, J. F., Applegate, L. M., & Konsynski, B. R.
(1987). Facilitating group creativity: Experience with a group
decision support system. Journal of Management Information
Systems, 3(4), 5-19.
Portela, A., Tunçalp, Ö., & Norris, S. L. (2019). Taking a
complexity perspective when developing public health guidelines.
Bulletin of the World Health Organization, 97(4), 247.
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.
Sakka, A., Bosetti, G., Grigera, J., Camilleri, G., Fernández, A.,
Zaraté, P., ... & Sautot, L. (2019, June). UX Challenges in
GDSS: An Experience Report. In International Conference on Group
Decision and Negotiation (pp. 67-79). Springer, Cham.
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.
Journal of Artificial Societies and Social Simulation, 23(2).
Xu, X. H., Du, Z. J., & Chen, X. H. (2015). Consensus model
for multi-criteria large-group emergency decision making
considering non-cooperative behaviors and minority opinions.
Decision Support Systems, 79, 150-160.
Zaraté, P., Konate, J. & Camilleri, G. (2013) Collaborative
Decision Making Tools: A Comparative Study Based on
Functionalities. (2013) In: 13th International Conference Group
Decision and Negotiation (GDN 2013), 17-21 June, Stockholm,
Sweden.
OBJECTIVE OF THE SPECIAL ISSUE:
This special issue pursues to advance group decision-making
methods and tools to meet severe health, economic, and social
challenges that emerged from the Covid-19 pandemic crisis in this
decade. High-quality conceptual and empirical research papers are
invited from the international interdisciplinary scientific
community interested in helping to provide better group
decision-making support to policymakers in the context of a
pandemic crisis.
RECOMMENDED TOPICS:
Topics to be addressed in this special issue include (but are not
limited to) the following ones:
* Conceptual analysis of the WHO-INTEGRATE Evidence to Decision
Framework with a group decision-making perspective.
* Conceptual group decision-making methods derived from the
WHO-INTEGRATE Evidence to Decision Framework.
* Empirical designs and evaluations of GDMSS tools derived from
the WHO-INTEGRATE Evidence to Decision Framework.
* Systems science methods applied in group decision-making methods
and tools in the context of pandemic crisis.
* Descriptive Analytics applied in group decision-making methods
and tools in the context of a pandemic crisis.
* Predictive Analytics applied in group decision-making methods
and tools in the context of a pandemic crisis.
* Prescriptive Analytics applied in group decision-making methods
and tools in the context of a pandemic crisis.
* Efficient, effective, and usable MADM methods for enhancing
GDMSS.
* System Science methods (System Dynamics, Agent-based Simulation,
and Network Analysis) for enhancing GDMSS.
SUBMISSION PROCEDURE:
Researchers and practitioners are invited to submit papers for
this special theme issue on Group Decision-Making Support Systems
for Pandemic Crises on or before December 15, 2020. All
submissions must be original and may not be under review by
another publication. INTERESTED AUTHORS SHOULD CONSULT THE
JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at
http://www.igi-global.com/publish/contributor-resources/before-you-write/.
All submitted papers will be reviewed on a double-blind, peer
review basis. Papers must follow APA style for reference
citations.
PUBLICATION SCHEDULE:
* first submission deadline - December 15, 2020
* first editorial decision deadline - February 15, 2020
* second version submission deadline (conditioned papers) - March
15, 2020
* definitive editorial decision deadline - April 15, 2020
* camera-ready paper submission deadline - May 15, 2020
All inquires and paper submission should be directed to the
attention of:
Prof. Manuel Mora – lead guest editor
International Journal of Decision Support Technology (IJDSST)
E-mail:
jose.mora@edu.uaa.mx<mailto:jose.mora@edu.uaa.mx>
* * * * * *
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