[AISWorld] SPECIAL ISSUE ON Group Decision-Making Support Systems for Pandemic Crises - CFP IJDSST

Mon Jun 8 11:46:43 EDT 2020

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)

https://www.igi-global.com/journal/international-journal-decision-support-system/1120

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 (WHO, 2009; Moghadas et al., 2009; Moberg et al., 2018; Shearer et al., 2020; Squazzoni et al., 2020; Aghazadeh and Padoano, 2020).

REFERENCES

Aghazadeh, A., and 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., and 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., and 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., Conceicao, L., Santos, R., Marreiros, G., and Novais, P. (2019). Predicting satisfaction: perceived decision quality by decision-makers in web-based group decision support systems. Neurocomputing, 338, 399-417.

DeSanctis, G., and 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., and Robinson, L. H. (1993). Exploring modes of facilitative support for GDSS technology. MIS Quarterly, 173-194.

Fjermestad, J, and 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., and 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., and 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., and 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., and 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., and 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., and 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., and 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., and 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., ... and 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., and 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., and 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., and 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., and 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., and 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., ... and Sautot, L. (2019). 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., and 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., ... and 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).

WHO (2009). WHO Guide to identifying the Economic Consequences of Disease and Injury. Department of Health Systems Financing
Health Systems and Services, World Health Organization, Geneva, Switzerland.

Xu, X. H., Du, Z. J., and 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. and 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, 2021

·        second version submission deadline (conditioned papers) - March 15, 2021

·        definitive editorial decision deadline - April 15, 2021

·        camera-ready paper submission deadline - May 15, 2021

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 at edu.uaa.mx<mailto:jose.mora at edu.uaa.mx>

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

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Prof. Dr. José Manuel Mora Tavarez
Depto. de Sistemas de Información
Centro de Ciencias Básicas
Universidad Autónoma de Aguascalientes
Ave. Universidad 940
Aguascalientes, AGS. México 20131
Email: jose.mora at edu.uaa.mx
<https://www.researchgate.net/profile/Manuel_Mora>
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Scholar Google Weblink<https://scholar.google.com.mx/citations?user=97rTgbkAAAAJ&hl=en&oi=sra>
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