Skip to main content
Log in

Transitioning From Dynamic Decision Support to Context-Aware Multi-Party Coordination: A Case for Emergency Response

  • Published:
Group Decision and Negotiation Aims and scope Submit manuscript

Abstract

In this paper, a general framework of context-aware multi-party coordination systems is proposed which extends the concept of dynamic decision making and functionality of dynamic decision making support systems in response to large-scale complex events. Using disaster responses as illustrative examples, event responders and decision makers face dynamic and complex problems with environmental, organizational, and activity-based issues. These issues are addressed by incorporating context-awareness, multi-party relationship management, and task-based coordination components into a framework for context-aware multi-party coordination systems.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Notes

  1. Mashup is a common internet term to represent websites or web applications that aggregate data from two or more data feeds or functionalities on the web using application programming interfaces to create a new visualization.

  2. http://www.esi911.com/esi/

  3. http://www.nc4.us/eteam.php

  4. http://www.esri.com/software/arcgis

  5. http://www.nicherms.com/

  6. http://www.intergraph.com/sgi/default.aspx

  7. http://www.masas-x.ca/en/

References

  • Abrahamsson M, Hassel H, Tehler H (2010) Towards a system-oriented framework for analysing and evaluating emergency response. J Conting Crisis Manag 18(1):14–25

    Article  Google Scholar 

  • Benssam A, Nouali-Taboudjemat N, Nouali O (2013) Towards in IT-based platform for disaster risks management in Algeria. In: Proceedings of the 10th international ISCRAM conference: Baden-Baden, Germany, pp 72–77

  • Berlin J, Carlström E (2011) Why is collaboration minimised at the accident scene? A critical study of a hidden phenomenon. Disaster Prev Manag 20(2):159–171

    Article  Google Scholar 

  • Brehmer B (1992) Dynamic decision making: human control of complex systems. Acta Psychologica 81(3):211–241

    Article  Google Scholar 

  • Caunhye A, Nie X, Pokharel S (2011) Optimization models in emergency logistics: a literature review. Socio-Econ Plan Sci 46(1):4–13

    Article  Google Scholar 

  • Chen G, Kotz D (2000) A survey of context-aware mobile computing research. Dartmouth Computer Science Technical Report TR2000-381:1–16

  • Chen R, Sharman R, Rao H, Upadhyaya S (2008) Coordination in emergency response management. Commun ACM 51(5):66–73

    Article  Google Scholar 

  • Comfort L (2000) Information technology and efficiency in disaster response: the Marmara, Turkey Earthquake, 17 August 1999. (Quick Response Report #130). Retrieved from Quick Response Grant Program Main Page via Natural Hazards Center: http://www.colorado.edu/hazards/research/qr/

  • Centre for Security Science (CSS) (n.d.). MASAS-X: Canada’s Multi-Agency Situational Awareness Systems (MASAS) National Information Exchanges (MASAS-X) Pilot Project. Retrieved Feb. 28, 2013 from http://www.masas-x.ca/en/

  • Danish Refugee Council (DRC) (2008) Emergency logistics and transport management, programme handbook, Chapter 8i, 1–9. Retrieved December 7, 2011 from http://www.drc.dk/fileadmin/uploads/pdf/IA_PDF/relief_work/chapter_8i%20-%20Emergency%20Logistics%20and%20Transport%20Management.pdf

  • Degrossi L, do Amaral G, de Vasconcelos E, de Albuquerque J, Ueyama J (2013) Using wireless sensor networks in the sensor web for flood monitoring in Brazil. In: Proceedings of the 10th international ISCRAM conference: Baden-Baden, Germany, pp 458–462

  • DeSanctis G, Gallupe RB (1987) A foundation for the study of group decision support systems. Manag Sci 33(5):589–609

    Article  Google Scholar 

  • Dey A, Abowd G, Salber D (2001) A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. Human–Comput Interact 16:97–166

    Article  Google Scholar 

  • Edwards W (1962) Dynamic decision theory and probabilistic information processings. Human Fact J Human Fact Ergonom Soc 4(2):59–73

    Google Scholar 

  • Ellebrecht N, Feldman K, Kaufmann S (2013) IT’s more about speed. The Impact of IT on the management of mass casualty incidents in Germany. In: Proceedings of the 10th international ISCRAM conference: Baden-Baden, Germany, pp 391–400

  • ESRI (2008) Geographic information systems providing the platform for comprehensive emergency management. ESRI. Retrieved Feb. 28, 2013 from http://www.esri.com/library/whitepapers/pdfs/gis-platform-emergency-management.pdf

  • Fischer H, Gregoire K, Scala J, Letukas L, Mellon J, Romine S, Turner D (2006) The emergency management response to Hurricane Katrina: as told by the first responders—a case study of what went wrong and recommendations for the future. (Quick Response Report #189). Retrieved from Quick Response Grant Program Main Page via Natural Hazards Center: http://www.colorado.edu/hazards/research/qr/

  • Gaynor M, Seltzer M, Moulton S, Freedman J (2005) A dynamic, data-driven, decision support system for emergency medical services. Lect Notes Comput Sci 3525:703–711

    Article  Google Scholar 

  • Gorry G, Morton M (1971) A framework for management information systems. Sloan Manag Rev 13(1): 55–70

    Google Scholar 

  • Gonzalez C (2005) Decision support for real-time, dynamic decision-making tasks. Organ Behav Human Decis Process 96(2):142–154

    Article  Google Scholar 

  • Grant R (1996) Toward a knowledge-based theory of the firm. Strateg Manag J 17:109–122

    Article  Google Scholar 

  • Hale J (2009) A layered communication architecture for the support of crisis response. J Manag Inf Syst 14(1):235–255

    Google Scholar 

  • International Atomic Energy Agency(IAEA) (2011) Final report of the international mission on remediation of large contaminated areas off-site the Fukushima Dai-ichi NPP. Retrieved November 28, 2011 from http://www.iaea.org/newscenter/focus/fukushima/final_report151111.pdf

  • Janssen M, Lee JK, Bharosa N, Creswell A (2010) Advances in multi-agency disaster management: key elements in disaster research. Inf Syst Front 12(1):1–7

    Article  Google Scholar 

  • Kapucu N (2005) Interorganizational coordination in dynamic context: networks in emergency response management. Connections 26(2):33–48

    Google Scholar 

  • Kovács G, Spens K (2007) Humanitarian logistics in disaster relief operations. Int J Phys Distrib Logist Manag 37(2):99–114

    Article  Google Scholar 

  • Kovács G, Spens K (2009) Identifying challenges in humanitarian logistics. Int J Phys Distrib Logist Manag 39(6):506–528

    Article  Google Scholar 

  • Lacity M, Janson M (1994) Understanding qualitative data: a framework of text analysis methods. J Manag Inf Syst 11(2):137–155

    Google Scholar 

  • Liu S, Palen L (2010) The new cartographers: crisis map mashups and the emergence of neogeographic practice. Cartogr Geogr Inf Sci 37(1):69–90

    Article  Google Scholar 

  • Louverieris P, Gregoriades A, Garn W (2010) Assessing critical success factors for military decision support. Expert Syst Appl 37(12):8229–8241

    Article  Google Scholar 

  • Malone T, Crowston K (1994) The interdisciplinary study of coordination. ACM Comput Surv 26(1):87–119

    Article  Google Scholar 

  • Martinez C, Cane S, Abdul-Rauf S, Smith K, Lee K (2008) Application of network visualization to identify gaps in complex information system architectures. The Mitre Corporation. Retrieved June 6, 2013 from http://www.dodccrp.org/events/13th_iccrts_2008/CD/html/papers/070.pdf

  • Mehra P (2012) Context-aware computing: beyond search and location-based services. IEEE Internet Comput 16(2):12–16

    Article  Google Scholar 

  • Meier P (2009) Proposing the field of Crisis mapping. Retrieved May 28, 2013 from http://irevolution.net/2009/08/08/proposing-crisis-mapping/

  • Meyer E, Wichmann D, Büsch H, Boll S (2012) Supporting mobile collaboration in spatially distributed workgroups with digital interactive maps. Mobile Netw Appl 17(3):365–375

    Article  Google Scholar 

  • Miller P (2000) Interoperability. What is it and Why should I want it? Ariadne, 24

  • Mimura N, Yasuhara K, Kawagoe S, Yokoki H, Kazama S (2011) Damage from the Great East Japan Earthquake and Tsunami: a quick report. Mitig Adapt Strateg Global Change 16:803–818

    Article  Google Scholar 

  • Mitroff I, Linstone H (1993) Unbounded mind: breaking the chains of traditional business thinking. Oxford University Press, Cary

    Google Scholar 

  • Onishi N, Fackler M (2011) In: Nuclear crisis, crippling mistrust. New York Times Asia Pacific. Retrieved December 11, 2011 from http://joomla.sns-online.ch/cms/images/stories/unterlagen/20110613_mistrust-during-nuclear-crisis.pdf

  • Orcutt J (2013) Earth system monitoring introduction. In: Orcutt J (ed) Earth system monitoring. Springer, New York, pp 1–5

    Chapter  Google Scholar 

  • Petak W (1985) Emergency management: a challenge for public administration. Public Admin Rev 45:3–7

    Article  Google Scholar 

  • Pérez I, Cabrerizo F, Herrera-Viedma E (2010) Mobile decision support system for dynamic group decision-making problems. IEEE Trans Syst Man Cybern Part A Syst Humans 40(6):1244–1256

    Article  Google Scholar 

  • Putnam L (1994) Productive conflict: negotiation as implicit coordination. Int J Confl Manag 5(3):284–298

    Article  Google Scholar 

  • Robbins L (2010) Haiti relief effort faces ’Major Challenge’. The New York Times. Retrieved July 13, 2011 from http://www.nytimes.com/2010/01/15/world/americas/15relief.html

  • Seeger M (2006) Best practices in crisis communication: an expert panel process. J Appl Commun Res 34(3):232–244

    Article  Google Scholar 

  • Shen S, Shaw M (2004) Managing coordination in emergency response systems with information technologies. In: Proceedings of the tenth Americas conference on information systems, pp 2110–2120

  • Shim J, Warkentin M, Courtney JF, Power DJ, Sharda R, Carlsson C (2002) Past, present, and future of decision support technology. Decis Support Syst 33(2):111–126

    Article  Google Scholar 

  • Simpson N, Hancock P (2009) Fifty years of operational research and emergency response. J Oper Res Soc 60:S126–S139

    Article  Google Scholar 

  • Smirnov A, Levashova T, Shilov N (2013) Context-based knowledge fusion patterns in decision support system for emergency response. In: Proceedings of the 10th international ISCRAM conference: Baden-Baden, Germany, pp 597–606

  • Sorensen L, Stanton N (2012) Y is best: how distributed situational awareness is mediated by organisational structure and correlated with task success. Safety Science

  • Thomas S, Cutter S, Hodgson M, Gutekunst M, Jones S (2002) Use of spatial data and geographic technologies in response to the September 11 terrorist attack. (Quick Response Report #153). Retrieved from Quick Response Grant Program Main Page via Natural Hazards Center: http://www.colorado.edu/hazards/research/qr/

  • Turoff M, Chumer M, Van de Walle B, Yao X (2004) The design of a dynamic emergency response management information systems (DERMIS). J Inf Technol Theory Appl 5(4):1–36

    Google Scholar 

  • US Government Accountability Office (US GAO) (2008) National disaster response: FEMA should take action to improve capacity and coordination between government and voluntary sectors. (Publication No. GAO-08-369). Retrieved from Federal Digital System Main Page via GPO Access database: http://www.gpo.gov/fdsys/

  • US Government Accountability Office (US GAO) (2009) Emergency communications: vulnerabilities remain and limited collaboration and monitoring Hamper Federal efforts. (Publication No. GAO -09-604). Retrieved from Federal Digital System Main Page via GPO Access database: http://www.gpo.gov/fdsys/

  • US Government Accountability Office (US GAO) (2010) Defense management: US southern command demonstrates interagency Collaboration, but its Haiti disaster response revealed challenges conducting a large military operation. (Publication No. GAO-10-801). Retrieved from Federal Digital System Main Page via GPO Access database: http://www.gpo.gov/fdsys/

  • Xu Z, Yuan Y, Ji S (2009) A decision analysis framework for emergency notification: the case of the Sichuan earthquake. Int J Emerg Manag 6(2):227–243

    Article  Google Scholar 

  • Yuan Y, Detlor B (2005) Intelligent mobile crisis response systems. Commun ACM 48(2):95–98

    Article  Google Scholar 

  • Zerger A, Smith D (2003) Impediments to using GIS for real-time disaster decision support. Comput Environ Urban Syst 27(2):123–141

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Steven Way.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Way, S., Yuan, Y. Transitioning From Dynamic Decision Support to Context-Aware Multi-Party Coordination: A Case for Emergency Response. Group Decis Negot 23, 649–672 (2014). https://doi.org/10.1007/s10726-013-9365-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10726-013-9365-3

Keywords

Navigation