Information and communication technology in emergency organizations: Applications, opportunities, and challenges




emergency management, emergency organization, emergency process, disaster management, information and communication technology, digitization


The increasing complexity of the globally connected world in the twenty-first century leads to an expansion of the area of operations of so-called emergency organizations* with regard to their aims, tasks, and exposure to risks by fulfilling their intended mission. On the other side, the process of globalization is accompanied by continuous further development of existing information technologies (ICTs) as well as exploration of new forms of ICT. These technologies provide the chance for emergency organizations to gain the ability to act more flexible and effective within their prescribed tasks. As aspects of digitization could have a great impact on many parts of the processes and domains in emergency organizations, a broad view on the topic area is needed. To that end, this article at hand deals with the development of a systematic approach to structure ICT technologies and further approaches and corresponding elements of emergency organizations to find connecting links between both areas. For this purpose, a literature review was conducted. It takes up exemplary sources from literature and describes them along a standardized emergency process. The results of this review led to the development of an ad hoc classification system, which structures and clusters relevant information technologies for emergency organizations. It builds upon the standardized emergency process and could provide a foundation for emergency organizations as well as academic scholars for further information gathering and research. Furthermore, exemplary challenges and opportunities—based on the findings of the review—are provided.


* In connection with this article, the term “emergency organization” is narrowly defined. This means that the term only includes organizations, which perform “operative” emergency operations. Examples are police, fire brigade, and ambulance. Excluded are stationary organizations, for example, hospitals.


Author Biographies

Eva-Maria Kern, PhD, MBA

Professor, Knowledge Management and Business Process Design, Universität der Bundeswehr München, Neubiberg, Germany

Tobias Schuhmann, MSc

Universität der Bundeswehr München, Neubiberg, Germany

Johannes C. Müller, PhD

Stiftung Familienunternehmen, Munich, Germany


Quarantelli EL: Problematical aspects of the information/communication revolution for disaster planning and research: Ten nontechnical issues and questions. Disaster Prev Manag. 1997; 6(2): 94-106. DOI: 10.1108/09653569710164053.

Kapucu N, Garayev V, Wang X: Sustaining networks in emergency management: A study of counties in the United States. Public Performance Manag Rev. 2013; 37(1): 104-133.

Ludík T, Rácˇek J: Process methodology for emergency management. In Hrˇebícˇek J (ed.): IFIP Advances in Information and Communication Technology: Vol. 359. Environmental Software Systems: Frameworks of eEnvironment; 9th IFIP WG 5.11 International Symposium, ISESS 2011, Brno, Czech Republic, June 27-29, 2011; Proceedings (vol. 359). Berlin: Springer, 2011: 302-309. DOI: 10.1007/978-3-642-22285-6_33.

Ardila L, Pérez-Llopis I, Esteve M, et al.: Interoperable architecture for joint real/virtual training in emergency management using the MPEG-V standard. Comput Stand Interfaces. 2015; 41(41): 39-55.

Krampe S, Godschachner A, Wirnsberger S, et al.: Rettungsdienstrouting für das örk Steiermark. AGIT J. 2017; 3: 295-300.

Sakurai M, Murayama Y: Information technologies and disaster management—Benefits and issues. Progress Disaster Sci. 2019; 2: 100012.

Longo F: Emergency simulation: State of the art and future research guidelines. SCS M&S Magazine. April, no. 2, 2010.

Webster J, Watson RT: Analyzing the past to prepare for the future: Writing a literature review. MIS Q. 2002; 26(2): xiii-xxiii.

Tranfield D, Denyer D, Smart P: Towards a methodology for developing evidence-informed management knowledge by means of systematic review. Br J Manag. 2003; 14(3): 207-222. DOI: 10.1111/1467-8551.00375.

Parsons T, Shils EA: Toward a General Theory of Action. Manhattan, NY: Harper & Row, 1962.

Bem DJ: Writing a review article for psychological bulletin. Psychol Bull. 1995; 118(2): 172-177.

McLoughlin D: A framework for integrated emergency management. Public Adm Rev. 1985; 45: 165-172.

Erdelj M, Król M, Natalizio E: Wireless sensor networks and multi-UAV systems for natural disaster management. Comput Netw. 2017; 124(124): 72-86.

Kaku K: Satellite remote sensing for disaster management support: A holistic and staged approach based on case studies in Sentinel Asia. Int J Disaster Risk Reduct. 2019; 33: 417-432.

Kato A, Wakabayashi H, Hayakawa Y, et al.: Tropical forest disaster monitoring with multi-scale sensors from terrestrial laser, UAV, to satellite radar. In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017: 2883-2886.

Santilli G, Vendittozzi C, Cappelletti C, et al.: Cubesat constellations for disaster management in remote areas. Acta Astronautica. 2018; 145(145): 11-17.

Cohen D, Sevdalis N, Taylor D, et al.: Emergency preparedness in the 21st century: Training and preparation modules in virtual environments. Resuscitation. 2013; 84(1): 78-84.

Gul M, Guneri AF: A comprehensive review of emergency department simulation applications for normal and disaster conditions. Comput Ind Eng. 2015; 83(83): 327-344.

Li C, Liang W, Quigley C, et al.: Earthquake safety training through virtual drills. IEEE Trans Visual Comput Graphics. 2017; 23(4): 1275-1284.

Hildebrand E: Effizientere notrufbearbeitung durch integrierte regionalleitstelle. Notfall+Rettungsmedizin. 2006; 9: 473-477.

Kapucu N, Arslan T, Demiroz F: Collaborative emergency management and national emergency management network. Disaster Prevent Manag. 2010; 19(4): 452-468.

Crump J: What are the police doing on twitter? Social media, the police and the public. Policy Internet. 2011; 3(4): 1-27.

Houston JB, Hawthorne J, Perreault MF, et al.: Ocial media and disasters: A functional framework for social media use in disaster planning, response, and research. Disasters. 2015; 39(1): 1-22.

Pötzsch H: The emergence of iWAR: Changing practices and perceptions of military engagement in a digital era. New Media Soc. 2015; 17(1): 78-95.

Horita FEA, Degrossi LC, de Assis LFG, et al.: The use of volunteered geographic information (VGI) and crowdsourcing in disaster management: A systematic literature review. 2013. 19th Americas Conference on Information Systems, AMCIS 2013 – Hyper-connected World: Anything, Anywhere, Anytime. 5.

Nestler S: Flächendeckende Kommunikation im Stromausfall durch regionale IKT. Mensch Und Computer 2017-Workshopband, 2017.

Eklund P, Johansson M, Karlsson J, et al.: BPMN and its semantics for information management in emergency care: BPMN and its semantics for information management in emergency care. In 2009 Fourth International Conference on Computer Sciences and Convergence Information Technology, 2009: 273-278.

Hofmann M, Betke H, Sackmann S: Process-oriented disaster response management: A structured literature review. Bus Process Manag J. 2015; 21: 966-987.

Lamine E, Fontanili F, Di Mascolo M, et al.: Improving the management of an emergency call service by combining process mining and discrete event simulation approach. In Working Conference on Virtual Enterprises. Berlin: Springer, 2015: 535-546.

Wilson L, Rawlinson A, Frost A, et al.: 3d digital documentation for disaster management in historic buildings: Applications following fire damage at the mackintosh building, the Glasgow School of Art. J Cult Heritage. 2018; 31: 24-32. DOI: 10.1016/j.culher.2017.11.012.

Muhammad K, Ahmad J, Baik SW: Early fire detection using convolutional neural networks during surveillance for effective disaster management. Neurocomputing. 2018; 288: 30-42. DOI: 10.1016/j.neucom.2017.04.083.

Chen R, Sharman R, Rao HR, et al.: Data model development for fire related extreme events: An activity theory approach. MISQ. 2013; 37: 125-147.

Renaudin V, Yalak O, Tomé P, et al.: Indoor navigation of emergency agents. Eur J Navig. 2007; 5: 36-45.

Hristidis V, Chen SC, Li T, et al.: Survey of data management and analysis in disaster situations. J Syst Softw. 2010; 83(10): 1701-1714.

Zheng L, Shen C, Tang L, et al.: Data mining meets the needs of disaster information management. IEEE Trans Hum Mach Syst. 2013; 43(5): 451-464.

Dorasamy M, Raman M, Kaliannan M: Knowledge management systems in support of disasters management: A two decade review. Technol Forecast Soc Change. 2013; 80(9): 1834-1853. DOI: 10.1016/j.techfore.2012.12.008.

Frankfort-Nachmias C, Nachmias D: Research Methods in the Social Sciences. 7th ed. New York, NY: Worth Publishers, 2008.

Gelenbe E, Timotheou S: Random neural networks with synchronized interactions. Neural Comput. 2008; 20(9): 2308-2324. DOI: 10.1162/neco.2008.04-07-509.

Mistele P: Faktoren des verlässlichen Handelns (1. Aufl.). DUV deutscher Universitäts-Verlag. 2007. Available at

Cheng MY, Chiu KC, Hsieh YM, et al.: BIM integrated smart monitoring technique for building fire prevention and disaster relief. Autom Const. 2017; 84: 14-30. DOI: 10.1016/j.autcon.2017.08.027.

Davis FD: A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results [doctoral dissertation]. Massachusetts Institute of Technology, 1985.

Venkatesh V, Morris MG, Davis FD: User acceptance of information technology: Toward a unified view. MIS Q. 2003; 27(3): 425. DOI: 10.2307/30036540.

Legris P, Ingham J, Collerette P: Why do people use information technology? A critical review of the technology acceptance model. Inform Manag. 2003; 40(3): 191-204. DOI: 10.1016/S0378-7206(01)00143-4.

Dusse F, Júnior PS, Alves AT, et al.: Information visualization for emergency management: A systematic mapping study. Expert Syst Appl. 2016; 45: 424-437. DOI: 10.1016/j.eswa.2015.10.007.

Lee WB, Wang Y, Wang WM, et al.: An unstructured information management system (UIMS) for emergency management. Expert Syst Appl. 2012; 39(17): 12743-12758. DOI: 10.1016/j.eswa.2012.02.037.

Shen M, Carswell M, Santhanam R, et al.: Emergency management information systems: Could decision makers be supported in choosing display formats? Decis Support Syst. 2012; 52(2): 318-330. DOI: 10.1016/j.dss.2011.08.008.

Alavi M, Leidner D: Review: Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Q. 2001; 1: 107. DOI: 10.2307/3250961.

Borrmann A, König M, Koch C (eds.): Building Information Modeling: Technology Foundations and Industry Practice. Berlin: Springer, 2018. DOI: 10.1007/978-3-319-92862-3.

Burdea GC, Coiffet P: Virtual Reality Technology, 2nd ed. Hoboken, NJ: Wiley, 2003. Available at

Cambridge Dictionary: Algorithm. Available at Accessed August 9, 2021.

Cios KJ, Pedrycz W, Swiniarski RW, et al.: Data Mining: A Knowledge Discovery Approach. Berlin: Springer, 2007. DOI: 10.1007/978-0-387-36795-8.

Joshi AV: Machine learning and artificial intelligence. 2020. 53. Kliemann L, Sanders P (eds.): Lecture Notes in Computer Science: Vol. 9220. Algorithm Engineering: Selected Results and Surveys. Berlin: Springer, 2016. DOI: 10.1007/978-3-319-49487-6.

Mukhopadhyay D, Sinha S: Introduction. In Mukhopadhyay D (ed.): Web Searching and Mining. Singapore: Springer, 2019: 1-27. DOI: 10.1007/978-981-13-3053-7_1.

Queensland Government: Information technology (IT) risk management. 2020. Available at

Shanmuganathan S: Artificial neural network modelling: An introduction. In Shanmuganathan S, Samarasinghe S (eds.): Artificial Neural Network Modelling. Berlin: Springer, 2016: 1-14. DOI: 10.1007/978-3-319-28495-8_1.

Timmerer C, Gelissen J, Waltl M, et al.: Interfacing with virtual worlds. 2009.

van der Aalst W: Process Mining: Discovery, Conformance and Enhancement of Business Processes. Berlin: Springer, 2011. DOI: 10.1007/978-3-642-19345-3.

Visual Paradigm. Available at Accessed August 9, 2021.

Liao Z, Wang B, Xia X, et al.: Environmental emergency decision support system based on Artificial Neural Network. Safety Sci. 2012; 50(1): 150-163.



How to Cite

Kern, PhD, MBA, E.-M., T. Schuhmann, MSc, and J. C. Müller, PhD. “Information and Communication Technology in Emergency Organizations: Applications, Opportunities, and Challenges”. Journal of Emergency Management, vol. 20, no. 5, Sept. 2022, pp. 461-79, doi:10.5055/jem.0660.