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Erion Elmasllari. (2018). Why IT systems for emergency response get rejected: examining responders' attitude to IT. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 994–1002). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: Emergency responders' attitude to IT is marked by resistance, aversity, and rejection. This does not extend to technology in general and is specific to IT alone. Current research on the topic only presents partial, scattered, and unconnected accounts that do not provide a starting point on how to tackle this attitude. The available models for technology acceptance are also generic and do not take into account the specifics of the emergency response domain. Through extensive user research combined with a grounded theory approach, this paper identifies twelve problem areas from which responders' negative attitude towards IT arises. By extending the technology acceptance models with this new knowledge, we provide system designers with an understanding of what to tackle and tune in their IT system designs so that a positive attitude among emergency responders can be achieved.
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Steven C. Way. (2011). Information requirements for context-aware multi-agency real-time coordination during crisis response. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Most information systems (IS) research into emergency management (EM) consists of case studies of prior disasters, social behavior research, and planning or preparedness research. This study fills a gap in EM and IS research as it aims to better understand the nature of coordination during crisis response; investigate the functions and capabilities of existing coordination systems; and identify the desired functions to manage multi-agency coordination response. Grounded theory is the methodology adopted for this study. Firsthand interview and observational data will be collected from agency command centers, ride-outs with police, fire, and emergency medical services (EMS) agencies, and from multi-agency training exercises. This study is expected to make a theoretical contribution to crisis response system design as it will develop a theory to better understand the information requirements for context-aware multi-agency real-time coordination responses to crises.
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