Nitesh Bharosa, Bart Van Zanten, Jaco Appelman, & Arre Zuurmond. (2009). Identifying and confirming information and system quality requirements for multi-agency disaster management. In S. J. J. Landgren (Ed.), ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives. Gothenburg: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper investigates the relevance and assurance of information and system quality as requirements for information systems success during disaster management. Despite the many examples of poor information quality and poor system quality, research on the relevance and assurance of these requirements is sparse. In order to design successful information systems for disaster management, a context related understanding of the organizational and technical measures for achieving these requirements is necessary. Accordingly, the goal of this paper is to identify and confirm information and system quality requirements for the design of information systems for disaster management. The results of our interviews with information architects indicate that while information quality requirements are considered to be very relevant, these are hard to measure and assure, and that currently much effort is being put into improving system quality requirements such as interoperability and ease of use.
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Nitesh Bharosa, Marijn Janssen, Raghav H. Rao, & JinKyu Lee. (2008). Adaptive information orchestration: Architectural principles improving information quality. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 556–565). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Effective responsiveness to disasters requires the management of information in a network of autonomous response agencies. Yet, the information quality is often insufficient. Information is scattered throughout the network and needs to be collected from heterogeneous information sources. As such, adaptive information orchestration is the key to effective response. The aim of this paper is to develop a prescriptive, conceptual architecture guided by architectural principles for orchestration aimed at improving information quality. Information orchestration refers to an information architecture in which multiple orchestrators match information supply according to the information demand in order to assure a high information quality for relief workers. A primarily element is that information needs to be 'enriched' before it is provided to relief workers and necessary resources (human, information and technology) should be available to accomplish this. This should ensure that the right information will be delivered to the right persons at the right moment. Future research is aimed at detailing the concept of information orchestration.
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David Wodak, & Kenny Meesters. (2021). How To Improve HO/TO's: An Exploratory Study on The Alignment Between Information, Technology And Crisis teams. In Anouck Adrot, Rob Grace, Kathleen Moore, & Christopher W. Zobel (Eds.), ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management (pp. 459–470). Blacksburg, VA (USA): Virginia Tech.
Abstract: In the last decade, the number of crises has increased, and have become more complex. Crisis response does not only focus on rescue operations, or separate stages but rather it is an integrated and continuous process. During this continuous process, several handovers take place. A handover is an important, critical but challenging moment during a crisis, due to the organizational factors that influence the handover and the technology used to transfer information. Since these are crucial elements of a Crisis handover, it would indicate that the alignment between these factors could lead to the improvement of Crisis handovers. However, certain barriers resulted in a lack of alignment. An important barrier originates from the organizational processes. These have a lack of focus on which crisis managers are involved in the handover and thus create a lack of alignment between the systems and information used by various crisis teams.
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Therese Friberg, Stephan Prödel, & Rainer Koch. (2011). Information quality criteria and their importance for experts in crisis situations. 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: In the past a lot of researchers have defined criteria to determine information quality. Various criteria and dimensions have been identified and examined in different contexts. But very few of them focused on information quality in the context of complex situations, especially in the domain of crisis management. These complex situations demand for an extensive level of information as a basis to the difficult decisions an officer-in-charge has to make. Therefore, if we want to support the decision-making of the leading officers through an at least semi-automated process, we need first of all to find a set of criteria to assess the information quality considering the special requirements of such complex situations. In this paper we describe our approach of defining a criteria set by identifying the characteristics of complex situations, then we analyze existing models of information quality and map their aggregated criteria to the identified characteristics and finally first results of interviews to evaluate the set through the involvement of domain experts are presented.
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Yiwei Li, Yu Guo, & Naoya Ito. (2015). The Role of Information Quality and Efficacy Beliefs in Predicting Chinese People?s Information Seeking about Air Pollution Risk. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: Information seeking is suggested as an important precursor of self-protective behavior. Therefore, ways of enhancing information seeking are expected to help individuals? precautionary action under conditions of risk. Builds upon previous efforts, a social-cognitive model of risk information seeking is constructed, presenting a new approach to meet the aforementioned expectation. Data were collected from a sample of Mainland Chinese people (N=1032). Results of path analysis demonstrated satisfactory model fit. Explanations on how the cognitive process resulted in information seeking may create a better understanding of individual behavior. Findings provide practical implications for communicating risks and for helping the public to make better decisions.
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