Peter Otto, & Salvatore Belardo. (2006). A theoretical evaluation of information processing resources during organizational crisis. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 262–271). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: The purpose of this paper is to present a model for testing different organizational learning characteristics and their effects on performance rate in times of an unexpected temporary increase in workload. Drawing on the theoretical frameworks of Yerkes-Dodson law, the stress-buffering effect of coping resources, and established crisis management models, the authors examine the hypotheses of curvilinear and interactional influence of single and double-loop learning on stress levels during crises. Using a simulation model, we identify thresholds in single and double-loop learning environments, where increases in workload lead to dysfunctional effects of stress. The findings indicate support for the hypothesis that an organization that employs double-loop learning is less susceptible to negative stress in times of a crisis. Overall, the study highlights the characteristics of different learning types and its effects on stress. It is suggested that experiments with a simulation model lead to a better understanding of how information processing resources that people have access to in stress events, buffers or protects them from negative effects.
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Elio Rich. (2006). Modeling risk dynamics in e-operations transitions. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 239–250). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: Migrations to new modes of operation are perilous times for most organizations. For firms that routinely work in high-threat, high-reward situations, the risks of innovation are particularly challenging. This paper presents a systems-based approach to understanding these risks, drawing examples from one firm migrating to e-Operations for offshore oil platforms to increase profitability. The firm recently participated in two facilitated group model building exercises to examine the effects of the migration on the organization and resources needed to safely implement multiple changes over time. Based on these exercises, a simulation model of the timing and relative levels of risk, was developed. The results of the workshop and simulation demonstrate the effect of a combined qualitative and quantitative modeling approach to understanding complex problems.
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Gerd Van Den Eede, Willem J. Muhren, Raphaël Smals, & Bartel A. Van De Walle. (2006). IS capability for incident management and the DERMIS design premises. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 251–261). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: In this paper we present a dynamic model of the performance of an organization's Incident Management process as determined by the capability of its supporting emergency response information system. Our work is based on the Capability Trap model by Repenning & Sterman (2001) and draws from the many insights on emergency response information systems design as described in the DERMIS (Dynamic Emergency Response Management Information System) framework established by Turoff et al. 2004. Whereas the latter describes the premises that underlie an Information System (IS) that is capable of ensuring a reliable and flexible emergency response, the present paper contributes to the research field by looking at the interrelations of the aforementioned premises. We take a System Dynamics approach and gain insights in the key determinants of IS Capability by highlighting the mutual interdependences grouped around the concepts of adaptability, control, implicit knowledge and explicit knowledge.
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