Adaptive workflow simulation of emergency response

Bruinsma, Gerben

doi:10.3990/1.9789036529990

Cited by 4 publications

(5 citation statements)

References 34 publications

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“…To better understand this argument, it is crucial to point out that protocols are at the very heart of complex organizations, especially organizations providing specific services such as emergency or disaster services (Bruinsma & De Hoog 2006). Protocols reflect the power and administrative structure of the formal organizational hierarchy, thereby determining the flow of communications and operational procedures.…”

Section: Organizational Protocolsmentioning

confidence: 99%

The Missing Piece to the Crisis Management Puzzle: Making the Best Decision

Kirschenbaum,

Rapaport,

Sagi

et al. 2023

IDRiM Journal

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The field of emergency preparedness and response has been driven recently by training efforts utilizing software based technology to mitigate and respond to potential and/or actual crisis situations. Yet, despite this effort, numerous research findings highlight the failures of both disaster and emergency agencies as well as private sector organizations in dealing with both major disruptions as well as local emergencies. We argue that a critical missing piece to rectify such failures, particularly in the training process, can be attained by refocusing on organizational processes toward preparedness/response with greater attention being paid to the context of how decisions are actually made and who makes them. This critical missing element in preparation/response will be addressed here by laying out how data analytics associated with real-time behavioral decisions during an earthquake simulation can be utilized in optimizing the decision making process. This will provide a window into why protocols are not adhered to or how informal social networks within organizations are critical elements affecting decisions. To delve into this organizational reality, an emphasis will be put on not only the human factor in decision making but the organizational context within which interaction among and between employees takes place that affect how and what decisions are made.

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Section: Organizational Protocolsmentioning

confidence: 99%

The Missing Piece to the Crisis Management Puzzle: Making the Best Decision

Kirschenbaum,

Rapaport,

Sagi

et al. 2023

IDRiM Journal

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“…However, workflow-based process specifications suffer from a lack of flexibility that crisis situations require. Some researchers advocate adaptability to unexpected situations by using flexible workflow languages (Bruinsma, 2010;Canós et al, 2014;Llavador et al, 2006). The cohesion provided by the coordination mechanisms comes from the fact that a response is viewed as the execution of a process, with all the participants represented as entities in the process model.…”

Section: Coordinationmentioning

confidence: 99%

From planning to resilience: The role (and value) of the emergency plan

Penadés

Núñez

Canós

2017

Technological Forecasting and Social Change

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The study of resilience in the emergency management field is nowadays in effervescence. Traditionally, the robustness of organizations against disasters is based on several pillars: equipment, staff training, organization and, especially, planning. All of these dimensions are aimed at increasing the preparedness and recovery of organizations against disasters. While the approaches to resilience in emergency management focus on the processes that implement these dimensions, we approach resilience-building processes from a different perspective: instead of focusing on planning-related activities, we pay attention to the principal outcome of such activities, namely emergency plan. We show how the management of the emergency plan can contribute to reinforcing an organization's resilience. First, we identify the major resilience-related emergency plan components and suggest improved emergency plans that consider the characteristics that contribute to resilience. Secondly, we show how to reinforce the resilience of the organizations that have emergency plans. Our study is based on QuEP, a quality-based framework for the assessment and improvement of emergency plan management within organizations. We have extended and integrated the resilience characteristics as practices of the QuEP's maturity level hierarchy to make up QuEP+R. We describe its resilience model and give details of a supporting tool, currently under development.

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“…Too many of these messages leads to information overload (see e.g. [9] for an overview, and [8], chapters 6 and 7 for a detailed analysis in the context of crisis response).…”

Section: Information Overloadmentioning

confidence: 99%

A Big Data Approach to Support Information Distribution in Crisis Response

Netten

Braak

Choenni

et al. 2016

Proceedings of the 9th International Conference on Theory and Practice of Electronic Governance

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Crisis response organizations operate in very dynamic environments, in which it is essential for responders to acquire all information critical to their task execution in time. In reality, the responders are often faced with information overload, incomplete information, or a combination of both. This hampers their decisionmaking process, workflow, situational awareness and, consequently, effective execution of collaborative crisis response. Therefore, getting the right information to the right person at the right time is of crucial importance.The task of processing all data during crisis response situations and determining for whom at a particular moment the information is relevant is not straightforward. When developing an information system to support this task, some important challenges have to be taken into account. These challenges relate to the structure and truthfulness of the used data, the assessment of information relevance, and the dissemination of relevant information in time. While methods and techniques from big data can be used to collect and integrate data, machine learning can be used to build a model for relevance assessments. An example implementation of such a framework of big data is the TAID software system that collects and integrates data communicated between first responders and may send information to crisis responders that were not addressed in the initial communication. As an example of the impact of TAID on crisis response, we show its effect in a simulated crisis response scenario.

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Adaptive workflow simulation of emergency response

Cited by 4 publications

References 34 publications

The Missing Piece to the Crisis Management Puzzle: Making the Best Decision

The Missing Piece to the Crisis Management Puzzle: Making the Best Decision

From planning to resilience: The role (and value) of the emergency plan

A Big Data Approach to Support Information Distribution in Crisis Response

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