Collaborative development of a small business emergency planning model

Small businesses, which are defined by the US Small Business Administration as entities with less than 500 employees, suffer interruptions from diverse risks such as financial events, legal situations, or severe storms exemplified by Hurricane Sandy. Proper preparations can help lessen the length of the interruption and put employees and owners back to work. Large corporations generally have large budgets available for planning, business continuity, and disaster recovery. Small businesses must decide which risks are the most important and how best to mitigate those risks using minimal resources. This research uses a series of surveys followed by mathematical modeling to help discover risk factors, mitigating actions, and the highest return scenarios as a basis for a low-cost business continuity/disaster recovery plan. The surveys use a Delphi study format in order to rank a base list of risks and mitigating actions and to supplement those lists with ones added by the participants. Survey results are analyzed and presented back to the group for a second round of ranking and supplementing the risk/action categories. After two rounds of surveys the data is presented to an expert panel to investigate how the risks interrelate. Quantifying the interrelationships is the basis for the Cross Impact Analysis model that is able to show the relative impact of one event upon another. Once the impacts are known, a series of high valued scenarios are developed using Interpretive Structural Modeling. These high valued scenarios can be used by the small businesses as a basis for a business continuity/disaster recovery plan

A Risk Scenario for Small Businesses in Hurricane Sandy Type Disasters

This research uses a series of surveys followed by mathematical modeling to help discover risk factors, mitigating actions, and the highest return scenarios as a basis for a low-cost business continuity/disaster recovery plan. The surveys use a Delphi study format in order to rank a base list of risks and mitigating actions and to supplement those lists with ones added by the participants. Survey results are analyzed and presented back to the group for a second round of ranking and supplementing the risk/action categories. This paper describes the top ten risks and high value scenario for small business interruptions as determined by a Delphi survey of small businesses affected by Hurricane Sandy. The highest ranked risk is loss of business reputation. The research then uses Cross Impact Analysis and Interpretive Structural Modeling to determine the risk interactions and the highest valued scenario for which to prepare

Unleash Physical Limitations: Virtual Emergency Preparedness Planning Simulation Training, Methodology and a Case Study

Simulation is perhaps the most widely used method for training emergency management workers. Despite its wide application, traditional simulation suffers from several constraints and limitations, which motivate us to pursue a different way – virtual simulation, as an alternative and supplement for the traditional training method. Utilization of groupware, network, and other information technologies makes virtual simulation more flexible and easier to prepare. Although virtual simulation can overcome some of the constraints related to physical simulation, so far there are little evidences that this new method can achieve similar or even better training effects compared with traditional simulation training method. To test the effects of this new training approach and the methodology to run it, several pilot trials have been conducted in the U.S. and Europe. This article is an exploratory study of a pilot emergency preparedness planning virtual simulation conducted in NJIT in late 2004. This study will help us understand the nature of virtual simulation, and help us improve the theories and designs of virtual simulation for emergency preparedness

Innovation in Demolition: A Case Study from the Cleanup of Ground Zero

The deconstruction of Ground Zero following the 2001 World Trade Center attack required massive mobilizations of equipment and personnel, all directed towards the speedy removal of 1.6 million tons of material from the site. Remarkably, this was accomplished ahead of schedule, below budget, and without any serious injury. The scale and tight time schedule of the operation made it unique among debris removal operations. Complicating matters was the need to invent new procedures and new management structures in order to meet the project's goals. This study uses data directly associated with these operations to develop a set of preliminary design requirements for information systems intended to support large-scale debris removal operations following disasters. The results of the analysis suggest that such systems should be extensible, so that they can be used within and among unpredictable organizational structures; flexible, so that they support real-time generation of new procedures; and integratable, so that they are capable of communicating with a variety of other systems