Publication Findings
Using Monte Carlo simulation to refine emergency logistics response models: a case study.

The probability distribution for the Monte Carlo simulation was based on a triangular distribution. “Fuzzy” information had to be transformed into a triangular distribution. Conventional quantitative transformation techniques are not well suited for dealing with decision problems involving fuzziness

Using Real-Time Decision Tools to Improve Distributed Decision-Making Capabilities in High-Magnitude Crisis Situations.

(i) develop the initial design;(ii) develop the MLSVM algorithm,(iii) evaluate and refine the by comparing it with other solutions; (iv)

Using Twitter in crisis management for organizations bearing different country-of-origin perceptions.

The three-stage approach including pre- , crisis, and post-crisis is most commonly used to separate the events surrounding a (Coombs, 2007). The crisis phase includes the trigger event, during which organizations try to limit the damage.France. Each participant was then randomly directed to read one news release or one Twitter page regarding a Chinese or French company in a coffeemaker explosion crisis, a fictional case specifically designed for this study to avoid potential confounding effects of pre-existing knowledge of the organization

Validity evidence of non-technical skills assessment instruments in simulated anaesthesia crisis management.

The simulation laboratory was configured as an operating room with a full-body manikin patient simulator (SimMan 3G; Laerdal Medical, Stavanger, Norway).Participants were briefed about the and the equipment before thestart of the session. The participant was assigned the role of the anaesthetist in charge of a 45-year-old woman (American Society of Anesthesiologists physical status classification 1) undergoing laparoscopic myomectomy.

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