A dynamic risk management framework for software projects is presented. Currently available software risk management frameworks and risk assessment models are static in nature and lacks feedback capability. Such risk management frameworks are not capable of providing the risk assessment of futuristic changes in risk events. A dynamic risk management framework for software project is needed that...

abstract project management in construction industry, in many cases, is imperfect with respect to the integration of occupational health and safety (ohs) risks. this imperfection exhibits itself as complications affecting the riskiness of industrial procedures and is illustrated usually by poor awareness of ohs within project teams. difficulties on ohs regularly came about in the construction i...

background and objectives: surgical cancelation is a significant source of time and resource waste, patientsafety risk, and stress for patients and their families. in this study, a risk management-based approach is developed to prioritize factors contributing to surgical cancellation. methods: factors leading to surgical cancellation were comprehensively classified based on literature review.a...

evaluation and improvement of drug management process is essential for patient safety. the present study was performed whit the aim of assessing risk of drug management process in women surgery department of qeh using hfmea method in 2013. a mixed method was used to analys failure modes and their effects with hfmea. to classify failure modes; nursing errors in clinical management model, for cla...

The risk sphere in business is fast changing and expanding. Almost anything has become a risk factor that will have potent, direct, and far reaching impacts on business. This paper examines the intensity of enterprise risk management (ERM) practices among the Malaysian public listed companies. The paper espouses a ERM framework comprising fourteen important implementation elements and processes...

This research proposed analyzing projects from a risk uncertainty perspective by using EVM to predict the systemic (Epistemic Risk) and provisioning (Aleatory risk) uncertainties achieve project success. The results of study synthesized empirical findings with theories concepts. To bridge gap, this focuses on minimizing or alleviating epistemic aleatory uncertainties. method included qualitativ...

in the real world, risk and uncertainty are two natural properties in the implementation of mega projects. most projects fail to achieve the pre-determined objectives due to uncertainty. a linear integer programming optimization model was used in this work to solve a problem in order to choose the most appropriate risk responses for the project risks. a mathematical model, in which work structu...