The Economic Development and Poverty Reduction Program (EDPRP) was developed with the active participation and support of society, executive authorities, nongovernment organizations, academia, businessmen, and donors. The study additionally provides coordinated mechanisms for bilateral and...

This paper examines the implementation of risk management within a supply chain. Using FMEA (Failure Mode and Effect Analysis) methodology as the risk management framework, this research investigates the overall supply chain network in the firm, identifies the inherent risks along its supply...

This paper shares experiences from action research carried out by the author in an SME business setting where collaboration is becoming a strategic necessity. Many industry participants are interested in entering a collaboration, but are concerned about issues of trust, particularly where a new...

Purpose – Many methodologies exist to assess the security risks associated with unauthorized leakage, modification and interruption of information used by organisations. This paper argues that these methodologies have a traditional orientation towards the identification and assessment of...

The framework takes into account non-quantifiable decision variables and dilemmas, and uncertainties related to input data. The RISKMAN model scheme consists of process description and a range of suggested evaluation criteria as well as guidelines on how is possible to perform the evaluation. In...

Recent developments in artificial intelligence (AI) may involve significant potential threats to personal data privacy, national security, and social and economic stability. AI-based solutions are often promoted as "intelligent" or "smart" because they are autonomous in optimizing various...

In the past decades, risk management in the financial community has been dominated by data-intensive statistical methods which rely on short historical time series to estimate future risk. Many observers consider this approach as a contributor to the current financial crisis, as a long period of...

Blood supply chain system involves blood collection, processing, inventory management, and distribution in the network. Blood has its unique characteristics that make its supply chain to be more complex and dynamic than the traditional one. Most research in the blood supply chain management...

We estimate a wildfire risk model with a new measure of wildfire output, intensity-weighted risk and use it in Monte Carlo simulations to estimate welfare changes from alternative prescribed burning policies. Using Volusia County, Florida as a case study, an annual prescribed burning rate of 13%...