Managing risks is of paramount importance for enabling a widespread adoption of cloud computing. Users need to understand the risks associated with the process of migrating applications and data, so that appropriate mechanisms can be taken into consideration. However, risk management in cloud...

It is well known that risk factors influence how investment portfolios perform from a lender's perspective; therefore, a thorough risk assessment of the housing market is vital. The aim of this paper was to analyze the risks from housing apartments in different housing market segments by using...

Methodological approaches to investing in companies and reducing the negative impact of risks that are formed at the macro and micro levels are considered in the article. The algorithm for expressing investment risks through related risks and conducting an investment risk assessment as a group...

Saudi Arabia has proposed a new project, NEOM city, planned on the coast of the Red Sea with various unique and challenging features as a part of its vision 2030 to transform itself from an oil-dependent economy to knowledge-based economy. However, there are various risks and challenges...

We report on the results obtained from ten annual surveys of global business executives on their perceptions of the most significant risks facing their organizations in the ensuing calendar year. These surveys of C-suite executives, directors and other risk professionals elicit their concerns...

This study aimed to identify financial and cash flow risks associated with SMEs and investigated how managers perceived these risks using the analytical hierarchical process (AHP). Accordingly, a three-level decision model was structured using two criteria, probability and consequences, and a...

As historical data are typically unavailable for a start-up, risk assessment is always complex and challenging. Traditional methods are incapable of capturing all facets of this complexity; therefore, more sophisticated tools are necessary. Using an expert-elicited Bayesian networks (BNs)...