This research addresses the challenges of multi-attribute group decision-making in a hesitant fuzzy environment, where … matrices for each decision expert. The maximum deviation and entropy methods determine objective weights for decision experts … and attribute indicators. Combining an improved scoring function and deviation function generates a comprehensive decision …

This study examines how airlines in the United States report risk at a difficult and uncertain time as a result of the … used to locate the key ideas and themes addressed in the risk reporting sections. Following the pandemic, the themes that … study adds to the body of knowledge on risk profiling, particularly as it relates to the airline business, and it offers …

angles. Although the systematic risk of the airline industry has been examined before, idiosyncratic risk has largely been …

Organization (WHO). This study was originally conducted in January 2020 to estimate the potential risk and geographic range of … COVID-19 spread at the early stage of the transmission. A series of connectivity and risk analyses based on domestic and … assessing travel patterns and risk of transmission can help guide public health preparedness and intervention design for new …

Expected utility theory (EUT) is currently the standard framework which formally defines rational decision-making under …

manner across the main strategic decision-making contexts that entrepreneurs and organizations face. Differentiating from … experimental approach, doing so by considering variants of a robust, yet simple, decision problem. Significantly, the analysis …

Argentine context. Mainly, this study analysed the financial decision-making process in students of the economic …