By embracing advanced intelligence systems, governance frameworks and dynamic controls, organizations are redefining ...

With heightened regulatory scrutiny and increasing stakeholder expectations, organizations must shift toward comprehensive ...

Decision theory is a formal study of rational decision-making formed largely by ... including economics, risk analysis, business management, and theoretical behavioral ecology, it has more ...

Financial decision-making is undergoing a transformation, thanks to artificial intelligence (AI) and its rapid advancements in predictive modeling. Iswarya Konasani, an expert in AI-driven risk ...

This course is compulsory on the MSc in Management Science ... Based on sound theory underlying normative, descriptive and prescriptive decision-making research, the course emphasises the practical ...

Dr. Jeffrey Nickle, a cybersecurity researcher and U.S. Army combat-disabled veteran, has introduced TTAT+—Technology Threat Avoidance Theory Plus—as an evolved framework for assessing, modeling, and ...

utility theory foundations, risk preference, multiattribute utility; applications such as earthquake risk analysis, pumped storage sitting, setting pollution standards, and medical decision making.

Artificial intelligence (AI) technology has been praised by many for its ability to improve efficiency, but a lesser-discussed benefit is its potential to improve the dealmaking process. In the ...

Regulatory decisions require scientific evaluation of potential risks to human and environmental health and thoughtful risk management: Risk assessment is an iterative four-step process that provides ...

Strategic Decision Making for Management is a highly interactive and hands-on learning experiences that expertly integrates theory, concept and practice. You develop a deep understanding of the ...

Risk-based decision making is a growing trend and we have developed tools and novel methods for interactive visual risk-based decision making environments and risk-based resource allocation. Our ...

but also dynamically process this information to predict value and risk. The findings provide new insights into the neural basis of decision-making and could also be important for understanding mental ...