Risk management is a vital concern in any organization. In order to succeed in the competitive modern business environment, the decision-making process must be effectively governed and managed. Research, Practices, and Innovations in Global Risk and Contingency Management is a critical scholarly resource that provides an all-encompassing holistic discussion of risk management and perception, while giving readers innovations on empirical risk-contingency management research and case studies. Featuring coverage on a broad range of topics, such as contingency planning, project management, and risk mitigation, this book is geared towards academicians, practitioners, and researchers seeking current research on risk and contingency management issues.

This book demonstrates an original concept for implementing the rough set theory in the construction of decision-making systems. It addresses three types of decisions, including those in which the information or input data is insufficient. Though decision-making and classification in cases with missing or inaccurate data is a common task, classical decision-making systems are not naturally adapted to it. One solution is to apply the rough set theory proposed by Prof. Pawlak. The proposed classifiers are applied and tested in two configurations: The first is an iterative mode in which a single classification system requests completion of the input data until an unequivocal decision (classification) is obtained. It allows us to start classification processes using very limited input data and supplementing it only as needed, which limits the cost of obtaining data. The second configuration is an ensemble mode in which several rough set-based classification systems achieve the unequivocal decision collectively, even though the systems cannot separately deliver such results.

This book tells the story of radical transparency in a datafied world. It is a story that not only includes the beginnings of WikiLeaks and its endings as a weapon of the GRU, but also exposes numerous other decentralised disclosure networks designed to crack open democracy - for good or ill - that followed in its wake. This is a story that can only be understood through rethinking how technologies of government, practices of media, and assumptions of democracy interact. By combining literatures of governmentality, media studies, and democracy, this illuminating account offers novel insights and critiques of the transparency ideal through its material-political practice. Case studies uncover evolving media practices that, regardless of being scraped from public records or leaked from internal sources, still divulge secrets. The narrative also traces new corporate players such as Clearview AI, the civic-minded ICIJ, and state-based public health disclosures in times of pandemic to reveal how they all form unique proto-institutional instances of disclosure as a technology of government. The analysis of novel forms of digital radical transparency - from a trickle of paper-based leaks to the modern digital .torrent - is grounded in analogues from the analogue past, which combine to tell the whole story of how transparency functions in and helps form democracy.

This book includes a collection of articles that present recent developments in the fields of optimization and dynamic game theory, economic dynamics, dynamic theory of the firm, and population dynamics and non standard applications of optimal control theory. The authors of the articles are well respected authorities in their fields and are known for their high quality research in the fields of optimization and economic dynamics.

The aim of this work is to reduce the risks of medical treatment and e nhance the safety of patients in all areas of healthcare. The first se ction discusses human error, the incidence of harm to patients, and th e development of risk management. Chapters in the second section discu ss the reduction of risk in clinical practice in key medical specialti es. The third section discusses features of the healthcare systems tha t are essential to safe practice, such as communication of risk to pat ients, the design of equipment, supervision and training, and effectiv e teamwork. The fourth section describes how to put risk management in to practice, including the effective and sensitive handling of complai nts and claims, the care of injured patients and the staff involved, a nd the reporting, investigation and analysis of serious incidents.