In business, mistakes and errors will inevitably occur. As such, organizations must be constantly alert and ready to meet challenges head-on. Risk and Contingency Management: Breakthroughs in Research and Practice is a comprehensive reference source for the latest scholarly material on trends and techniques for the prediction and evaluation of financial risks and how to diminish their effect. Highlighting a range of pertinent topics such as project management, risk auditing and reporting, and resource management, this multi-volume book is ideally designed for researchers, academics, professionals, managers, students, and practitioners interested in risk and contingency management.

"This book explores the latest empirical research and best real-world practices for preventing, weathering, and recovering from disasters such as earthquakes or tsunamis to nuclear disasters and cyber terrorism"--Provided by publisher.

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.

In order to keep up with the constant changes in technology, business have adopted supply chain management to improve competitive strategies on a strategic and operational level. Supply Chain Management: Concepts, Methodologies, Tools, and Applications is a reference collection which highlights the major concepts and issues in the application and advancement of supply chain management. Including research from leading scholars, this resource will be useful for academics, students, and practitioners interested in the continuous study of supply chain management and its influences.

Across a variety of disciplines, data and statistics form the backbone of knowledge. To ensure the reliability and validity of data, appropriate measures must be taken in conducting studies and reporting findings. Research Methods: Concepts, Methodologies, Tools, and Applications compiles chapters on key considerations in the management, development, and distribution of data. With its focus on both fundamental concepts and advanced topics, this multi-volume reference work will be a valuable addition to researchers, scholars, and students of science, mathematics, and engineering.

DEEP LEARNING APPROACHES TO CLOUD SECURITY Covering one of the most important subjects to our society today, cloud security, this editorial team delves into solutions taken from evolving deep learning approaches, solutions allowing computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept defined through its relation to simpler concepts. Deep learning is the fastest growing field in computer science. Deep learning algorithms and techniques are found to be useful in different areas like automatic machine translation, automatic handwriting generation, visual recognition, fraud detection, and detecting developmental delay in children. However, applying deep learning techniques or algorithms successfully in these areas needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization. This book provides state of the art approaches of deep learning in these areas, including areas of detection and prediction, as well as future framework development, building service systems and analytical aspects. In all these topics, deep learning approaches, such as artificial neural networks, fuzzy logic, genetic algorithms, and hybrid mechanisms are used. This book is intended for dealing with modeling and performance prediction of the efficient cloud security systems, thereby bringing a newer dimension to this rapidly evolving field. This groundbreaking new volume presents these topics and trends of deep learning, bridging the research gap, and presenting solutions to the challenges facing the engineer or scientist every day in this area. Whether for the veteran engineer or the student, this is a must-have for any library. Deep Learning Approaches to Cloud Security: Is the first volume of its kind to go in-depth on the newest trends and innovations in cloud security through the use of deep learning approaches Covers these important new innovations, such as AI, data mining, and other evolving computing technologies in relation to cloud security Is a useful reference for the veteran computer scientist or engineer working in this area or an engineer new to the area, or a student in this area Discusses not just the practical applications of these technologies, but also the broader concepts and theory behind how these deep learning tools are vital not just to cloud security, but society as a whole Audience: Computer scientists, scientists and engineers working with information technology, design, network security, and manufacturing, researchers in computers, electronics, and electrical and network security, integrated domain, and data analytics, and students in these areas

Risks can be identified, evaluated, and mitigated, but the underlying uncertainty remains elusive. Risk is present across all industries and sectors. As a result, organizations and governments worldwide are currently experiencing higher levels of risk and have had to make risky decisions during times of crisis and instability, including the COVID-19 pandemic, economic and climate perils, and global tensions surrounding terrorism. It is essential that new studies are undertaken to understand strategies taken during these times to better equip business leaders to navigate risk management in the future. Global Risk and Contingency Management Research in Times of Crisis examines the impact of crises including the COVID-19 pandemic, which has tested organizational risk and contingency management plans. It provides significant insights that should benefit business leaders on risk and contingency management in times of crisis. It emphasizes strategies that leaders can undertake to identify potential future risks and examines decisions made in past crises that can act as examples of what to do and what not to do during future crisis events. Covering topics such as auditing theories, risk assessment, and educational inequality, this premier reference source is a crucial resource for business leaders, executives, managers, decision makers, policymakers, students, government officials, entrepreneurs, librarians, researchers, and academicians.

The objective of the multi-volume book Developments in Managing and Exploiting Risk is to offer a balanced view to enable the reader to better appreciate risk as a counterpart to reward, and to understand how to holistically manage both elements of this duality. Crises can challenge any organization, and with a seemingly endless stream of disruptive and even catastrophic events taking place, there is an increasing emphasis on preparing for the worst. However, being focused on the negative aspects of risk, without giving consideration to the positive attributes, may be shortsighted. Playing it safe may not always be the best policy, because great benefits may be missed. Analyzing risk is difficult, in part because it often entails events that have never occurred. Organizations, being mindful of undesirable potential events, are often keenly averse to risk to the detriment of capitalizing on its potential opportunities. Risk is usually perceived as a negative or downside but a commensurate weight should also be given to the potential rewards or upside, when evaluating new ventures. Even so, too much of a good thing may create unintended consequences of positive risk, which is also an undesirable situation. Developments in Managing and Exploiting Risk provides a professional and scholarly venue in the critical field of risk in business with particular emphasis on decision-making using a comprehensive and inclusive approach.