The Economics of Globally Shared and Public Goods responds to an urgent need to consolidate and refine the economic theories and explanations pertinent to globally shared resources. Making a clear distinction between theories and empirical models, it elucidates the problem of global public goods while incorporating insights from behavioral economics. Its comprehensive and technical review of existing theoretical models and their empirical results illuminate those models in practical applications. Relevant for economists and others working on challenges of globally shared goods such as climate change and global catastrophes, The Economics of Globally Shared and Public Goods provides a path toward greater co-operation and shared successes.

How to Manage is the definitive how-to of management. Based on years of management practice in some of the world's leading organisations, it cuts through the theory to show you how to develop the skills, behaviours, political abilities and emotions to thrive as a manager.

This book is your essential guide to the theory and practice of leadership. Whatever your level in an organisation, this is your practical handbook for getting to the top and staying there. Learn how to: Get promoted, and survive promotion Influence and persuade someone, particularly when they're not your direct report Handle a crisis and survive adversity Step up and know when to step back in moments of risk, opportunity and uncertainty

When it comes to optimization techniques, in some cases, the available information from real models may not be enough to construct either a probability distribution or a membership function for problem solving. In such cases, there are various theories that can be used to quantify the uncertain aspects. Optimization Techniques for Problem Solving in Uncertainty is a scholarly reference resource that looks at uncertain aspects involved in different disciplines and applications. Featuring coverage on a wide range of topics including uncertain preference, fuzzy multilevel programming, and metaheuristic applications, this book is geared towards engineers, managers, researchers, and post-graduate students seeking emerging research in the field of optimization.

In recent years, most applications deal with constraint decision-making systems as problems are based on imprecise information and parameters. It is difficult to understand the nature of data based on applications and it requires a specific model for understanding the nature of the system. Further research on constraint decision-making systems in engineering is required. Constraint Decision-Making Systems in Engineering derives and explores several types of constraint decisions in engineering and focuses on new and innovative conclusions based on problems, robust and efficient systems, and linear and non-linear applications. Covering topics such as fault detection, data mining techniques, and knowledge-based management, this premier reference source is an essential resource for engineers, managers, computer scientists, students and educators of higher education, librarians, researchers, and academicians.

Different organizational instruments have been developed and adapted with proven reliability and validity to measure organizational attitudes, beliefs, and behaviors. These new data collection instruments can be used in organizational management and leadership, including human research development. This technology will enhance data collection, reliability, and accurately assess management and leadership for improved organizational outcomes. Now that this new style of data collection and measurement has entered the workplace, it is essential to understand both the benefits and challenges of these newly developed instruments as well as looking at how they are used, where they are implemented, and how the technology itself functions. Advancements in Organizational Data Collection and Measurements: Strategies for Addressing Attitudes, Beliefs, and Behaviors includes a collection of 15 newly developed organizational instruments with proven reliability and validity meant to measure organizational attitudes, beliefs, and behaviors. Additionally, chapters will address methodological issues related to scale development and use as well as specific technologies used, such as the use of machine learning in future performance assessment. This book is ideal for faculty, consultants, and managers, along with practitioners, stakeholders, researchers, academicians, and students interested in advancing the theoretical understanding and the practical application of using newly developed instruments for addressing organizational attitudes, beliefs, and behaviors.