The proper understanding and managing of project risks and uncertainties is crucial to any organization. It is of paramount importance at all phases of project development and execution to avoid poor project results from meager economics, overspending, reputation and environmental damage, and even loss of life. The Handbook of Research on Leveraging Risk and Uncertainties for Effective Project Management is a comprehensive reference source for emerging perspectives of managing risks associated with the execution and development of projects. Highlighting innovative coverage written by top industry specialists, such as complexity theory, psychological bias and risk management fallacies, probabilistic risk analysis, and various aspects of project decision making, this book is ideally designed for project and risk managers, project engineers, cost estimators, schedulers, safety and environmental protection specialists, corporate planners, financial and insurance specialists, corporate decision makers, as well as academics and lecturers working in the area of project management and students pursing PMP, PMI-RMP, ISO 31000, etc. certification. Topics Covered: Deterministic (Scoring) Risk Methodology Implications of Complexity Theory to Project Management Integration of Project Risk Management with Enterprise Risk Management, Estimating, Scheduling, Project Controls, Engineering, Operations, Strategic Bidding, Business Development, Etc. Probabilistic (Monte Carlo) Cost and Schedule Risk Analysis Project Estimating, Scheduling, and Contingency's Development Project Scoping Based on Deterministic and Probabilistic Risk Methods Psychological Aspects of Risk Management and Project Decision Making Risk-Based and Economic-Based Selection of Project Alternatives Risk-Centric Project Performance Management

Neuroeconomics has emerged as a field of study with the goal of understanding the human decision-making process and the mental consideration of multiple outcomes based on a selected action. In particular, neuroeconomics emphasizes how economic conditions can impact and influence the decision-making process and alternately, how human actions have the power to impact economic conditions. Neuroeconomics and the Decision-Making Process presents the latest research on the relationship between neuroscience, economics, and human decision-making, including theoretical foundations, real-world applications, and models for implementation. Taking a cross-disciplinary approach to neuroeconomic theory and study, this publication is an essential reference source for economists, psychologists, business professionals, and graduate-level students across disciplines.

This Handbook brings together experts in the field of leadership to provide insights into methods for leadership research. It serves to motivate them to use new research methods to further our knowledge of the leadership field. Illustrating novel approaches to research with sample questions and applications to the field of leadership, this comprehensive and accessible Handbook covers key methodologies in leadership research today, as well as introducing methods that will be invaluable in the future. With chapters written by established leadership scholars, the Handbook of Methods in Leadership Research is arranged to cover three core areas of research: measurement and design, quantitative analytic approaches, and qualitative analytic approaches. The book provides an accessible overview and starting point to discover new methods. All chapters are well researched and provide references for those who want to delve deeper into the topics covered. The volume ends with a summary of tips for each method presented. This book will be an indispensable resource for leadership students, scholars, and practitioners alike, to inspire their future research but also to support their understanding of the quality of research carried out by others. Contributors: C.-H. Chang, S.H. Chong, A.R. Cook, A.J. Dixon, E. Djurdjevic, R.J. Foti, V. Gochmann, J. Gooty, R.J. Hall, R. Ilies, R.E. Johnson, M. Jokisaari, R.B. Kline, M. Lewis, W.-D. Li, R.G. Lord, M.E. McCusker, B. Meyer, P. Neves, S. Ohly, M. Pina e Cunha, A. Rego, E.F. Rietzschel, D. Rus, J. Schilling, B. Schyns, W.K. Smith, S. Trichas, W. Wang, J.M. Webb, B. Wisse, F.J. Yammarino

Globalization, sustainable development, and technological applications all affect the current state of the business sector in Asia. This complex industry plays a vital part in the overall economic, social, and political aspects of this region, as well as on a larger international scale. Managerial Strategies and Solutions for Business Success in Asia is an authoritative reference source for the latest collection of research perspectives on the development and optimization of various business sectors across the Asian region and examines their role in the globalized economy. Highlighting pertinent topics across an interdisciplinary scale, such as e-commerce, small and medium enterprises, and tourism management, this book is ideally designed for academics, professionals, graduate students, policy makers, and practitioners interested in emerging business and management practices in Asia.

This graduate-level textbook covers modelling, programming and analysis of stochastic computer simulation experiments, including the mathematical and statistical foundations of simulation and why it works. The book is rigorous and complete, but concise and accessible, providing all necessary background material. Object-oriented programming of simulations is illustrated in Python, while the majority of the book is programming language independent. In addition to covering the foundations of simulation and simulation programming for applications, the text prepares readers to use simulation in their research. A solutions manual for end-of-chapter exercises is available for instructors.

This book addresses new concepts, methods, algorithms, modeling, and applications of green supply chain, inventory control problems, assignment problems, transportation problem, linear problems and new information related to optimization for the topic from the theoretical and applied viewpoints of neutrosophic sets and logic. The book is an innovatory of new tools and procedures, such as: Neutrosophic Statistical Tests and Dependent State Samplings, Neutrosophic Probabilistic Expert Systems, Neutrosophic HyperSoft Set, Quadripartitioned Neutrosophic Cross-Entropy, Octagonal and Spherical and Cubic Neutrosophic Numbers used in machine learning. It highlights the process of neutrosofication {which means to split the universe into three parts, two opposite ones (Truth and Falsehood), and an Indeterminate or neutral one (I) in between them}. It explains Three-Ways Decision, how the universe set is split into three different distinct areas, in regard to the decision process, representing: Acceptance, Noncommitment, and Rejection, respectively. The Three-Way Decision is used in the Neutrosophic Linguistic Rough Set, which has never been done before.

What causes one system to break down and another to rebound? Are we merely subject to the whim of forces beyond our control? Or, in the face of constant disruption, can we build better shock absorbers--for ourselves, our communities, our economies, and for the planet as a whole?
Reporting firsthand from the coral reefs of Palau to the back streets of Palestine, Andrew Zolli and Ann Marie Healy relate breakthrough scientific discoveries, pioneering social and ecological innovations, and important new approaches to constructing a more resilient world. Zolli and Healy show how this new concept of resilience is a powerful lens through which we can assess major issues afresh: from business planning to social develop-ment, from urban planning to national energy security--circumstances that affect us all.
Provocative, optimistic, and eye-opening, Resilience sheds light on why some systems, people, and communities fall apart in the face of disruption and, ultimately, how they can learn to bounce back.