Handbook Of Research On Leveraging Risk And Uncertainties For Effective Project Management

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.

Economics is an integral aspect to every successful society, yet basic financial practices have gone unchanged for decades. Analyzing unconventional finance methods can provide new ways to ensure personal financial futures on an individual level, as well as boosting international economies. Alternative Decision-Making Models for Financial Portfolio Management: Emerging Research and Opportunities is an essential reference source that discusses methods and techniques that make financial administration more efficient for professionals in economic fields. Featuring relevant topics such as mean-variance portfolio theory, decision tree analysis, risk protection strategies, and asset-liability management, this publication is ideal for academicians, students, economists, and researchers that would like to stay current on new and innovative methods to transform the financial realm.

Ever-increasing attacks against individual and corporate finances over the past few decades prompt swift action from the realm of financial management. Advances in protection as well as techniques for controlling these disasters is instrumental for financial security and threat prevention. Six Sigma Improvements for Basel III and Solvency II in Financial Risk Management: Emerging Research and Opportunities explores the theoretical and practical aspects of Six Sigma DMAIC methods and tools to improve the financial risk management process and applications within finance, research and development, and software engineering. Featuring coverage on a broad range of topics such as controlling VAR, financial institution evaluations, and global limit systems, this book is ideally designed for financial managers, risk managers, researchers, and academics seeking current research on financial risk management to ensure that uncertainty does not affect, or at least has a minimal impact on, the achievement of goals within a financial institution.

Businesses utilize various managerial processes focused on reducing waste, errors, and variability in products to maintain and improve business quality. By keeping a clean workspace and organized workforce, business processes aim for an efficient, continuous flow of production while still supporting iterative improvements in quality and output. Lean Six Sigma for Optimal System Performance in Manufacturing and Service Organizations: Emerging Research and Opportunities provides upcoming research on the strategies to improve processes in business while using Lean Six Sigma principals and applications. Featuring coverage on a broad range of topics, such as direct model technology, performance rework, and quality management methods, this book is geared towards professionals, academicians, students, and researchers interested in detailed research on recent advancements in the management of risk in all fields.

Organizations are facing major disruptions in technology, consumer preferences, and in the makeup of their workforce, and as a result, they will need to adapt to these rapidly changing times to stay effective. Organizations that are able to tap into the collective knowledge of their employees and leverage their insights will have an advantage over those that lack this connectivity. Implementing a knowledge management (KM) strategy can help organizations improve operational effectiveness, innovation, and adapt to changes, but the majority of KM implementations fail due to misalignment with the organization's existing culture. Organizational culture can enable effective KM, or it can be a barrier to its implementation. The Handbook of Research on Organizational Culture Strategies for Effective Knowledge Management and Performance defines the relationship between organizational culture and knowledge management and how they impact one another. This handbook also identifies critical business practices to assist organizations in transitioning to work from home while maintaining a strong corporate culture that includes beneficial knowledge-sharing behaviors. Covering topics including knowledge management, organizational culture, and change management, this text is essential for managers, executives, practitioners, leaders in business, non-profits, academicians, researchers, and students looking for research on how organizations can thrive and adapt due to emerging global disruptions as well as local or internal disruptions.

Project practitioners and decision makers complain that both parametric and Monte Carlo methods fail to produce accurate project duration and cost contingencies in majority of cases. Apparently, the referred methods have unacceptably high systematic errors as they miss out critically important components of project risk exposure. In the case of complex projects overlooked are the components associated with structural and delivery complexity. Modern Risk Quantification in Complex Projects: Non-linear Monte Carlo and System Dynamics Methodologies zeroes in on most crucial but systematically overlooked characteristics of complex projects. Any mismatches between two fundamental interacting subsystems - a project structure subsystem and a project delivery subsystem - result in non-linear interactions of project risks. Three kinds of the interactions are distinguished - internal risk amplifications stemming from long-term ('chronic') project system issues, knock-on interactions, and risk compounding. Affinities of interacting risks compose dynamic risk patterns supported by a project system. A methodology to factor the patterns into Monte Carlo modelling referred to as non-linear Monte Carlo schedule and cost risk analysis (N-SCRA) is developed and demonstrated. It is capable to forecast project outcomes with high accuracy even in the case of most complex and difficult projects including notorious projects-outliers: it has a much lower systematic error. The power of project system dynamics is uncovered. It can be adopted as an accurate risk quantification methodology in complex projects. Results produced by the system dynamics and the non-linear Monte Carlo methodologies are well-aligned. All built Monte Carlo and system dynamics models are available on the book's companion website.

In today's fast-paced business environment, project managers face the daunting challenge of managing risk effectively amid uncertainty. Traditional project management methodologies often lag, leading to missed deadlines, cost overruns, and subpar outcomes. A comprehensive risk management framework is necessary for organizations to be protected from fate's whims, hindering their ability to achieve strategic objectives. The DMAIC Stochastic Method is a groundbreaking approach that combines Six Sigma principles with stochastic modeling to revolutionize project risk management. Novel Six Sigma DMAIC Approaches to Project Risk Assessment and Management is a guidebook for implementing the DMAIC Stochastic Method in project management. This innovative methodology provides a systematic way of identifying, assessing, and mitigating risks, ensuring that projects stay on track and deliver the desired results. By integrating deterministic and stochastic models, the DMAIC Stochastic Method offers a more holistic view of risk, enabling managers to make informed decisions and proactively address potential issues.

This book integrates for readers three areas of knowledge, pertaining to risk-based project decision making: project risk management (PRM), complexity theory, and decision-making under deep uncertainty (DMDU). Readers will appreciate that in practice, too often relevant complexity and uncertainty factors are either ignored or overlooked resulting in epic project failures. The author discusses a variety of methodologies and a decision-tree-type framework to determine why, when and how particular methodologies should be applied to ensure project success. These include nonlinear Monte Carlo techniques, a dynamic adaptive methodology to adapt to external environment changes, game theory for devising robust decision-making criteria, systems dynamics and cost escalation modelling, as well as risk-based & economic-based alternatives selection methodologies. This book will be an eye-opener for many PRM practitioners, helping to increase their chances of project success by properly handling inescapable project-complexity and deep-uncertainty implications in specific contexts.