Primer on Risk Analysis: Decision Making Under Uncertainty, Second Edition lays out the tasks of risk analysis in a straightforward, conceptual manner, tackling the question, "What is risk analysis?" Distilling the common principles of many risk dialects into serviceable definitions, it provides a foundation for the practice of risk management and decision making under uncertainty for professionals from all disciplines. New in this edition is an expanded risk management emphasis that includes an overview chapter on enterprise risk management and a chapter on decision making under uncertainty designed to help decision makers use the results of risk analysis in practical ways to improve decisions and their outcomes. This book will empower you to enter the world of risk management in your own domain of expertise by providing you with practical, insightful, useful and adaptable knowledge of risk analysis science including risk management, risk assessment, and risk communication. Features: Answers the fundamental question, "What is Risk Analysis?" Presents the tasks of risk management, risk assessment, and risk communication in a straightforward, conceptual manner Responds to the continuing evolution of risk science and addresses the language of risk as it continues to evolve Expands the risk management emphasis with a new chapter to serve private industry and a growing public sector interest in the growing practice of enterprise risk management Includes a new chapter on decision making under uncertainty provides practical guidance and ideas for using risk science to improve decisions and their outcomes Features an expanded set of examples of the risk process that demonstrate the growing applications of risk analysis This book is suitable for executives, professionals and students who seek a fundamental understanding of risk management, risk assessment, and risk communication. A more detailed examination of this topic, suitable for practitioners from any discipline as well as students and professionals who aspire to become experts in the practice of risk analysis science, is found in Principles of Risk Analysis: Decision Making Under Uncertainty, Second Edition, ISBN: 978-1-138-47820-6.

Engaging Resistance: How Ordinary People Successfully Champion Change offers an empirically based explanation that expands our understanding about the nature of resistance to organizational change and the effects of champion behavior. The text presents a new model describing how resistance occurs over time and details what change proponents can do throughout three engagement periods to effectively work with hesitant colleagues. The book's findings are illuminated by examples of six different resistance cases, embedded in the transformation sagas of two real-world organizations. A fundamental premise of this work is that resistance should not be something to avoid or squash as people work to change their organizations. In fact, resistance can be viewed as a natural, healthy part of an organic process. When engaged properly, resisters can help to improve change efforts and strengthen an organization's overall transformation.

Is Apple conscious?

Could a cyber–human system sense a potential terrorist attack?

Or make diagnosing a rare and little-known disease routine?

Computers are not replacing us: they are enhancing us. Different intelligences are joining together to do things we thought were impossible.

Whether it’s devising innovations to tackle climate change, helping job seekers and employers find one another, or identifying the outbreak of a serious disease, groups of humans and machines are already working together to solve all sorts of problems. And they will do a lot more.

The future will be like another world – a place where we’ll think differently. In many ways, we are already there.

With technical skills in ever increasing demand and software updates coming thick and fast, the need for technical training is rising rapidly.This book is the essential guide to establishing, managing, growing and controlling a technical training business within a national or global organisation, providing you with the commercial understanding and industry knowledge you need to succeed.

Managing Industrial Knowledge illuminates the complex processes at work in the creation and successful transfer of corporate knowledge. It is now generally recognized that the competitive advantages of firms depends on their ability to build, utilize and protect knowledge assets. In this volume many of the foremost international authors and pioneers of the study of knowledge in firms present their latest work and insights into organizational knowledge and innovation. In a world where markets, products, technologies, competitors, regulations, and even societies change rapidly, continuous innovation and the knowledge that produces innovation have become key. The chapters in this keynote volume shed new light on the contextual factors in knowledge creation, the links between knowledge and innovation in all aspects of business life and the processes by which these may be fostered or lost in organizations.

Evidence-Based Decision-Making: How to Leverage Available Data and Avoid Cognitive Biases examines how a wide range of factual evidence, primarily derived from a variety of data available to organizations, can be used to improve the quality of business decision-making, by helping decision makers circumvent the various cognitive biases that adversely impact how we all think. The book is built on the following premise: During the past decade, the new 'data world' emerged, in which the rush to develop competencies around business analytics and data science can be characterized as nothing less than the new commercial arms race. The ever-expanding volume and variety of data are well known, as are the great advances in data processing/analytics, data visualization, and related information production-focused capabilities. Yet, comparatively little effort has been devoted to how the informational products of business analytics and data science are 'consumed' or used in the organizational decision-making processes, as the available evidence shows that only some of that information is used to drive some business decisions some of the time. Evidence-Based Decision-Making details an explicit process describing how the universe of available and applicable evidence, which includes organizational and other data, industry benchmarks, scientific studies, and professional experience, can be assessed, amalgamated, and funneled into an objective driver of key business decisions. Introducing key concepts in relation to data and evidence, and the history of evidence-based management, this new and extremely topical book will be essential reading for researchers and students of data analytics as well as those working in the private and public sectors, and in the voluntary sector.

Project teams are the rule, rather than the exception, in today's organizations. But, thanks to the pressure of performance goals, conflicting agendas, and political jockeying, few teams make consistently superior decisions. In "Moving Out of the Box: Tools for Team Decision Making" author Jana M. Kemp, an authority on team decision making, saves the day by offering tested methods and tools that teams and leaders can use to ratchet up their performance level.
The book argues that making good decisions involves expansive group conversation that leads to sound conclusions and swift execution. This sounds simple, but in many organizations, making a decision and seeing it through can become an exercise in frustration for managers and employees alike. At one end of the spectrum are "command-and-control" decisions, proclaimed from on-high and implemented through the ranks without input or buy-in from those affected by the decision. This approach can lead to resentment and backlash. At the other end are purely collaborative, consensus-driven decisions that often lead to inoffensive, weak choices and sub-par results.
"Moving Out of the Box" shows that there is a time for consensus, a time for command-and-control, and a time to integrate both approaches. Providing examples of successes and failures, the text identifies five decision-making profiles--antisurvival, boxed-in, neutral, engaged enthusiasm, extreme excitement--to help you position yourself in relation to your teammates, facilitate discussion, and steer your group toward the most effective end point. The text includes scenarios, exercises, quizzes, sample questions, and other conversation starters. And, the book ends with a blueprint for putting decisions into action.

In this age of Big Data and analytics, knowledge gained through experiential learning and intuition may be taking a back seat to analytics. However, the use of intuition should not be underestimated and should play an important role in the decision process. How Well Do Executives Trust Their Intuition covers the Fulbright research study conducted by this international team of editors. The main question of their investigation is: How well do executives trust their intuition? In other words, do they typically prefer intuition over analysis and analytics. And equally importantly, what types of intuition may be most favorable looking at different variables? The research utilizes survey and biometrics approaches with C-level executives from Canada, U.S., Poland, and Italy. In addition, the book contains chapters from leading executives in industry, academia, and government. Their insights provide examples of how their intuition enabled key decisions that they made. This book covers such topics as: Using intuition How gender, experience, role, industry, and country affect intuition Trust and intuition in management Trusting intuition It's a matter of heart Leadership intuition and the future of work Creating an intuitive awareness for executives Improvisation and instinct. The book explores how executives can use intuition to guide decision making. It also explains how to trust intuition-based decisions. How Well Do Executives Trust Their Intuition is a timely and prescient reminder in this age of data-driven analytics that human insight, instinct, and intuition should also play key roles.

"Applications of Management Science" is a blind refereed serial publication published on an annual basis. The objective of this research annual is to present state-of-the-art studies in the application of management science to the solution of significant managerial decision-making problems. It significantly aids the dissemination of actual applications of management science in both the public and private sectors. Volume 13 is directed toward the application of management science to financial management, specifically in portfolio analysis and in productivity management such as Data Envelopment Analysis (DEA). Arranged in two sections, the first comprises a collection of financial applications papers, while the second focuses on the use of DEA in such wide-ranging environments as airport operations, freight railroads, gynaecological departments, severe coastal storms, and performance evaluation and classification of universities and public schools. This volume will prove valuable to researchers and practitioners of management science and operations research, as well as being a vital companion to portfolio analysts and industrial and financial engineers alike.

A breakthrough in management thinking, "weird ideas" can

help every organization achieve a balance between sustaining performance and fostering new ideas. To succeed, you need to be both conventional "and" weird.

Hire misfits

Pursue the impractical

Find happy people and encourage them to fight

Reward failure but punish inaction

Forget your own successes

These and other counterintuitive strategies will unlock ideas you never knew you had.

A guide to the essential skills of project management, enabling you to bring in projects on time and within budget. Juggling all the tasks and resources you need to make a project run smoothly can seem like an onerous task - from engaging with stakeholders and scoping out the full specification of the project, through to keeping a rein on costs and sticking to schedules. Manage Projects Successfully offers calm and practical advice to help you with setting priorities, communicating with others, monitoring progress and dealing with unexpected events. Practical, easy to read and jargon-free, the book contains a quiz to assess strengths and weaknesses, step-by-step guidance and action points, top tips to bear in mind for the future, common mistakes and advice on how to avoid them, and summaries of key points.

Wall Street Journal Best Seller Finalist: The AMA Leonard L. Berry Book Prize Winner: The Eric Hoffer Book Award (Business) Winner: INDIE Gold Medal Book Award (Business) How are a men's grooming brand and frustrated "stuck-at-work" dads leading a revolution in masculinity post #MeToo? What can the decline of a global lingerie brand and corporate hackathons teach us about how fear can stifle innovation? How does hiring "neuro-diverse" workers and creating empathetic shampoo bottles signal a dramatic shift toward compassion in the workplace? For the past 9 years, marketing expert and Georgetown University Professor Rohit Bhargava has curated his best-selling list of non-obvious trends by asking the questions that most trend predictors miss. In this all-new ninth edition, discover what more than a million readers already have: how to use the power of non-obvious thinking to grow your business and make a bigger impact in the world. In total, the Non-Obvious 2019 edition features 15 all-new trends across 5 categories including Culture; Consumer Behavior, Marketing; Social Media, Media & Education, Technology; Design plus Economics; Entrepreneurship. The book also features a detailed section with a review and rating for more than 115 previously predicted trends, with longevity ratings for each. As with the original version, this new edition of Non-Obvious also delves into the curation process the author has used for years to build his Trend Reports and takes readers behind the scenes of trend curation (much to the delight of past readers who have been asking about this for years), and show them the methodology they can use to predict the future for themselves.

Energy Risk Modeling is a primer on statistical methods for managers, students and anybody interested in the field. Illustrated through elementary and more advanced statistical Methods, it is primarily aimed at those individuals who need a gentle introduction in how to go about using statistical methods for modeling energy price risk. Statistical ideas are presented by outlining the necessary concepts and illustrating how these ideas can be implemented. This is the first energy risk book on the market to focus specifically on the role of statistical methods. Its practical approach makes the book a very useful reference and an interesting read.

Drawing upon his considerable practical experience in the field and his highly regarded theoretical work, Chacko explores the use of systems science in solving complex problems in a variety of contexts. The author operationally defines the characteristics of problems that require a systems approach, presents his own step-by-step systems approach protocol, and takes the reader through 25 applications of the protocol to actual events. Ranging from global strategy decision-making to corporate sales planning, the case examples clearly demonstrate the ways in which the systems approach can be an effective operational tool for managers and policymakers involved in decision-making hituations characterized by difficulty and uncertainty.

The case examples included fall into two major categories: missions and markets. In the first group, Chacko analyzes problems such as the U.S. response to Soviet threats during the Cuban missile crisis, the decision to attempt to achieve a nuclear force reduction agreement, and the questions of where and how to base the nation's strategic air forces. Among the market applications examined are Texas Instruments' decision to develop, manufacture, and market semiconductor devices; a corporate strategy to increase market share by 30 percent; and the evaluation of electronic alternatives to paper-based communications. Throughout, Chacko pays particular attention to developing a workable approach to problem-solving in an atmosphere of complexity and uncertainty. His work will be especially useful to marketing and R&D professionals as well as to students of systems science and analysis.

This book undertakes to marry the concepts of "Concept Mapping" with a "Design Thinking" approach in the context of business analysis. While in the past a lot of attention has been paid to the business process side, this book now focusses information quality and valuation, master data and hierarchy management, business rules automation and business semantics as examples for business innovation opportunities. The book shows how to take "Business Concept Maps" further as information models for new IT paradigms. In a way this books redefines and extends business analysis towards solutions that can be described as business synthesis or business development. Business modellers, analysts and controllers, as well as enterprise information architects, will benefit from the intuitive modelling and designing approach presented in this book.Thepragmatic and agile methodspresented can be directly applied to improve the wayorganizations manage their business concepts and their relationships.

"This book is a great contribution to the information management community. It combines a theoretical foundation with practical methods for dealing with important problems. This is rare and very useful. Conceptual models that communicate business reality effectively require some degree of creative imagination. As such, they combine the results of business analysis with communication design, as is extensively covered in this book."

Dr. Malcolm Chisholm, President at AskGet.com Inc.

Truly understanding business requirements has always been a major stumbling block in business intelligence (BI) projects. In this book, Thomas Frisendal introduces a powerful technique business concept mapping that creates a virtual mind-meld between business users and business analysts. Frisendal does a wonderful explaining and demonstrating how this tool can improve the outcome of BI and other development projects ."

Wayne Eckerson, executive director, BI Leadership Forum

"

This book, originally published in 1996, develops a model of information gathering for small businesses. Whilst all small business owners gather and process some information, the quality and types of information gathered is limited. Size and resource constraints force small business owners to make difficult decisions related to the research that they conduct. The model developed in this book is tested in part through a study of the information gathering practices of small owners/managers in the landscaping industry in Wisconsin, USA.

This is the first book to provide a comprehensive and systematic introduction to the ranking methods for interval-valued intuitionistic fuzzy sets, multi-criteria decision-making methods with interval-valued intuitionistic fuzzy sets, and group decision-making methods with interval-valued intuitionistic fuzzy preference relations. Including numerous application examples and illustrations with tables and figures and presenting the authors' latest research developments, it is a valuable resource for researchers and professionals in the fields of fuzzy mathematics, operations research, information science, management science and decision analysis.

In this age of Big Data and analytics, knowledge gained through experiential learning and intuition may be taking a back seat to analytics. However, the use of intuition should not be underestimated and should play an important role in the decision process. How Well Do Executives Trust Their Intuition covers the Fulbright research study conducted by this international team of editors. The main question of their investigation is: How well do executives trust their intuition? In other words, do they typically prefer intuition over analysis and analytics. And equally importantly, what types of intuition may be most favorable looking at different variables? The research utilizes survey and biometrics approaches with C-level executives from Canada, U.S., Poland, and Italy. In addition, the book contains chapters from leading executives in industry, academia, and government. Their insights provide examples of how their intuition enabled key decisions that they made. This book covers such topics as: Using intuition How gender, experience, role, industry, and country affect intuition Trust and intuition in management Trusting intuition It's a matter of heart Leadership intuition and the future of work Creating an intuitive awareness for executives Improvisation and instinct. The book explores how executives can use intuition to guide decision making. It also explains how to trust intuition-based decisions. How Well Do Executives Trust Their Intuition is a timely and prescient reminder in this age of data-driven analytics that human insight, instinct, and intuition should also play key roles.

Operational risk is one of the oldest risks in the banking sector, and yet regulatory bodies including the Basle Committee are still working on a regulatory framework. Damage control measures introduced by banks have often proved ineffective. The successful management of operational risk will be a significant competitive advantage for banks in the future. This book is a practical guide to achieving control of operational risk. Using qualitative analysis, the author suggests risk identification procedures and provides tools for the analysis, quantification, and management of risk. He goes on to discuss future developments in both the regulatory and insurance sectors, including the most recent Basle Committee proposals.

Business models are the beating heart of your firm's value proposition.

Great business models drive rapid growth; bad business models can doom the most promising ventures. Brilliant Business Models clearly shows you how to create, test, adapt, and innovate successful and appropriate business models in any business context. Every company has a business model. When the business model works, the company creates value. Brilliant Business Models combines the latest research, straightforward tools and current examples to bring this surprisingly tricky topic to life. Straightforward cases from the author's research and experience highlight key lessons. This book applies a novel, life-cycle based approach to make business models relevant to your company's development stage. Your company changes over time-so should your business model.

- Understand how and why business models matter to your organisations success

- Learn how to evaluate and test business models to identify the most appropriate model

- Use the business model life-cycle approach to keep your business model relevant and successful.

Macroeconomic turbulence and volatility in financial markets can fatally affect firm's performance. Very few firms make serious attempts to inform market participants and other outsider stakeholders about the impact of macroeconomic fluctuations--manifested as changes in exchange rates, interest rates, inflation rates and stock market returns-- on performance. These stakeholders, as well as financial analysts, must make their own assessments but they generally lack both the required tools and the information to do so. Worse, top management in most firms do not themselves possess the tools to identify whether a change in performance represents a change in the firm's intrinsic competitiveness or a reflection of macroeconomic conditions outside their influence.
Corporate Decision-Making with Macroeconomic Uncertainty: Performance and Risk Management develops and presents in an easily comprehensible way the essential elements of a corporate strategy for managing uncertainty in the macroeconomic environment. This Macroeconomic Uncertainty Strategy, or MUST, enhances firm value by allowing management and external stakeholders to become better informed about the development of corporate competitiveness in a turbulent macroeconomic environment. The MUST also provides guidelines for how to develop a successful risk management program.
This research based book includes methods to identify the impact of macroeconomic fluctuations on cash flows and value, to develop strategies for macroeconomic risk management, to provide informative reports to external stakeholders, to evaluate the relative performance of subsidiaries and business units in multinational companies, and to evaluateperformance for purposes of setting executive compensation and of fulfilling the due diligence requirements in an M & A context. The authors' use of value-based management, various performance measurements, the concept of real options, and risk management from the perspective of shareholder wealth maximization, makes the book rich and compelling. They address researchers and students in the field of international business, finance and corporate governance. On the business side, executives with strategic responsibilities, chief financial officers, and bankers who analyze corporate performance and give advice on risk management will benefit from reading this book.

This book provides a practice-driven, yet rigorous approach to executive management decision-making that performs well even under unpredictable conditions. It explains how executives can employ prescribed engineering design methods to arrive at robust outcomes even when faced with uncontrollable uncertainty. The book presents the paradigm and its main principles in Part I; in Part II it illustrates how to frame a decision situation and how to design the decision so that it will produce its intended behavior. In turn, Part III discusses in detail in situ case studies on executive management decisions. Lastly, Part IV summarizes the book and formulates the key lessons learned.

This book presents different techniques and methodologies that used to help improve the decision-making process and increase the likelihood of success in sector as follows: agriculture, financial services, logistics, energy services, health and others. This book collects and consolidates innovative and high-quality research contributions regarding the implementation techniques and methodologies applied in different industrial sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields as follows: supply chain, business intelligence, e-commerce, social media and others. The book contents are useful for Ph.D., Ph.D. students, master and undergraduate students, and professional and students in industrial engineering, computer science, information systems, data analytics and others.