Should you take a much-needed vacation or save money for the kids' education? Protect the endangered owl or maintain jobs for loggers? Have a heart-to-heart with a lying employee or fire him on the spot?

All of us face ethical choices. Sometimes they're easy: One side is wrong and the other is right. But how do we handle the really tough "right vs. right" dilemmas, where each side has strong moral arguments and we can't do both? This book helps us build Ethical Fitness(R)--a values-based decision-making process so definitive that it's now a registered trade mark.

Rushworth M. Kidder, founder of the Institute for Global Ethics, teaches us how to think for ourselves in order to resolve ethical dilemmas ranging from the intimately personal to the broadly philosophical. Unique in its approach and rich with illustrative anecdotes--updated with examples of real-world conflicts from today's political realm and from Dr. Kidder's own observations--How Good People Make Tough Choices is an indispensable resource for spotting, understanding, and resolving our toughest decisions.

Everything a first-time manager needs to know about leading and managing other people. It's great to find yourself with a new promotion and to suddenly have fresh challenges at work. But managing other people can be a daunting responsibility when it's your first time - particularly if you find yourself as the boss of former colleagues or friends. Packed with practical advice, Succeed as a New Manager will help you sail through issues such as getting to know your team, dealing with internal politics, the rise of hybrid and remote working, motivating others, and celebrating success. Whatever your new job, Succeed As a New Manager will help you find your feet and get great results along the way. This book also includes a quiz, step-by-step action points, common mistakes and advice on how to avoid them, top tips, and summaries of key points.

This edited volume looks at whether it is possible to be more transparent about uncertainty in scientific evidence without undermining public understanding and trust. With contributions from leading experts in the field, this book explores the communication of risk and decision-making in an increasingly post-truth world. Drawing on case studies from climate change to genetic testing, the authors argue for better quality evidence synthesis to cut through the noise and highlight the need for more structured public dialogue. For uncertainty in scientific evidence to be communicated effectively, they conclude that trustworthiness is vital: the data and methods underlying statistics must be transparent, valid, and sound, and the numbers need to demonstrate practical utility and add social value to people's lives. Presenting a conceptual framework to help navigate the reader through the key social and scientific challenges of a post-truth era, this book will be of great relevance to students, scholars, and policy makers with an interest in risk analysis and communication.

An economy low in carbon and high in life satisfaction will require thousands, if not millions of exceptional leaders. This book is the first to bring together sustainability knowledge with the leadership skills and tools to help you become one of those leaders. In it you will find everything you need to get started straight away, and to grow your effectiveness, even in a world that remains perversely intent on the opposite. Whether you are new to the whole idea of sustainability, or reasonably well informed but not entirely confident about what to do for the best, this guide will help you 'do' sustainability. Free of checklists and policy recommendations, the focus is on you, and on developing your capacity to identify the right thing to do wherever you are and whatever your circumstances. This is essential reading for those in or aspiring to sustainability-literate leadership, and a must for all those teaching leadership and management.

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.

Advances in Business and Management Forecasting presents state-of-the-art studies in the application of forecasting methodologies to suce areas as finance, economics, technology, and forecasting accuracy. Volume 11 is split into four sections which address Forecasting in Marketing and Sales, Forecasting in Health Care, Forecasting in Business and Economics, and Topics in Forecasting. A number of topics are examined including brand experience, hospital bed management, population growth and online information sharing.

The long-awaited follow-up to the international bestsellers, Business Model Generation and Value Proposition Design Alex Osterwalder and Yves Pigneurs' Business Model Canvas changed the way the world creates and plans new business models. It has been used by corporations and startups and consultants around the world and is taught in hundreds of universities. After years of researching how the world's best companies develop, test, and scale new business models, the authors have produced their definitive work. The Invincible Company explains what every organization can learn from the business models of the world's most exciting companies. The book explains how companies such as Amazon, IKEA, Airbnb, Microsoft, and Logitech, have been able to create immensely successful businesses and disrupt entire industries. At the core of these successes are not just great products and services, but profitable, innovative business models--and the ability to improve existing business models while consistently launching new ones. The Invincible Company presents practical new tools for measuring, managing, and accelerating innovation, and strategies for reducing risk when launching new business models. Serving as a blueprint for your growth strategy, The Invincible Company explains how to constantly stay ahead of your competition. In-depth chapters explain how to create new growth engines, change how products and services are created and delivered, extract maximum profit from each type of business model, and much more. New tools--such as the Business Model Portfolio Map, Innovation Metrics, Innovation Strategy Framework, and the Culture Map--enable readers to understand how to design invincible companies. The Invincible Company: Helps large and small companies build their growth strategy and manage their core simultaneously Explains the world's best modern and historic business models Provides tools to assess your business model, innovation readiness, and all of your innovation projects Presented in striking 4-color, and packed with practical visuals and tools, The Invincible Company is a must-have book for business leaders, entrepreneurs, and innovation professionals.

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.

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

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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.

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.

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.

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.

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.

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.

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.

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.

This laboratory manual is intended for business analysts who wish to increase their skills in the use of statistical analysis to support business decisions. Most of the case studies use Excel,today's most common analysis tool. They range from the most basic descriptive analytical techniques to more advanced techniques such as linear regression and forecasting. Advanced projects cover inferential statistics for continuous variables (t-Test) and categorical variables (chi-square), as well as A/B testing. The manual ends with techniques to deal with the analysis of text data and tools to manage the analysis of large data sets (Big Data) using Excel. Includes companion files with solution spreadsheets, sample files, data sets, etc. from the book. Features: Teaches the statistical analysis skills needed to support business decisions Provides projects ranging from the most basic descriptive analytical techniques to more advanced techniques such as linear regression, forecasting, inferential statistics, and analyzing big data sets Includes companion files with solution spreadsheets, sample files, data sets, etc. used in the book's case studies

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 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.

When you start a new managerial role, there is an inevitable contrast between what you believed you would find and what you're actually faced with. And Now What? helps you manage this gap between expectation and reality, ensuring that you get off to the best possible start in your new job. This book is structured in two parts, and it begins by offering readers a panoramic perspective of what a 'landing' entails in terms of personal self-leadership and managing people and uncertainty. The first part of the book reviews the process of taking charge in your new role, from preparation through to implementation. The second part presents a range of case studies arranged in order of increasing professional responsibility, allowing the reader to take a trip from the first stages of a professional leader's life to the highest responsibilities of a chairperson's role - experiencing changes, promotions, exits, internationalizations and take-offs along the way. The most important thing for a leader is not to discover how to motivate, but to better understand their reasons for motivating others. In this way, you can think of the leadership journey as both a personal and a professional adventure.

Political speeches don't just mirror what transpires in the world; they have the potential to change people's minds, move them into action, reinforce existing assumptions, and reshape cultures. They define public participation and are the 'nexus points' of disparate discourses, both nationally and globally. Because of their power to sustain the status quo or effect change, speeches warrant public attention and careful study. To examine them is to understand how they are crafted, what elements they possess, and how these elements come together to affect their audience. This volume analyzes selected speeches delivered by Benigno 'Noynoy' Simeon C. Aquino III, President of the Republic of the Philippines from 2010 to 2016. They are speeches that have been used to shape public perception, gain support, and build identification between Aquino's presidency and his audience. By mobilizing the concepts of presidential image, myth, metaphors, and rhetorical citizenship, readers are guided through a process of examining the rhetorical trajectory of the Philippine presidency, how a president's discourse has attempted to shape Philippine socio-political reality, and how the evolving milieu the president has found himself in shapes his discourse. The essays in this volume will hopefully generate a discussion not only on the place of President Benigno Aquino's rhetoric in Philippine presidential history, but also of how rhetorical practices in an evolving democratic society in Asia can extend and expand theorizations of presidential rhetoric and political communication at large.

This volume examines different aspects of management consulting in an innovative and comprehensive way. The chapters are based on original research and cover a wide range of countries (e.g. Sweden, the Netherlands, Finland, Italy, Germany, Australia, and Norway), consulting firms, and client organizations. They show how the consulting industry managed to reach the importance it has today; how consultancies and management gurus develop new ideas and/or repackage old ones; and how consultants find or retain clients and interact with them in a given project.

Risk communication: the evolution of attempts Risk communication is at once a very new and a very old field of interest. Risk analysis, as Krimsky and Plough (1988:2) point out, dates back at least to the Babylonians in 3200 BC. Cultures have traditionally utilized a host of mecha nisms for anticipating, responding to, and communicating about hazards - as in food avoidance, taboos, stigma of persons and places, myths, migration, etc. Throughout history, trade between places has necessitated labelling of containers to indicate their contents. Seals at sites of the ninth century BC Harappan civilization of South Asia record the owner and/or contents of the containers (Hadden, 1986:3). The Pure Food and Drug Act, the first labelling law with national scope in the United States, was passed in 1906. Common law covering the workplace in a number of countries has traditionally required that employers notify workers about significant dangers that they encounter on the job, an obligation formally extended to chronic hazards in the OSHA's Hazard Communication regulation of 1983 in the United States. In this sense, risk communication is probably the oldest way of risk manage ment. However, it is only until recently that risk communication has attracted the attention of regulators as an explicit alternative to the by now more common and formal approaches of standard setting, insuring etc. (Baram, 1982)."