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A comprehensive look at decision-making practices and what can be done to eradicate errors Designed to help companies in any industry make fewer mistakes, The Economist Guide to Decision Making is an in-depth look at the tools and techniques for preventing errors and improving efficiency. Exploring how and why decisions go awry in the first place; what decision-makers can do to counter the psychological, social, and other forces that can undermine individual judgment and pull organizations off course; and highlighting often overlooked aspects of the science of decision making, the book illustrates how mistakes really happen so that they can be better avoided. Drawing on examples taken from companies around the world, including Motorola, EMI, and the London Stock Exchange, as well as gold mines in South Africa, and food contamination scandals in China, The Economist Guide to Decision Making thoughtfully considers how companies can be more effective and improve their decision-making strategies. Presents new ways for companies to improve their decision-making processes Explains how decision-making works and discusses the tools available for helping reduce the likelihood of errors Draws on examples taken from companies around the globe Decision making can never prevent mistakes entirely, but a better understanding of how to improve practices and processes is invaluable for companies looking to increase their overall efficiency. The Economist Guide to Decision Making leads the way.
This book presents a guidance on a large range of decision aids for risk analysts and decision makers in industry so that vital decisions can be made in a more consistent, logical, and rigorous manner. It provide good industry practices on how risk decision making is conducted in the chemical industry from many risk information sources as well as all the elements that need to be addressed to ensure good decisions are being made. Topics Include: Identifying Risk Decisions, A Risk Decision Strategy for Process Safety, Case Studies in Risk Decision Making Failures, Guidance on Selecting Decision Aids, Templates for Decision Making in Risk-Based Process Safety, Understanding Process Hazards & Worst Possible Consequences, Management of Change as an Exercise in Risk Identification, Inherently Safer Design as an Exercise in Risk Tradeoff Analysis, Using LOPA and Risk Matrices in Risk Decisions, Using CPQRA and Safety Risk Criteria in Risk Decisions, Group Decision Making, Avoiding Decision Traps, Documentation of Process Safety Risk Decisions
This book outlines the creative process of making environmental management decisions using the approach called Structured Decision Making. It is a short introductory guide to this popular form of decision making and is aimed at environmental managers and scientists. This is a distinctly pragmatic label given to ways for helping individuals and groups think through tough multidimensional choices characterized by uncertain science, diverse stakeholders, and difficult tradeoffs. This is the everyday reality of environmental management, yet many important decisions currently are made on an ad hoc basis that lacks a solid value-based foundation, ignores key information, and results in selection of an inferior alternative. Making progress – in a way that is rigorous, inclusive, defensible and transparent – requires combining analytical methods drawn from the decision sciences and applied ecology with deliberative insights from cognitive psychology, facilitation and negotiation. The authors review key methods and discuss case-study examples based in their experiences in communities, boardrooms, and stakeholder meetings. The goal of this book is to lay out a compelling guide that will change how you think about making environmental decisions. Visit www.wiley.com/go/gregory/ to access the figures and tables from the book.
Known for encouraging step-by-step problem solving and for connecting techniques to real-world scenarios, David Ammons’ Tools for Decision Making covers a wide range of local government practices—from the foundational to the advanced. Brief and readable, each chapter opens with a problem in a hypothetical city and then introduces a tool to address it. Thoroughly updated with new local government examples, the second edition also incorporates chapters devoted to such additional techniques as sampling analysis, sensitivity analysis, financial condition analysis, and forecasting via trend analysis. Numerous tables, figures, exhibits, equations, and worksheets walk readers through the application of tools, and boxed features throughout each chapter present other uses for techniques, helpful online resources, and common errors. A handy guide for students and an invaluable resource and reference for practitioners.
"The best book on collaboration ever written!" —Diane Flannery, founding CEO, Juma Ventures And now this classic book is even better—much better. Completely revised and updated, the second edition is loaded with new tools and techniques. Two powerful new chapters on agenda design A full section devoted to reaching closure More than twice as many tools for handling difficult dynamics 70 brand-new pages and over 100 pages significantly improved
Data science is expanding across industries at a rapid pace, and the companies first to adopt best practices will gain a significant advantage. To reap the benefits, decision makers need to have a confident understanding of data science and its application in their organization. It is easy for novices to the subject to feel paralyzed by intimidating buzzwords, but what many don’t realize is that data science is in fact quite multidisciplinary—useful in the hands of business analysts, communications strategists, designers, and more. With the second edition of The Decision Maker’s Handbook to Data Science, you will learn how to think like a veteran data scientist and approach solutions to business problems in an entirely new way. Author Stylianos Kampakis provides you with the expertise and tools required to develop a solid data strategy that is continuously effective. Ethics and legal issues surrounding data collection and algorithmic bias are some common pitfalls that Kampakis helps you avoid, while guiding you on the path to build a thriving data science culture at your organization. This updated and revised second edition, includes plenty of case studies, tools for project assessment, and expanded content for hiring and managing data scientists Data science is a language that everyone at a modern company should understand across departments. Friction in communication arises most often when management does not connect with what a data scientist is doing or how impactful data collection and storage can be for their organization. The Decision Maker’s Handbook to Data Science bridges this gap and readies you for both the present and future of your workplace in this engaging, comprehensive guide. What You Will Learn Understand how data science can be used within your business. Recognize the differences between AI, machine learning, and statistics.Become skilled at thinking like a data scientist, without being one.Discover how to hire and manage data scientists.Comprehend how to build the right environment in order to make your organization data-driven. Who This Book Is For Startup founders, product managers, higher level managers, and any other non-technical decision makers who are thinking to implement data science in their organization and hire data scientists. A secondary audience includes people looking for a soft introduction into the subject of data science.
Deciding by Roger Estall and Grant Purdy This book is intended to help decision-makers of all types make even better decisions. The central thesis is that whether 'Deciders' realise it or not, all decisions are made using what the authors describe as 'the universal method of decision-making'. The adequacy of each decision therefore depends on how skilfully the method is applied, whether Deciders achieve 'sufficient certainty' about the outcomes that will flow from the decision and the contribution made by those outcomes to the organisation's Purpose. The authors shun jargon. The eight chapters and five appendices of the book include many practical tips with examples and anecdotes from various sectors that explain the universal method. Issues such as context, assumptions, and detecting and responding to change after the decision is made are addressed and there are clear, simple diagrams - including an easy-to-follow illustration of the universal method - to help the reader grasp the main concepts. The authors say that Deciding is a book for thinkers, rather than for those seeking a formulaic or procedurally rigid methodology. They will have realised their goal, they say, if Deciding causes readers to reflect on the way they apply the universal method, reinforce what they already do well, and recognise opportunities to improve. The Authors Roger Estall and Grant Purdy who first met in 2003, have similar, yet separate 40+ year careers as both Deciders and advisers. They have each chaired and served on boards and held executive and technical management roles in multiple areas of the public, private and not-for-profit sectors. Now based in Sydney and Melbourne respectively, their careers have taken them to many parts of the world.
An important activity for an organization’s leaders and managers is making decisions associated with problem-solving. Making decisions is a complex endeavor where choices are made from courses of action where resources are limited and in the presence of constraints. Written as a guide, this book offers a quantitative approach to decision-making. The process of decision-making is presented from a holistic point of view. This book offers a basic understanding of the issues and processes involved in decision-making by presenting the tools associated with problem analysis, tools that enable developing choices, as well as tools used to normalize judgment criteria achievement so that they are comparable across measures using different scales. Several solution methods for decision problems that have one evaluation criterion are explained first. Methods for problems with multiple criteria for evaluating alternate solutions are discussed as well. The multiple criteria methods include those that do not require any explicit preference or trade-off information from the decision-maker and those that do require the decision-maker’s preference or trade-off information. The intended audience of the book includes technical and nontechnical professionals, managers, and supervisors at all levels, and engineering and business educators. The book would also be useful to undergraduate students, beginning graduate students, and recent graduates of professional programs, or in mathematics, computer science, natural sciences, and humanities.
It’s said that decisions are made in the details. And yet, we make hundreds, even thousands of decisions daily. So how do Christians process all those details and come up with answers that please God? In Decision-Making by the Book, author, lecturer, and radio personality, Haddon W. Robinson, takes his usual clear-eyed, not-a-word-wasted approach, to help you make decisions according to biblical principles—every time.
Make better decisions – every day, everywhere! Decide and Conquer, Second Edition