A term borrowed from sport, a judgment call is a decision that must be made without a fixed, objective rule. The authors highlight the discrepancies between what a researcher should do by textbook standards, and what researchers actually do. They offer ideas for dealing with difficult decisions about how to proceed when undertaking organizational research.
Your guide to making better decisions Despite the dizzying amount of data at our disposal today—and an increasing reliance on analytics to make the majority of our decisions—many of our most critical choices still come down to human judgment. This fact is fundamental to organizations whose leaders must often make crucial decisions: to do this they need the best available insights. In Judgment Calls, authors Tom Davenport and Brook Manville share twelve stories of organizations that have successfully tapped their data assets, diverse perspectives, and deep knowledge to build an organizational decision-making capability—a competence they say can make the difference between success and failure. This book introduces a model that taps the collective judgment of an organization so that the right decisions are made, and the entire organization profits. Through the stories in Judgment Calls, the authors—both of them seasoned management thinkers and advisers—make the case for the wisdom of organizations and suggest ways to use it to best advantage. Each chapter tells a unique story of one dilemma and its ultimate resolution, bringing into high relief one key to the power of collective judgment. Individually, these stories inspire and instruct; together, they form a model for building an organizational capacity for broadly based, knowledge-intensive decision making. You’ve read The Wisdom of Crowds and Competing on Analytics. Now read Judgment Calls. You, and your organization, will make better decisions.
“With good judgment, little else matters. Without it, nothing else matters.” Whether we’re talking about United States presidents, CEOs, Major League coaches, or wartime generals, leaders are remembered for their best and worst judgment calls. In the face of ambiguity, uncertainty, and conflicting demands, the quality of a leader’s judgment determines the fate of the entire organization. That’s why judgment is the essence of leadership. Yet despite its importance, judgment has always been a fairly murky concept. The leadership literature has been conspicuously quiet on what, exactly, defines it. Does judgment differ from common sense or gut instinct? Is it a product of luck? Of smarts? Or is there a process for making consistently good calls? Noel Tichy and Warren Bennis have each spent decades studying and teaching leadership and advising top CEOs such as Jack Welch and Howard Schultz. Now, in their first collaboration, they offer a powerful framework for making tough calls when the stakes are high and the right path is far from obvious. They show how to recognize the critical moment before a judgment call, when swift and decisive action is essential, and also how to execute a decision after the call. Tichy and Bennis bring their three-dimensional model to life with interviews with world-class leaders who have thrived or suffered because of their judgment calls. These stories include: • Jeff Immelt, CEO of General Electric, whose judgment to grow through research and development transformed GE into the world’s premier technology growth company. • Joel Klein, chancellor of the New York City Department of Education, who made tough calls about teachers, students, and parents while turning around a troubled school system. • Jim McNerney, CEO of Boeing, whose strategic judgment helped him reinvigorate his company and restore a culture of trust and respect. • The late general Wayne Downing, who found an unexpected opportunity in the midst of crisis when he led the Special Operations raid to capture Manuel Noriega. • A. G. Lafley, CEO of Procter & Gamble, who bet $57 billion to purchase Gillette and reinvent his company. • Brad Anderson, CEO of Best Buy, who made the call to commit totally to a customer-centric strategy and led his people to execute it. Whether you’re running a small department or a global corporation, Judgment will give you a framework for evaluating any situation, making the call, and correcting if necessary during the execution phase. It will show you how to handle the overlapping domains of people, strategy, and crisis management. And it will help you teach your entire team to make the right call more often. No organization can afford to neglect this crucial discipline—and no previous book has ever brought it into such clear focus.
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
From the Nobel Prize-winning author of Thinking, Fast and Slow and the coauthor of Nudge, a revolutionary exploration of why people make bad judgments and how to make better ones—"a tour de force” (New York Times). Imagine that two doctors in the same city give different diagnoses to identical patients—or that two judges in the same courthouse give markedly different sentences to people who have committed the same crime. Suppose that different interviewers at the same firm make different decisions about indistinguishable job applicants—or that when a company is handling customer complaints, the resolution depends on who happens to answer the phone. Now imagine that the same doctor, the same judge, the same interviewer, or the same customer service agent makes different decisions depending on whether it is morning or afternoon, or Monday rather than Wednesday. These are examples of noise: variability in judgments that should be identical. In Noise, Daniel Kahneman, Olivier Sibony, and Cass R. Sunstein show the detrimental effects of noise in many fields, including medicine, law, economic forecasting, forensic science, bail, child protection, strategy, performance reviews, and personnel selection. Wherever there is judgment, there is noise. Yet, most of the time, individuals and organizations alike are unaware of it. They neglect noise. With a few simple remedies, people can reduce both noise and bias, and so make far better decisions. Packed with original ideas, and offering the same kinds of research-based insights that made Thinking, Fast and Slow and Nudge groundbreaking New York Times bestsellers, Noise explains how and why humans are so susceptible to noise in judgment—and what we can do about it.
Using our moral and technical imaginations to create responsible innovations: theory, method, and applications for value sensitive design. Implantable medical devices and human dignity. Private and secure access to information. Engineering projects that transform the Earth. Multigenerational information systems for international justice. How should designers, engineers, architects, policy makers, and others design such technology? Who should be involved and what values are implicated? In Value Sensitive Design, Batya Friedman and David Hendry describe how both moral and technical imagination can be brought to bear on the design of technology. With value sensitive design, under development for more than two decades, Friedman and Hendry bring together theory, methods, and applications for a design process that engages human values at every stage. After presenting the theoretical foundations of value sensitive design, which lead to a deep rethinking of technical design, Friedman and Hendry explain seventeen methods, including stakeholder analysis, value scenarios, and multilifespan timelines. Following this, experts from ten application domains report on value sensitive design practice. Finally, Friedman and Hendry explore such open questions as the need for deeper investigation of indirect stakeholders and further method development. This definitive account of the state of the art in value sensitive design is an essential resource for designers and researchers working in academia and industry, students in design and computer science, and anyone working at the intersection of technology and society.
People often follow intuitive principles of decision making, ranging from group loyalty to the belief that nature is benign. But instead of using these principles as rules of thumb, we often treat them as absolutes and ignore the consequences of following them blindly. In Judgment Misguided, Jonathan Baron explores our well-meant and deeply felt personal intuitions about what is right and wrong, and how they affect the public domain. Baron argues that when these intuitions are valued in their own right, rather than as a means to another end, they often prevent us from achieving the results we want. Focusing on cases where our intuitive principles take over public decision making, the book examines some of our most common intuitions and the ways they can be misused. According to Baron, we can avoid these problems by paying more attention to the effects of our decisions. Written in a accessible style, the book is filled with compelling case studies, such as abortion, nuclear power, immigration, and the decline of the Atlantic fishery, among others, which illustrate a range of intuitions and how they impede the public's best interests. Judgment Misguided will be important reading for those involved in public decision making, and researchers and students in psychology and the social sciences, as well as everyone looking for insight into the decisions that affect us all.
The central goal of this volume is to bring the learning perspective into the discussion of intuition in judgment and decision making. The book gathers recent work on intuitive decision making that goes beyond the current dominant heuristic processing perspective. However, that does not mean that the book will strictly oppose this perspective. The unique perspective of this book will help to tie together these different conceptualizations of intuition and develop an integrative approach to the psychological understanding of intuition in judgment and decision making. Accordingly, some of the chapters reflect prior research from the heuristic processing perspective in the new light of the learning perspective. This book provides a representative overview of what we currently know about intuition in judgment and decision making. The authors provide latest theoretical developments, integrative frameworks and state-of-the-art reviews of research in the laboratory and in the field. Moreover, some chapters deal with applied topics. Intuition in Judgment and Decision Making aims not only at the interest of students and researchers of psychology, but also at scholars from neighboring social and behavioral sciences such as economy, sociology, political sciences, and neurosciences.
SAGE has been a major force shaping the field of qualitative methods, not just in its specialist methods journals like Qualitative Inquiry but in the ′empirical′ journals such as Social Studies of Science. Delving into SAGE′s deep backlist of qualitative research methods journals, Paul Atkinson and Sara Delmont, editors of Qualitative Research, have selected over 70 articles to represent SAGE′s distinctive contribution to methods publishing in general and qualitative research in particular. This collection includes research from the past four decades and addresses key issues or controversies, such as: explanations and defences of qualitative methods; ethics; research questions and foreshadowed problems; access; first days in the field; field roles and rapport; practicalities of data collection and recording; data analysis; writing and (re) presentation; the rise of auto-ethnography; life history, narrative and autobiography; CA and DA; and alternatives to the logocentric (such as visual methods).
Handbook of Research Methods in Industrial and Organizational Psychology is a comprehensive and contemporary treatment of research philosophies, approaches, tools, and techniques indigenous to industrial and organizational psychology. Only available research handbook for Industrial & Organizational Psychology. Contributors are leading methodological & measurement scholars. Excellent balance of practical and theoretical insights which will be of interest to both novice and experienced organizational researchers. Great companion to the content-oriented Handbooks. Now available in full text online via xreferplus, the award-winning reference library on the web from xrefer. For more information, visit www.xreferplus.com
