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Experience is a great teacher . . . except when it isn't. In this groundbreaking guide, learn how the past can deceive and limit us -- and how healthy skepticism can build a better world. Our personal experience is key to who we are and what we do. We judge others by their experience and are judged by ours. Society venerates experience. From doctors to teachers to managers to presidents, the more experience the better. It's not surprising then, that we often fall back on experience when making decisions, an easy way to make judgements about the future, a constant teacher that provides clear lessons. Yet, this intuitive reliance on experience is misplaced. In The Myth of Experience, behavioral scientists Emre Soyer and Robin Hogarth take a transformative look at experience and the many ways it deceives and misleads us. From distorting the past to limiting creativity to reducing happiness, experience can cause misperceptions and then reinforce them without our awareness. Instead, the authors argue for a nuanced approach, where a healthy skepticism toward the lessons of experience results in more reliable decisions and sustainable growth. Soyer and Hogarth illustrate the flaws of experience -- with real-life examples from bloodletting to personal computers to pandemics -- and distill cutting-edge research as a guide to decision-making, as well as provide the remedies needed to improve our judgments and choices in the workplace and beyond.
Knowledge management captures the right knowledge, to the right user, who in turn uses the knowledge to improve organizational or individual performance to increase effectiveness.
The Acquisition of Strategic Knowledge deals with the automation of the acquisition of strategic knowledge and describes a knowledge acquisition program called ASK, which elicits strategic knowledge from domain experts and puts it in operational form. This book explores the dynamics of intelligent systems and how the components of knowledge systems (including a human expert) interact to produce intelligence. Emphasis is placed on how to represent knowledge that experts require to make decisions about actions. The move toward abstract tasks and how tasks are solved are discussed, along with their implications for knowledge acquisition, particularly the acquisition of expert strategies. This book is comprised of eight chapters and begins with an overview of the knowledge acquisition problem for strategic knowledge, as well as the relevance of strategic knowledge to artificial intelligence. The next chapter describes a dialog session between the ASK knowledge acquisition assistant and the user (""the expert""). The discussion then turns to software architecture with which to represent strategic knowledge; design and implementation of an assistant for acquiring strategic knowledge; and approaches to knowledge acquisition. Two applications of the ASK system are considered: to evaluate the usability of the elicitation technique with real users and to test the adequacy of the strategy rule representation upon which the approach is dependent. The scope of ASK, its sources of power, and its underlying assumptions are also outlined. This monograph will be a valuable resource for knowledge systems designers and those interested in artificial intelligence and expert systems.
Get off the Giant Wheel! 'Strategy' and 'innovation' are terms that have increasingly lost their meaning in today's cut-throat business environment. This book gives these words a fresh meaning to advocate new pathways for change, showing us how to turn grave adversities into lifetime opportunities. Knowledge Ocean Strategy shows us how companies like Aquachill, AirTight Networks, Serum Institutes, Mapro, Ketan Food Exports, PARI, Tata Group, Chitale Dairies and Aditya Auto Test could find simple, refreshing solutions to complex problems to create their own uncontested knowledge space. In this seminal book, innovation strategist and knowledge innovation expert, Parag Kulkarni challenges competition-based strategies and those based on a mere 'more for less' paradigm using classic examples to unfold effective strategies based on associative knowledge building. In the midst of fierce competition and a turbulent market, Knowledge Ocean Strategy presents an important breakthrough in innovation and strategic business thinking and will be a great motivator for organisations that aim to expand knowledge boundaries beyond competitive landscape. It will also help making the transition from competition- to knowledge- centric; analysis- to synthesis-centric and isolation- to association-centric organization building; a systematic approach for a big leap and knowledge advantage.
Knowledge management (KM) has become an important business strategy in an era of accelerated globalization, digitalization, and servitization of products and services. Maximizing the use of organizational resources becomes fundamental for continuous growth and prosperity. Organizations of various kinds such as resource-based organizations, product-based organizations, as well as knowledge-intensive service-oriented organizations require specific policies and support services to improve the knowledge management in their respective organizations. Knowledge Management Strategies and Applications focuses on the way organizations can create knowledge, share existing or new knowledge, and disseminate them among the stakeholders, most importantly among the employees, managers, customers, and suppliers. The selected topics are drawn from several fields of studies and give a multidisciplinary outlook. The book will be interesting not only for the researchers and students but also for the managers who want to improve knowledge sharing and innovation capabilities in their organizations.
In the last few years rapid advances have been made in reproductive medicine, making it necessary for those involved to regularly update their knowledge. The purpose of this book is to describe the state of the art in this field, making it possible for the reader to gain an orientation among all the diagnostic and therapeutic potentials of modern reproductive medicine in order to advise patients fully. Chapters from the fields of gynecology, and reproductive medicine in a specific sense provide knowledge about these subjects. Authors of international standing have contributed chapters on their specialties. These chapters together form a book describing the state of the art in the diagnosis and therapy of sterility in gynecology and andrology.
This book is intended to spark a discourse on, and contribute to finding a clear consensus in, the debate between conceptualizing a knowledge strategy and planning a knowledge strategy. It explores the complex relationship between the notions of knowledge and strategy in the business context, one that is of practical importance to companies. After reviewing the extant literature, the book shows how the concept of knowledge strategies can be seen as a new perspective for exploring business strategies. It proposes a new approach that clarifies how planned and emergent knowledge strategies allow companies to make projections into the uncertain and unpredictable future that dominates today’s economy.
This book is about elicitation: the facilitation of the quantitative expression of subjective judgement about matters of fact, interacting with subject experts, or about matters of value, interacting with decision makers or stakeholders. It offers an integrated presentation of procedures and processes that allow analysts and experts to think clearly about numbers, particularly the inputs for decision support systems and models. This presentation encompasses research originating in the communities of structured probability elicitation/calibration and multi-criteria decision analysis, often unaware of each other’s developments. Chapters 2 through 9 focus on processes to elicit uncertainty from experts, including the Classical Method for aggregating judgements from multiple experts concerning probability distributions; the issue of validation in the Classical Method; the Sheffield elicitation framework; the IDEA protocol; approaches following the Bayesian perspective; the main elements of structured expert processes for dependence elicitation; and how mathematical methods can incorporate correlations between experts. Chapters 10 through 14 focus on processes to elicit preferences from stakeholders or decision makers, including two chapters on problems under uncertainty (utility functions), and three chapters that address elicitation of preferences independently of, or in absence of, any uncertainty elicitation (value functions and ELECTRE). Two chapters then focus on cross-cutting issues for elicitation of uncertainties and elicitation of preferences: biases and selection of experts. Finally, the last group of chapters illustrates how some of the presented approaches are applied in practice, including a food security case in the UK; expert elicitation in health care decision making; an expert judgement based method to elicit nuclear threat risks in US ports; risk assessment in a pulp and paper manufacturer in the Nordic countries; and elicitation of preferences for crop planning in a Greek region.
Researchers have revealed that real expertise, while applied to well-defined tasks with highly circumscribed contexts, often stretches beyond its routine boundaries. For example, a medical doctor may be called upon to diagnose a rare disease or perform emergency surgery outside his or her area of specialization because other experts are not available. Moreover, in some cases, the context for expertise is in a constant state of flux, such that no one case is identical. Expertise Out of Context is a culmination of some of the most insightful studies conducted by researchers in the fields of cognitive systems engineering and naturalistic decision making in the effort to better understand expertise and its development. Born out of the Sixth International Conference on Naturalistic Decision Making, a conference that gathers researchers who study cognition, perception, and reasoning outside of the traditional laboratory, this book is organized in five parts, the first of which provides an overview of the topic and presents varied perspectives. Consequent sections cover how to make sense of things, tools for thinking out of context, how to cope with uncertainty in a changing workplace, and teams operating out of context. As researchers in naturalistic decision making have investigated such areas as the knowledge and decision-making skills of expert firefighters, critical care nurses, military commanders, and aircraft pilots, this volume is of importance to an expansive audience, including individuals in business, government, industry, and society at large.