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Knowledge-Driven Profit Improvement: Implementing Assessment Feedback Using PDKAction Theory
by Monte Lee MatthewsThis book presents an innovative and radically logical way of thinking about organizational knowledge and competition that centers on discipline, integration and focus. By tapping into the previously unrealized strengths that lie in all companies, the author suggests that it is possible for companies to move beyond informational chaos to create focused and enticing new opportunities. The 12 step method presented in the first five chapters show you how to take information from feedback from assessments, surveys and audits, convert it into usable knowledge and get bottom line improvements. The strategy expands the plan-do-check-act (PDCA) model into a Plan-Do-Knowledge-Act (PDKA) process. The case studies provided reinforce the principles and the theory behind them. Significant challenges face any organization intent on becoming world-class by managing knowledge effectively. They can be classified into four types: making use of your information by integrating it, organizing the different forms of information into a manageable framework, focusing equal attention on your strengths and your weaknesses, developing decision-making criteria based on key company drivers. The12 steps outlined in Knowledge-Driven Profit Improvement: Implementing Assessment Feedback Using PDKAction Theory will show you how to make your company into a world-class organization. Features Assists companies in becoming more competitive Serves as a guide for companies to use when taking their feedback from assessments, surveys, and audits, then integrating the feedback, and prioritizing it so that financial and operational improvements can be made Allows companies to use the information they have been accruing for years Helps companies establish better business priorities for the purpose of better planning Demonstrates the significance of improvements made by using the information gained from assessments.
Knowledge Economies: Organization, location and innovation (Routledge Studies in Global Competition #Vol. 39)
by Wilfred DolfsmaThis book makes a strong and coherent contribution to the discussion of the knowledge economy and of innovation, offering a range of theoretical insights from different disciplinary perspectives. The role of knowledge, knowledge development, and knowledge diffusion is discussed at the micro level of individuals and firms, but also at the level of groups of firms and sectors, as well as at the level of the economy at large. Dolfsma analyses knowledge development and diffusion as a thoroughly social process, depending on communicative structures to support cooperation. The author combines insights from economics and management with perspectives from sociology (network theory), anthropology (gift exchange), social psychology, science studies and information theory (scientometrics), using empirical analyses to demonstrate where knowledge impacts the dynamics of an economy.
Knowledge Economy: The Indian Challenge
by Ashoka Chandra M.K. KhanijoKnowledge Economy: The Indian Challenge engages with the challenge of transforming the Indian economy to a knowledge economy. Thus, it looks at change management of the economy with a focus on: • Economic trends and critical activities contributing to the desired change • Educational issues for preparing the human resources • Structural issues for developing institutional frameworks • Societal issues for ultimately benefiting stakeholders
The Knowledge Economy
by Roberto Mangabeira UngerRevolutionary account of the transformative potential of the knowledge economyAdam Smith and Karl Marx recognized that the best way to understand the economy is to study the most advanced practice of production. Today that practice is no longer conventional manufacturing: it is the radically innovative vanguard known as the knowledge economy. In every part of the production system it remains a fringe excluding the vast majority of workers and businesses. This book explores the hidden nature of the knowledge economy and its possible futures.The confinement of the knowledge economy to these insular vanguards has become a driver of economic stagnation and inequality throughout the world. Traditional mass production has stopped working as a shortcut to economic growth. But the alternative—a deepened and socially inclusive form of the knowledge economy—continues to lie beyond reach in even the richest countries. The shape of contemporary politics on both the left and the right reflects a failure to come to terms with this dilemma and to overcome it.Unger explains the knowledge economy in the truncated and confined form that it has today and proposes the way to a knowledge economy for the many: changes not just in economic institutions but also in education, culture, and politics. Just as Smith and Marx did in their time, he uses an understanding of the most advanced practice of production to rethink both economics and the economy as a whole.
Knowledge Economy and the City: Spaces of knowledge (Regions And Cities Ser. #47)
by Ali MadanipourThis book explores the relationship between space and economy, the spatial expressions of the knowledge economy. The capitalist industrial economy produced its own space, which differed radically from its predecessor agrarian and mercantile economies. If a new knowledge-based economy is emerging, it is similarly expected to produce its own space to suit the new circumstances of production and consumption. If these spatial expressions do exist, even if in incomplete and partial forms, they are likely to be the model for the future of cities.
Knowledge Economy in the Megalopolis: Interactions of innovations in transport, information, production and organizations (Routledge Advances in Regional Economics, Science and Policy)
by William P. Anderson T. R. Lakshmanan Yena SongIn recent decades urban regions around the world have engaged in a new process of development based on the creation of new knowledge. Amidst the globalization of economic activities and the arrival of transformative technologies, knowledge has become the key driver of competitiveness and is profoundly reshaping the patterns of economic growth and activity. This book offers a comprehensive new model of the rise of a Knowledge Economy and its evolutionary development in the Megalopolis. These regions are developing new institutions and governance mechanisms to adapt, disseminate, and utilize available knowledge to promote continuing development of their Knowledge Economies. However, such developments are accompanied by increasing inequalities in incomes and in urban services. This book examines the resilience of some urban regions and their recent emergence as vibrant Knowledge Economies. It also reviews the recent renewal and growth in the Megalopolis-- stretching along the Atlantic Seaboard along the metropolitan areas of Boston, New York, Philadelphia, Baltimore and Washington DC. This book will appeal to researchers and professionals interested in urban and regional development, and to business groups interested in economic development.
Knowledge Economy, Information Technologies and Growth
by Luigi PaganettoThis volume focuses on the Information and Communication (ICT) revolution and its impact on economic growth. Even though the emergence of the knowledge economy is at the center of attention by media and is often a subject of economic policy debate, economic research on the issue is still relatively underdeveloped and many aspects of it are still awaiting proper theoretical and empirical scrutiny. One important question is whether, as many economists and opinion leaders maintain the knowledge economy and the new information technologies have fostered the birth of a 'new economy' which by inducing a strong productivity growth in most sectors, is behind the impressive growth of GDP experienced by the US economy. Empirical research has in fact been unable to provide a conclusive answer to this question. This book debates this issue and provides the opportunity to discuss the economic and social effects of the ICT revolution. It also focuses on the functioning and the micro-economic structure of the ICT sector, as well as on its impact on various industries, on the financial system and on the labor market. It analyses the role of the ICT revolution on regional development and it addresses important policy issues such as its consequences for antitrust legislation and government regulation.
Knowledge Engineering and Management
by Zhenkun Wen Tianrui Li"Knowledge Engineering and Management" presents selected papers from the 2013 International Conference on Intelligent Systems and Knowledge Engineering (ISKE2013). The aim of this conference is to bring together experts from different expertise areas to discuss the state-of-the-art in Intelligent Systems and Knowledge Engineering, and to present new research results and perspectives on future development. The topics in this volume include, but not limited to: Knowledge Representation and Modeling, Knowledge Maintenance, Knowledge Elicitation, Knowledge-Based Systems (KBS), Content Management and Knowledge Management Systems, Ontology Engineering, Data Mining and Knowledge Discovery, Knowledge Acquisition, etc. The proceedings are benefit for both researchers and practitioners who want to utilize knowledge engineering methods in their specific research fields. Dr. Zhenkun Wen is a Professor at the College of Computer and Software Engineering, Shenzhen University, China. Dr. Tianrui Li is a Professor at the School of Information Science and Technology, Southwest Jiaotong University, Xi'an, China.
Knowledge Engineering Tools and Techniques for AI Planning
by Mauro Vallati Diane KitchinThis book presents a comprehensive review for Knowledge Engineering tools and techniques that can be used in Artificial Intelligence Planning and Scheduling. KE tools can be used to aid in the acquisition of knowledge and in the construction of domain models, which this book will illustrate. AI planning engines require a domain model which captures knowledge about how a particular domain works - e.g. the objects it contains and the available actions that can be used. However, encoding a planning domain model is not a straightforward task - a domain expert may be needed for their insight into the domain but this information must then be encoded in a suitable representation language. The development of such domain models is both time-consuming and error-prone. Due to these challenges, researchers have developed a number of automated tools and techniques to aid in the capture and representation of knowledge.This book targets researchers and professionals working in knowledge engineering, artificial intelligence and software engineering. Advanced-level students studying AI will also be interested in this book.
The Knowledge Evolution: Building Organizational Intelligence
by Verna AlleeThe Knowledge Evolution offers a unique and powerful road map for understanding knowledge creation, learning, and performance in everyday work. This book reframes current thinking by delving into the hidden world of knowledge supporting both individual and organizational performance, laying the foundation for the emerging art of knowledge management. Packed with best practices from leading edge companies, essential guidelines, design principles, analogies, and conceptual frameworks, it serves as a practical guidebook for mastering the Knowledge Era. It will help managers make more intelligent decisions about knowledge creation, reduce wasteful technology investments and lead to new ease and confidence in applying knowledge and learning principles for themselves and for their organizations. Verna Allee delves into current thinking and practice to unravel the genetic code of knowledge itself. This revolutionary approach has surfaced a simple and elegant knowledge archetype. She demonstrates how this archetype can help us deal with complexity and suggests ways of self-organizing that make profound sense in today's networked enterprises. From strategies for core knowledge competencies to the key components of individual expertise, The Knowledge Evolution zeroes in on the critical success factors for the knowledge-based enterprise. What emerges is an approach to knowledge management that is simple enough to communicate at every level of the organization, yet rich enough to encompass all the complexity of modern enterprises.Verna Allee is the founder of Integral Performance Group, a consulting practice in California that specializes in the learning organization, knowledge competencies, organizational systems change, systems thinking, total quality and learning, benchmarking support, best practices research, and strategic development. She holds a degree in the Study of Human Consciousness and her work is informed by a deep interest in intelligence, human development, cognition, intuition and consciousness. She is the author of Learning Links: Enhancing Individual and Team Performance, Pfeiffer and Co-Jossey Bass, 1996.
Knowledge Flows in European Industry (Routledge Studies in Business Organizations and Networks #Vol. 35)
by Yannis Caloghirou Anastasia Constantelou Nicholas S. VonortasThe channels and mechanisms of knowledge flows define the links that make up production and innovation systems. As such, they relate directly or indirectly to all policies that affect such systems. Knowledge flows are also directly related to intellectual property protection policies and competition policies that create the infrastructure supporting various forms of formal interaction among economic agents in production and innovation systems. Knowledge Flows in European Industry presents the results of an extensive research programme funded by the European Commission to empirically appraise the dissemination of knowledge relevant to the innovative activities of European manufacturing and service sectors. It explores the extent, density, and mechanism of innovation-related knowledge flows affecting the innovative capacity of European industry and the mechanisms that support such flows, as well as examining incentives to access and transmit results and the determinants of knowledge transmission. Featuring contributions from leading international scholars including Anthony Arundel and Bent Dalum, this interdisciplinary volume focuses on questions of interest to regional, national, and pan-European science, technology and innovation policy, and will be an important read for those involved in business and management as well as those in the field of economics.
Knowledge Flows, Technological Change and Regional Growth in the European Union
by Małgorzata Runiewicz-WardynThe book provides conceptual and empirical insights into the complex relationship between knowledge flows and regional growth in the EU. The author critically scrutinizes and enhances the RIS (Regional Innovation System) approach, discussing innovation as a technological, institutional and evolutionary process. Moreover, she advances the ongoing discourse on the role of space and technological proximity in the process of innovation and technological externalities. The book closes with an investigation of the role of technological change and knowledge spillovers in the dynamic growth and "catching-up" of EU regions.
The Knowledge for Sale: The Neoliberal Takeover of Higher Education
by Lawrence BuschA new philosophy of higher education has taken hold in institutions around the world. Its supporters disavow the pursuit of knowledge for its own sake and argue that the only knowledge worth pursuing is that with more or less immediate market value. Every other kind of learning is downgraded, its budget cut. In Knowledge for Sale, Lawrence Busch challenges this market-driven approach.The rationale for the current thinking, Busch explains, comes from neoliberal economics, which calls for reorganizing society around the needs of the market. The market-influenced changes to higher education include shifting the cost of education from the state to the individual, turning education from a public good to a private good subject to consumer demand; redefining higher education as a search for the highest-paying job; and turning scholarly research into a competition based on metrics including number of citations and value of grants. Students, administrators, and scholars have begun to think of themselves as economic actors rather than seekers of knowledge.Arguing for active resistance to this takeover, Busch urges us to burst the neoliberal bubble, to imagine a future not dictated by the market, a future in which there is a more educated citizenry and in which the old dichotomies -- market and state, nature and culture, and equality and liberty -- break down. In this future, universities value learning and not training, scholarship grapples with society's most pressing problems rather than quick fixes for corporate interests, and democracy is enriched by its educated and engaged citizens.
Knowledge for Sale: The Neoliberal Takeover of Higher Education (Infrastructures)
by Lawrence BuschHow free-market fundamentalists have shifted the focus of higher education to competition, metrics, consumer demand, and return on investment, and why we should change this.A new philosophy of higher education has taken hold in institutions around the world. Its supporters disavow the pursuit of knowledge for its own sake and argue that the only knowledge worth pursuing is that with more or less immediate market value. Every other kind of learning is downgraded, its budget cut. In Knowledge for Sale, Lawrence Busch challenges this market-driven approach.The rationale for the current thinking, Busch explains, comes from neoliberal economics, which calls for reorganizing society around the needs of the market. The market-influenced changes to higher education include shifting the cost of education from the state to the individual, turning education from a public good to a private good subject to consumer demand; redefining higher education as a search for the highest-paying job; and turning scholarly research into a competition based on metrics including number of citations and value of grants. Students, administrators, and scholars have begun to think of themselves as economic actors rather than seekers of knowledge.Arguing for active resistance to this takeover, Busch urges us to burst the neoliberal bubble, to imagine a future not dictated by the market, a future in which there is a more educated citizenry and in which the old dichotomies—market and state, nature and culture, and equality and liberty—break down. In this future, universities value learning and not training, scholarship grapples with society's most pressing problems rather than quick fixes for corporate interests, and democracy is enriched by its educated and engaged citizens.
The Knowledge Funnel: How Discovery Takes Shape--How Design Thinking Produces Innovation, Efficiency, and Long-Term Competitive Advantage
by Roger L. MartinThere are two schools of thought when it comes to value creation. One holds that the path to value creation lies in driving out the old-fashioned practice of gut instincts and replacing it with strategy based on rigorous, quantitative analysis. The other favors creativity and innovation. To the proponents of this philosophy, the creative instinct, unfettered by analytical thinking, is held up as the source of true innovation. But according to author Roger Martin, the most successful businesses in the years to come will balance analytical mastery and intuitive originality in a dynamic interplay called "design thinking." In this chapter, Martin describes how embracing design-thinking principles and adopting the model of the knowledge funnel creates advances in both innovation and efficiency--a combination that produces the most powerful long-term competitive edge. This chapter was originally published as Chapter 1 of "The Design of Business: Why Design Thinking Is the Next Competitive Advantage."
Knowledge Generation and Protection
by Jorge Mario Martínez-PivaThe wealth of the most developed nations, and, to a large extent their economic growth, can be explained by the capacities to generate research, create knowledge, appropriate it and transform it into new technologies. The study of the dynamics and contemporary mechanisms for the circulation, access, and commercial application of knowledge is an urgent task, since the capabilities related to technological change appear increasingly to be the path for developing countries to move away from their condition on the periphery. Knowledge Generation and Protection, showcasing research from academics, policymakers, and consultants, offers an analysis of three fundamental topics. The first is whether strengthening protection of intellectual property encourages or hinders technological learning and innovation in the developing countries. The second addresses the way in which knowledge is generated and how it is transformed into useful technology for the market, that is, how national innovation systems work. The third is the role of public policy as an instrument for innovation and for regulating intellectual property. Chapters explore the relationships among intellectual property, innovation, economic development, and policy in depth, with particular attention to such emerging topics as the impact of trade agreements on intellectual property rights and sensitive issues for developing countries such as access to medicines, and protection of biological diversity, living organisms, and traditional knowledge. Several chapters focus on Mexico, which serves as an important example as the only developing nation that is a member of OECD and has a rich history of industrial policy, science and technology policy, and trade openness. The concluding chapter argues that if developing countries seek to develop dynamic competitiveness based on knowledge and innovation in the present context of rigorous intellectual property regulations, they should take a leap in their science and technology policies to take advantage of the growing world market and open up long-term development paths.
Knowledge Graphs and Big Data Processing (Lecture Notes in Computer Science #12072)
by Valentina Janev Damien Graux Hajira Jabeen Emanuel SallingerThis open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.
Knowledge, Groupware and the Internet
by David SmithKnowledge, Groupware, and the Internet details the convergence of modern knowledge management theory and emerging computer technologies, and discusses how they collectively enable business change and enhance an organization's ability to create and share knowledge. This compendium of authoritative articles explains the relationship between knowledge management and two major technologies enabling it: Groupware and the Internet. These critical technologies help an organization evolve from individual to group knowledge, quickly make tacit knowledge explicit, and enable people to use and apply this knowledge. Knowledge, Groupware and the Internet helps readers understand how to unite the people and technologies that define effective knowledge management.
Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
by Anuj Karpatne Ramakrishnan Kannan Vipin KumarGiven their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios. As a result, there is a growing interest in the scientific community on creating a new generation of methods that integrate scientific knowledge in ML frameworks. This emerging field, called scientific knowledge-guided ML (KGML), seeks a distinct departure from existing "data-only" or "scientific knowledge-only" methods to use knowledge and data at an equal footing. Indeed, KGML involves diverse scientific and ML communities, where researchers and practitioners from various backgrounds and application domains are continually adding richness to the problem formulations and research methods in this emerging field. Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data provides an introduction to this rapidly growing field by discussing some of the common themes of research in KGML using illustrative examples, case studies, and reviews from diverse application domains and research communities as book chapters by leading researchers. KEY FEATURES First-of-its-kind book in an emerging area of research that is gaining widespread attention in the scientific and data science fields Accessible to a broad audience in data science and scientific and engineering fields Provides a coherent organizational structure to the problem formulations and research methods in the emerging field of KGML using illustrative examples from diverse application domains Contains chapters by leading researchers, which illustrate the cutting-edge research trends, opportunities, and challenges in KGML research from multiple perspectives Enables cross-pollination of KGML problem formulations and research methods across disciplines Highlights critical gaps that require further investigation by the broader community of researchers and practitioners to realize the full potential of KGML
Knowledge Horizons
by Daniele Chauvel Charles DespresKnowledge Horizons charts the feasible future for knowledge management. This practical and provocative resource presents the work of many of the leading voices in knowledge management and related disciplines, who explore the current trends and offer pragmatic and authoritative thinking on applied knowledge management from a variety of positions. Knowledge management is the new frontier for businesses, organizations, and institutions of all kinds. For those that hope to conquer this new territory, establishing a better understanding of current and future knowledge management trends and adoption of the most effective practices is imperitive. There are numerous options for executives: intranets, extranets, groupware, and core competencies are continually being refined. New entitites and rules in terms of intellectual capital and the "Chief Knowledge Officer" are emerging. Knowledge Horizons addresses these issues by exploring current and future knowledge management trends, gauging the future value of knowledge management investments, and how they will drive new business initiatives, and integrates the experience and insights of managers and cutting-edge research from experts in the field.
The Knowledge Illusion: Why We Never Think Alone
by Philip Fernbach Steven Sloman“The Knowledge Illusion is filled with insights on how we should deal with our individual ignorance and collective wisdom.” —Steven PinkerWe all think we know more than we actually do. Humans have built hugely complex societies and technologies, but most of us don’t even know how a pen or a toilet works. How have we achieved so much despite understanding so little? Cognitive scientists Steven Sloman and Philip Fernbach argue that we survive and thrive despite our mental shortcomings because we live in a rich community of knowledge. The key to our intelligence lies in the people and things around us. We’re constantly drawing on information and expertise stored outside our heads: in our bodies, our environment, our possessions, and the community with which we interact—and usually we don’t even realize we’re doing it. The human mind is both brilliant and pathetic. We have mastered fire, created democratic institutions, stood on the moon, and sequenced our genome. And yet each of us is error prone, sometimes irrational, and often ignorant. The fundamentally communal nature of intelligence and knowledge explains why we often assume we know more than we really do, why political opinions and false beliefs are so hard to change, and why individually oriented approaches to education and management frequently fail. But our collaborative minds also enable us to do amazing things. This book contends that true genius can be found in the ways we create intelligence using the world around us.
Knowledge in Organisations (Knowledge Reader Ser.)
by Laurence PrusakFirst Published in 1997. Routledge is an imprint of Taylor & Francis, an informa company.
Knowledge in Risk Assessment and Management
by Terje Aven Enrico ZioExciting new developments in risk assessment and management Risk assessment and management is fundamentally founded on the knowledge available on the system or process under consideration. While this may be self-evident to the laymen, thought leaders within the risk community have come to recognize and emphasize the need to explicitly incorporate knowledge (K) in a systematic, rigorous, and transparent framework for describing and modeling risk. Featuring contributions by an international team of researchers and respected practitioners in the field, this book explores the latest developments in the ongoing effort to use risk assessment as a means for characterizing knowledge and/or lack of knowledge about a system or process of interest. By offering a fresh perspective on risk assessment and management, the book represents a significant contribution to the development of a sturdier foundation for the practice of risk assessment and for risk-informed decision making. How should K be described and evaluated in risk assessment? How can it be reflected and taken into account in formulating risk management strategies? With the help of numerous case studies and real-world examples, this book answers these and other critical questions at the heart of modern risk assessment, while identifying many practical challenges associated with this explicit framework. This book, written by international scholars and leaders in the field, and edited to make coverage both conceptually advanced and highly accessible: Offers a systematic, rigorous and transparent perspective and framework on risk assessment and management, explicitly strengthening the links between knowledge and risk Clearly and concisely introduces the key risk concepts at the foundation of risk assessment and management Features numerous cases and real-world examples, many of which focused on various engineering applications across an array of industries Knowledge of Risk Assessment and Management is a must-read for risk assessment and management professionals, as well as graduate students, researchers and educators in the field. It is also of interest to policy makers and business people who are eager to gain a better understanding of the foundations and boundaries of risk assessment, and how its outcomes should be used for decision-making.
Knowledge in Servitization Management: A Comparative View
by H. M. Belal Olatunde Amoo Durowoju Kunio Shirahada Michitaka KosakaThe last two decades have seen a shift towards service-based value in a process referred to as servitization. Manufacturers have been challenged to create relevant knowledge and adapt to this change. This book has two key purposes. First of all, the authors examine the theoretical underpinnings of knowledge management and servitization, before proposing a conceptual model for knowledge co-creation and organizational knowledge management processes. Then, the model is tested through a series of case studies from Japan and Malaysia, providing insight into experiences of business transformation from produce-centric to service-centric in developed and developing Asian economies. This book will be of interest to academics, students and practitioners in servitization, knowledge creation and knowledge management, especially those interested in Asian economies.
Knowledge, Information and Creativity Support Systems
by Susumu Kunifuji George Angelos Papadopoulos Andrzej M. J. Skulimowski Janusz KacprzykThisvolume consists of a number of selected papers thatwere presented at the 9th International Conference on Knowledge, Informationand Creativity Support Systems (KICSS 2014) in Limassol, Cyprus, after theywere substantially revised and extended. The 26 regularpapers and 19 short papers included in this proceedings cover all aspects ofknowledge management, knowledge engineering, intelligent information systems,and creativity in an information technology context, including computationalcreativity and its cognitive and collaborative aspects.