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Knowledge, Class, and Economics: Marxism without Guarantees (Economics as Social Theory)
by Theodore A. Burczak Robert F. Garnett Jr. Richard McIntyreKnowledge, Class, and Economics: Marxism without Guarantees surveys the "Amherst School" of non-determinist Marxist political economy, 40 years on: its core concepts, intellectual origins, diverse pathways, and enduring tensions. The volume’s 30 original essays reflect the range of perspectives and projects that comprise the Amherst School—the interdisciplinary community of scholars that has enriched and extended, while never ceasing to interrogate and recast, the anti-economistic Marxism first formulated in the mid-1970s by Stephen Resnick, Richard Wolff, and their economics Ph.D. students at the University of Massachusetts-Amherst. The title captures the defining ideas of the Amherst School: an open-system framework that presupposes the complexity and contingency of social-historical events and the parallel "overdetermination" of the relationship between subjects and objects of inquiry, along with a novel conception of class as a process of performing, appropriating, and distributing surplus labor. In a collection of 30 original essays, chapters confront readers with the core concepts of overdetermination and class in the context of economic theory, postcolonial theory, cultural studies, continental philosophy, economic geography, economic anthropology, psychoanalysis, and literary theory/studies. Though Resnick and Wolff’s writings serve as a focal point for this collection, their works are ultimately decentered—contested, historicized, reformulated. The topics explored will be of interest to proponents and critics of the post-structuralist/postmodern turn in Marxian theory and to students of economics as social theory across the disciplines (economics, geography, postcolonial studies, cultural studies, anthropology, sociology, political theory, philosophy, and literary studies, among others).
Knowledge Cohesion: Uniting Europe Through Research Networks (Routledge Studies in the European Economy)
by İbrahim Semih Akçomak Umut Yılmaz Çetinkaya Erkan Erdil Müge ÖzmanResearch collaboration plays a pivotal role in not only disseminating existing knowledge but also catalyzing the generation of novel insights. This book delves into the benefits that arise from research collaborations, shedding light on their multifaceted impacts. It serves as a pioneering exploration into the nexus of collaboration, knowledge convergence, and knowledge cohesion, drawing extensively from the rich literature on the EU's cohesion policy and collaboration-induced knowledge diffusion.Firstly, Knowledge Cohesion: Uniting Europe Through Research Networks unravels the nuanced interplay among collaboration, knowledge convergence, and knowledge cohesion. Secondly, it carves out clear distinctions between the realms of convergence and cohesion. Lastly, it unveils an empirical framework, offering tools for quantifying and analysing knowledge cohesion. These contributions culminate in the conceptualisation of knowledge cohesion, enriching our understanding of how collaborative research profoundly impacts the advancement of knowledge. The empirical analyses show that while the research collaboration network indicates knowledge convergence, there is no evidence for knowledge cohesion in Europe.This book stands as a resource for scholars, policymakers, and practitioners alike, inviting them to explore the nuanced interplay of research collaboration and knowledge dynamics, while presenting knowledge cohesion as a new concept.
Knowledge Communication in Global Organisations: Making Sense of Virtual Teams (Routledge Studies in Management, Organizations and Society)
by Nils Braad PetersenWhile organisations become more and more global, they also become more and more dispersed and virtual. This challenges the sense of a shared organisational identity and the ability of employees to communicate personally held knowledge. To address these challenges this book offers an innovative multidisciplinary approach to knowledge communication in global organisations. The book develops a multidisciplinary analytical lens through which to understand employee identity formations and knowledge communication practises. Using detailed analyses of interviews from a real organisation, the book builds an understanding of how 21st century employees make sense of a virtual organisational reality characterised by multiple simultaneous projects and virtual, dispersed teams. These analyses are conducted using a new discourse analysis method for analysing research interviews, Discursive Sensemaking Analysis. Using these methods and findings, researchers, project managers and HR professionals will be able to analyse their own organisations to discover how employees make sense of the complexity of 21st century global organisations.
Knowledge Construction Methodology: Fusing Systems Thinking and Knowledge Management (Translational Systems Sciences #20)
by Yoshiteru NakamoriThis book demonstrates that innovative ideas are systematically constructed in the creative space spanned by the dimensions of systems thinking and knowledge management. Readers will be introduced to this proposition in the final chapter, after learning about the key innovation theories, design thinking, systems thinking, and idea creation methods in systems science and knowledge science. The content provided throughout the book supports knowledge creation in various fields, the management of research and business projects, and the creation of promotion stories for products and services. Practitioners who are seeking to create innovative ideas can systematically learn the minimum theories and methods required, while graduate students will be equipped to link their research to innovation by learning the essence of systems science and knowledge science and considering selected issues. Lastly, the book includes suggestions for future research directions in knowledge science.
The Knowledge-Creating Company (Harvard Business Review Classics)
by Ikujiro NonakaIn 'The Knowledge-Creating Company', Ikujiro Nonaka shows ow your company can exploit its knowledge to continually innovate and reinvent itself in the face of relentless change.
Knowledge-creating Milieus in Europe
by Augusto Cusinato Andreas Philippopoulos-MihalopoulosThis book introduces a radically spatialised approach to knowledge creation and innovation. Reflecting on an array of European urban and regional developments, it offers an updated notion of milieu as the conceptual and material space of knowledge and innovation in line with the interpretative turn in social sciences and humanities. In view of the unwillingness of mainstream economics to accommodate such a trend, the authors pursue a broadly understood hermeneutic approach that expands on the triad of knowledge-space-innovation. The book's main findings are that space is an essential intermediary in the connection between knowledge and innovation, and that a renewed notion of milieu provides the knowledge-space-innovation triad with both an analytical basis and operational power. It also offers fresh insights into the significance and potential of the knowledge economy. A number of empirical European case studies on various scales (organisations, cities and territories) support the findings and suggest new policy directions.
Knowledge Discovery from Data Streams (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
by Joao GamaSince the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms. Exploring how to extract knowledge structures from evolving and time-changing data, Knowledge Discovery from Data Streams presents
Knowledge Discovery from Sensor Data
by Auroop R. Ganguly JoÎo Gama Olufemi A. Omitaomu Mohamed Medhat Gaber Ranga Raju VatsavaiAs sensors become ubiquitous, a set of broad requirements is beginning to emerge across high-priority applications including disaster preparedness and management, adaptability to climate change, national or homeland security, and the management of critical infrastructures. This book presents innovative solutions in offline data mining and real-time
Knowledge Discovery in Spatial Data
by Yee LeungThis book deals with knowledge discovery and data mining in spatial and temporal data, seeking to present novel methods that can be employed to discover spatial structures and processes in complex data. Spatial knowledge discovery is examined through the tasks of clustering, classification, association/relationship, and process. Among the covered topics are discovery of spatial structures as natural clusters, identification of separation surfaces and extraction of classification rules from statistical and algorithmic perspectives, detecting local and global aspects of non-stationarity of spatial associations and relationships, unraveling scaling behaviors of time series data, including self-similarity and long range dependence. Particular emphasis is placed on the treatment of scale, noise, imperfection and mixture distribution. Numerical examples and a wide scope of applications are used throughout the book to substantiate the conceptual and theoretical arguments.
Knowledge Discovery, Knowledge Engineering and Knowledge Management
by Ana Fred Jan L.G. Dietz David Aveiro Kecheng Liu Joaquim FilipeThis book constitutes the thoroughly refereed proceedings of the 6th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2014, held in Rome, Italy, in October 2015. The 37 full papers presented were carefully reviewed and selected from 287 submissions. The papers are organized in topical sections on knowledge discovery and information retrieval; knowledge engineering and ontology development; knowledge management and information sharing.
Knowledge Discovery, Knowledge Engineering and Knowledge Management
by Ana Fred Jan L.G. Dietz Kecheng Liu Joaquim FilipeThis book constitutes the thoroughly refereed proceedings of the 5th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2013, held in Vilamoura, Portugal, in September 2013. The 27 full papers presented together with two invited papers were carefully reviewed and selected from 239 submissions. The papers are organized in topical sections on knowledge discovery and information retrieval; knowledge engineering and ontology development; knowledge management and information sharing.
Knowledge Discovery Process and Methods to Enhance Organizational Performance
by Kweku-Muata Osei-Bryson Corlane BarclayAlthough the terms "data mining" and "knowledge discovery and data mining" (KDDM) are sometimes used interchangeably, data mining is actually just one step in the KDDM process. Data mining is the process of extracting useful information from data, while KDDM is the coordinated process of understanding the business and mining the data in order to identify previously unknown patterns.Knowledge Discovery Process and Methods to Enhance Organizational Performance explains the knowledge discovery and data mining (KDDM) process in a manner that makes it easy for readers to implement. Sharing the insights of international KDDM experts, it details powerful strategies, models, and techniques for managing the full cycle of knowledge discovery projects. The book supplies a process-centric view of how to implement successful data mining projects through the use of the KDDM process. It discusses the implications of data mining including security, privacy, ethical and legal considerations. Provides an introduction to KDDM, including the various models adopted in academia and industry Details critical success factors for KDDM projects as well as the impact of poor quality data or inaccessibility to data on KDDM projects Proposes the use of hybrid approaches that couple data mining with other analytic techniques (e.g., data envelopment analysis, cluster analysis, and neural networks) to derive greater value and utility Demonstrates the applicability of the KDDM process beyond analytics Shares experiences of implementing and applying various stages of the KDDM process in organizations The book includes case study examples of KDDM applications in business and government. After reading this book, you will understand the critical success factors required to develop robust data mining objectives that are in alignment with your organization’s strategic business objectives.
Knowledge-Driven Entrepreneurship
by Piero Formica Martin G. Curley Thomas AnderssonThe current economic era, characterized by the rapid and global dissemination of information and capital, has been called the "knowledge age," the "entrepreneurial society," and the "intangibles economy," among other labels. Technological and productivity improvements continue to shift the emphasis from the mastery of physical assets (e.g., natural resources, factories) and physical tools (e.g., machines) to that of intangible assets (e.g., education, R&D projects, brands, patents) and socio-cultural tools (e.g., communities of knowledge practice) as the key to a community's economic prosperity. The purpose of this book is to build a bridge between knowledge and entrepreneurship, which have traditionally been separated by the walls of academic disciplines. Building on the pioneering work of Peter Drucker and William Baumol, the authors explore the intricate relationships among knowledge generation, innovation, new business creation, and the institutions that support them. Demonstrating direct links between the flow and application of knowledge, innovations in products and processes, the development of new enterprises, and generation of economic wealth, the authors strongly argue that these assets must be protected and sustained through national and regional institutions that encourage creativity and experimentation. Employing illustrative examples from around the world, the authors focus on the crucial role of societies to educate and support entrepreneurs and establish the right environment for new business development and rapid conversion of ideas into enterprises that contribute to economic growth and prosperity.
Knowledge-Driven Governance: The Role of Experts and Scholars in Combating Desertification and Other Dilemmas of Collective Action
by Lihua YangThis book explores a new model for addressing the central issue of environmental and other collective actions. An alternative to the classical models: central authority, privatization, and self-governance, it has provisionally been named “expert and scholar-based-” or “knowledge-driven governance”. The book also identifies seven working rules (or design principles) for successful knowledge-driven governance, and argues that the more strictly these rules are abided by, the more successful this model of governance becomes. Lastly, it demonstrates that in addition to Lindblom’s observed intellectually guided society and preference-guided/volition-guided society, there may be the possibility of a knowledge-driven society in which knowledge or intellect plays a greater role. The results obtained are supplemented by numerical calculations, presented as tables and figures. This book is intended for graduate students, lecturers and researchers working in environmental management, environmental science and engineering, sustainable development, collective action, and public administration.
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.