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This book opens up a new route to the study of knowledge dynamics and the sociology of knowledge. The focus is on the role of metaphors as powerful catalysts, and the book dissects their role in the construction of theories of knowledge. It is of vital interest to social and cognitive scientists alike.
The study focuses on three major case studies: the spread of Darwin's phrase "struggle for existence" in the popularizing literature in turn of the century Germany; the reception of Thomas Kuhn's "Structure of Scientific Revolution" and its identification with the term "paradigm" in the sciences and humanities; and the diffusion of the concept of "chaos" from scientific to everyday discourses.
This book argues that by integrating effective knowledge management (KM) with project management (PM), the overall project success rate can be improved significantly. It brings together the latest ideas and research on shared approaches to improve performance based on the research and experience of academics and practitioners. The structured collection of articles presents novel theoretical approaches and clear empirical evidence of the value of integrating the two distinct fields. It enables readers to better understand the need to merge KM with PM and appreciate the benefits. It also offers researchers an idea of what lies ahead and how to get there, and helps practitioners develop more suitable KM solutions for successful project outcomes.
Promoting organizational knowledge is an important consideration for any business looking toward the future. Understanding the dynamics of knowledge-intensive organizations is a crucial first step in establishing a strong knowledge base for any organization. Organizational Knowledge Dynamics: Managing Knowledge Creation, Acquisition, Sharing, and Transformation introduces the idea that organizational knowledge is composed of three knowledge fields: cognitive knowledge, emotional knowledge, and spiritual knowledge. This book is useful for graduate students, researchers, and practitioners in knowledge management, intellectual capital, human resources management, change management, and strategic management.
This series will include monographs and collections of studies devoted to the investigation and exploration of knowledge, information, and data processing systems of all kinds, no matter whether human, (other) animal, or machine. Its scope is intended to span the full range of interests from classical problems in the philosophy of mind and philosophical psychol ogy through issues in cognitive psychology and sociobiology (concerning the mental capabilities of other species) to ideas related to artificial intelligence and computer science. While primary emphasis will be placed upon theoretical, conceptual, and epistemological aspects of these problems and domains, empirical, experimental, and methodological studies will also appear from time to time. The problems posed by metaphor and analogy are among the most challenging that confront the field of knowledge representation. In this study, Eileen Way has drawn upon the combined resources of philosophy, psychology, and computer science in developing a systematic and illuminating theoretical framework for understanding metaphors and analogies. While her work provides solutions to difficult problems of knowledge representation, it goes much further by investigating some of the most important philosophical assumptions that prevail within artificial intelligence today. By exposing the limitations inherent in the assumption that languages are both literal and truth-functional, she has advanced our grasp of the nature of language itself. J.R.F.
This volume brings together contributions that resemble spotlights thrown on the past twenty-five years of science and technology studies. It covers a broad range: history of science; science and politics; science and contemporary democracy; science and the public; science and the constitution; science and metaphors; and science and modernity and provides a critical overview of how the field of science and technology studies has emerged and developed.
In order to achieve its full value, knowledge must flow and be continuously used. Knowledge use, reuse, and repurposing has been a challenge discussed in knowledge sciences literature for over three decades. The authors investigate and offer solutions to two key challenges - how to preserve and curate knowledge.
This open access book addresses three themes which have been central to Leydesdorff's research: (1) the dynamics of science, technology, and innovation; (2) the scientometric operationalization of these concept; and (3) the elaboration in terms of a Triple Helix of university-industry-government relations. In this study, I discuss the relations among these themes. Using Luhmann's social-systems theory for modelling meaning processing and Shannon's theory for information processing, I show that synergy can add new options to an innovation system as redundancy. The capacity to develop new options is more important for innovation than past performance. Entertaining a model of possible future states makes a knowledge-based system increasingly anticipatory. The trade-off between the incursion of future states on the historical developments can be measured using the Triple-Helix synergy indicator. This is shown, for example, for the Italian national and regional systems of innovation.
Metaphor and Knowledge offers a sweeping history of rhetoric and metaphor in science, delving into questions about how language constitutes knowledge. Weaving together insights from a group of scientists at the Santa Fe Institute as they shape the new interdisciplinary field of complexity science, Ken Baake shows the difficulty of writing science when word meanings are unsettled, and he analyzes the power of metaphor in science.