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Innovation and Development of Knowledge Societies : Artificial Intelligence and Knowledge-Based Socioeconomic Growth
This book examines the role that intellectual property plays in fostering innovation within knowledge societies, with a particular focus on the role of emerging technologies such as Artificial Intelligence tools. Creativity and the generation of new knowledge across the broad spectrum of intellectual property are essential sources of growth for knowledge societies.This includes the major areas of copyright, inventions and patents, trademarks and geographical indications.This book acknowledges the societal and cultural character of knowledge societies, discussing how Intellectual Property (IP) Law plays a pivotal role in safeguarding innovation, thereby fostering evolution.As emerging technologies and artificial intelligence redefine the landscape, the book identifies both new challenges and opportunities in enhancing innovation prowess and nurturing knowledge societies.Suggesting regulations which prioritise copyright, trademarks and patents as fundamental instruments in international commerce, the book presents a framework for IP Law through which knowledge societies can thrive. The book will appeal to researchers in the field of Intellectual Property Law, international law, business law and emerging technologies such as AI.
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Knowledge Guided Machine Learning : Accelerating Discovery using Scientific Knowledge and Data
Given 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
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Knowledge Management Systems Design : Innovation and Strategy
Knowledge Capital, vital for organizations' sustainability, competitiveness, and stability, can be regenerated in a value-added manner, enabling the development of high-quality products and services through innovative Knowledge Management (KM) techniques.One effective approach is establishing and implementing ISO-compliant Knowledge Management Systems (KMS) across various sectors. Covering nearly all aspects of Knowledge Management, this book offers a comprehensive overview of the evolution and description of core theories, along with their applications in a few case studies that thoroughly analyze the necessary procedures and technologies for developing KMS.The book encompasses the latest trends showcasing the increasing integration of artificial intelligence techniques within KM practices, as discernible through scores of service providers.Additionally, it addresses the challenges of measuring the effectiveness of KM techniques and the value they bring to organizations, thereby supporting the successful and sustainable implementation of KM.It also highlights innovative frameworks such as the Virtuous KM Cycle, MASK techniques, the Daisy Model, and the Husain-Ermine AI-KM Model. The publication is an essential resource for students and researchers specializing in Knowledge Management, as well as for managers, academicians, and practitioners in both the public and private sectors.
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Museums and Interactive Virtual Learning
Museums and Interactive Virtual Learning provides informal educators with practical resources that will help them to build dynamic digital engagement experiences within their own cultural organizations. Presenting vignettes from experienced museum educators and end users, as well as scientific data and practical resources, the book highlights the mutual benefits that Interactive Virtual Learning (IVL) programs offer to the museum and those visiting from a distance.Chapters mirror the step-by-step process of developing reputable IVL programs and emphasize how important it is for cultural organizations to encourage cross-departmental collaboration, if they wish to ensure that their programs align with the overall goals of the organization.Providing a thorough overview of the technologies, budget, marketing and staff requirements, the authors offer a realistic depiction of the work involved in building content for digital engagement.Emphasizing the importance of assessing existing programming, the book shows how institutions can adapt content to fit a virtual format and create inclusive digital engagement opportunities that reach local, national, and international audiences. Museums and Interactive Virtual Learning is an essential guide for professionals who are tasked with interpreting the content of a cultural organization and building lasting digital engagement opportunities.It will be particularly useful to those looking to reach diverse audiences.
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The Role of Knowledge Transfer in Open Innovation
The ways in which codified and tacit knowledge are sourced, transferred, and combined are critical in furthering open innovation.When used effectively, knowledge sharing and organizational success are significantly increased, improving products and services.The Role of Knowledge Transfer in Open Innovation is a collection of innovative research on a set of analyses, reflections, and recommendations within the framework of knowledge transfer practices in different areas of knowledge and in various industries.While highlighting topics including tacit knowledge, organizational culture, and knowledge representation, this book is ideally designed for professionals, academicians, and researchers seeking current research on the best practices for transfer of knowledge as an intermediate open innovation.
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The Politics of Knowledge in Inclusive Development and Innovation
This book develops an integrated perspective on the practices and politics of making knowledge work in inclusive development and innovation.While debates about development and innovation commonly appeal to the authority of academic researchers, many current approaches emphasise the plurality of actors with relevant expertise for addressing livelihood challenges.Adopting an action-oriented and reflexive approach, this volume explores the variety of ways in which knowledge works, paying particular attention to dilemmas and controversies.The six parts of the book address the complex interplay of knowledge and politics, starting with the need for knowledge integration in the first part and decolonial perspectives on the politics of knowledge integration in the second part.The following three parts focus on the practices of inclusive development and innovation through three major themes of learning for transformative change, evidence, and digitisation.The final part of the book addresses the governance of knowledge and innovation in the light of political struggles about inclusivity.Exploring conceptual and practical themes through case studies from the Global North and South, this book will be of great interest to students, scholars, and practitioners researching and working in development studies, epistemology, innovation studies, science and technology studies, and sustainability studies more broadly.
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Knowledge Management : Value Creation Through Organizational Learning
This textbook on knowledge management draws on the authors’ more than twenty years of research, teaching and consulting experience.The first edition of this book brought together European, Asian and American perspectives on knowledge-based value creation; this second edition features substantial updates to all chapters, reflecting the implications of the digital transformation on knowledge work and knowledge management.It also addresses three new topics: the impact of knowledge management practices on performance; knowledge management in the public sector; and an introduction to ISO 9001:2015 as an implementation framework. The book is intended not only for academic education but also as an essential guide for managers, consultants, trainers, coaches, and all those engaged in business, public administration or non-profit work who are interested in learning about organizations in a knowledge economy.Given its wealth of case studies, examples, questions, exercises and easy-to-use knowledge management tools, it offers a true compendium for learning about and implementing knowledge management initiatives.
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Lean Innovation : A Fast Path from Knowledge to Value
Within manufacturing, Lean has lead to significant results throughout the world.But what happens when Lean meets Innovation? Is the needed creativity destroyed, or can Lean make the results of the organization even better?In Lean Innovation, Claus Sehested and Henrik Sonnenberg reveal how amanaged iteration between creativity and effectiveness can ensure that the visions of top management are realized through the innovation processes.Lean can elevate the innovation processes to a new level where they become a true strategic differentiator. The authors address the key challenges facing leaders of knowledgeorganizations, and present a number of principles which they can use to bring more leadership into the innovation work.They also discuss methods which can increase result focus and continuous learning in the core innovation processes. The book contains specific and practical examples from five companies who started on a Lean Innovation journey.Innovation Insights from Apple, Google, Toyota, IDEO and others are also included.
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