Search results for ""author jay liebowitz""

Book SynopsisRegulating Hate Speech Created by Generative AI explores the new hybrid space of Human Machine Interaction (HMI) in which hate speech is represented and computed through algorithms and AI generative systems. The book is exploratory because there are still many problem-solving challenges to be faced. It is also innovative because it is not assuming that solutions lie only in technological advancements but on a broader scale. In this sense, large language models can and are being considered from a holistic view (i.e., from the different dimensions and layers of regulatory and legal governance). Highlights of the book include: Generative AI and social engines of hate An introduction to generative Artificial Intelligence application, trends, and ethics The mechanics and validation of generative AI outcomes An evaluation of Generative AI for hate speech detection Best practices and key considerations for AI regulation Using GenAI

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Book SynopsisElgar Research Agendas outline the future of research in a given area. Leading scholars are given the space to explore their subject in provocative ways, and map out the potential directions of travel. They are relevant but also visionary.Leveraging the knowledge gained from knowledge management and from the growing fields of Analytics and Artificial Intelligence (AI), this Research Agenda highlights the research gaps, issues, applications, challenges and opportunities related to Knowledge Management (KM).Exploring synergies between KM and emerging technologies, leading international scholars and practitioners examine KM from a multidisciplinary perspective, demonstrating the ways in which knowledge sharing worldwide can be enhanced in order to better society and improve organisational performance. Chapters investigate KM as it applies to business, library and information science, enterprise-wide strategies, innovation, privacy and data, measurement, Analytics, and AI, before summarising the lessons learned and best practices for future research.A Research Agenda for Knowledge Management and Analytics will be a key resource for students, academics and practitioners working in the fields of KM and Analytics, helping the academics of the future to build on existing successes and identify ways to further develop the field.Trade Review'Knowledge management and analytics originate from different viewpoints. One focuses on people and organizations knowing (or not knowing); the other on people and organizations doing (or hoping to do). As there is little point in knowing without doing, let alone doing without knowing, the potential for synergy is tremendous. This book identifies the variety of directions in which analytics might be integrated into knowledge management to give an even more powerful approach for coping with the challenges of uncertain times.' -- -- John S. Edwards, Aston University, UK and Founding Editor in Chief, Knowledge Management Research and Practice JournalTable of ContentsContents: Foreword by Jim Lee xv Preface xvii Introduction to A Research Agenda for Knowledge Management and Analytics xix 1 Knowledge management: library and information science writ large 1 Qiping Zhang and Michael E. D. Koenig 2 Knowledge management placement in organizations 19 Ramin Assa 3 Knowledge management: enterprise-wide strategies 31 Joanna Paliszkiewicz 4 Knowledge management from a technology perspective 43 Vincent Ribiere, Cheng Gong and Kaiyu Yang 5 Knowledge management and artificial intelligence analytics: a bibliometric study of research trends 67 Francisco J. Cantu-Ortiz 6 Knowledge management and measurement 89 Anthony J. Rhem 7 Knowledge management and innovation: issues, gaps, applications and opportunities 107 Vida Skudienė 8 Serendipitous encounters to support innovations via knowledge visualizations 121 Simon Li and Eric Tsui 9 Decisions, advice and explanation: an overview and research agenda 149 Jan Vanthienen 10 KM, analytics, and AI: a winning combination to survive the post-truth world 171 Kimiz Dalkir 11 Privacy and data: some research venues 191 Kenneth Carling and Johan Håkansson 12 Lessons learned and best practices in KM: a personal perspective 205 Douglas Weidner Index 225

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Book SynopsisSharing knowledge is power. If ever there were a field to which this applies, it is the knowledge management industry. And in today''s highly-competitive, fast-paced business world, corporations, businesses and organizations in both the public and private sectors are constantly searching for new cutting-edge methods and techniques for creating, storing, capturing, managing, organizing, distributing, combining, and retrieving knowledge. But the task of accomplishing such functions is not as simple as it sounds. Jay Liebowitz''s Building Organizational Intelligence: A Knowledge Management Primer gives executives, managers, systems analysts, and other knowledge-management professionals the competitive edge they need in achieving that task. In a concise and easy-to-read format, the book describes the concepts, techniques, methodologies, and tools associated with those functions, and includes mini-case studies and vignettes of how industry is developing and applying these functions towardsTrade Review"Written in simple, matter-of-fact language that puts the entire KM movement in an action-oriented context."-Carol H. Tucker "…As the sub-title says, this is a knowledge primer, written for those who don't have a lot of time to dwell on elaborate explanations, but could use enough guidance to organize their efforts."- Insite ReviewsTable of ContentsWhat is Organizational Intelligence? Creating Knowledge. Capturing and Storing Knowledge. Transforming Individual Learning Into Organizational Learning. Combining, Transferring, and Distributing Knowledge. Building A Continuous Learning Culture. Culture: The Key Ingredient. Developing A Knowledge Management CapabilityAssessing Knowledge Management Through A Knowledge Audit. Augmenting Organizational Intelligence. Role and Skills for Knowledge Management-Questionnaire. Appendix A: The Intelligent Agent-Based Knowledge Management System for Supporting Multimedia Systems Design on The Web. Appendices

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Book SynopsisElgar Research Agendas outline the future of research in a given area. Leading scholars are given the space to explore their subject in provocative ways, and map out the potential directions of travel. They are relevant but also visionary.Leveraging the knowledge gained from knowledge management and from the growing fields of Analytics and Artificial Intelligence (AI), this Research Agenda highlights the research gaps, issues, applications, challenges and opportunities related to Knowledge Management (KM).Exploring synergies between KM and emerging technologies, leading international scholars and practitioners examine KM from a multidisciplinary perspective, demonstrating the ways in which knowledge sharing worldwide can be enhanced in order to better society and improve organisational performance. Chapters investigate KM as it applies to business, library and information science, enterprise-wide strategies, innovation, privacy and data, measurement, Analytics, and AI, before summarising the lessons learned and best practices for future research.A Research Agenda for Knowledge Management and Analytics will be a key resource for students, academics and practitioners working in the fields of KM and Analytics, helping the academics of the future to build on existing successes and identify ways to further develop the field.Trade Review'Knowledge management and analytics originate from different viewpoints. One focuses on people and organizations knowing (or not knowing); the other on people and organizations doing (or hoping to do). As there is little point in knowing without doing, let alone doing without knowing, the potential for synergy is tremendous. This book identifies the variety of directions in which analytics might be integrated into knowledge management to give an even more powerful approach for coping with the challenges of uncertain times.' -- -- John S. Edwards, Aston University, UK and Founding Editor in Chief, Knowledge Management Research and Practice JournalTable of ContentsContents: Foreword by Jim Lee xv Preface xvii Introduction to A Research Agenda for Knowledge Management and Analytics xix 1 Knowledge management: library and information science writ large 1 Qiping Zhang and Michael E. D. Koenig 2 Knowledge management placement in organizations 19 Ramin Assa 3 Knowledge management: enterprise-wide strategies 31 Joanna Paliszkiewicz 4 Knowledge management from a technology perspective 43 Vincent Ribiere, Cheng Gong and Kaiyu Yang 5 Knowledge management and artificial intelligence analytics: a bibliometric study of research trends 67 Francisco J. Cantu-Ortiz 6 Knowledge management and measurement 89 Anthony J. Rhem 7 Knowledge management and innovation: issues, gaps, applications and opportunities 107 Vida Skudienė 8 Serendipitous encounters to support innovations via knowledge visualizations 121 Simon Li and Eric Tsui 9 Decisions, advice and explanation: an overview and research agenda 149 Jan Vanthienen 10 KM, analytics, and AI: a winning combination to survive the post-truth world 171 Kimiz Dalkir 11 Privacy and data: some research venues 191 Kenneth Carling and Johan Håkansson 12 Lessons learned and best practices in KM: a personal perspective 205 Douglas Weidner Index 225

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Book SynopsisIn order to make informed decisions, there are three important elements: intuition, trust, and analytics. Intuition is based on experiential learning and recent research has shown that those who rely on their gut feelings may do better than those who don't. Analytics, however, are important in a data-driven environment to also inform decision making. The third element, trust, is critical for knowledge sharing to take place. These three elementsintuition, analytics, and trustmake a perfect combination for decision making. This book gathers leading researchers who explore the role of these three elements in the process of decision-making.Table of ContentsIntuition. The Underpinnings of Intuition. How Intuition Affects Decision Making. Data, Insights, Models, and Decisions. The Missing Link—Experiential Learning. Cases of Intuition Outperforming Analytics. Trust. The Foundation of Trust. Trust and Organizational Leadership. Trust and Knowledge Sharing. Trust and Organizational Communication. Trust and Marketing. Trust and Social Media. Analytics. The Secret Sauce. Predictive Analytics. Prescriptive Analytics. Developing an Analytics Strategy. Looking Toward the Future with Cognitive Computing and AI.

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