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Knowledge Management and Acquisition for Intelligent Systems: 15th Pacific Rim Knowledge Acquisition Workshop, Pkaw 2018, Nanjing, China, August 27-28, 2018, Proceedings (Lecture Notes in Computer Science #11016)
by Kenichi Yoshida Maria LeeThis book constitutes the proceedings of the 15th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2018, held in Nanjing, China, in August 2018. The 15 full papers and 7 short papers included in this volume were carefully reviewed and selected from 51 initial submissions. They cover the methods and tools as well as the applications related to developing a knowledge base, healthcare, financial systems, and intelligent systems.
Knowledge Management and AI in Society 5.0 (Routledge Focus on Business and Management)
by Manlio Del Giudice Veronica Scuotto Armando PapaSociety 5.0 points toward a human-centred approach by the use of modern, advanced technologies and artificial intelligence. This book explores and offers an overview of knowledge management embraced in the current scenario of Society 5.0, shedding light on its importance in a society that is increasingly digital and interconnected. The book enhances current managerial and economic research by offering the “human” side of knowledge management (KM) intertwined with the use of artificial intelligences (AIs). Each chapter explores KM from different perspectives, including entrepreneurship, innovation, marketing, and strategy, in a theoretical and practical way. They include insights from both practitioners and scholars, enriched by practical tools that can be used during laboratories, workshops and tutorials. The book presents evidence on how to manage KM and develop new knowledge in different subjects, with the aim of overcoming conventional KM strategy and show how business and society are connected with “power of subjective human knowledge creation”. Offering both new insights, research and practical guidance, this book will appeal to academics and students of knowledge management as well as digital transformation practitioners looking for ways to transition their organizations from knowledge economy to digital economy.
Knowledge Management and E-Learning
by Jay Liebowitz Michael S. FrankThe rapidly growing demand for online courses and supporting technology has resulted in a plethora of structural and functional changes and challenges for universities and colleges. These changes have led many distance education providers to recognize the value of understanding the fundamental concepts of both e-learning and knowledge management (K
Knowledge Management and Engineering with Decisional DNA (Intelligent Systems Reference Library #183)
by Edward Szczerbicki Cesar SaninThis is the first book on experience-based knowledge representation and knowledge management using the unique Decisional DNA (DDNA) technology. The DDNA concept is roughly a decade old, and is rapidly attracting increasing attention and interest among researchers and practitioners. This comprehensive book provides guidelines to help readers develop experience-based tools and approaches for smart engineering of knowledge, data and information. It does not attempt to offer ultimate answers, but instead presents ideas and a number of real-world case studies to explore and exemplify the complexities and challenges of modern knowledge engineering issues. It also increases readers’ awareness of the multifaceted interdisciplinary character of such issues to enable them to consider – in different ways – developing, evaluating, and supporting smart knowledge engineering systems that use DDNA technology based on experience.
Knowledge Management and Industry 4.0: New Paradigms for Value Creation (Knowledge Management and Organizational Learning #9)
by Eleonora Di Maria Marco Bettiol Stefano MicelliThe book discusses the opportunities and challenges of managing knowledge in the new reality of Industry 4.0. Addressing paradigmatic changes in value creation due to the development of digital technologies applied to manufacturing (additive manufacturing, IoT, robotics, etc.), it includes theoretical and empirical contributions on how Industry 4.0 technologies allow firms to create and exploit knowledge. The carefully selected expert contributions highlight the potential of these technologies in acquiring knowledge from a larger number of sources and examine approaches to innovation, organization of activities, and stakeholder development in the context of this next industrial revolution.
Knowledge Management and Organizational Learning
by William R. KingKnowledge management (KM) is a set of relatively-new organizational activities that are aimed at improving knowledge, knowledge-related practices, organizational behaviors and decisions and organizational performance. KM focuses on knowledge processes--knowledge creation, acquisition, refinement, storage, transfer, sharing and utilization. These processes support organizational processes involving innovation, individual learning, collective learning and collaborative decision-making. The "intermediate outcomes" of KM are improved organizational behaviors, decisions, products, services, processes and relationships that enable the organization to improve its overall performance. Knowledge Management and Organizational Learning presents some 20 papers organized into five sections covering basic concepts of knowledge management; knowledge management issues; knowledge management applications; measurement and evaluation of knowledge management and organizational learning; and organizational learning.
Knowledge Management, Arts, and Humanities: Interdisciplinary Approaches and the Benefits of Collaboration (Knowledge Management and Organizational Learning #7)
by Meliha Handzic Daniela CarlucciThis book presents a series of studies that demonstrate the value of interactions between knowledge management with the arts and humanities. The carefully compiled chapters show, on the one hand, how traditional methods from the arts and humanities – e.g. theatrical improvisation, clay modelling, theory of aesthetics – can be used to enhance knowledge creation and evolution. On the other, the chapters discuss knowledge management models and practices such as virtual knowledge space (BA) design, social networking and knowledge sharing, data mining and knowledge discovery tools. The book also demonstrates how these practices can yield valuable benefits in terms of organizing and analyzing big arts and humanities data in a digital environment.
Knowledge Management - A Blueprint for Delivery
by Tom Knight Trevor HowesWe are now in the 'third wave' of Knowledge Management - the first was focused on the potential of new technology, while the second focused on the nature of knowledge and how people 'know' and learn. The focus in the third phase is two-fold: building individual and team productivity, and proper alignment of Knowledge Management efforts in helping deliver on strategic goals of the organization.Knowledge Management- a Blueprint for Delivery explores and builds on current ideas about the dynamics of knowledge in organizations, answering such questions as: 'What is knowledge management?' and 'What does it mean for today's companies and organizations?' Written by two leading knowledge management practitioners, this book looks beyond academic theory and software company hype to focus on the roles that knowledge and information play in creating high-performance organizations. Built on their extensive experience of Knowledge Management programme design and delivery, Knowledge Management- a Blueprint for Delivery:contains a comprehensive survey of the whole area of Knowledge Management, from theory and strategy creation through to techniques, tools, and delivery of changeprovides an insight into developing and managing Knowledge Management initiativesbridges the gap between theoretical, strategic, and practical hands-on perspectives
Knowledge Management for Regional Policymaking
by Robert Laurini Peter Nijkamp Karima Kourtit Louafi BouzouinaThe present publication focusses the attention on new avenues in regional information and knowledge management, while we will zoom in particularly on the potential promises and hurdles of digital technology. This digital challenge has already generated a wealth of implications in the area of smart or intelligent cities, but as yet far less has been achieved in the field of regional planning and regional science. There is clearly a need for a more systematic and wide-ranging assessment and presentation of emerging approaches and concepts in this field, for instance, in regard to principles (e.g. geographic rule modeling), methodologies (e.g. blockchain systems), data analytics (e.g. machine learning) and data governance (e.g. data sovereignty) of regional information and knowledge. Especially in our ‘big data’ era, a systematic, comprehensible and reliable acquisition, storage, sharing and handling of data (e.g. on the basis of systematic decomposition and filtering principles) is more needed than ever before. The present study seeks to present a selection of state-of-the-art contributions on advanced – often digitally-oriented – regional information and knowledge management foundations, principles and practices written by several experts in the field of spatial informatics. These contributions were collected with a view to the design of a comprehensive knowledge and research agenda, which was discussed during a brainstorm workshop in Lyon, France (October 2021). This book covers various fields of interest, such as GeoAI, knowledge modelling, IoT and scalability, space syntax, rule extraction, data governance and data self-sovereignty. It is concluded with a knowledge and research agenda outlining future endeavors in the field of the spatial information sciences (or spatial informatics).
Knowledge Management Handbook: Collaboration and Social Networking, Second Edition
by Jay LiebowitzRecent research shows that collaboration and social networking foster knowledge sharing and innovation by sparking new connections, ideas, and practices. Yet these informal networks are often misunderstood and poorly managed. Building on the groundbreaking, bestselling first edition, Knowledge Management Handbook: Collaboration and Social Networkin
Knowledge Management in Digital Change: New Findings And Practical Cases (Progress in IS)
by Klaus North Ronald Maier Oliver HaasThis book features both cutting-edge contributions on managing knowledge in transformational contexts and a selection of real-world case studies. It analyzes how the disruptive power of digitization is becoming a major challenge for knowledge-based value creation worldwide, and subsequently examines the changes in how we manage information and knowledge, communicate, collaborate, learn and decide within and across organizations. The book highlights the opportunities provided by disruptive renewal, while also stressing the need for knowledge workers and organizations to transform governance, leadership and work organization. Emerging new business models and digitally enabled co-creation are presented as drivers that can help establish new ways of managing knowledge. In turn, a number of carefully selected and interpreted case studies provide a link to practice in organizations.
Knowledge Management in Healthcare
by Lorri ZippererKnowledge management goes beyond data and information capture in computerized health records and ordering systems; it seeks to leverage the experiences of all who interact in healthcare to enhance care delivery, teamwork, and organizational learning. Knowledge management - if envisioned thoughtfully - takes a systemic approach to implementation that includes the embodiment of a learning culture. Knowledge is then used to support that culture and the knowledge workers within it to encourage them to share what they know, thusly enabling their peers, their organizations and ultimately their patients to benefit from their experience to proactively dismantle hierarchy and encourage sharing about what works, and what doesn’t to focus efforts on improvement. Knowledge Management in Healthcare draws on relevant business, clinical and health administration literature plus the analysis of discussions with a variety of clinical, administrative, leadership, patient and information experts. The result is a book that will inform thinking on knowledge access needs to mitigate potential failures, design lasting improvements and support the sharing of what is known to enable work towards attaining high reliability. It can be used as a general tool for leaders and individuals wishing to devise and implement a knowledge-sharing culture in their institution, design innovative activities supporting transparency and communication to strengthen existing programs intended to enhance knowledge sharing behaviours and contribute to high quality, safe care.
Knowledge Management in Organisations: 17th International Conference, KMO 2023, Bangkok, Thailand, July 24–27, 2023, Proceedings (Communications in Computer and Information Science #1825)
by Lorna Uden I-Hsien TingThis book constitutes the refereed proceedings of the 17th International Conference on Knowledge Management in Organisations, KMO 2023, held in Bangkok, Thailand, during July 24–27, 2023.The 32 full papers included in this book were carefully reviewed and selected from 73 submissions. They were organized in topical sections as follows: Knowledge Transfer & Sharing, Knowledge in Business & Organisation, Digital Transformation and Innovation, Data Analysis and Science, KM and Education, Knowledge Management Process and Model, Information & Knowledge Systems, IT &New Trends in KM, Healthcare.
Knowledge Management in Organisations: 16th International Conference, KMO 2022, Hagen, Germany, July 11–14, 2022, Proceedings (Communications in Computer and Information Science #1593)
by Lorna Uden I-Hsien Ting Birgit FeldmannThis book contains the refereed proceedings of the 16th International Conference on Knowledge Management in Organizations, KMO 2022, held in Hagen, Germany, in July 2022. The 24 full papers and 5 short papers accepted for KMO 2022 were selected from 61 submissions and are organized in topical sections on: knowledge transfer and sharing; knowledge and organization; knowledge and service innovation; industry 4.0; information and knowledge systems; intelligent science; AI and new trends in KM.
Knowledge Management in Organizations: 12th International Conference, KMO 2017, Beijing, China, August 21-24, 2017, Proceedings (Communications in Computer and Information Science #731)
by Lorna Uden, Wei Lu and I-Hsien TingThis book contains the refereed proceedings of the 12th International Conference on Knowledge Management in Organizations, KMO 2017, held in Beijing, China, in August 2017. The theme of the conference was "Emerging Technology and Knowledge Management in Organizations." The 45 contributions accepted for KMO 2017 were selected from 112 submissions and are organized in topical sections on: Knowledge Management Models and Behaviour Studies; Knowledge Sharing; Knowledge Transfer and Learning; Knowledge and Service Innovation; Knowledge and Organization; Information Systems Research; Value Chain and Supply Chain; Knowledge Re-presentation and Reasoning; Data Mining and Intelligent Science; Big Data Management; Internet of Things and Network.
Knowledge Management in Organizations: 13th International Conference, KMO 2018, Žilina, Slovakia, August 6–10, 2018, Proceedings (Communications in Computer and Information Science #877)
by Lorna Uden Branislav Hadzima I-Hsien TingThis book contains the refereed proceedings of the 13th International Conference on Knowledge Management in Organizations, KMO 2018, held in Žilina, Slovakia, in August 2018. The theme of the conference was "Emerging Research for Knowledge Management in Organizations."The 59 papers accepted for KMO 2018 were selected from 141 submissions and are organized in topical sections on: Knowledge management models and analysis; knowledge sharing; knowledge transfer and learning; knowledge and service innovation; knowledge creation; knowledge and organization; information systems and information science; knowledge and technology management; data mining and intelligent science; business and customer relationship management; big data and IoT; and new trends in IT.
Knowledge Management in Organizations
by Lorna Uden Marjan Heričko I-Hsien TingThis book contains the refereed proceedings of the 10th International Conference on Knowledge Management in Organizations, KMO 2015, held in Maribor, Slovenia, in August 2015. The theme of the conference was "Knowledge Management and Internet of Things. " The KMO conference brings together researchers and developers from industry and academia to discuss how knowledge management using big data can improve innovation and competitiveness. The 59 contributions accepted for KMO 2015 were selected from 163 submissions and are organized in topical sections on: knowledge management processes, successful knowledge sharing and knowledge management practices, innovations for competitiveness, knowledge management platforms and tools, social networks and mining techniques, knowledge management and the Internet of Things, knowledge management in health care, and knowledge management in education and research.
Knowledge Management in Organizations
by Lorna Uden Darcy Fuenzaliza Oshee I-Hsien Ting Dario LiberonaThis book contains the refereed proceedings of the 9th International Conference on Knowledge Management in Organizations (KMO) held in Santiago, Chile, during September 2014. The theme of the conference is "Knowledge Management to Improve Innovation and Competitiveness through Big Data. " The KMO conference brings together researchers and developers from industry and academia to discuss and research how knowledge management using big data can improve innovation and competitiveness. The 39 contributions accepted for KMO 2014 were selected from 89 submissions and are organized in sections on: big data and knowledge management, knowledge management practice and case studies, information technology and knowledge management, knowledge management and social networks, knowledge management in organizations, and knowledge transfer, sharing and creation.
Knowledge Management in Organizations: 14th International Conference, KMO 2019, Zamora, Spain, July 15–18, 2019, Proceedings (Communications in Computer and Information Science #1027)
by Lorna Uden I-Hsien Ting Juan Manuel CorchadoThis book contains the refereed proceedings of the 14th International Conference on Knowledge Management in Organizations, KMO 2019, held in Zamora, Spain, in July 2019. The 46 papers accepted for KMO 2018 were selected from 109 submissions and are organized in topical sections on: knowledge management models and analysis; knowledge transfer and learning; knowledge and service innovation; knowledge creation; knowledge and organization; information systems and information science; data mining and intelligent science; social networks and social aspects of KM; big data and IoT; and new trends in IT.
Knowledge Management in Organizations: 15th International Conference, KMO 2021, Kaohsiung, Taiwan, July 20-22, 2021, Proceedings (Communications in Computer and Information Science #1438)
by Lorna Uden I-Hsien Ting Kai WangThis book contains the refereed proceedings of the 15th International Conference on Knowledge Management in Organizations, KMO 2021, held in Kaohsiung, Taiwan, in July 2021. The 28 full papers and 9 short papers accepted for KMO 2021 were selected from 86 submissions and are organized in topical sections on: knowledge management models and analysis; knowledge transfer and learning; knowledge and service innovation; knowledge and organization; information systems and information science; privacy and security; intelligent science and data mining; AI and new trends in IT.
Knowledge Management in Practice
by Anthony J. Rhem"This evidence-based book provides the framework and guidelines that professionals need for working with the contemporary explosion of data that is creating opportunities and challenges to all phases of our society and commerce." –Larry R. Medsker, Research Professor in Physics and Data Science, The George Washington University Knowledge Management in Practice is a resource on how knowledge management (KM) is implemented. It provides specific KM methods, tips, techniques, and best practices to gain competitive advantage and the most from investing in KM. It examines how KM is leveraged by first responders, the military, healthcare providers, insurance and financial services companies, legal firms, human resources departments, merger and acquisition (M&A) firms, and research institutions. Essential KM concepts are explored not only from a foundational perspective but also from a practical application. These concepts include capturing and codifying tacit and explicit knowledge, KM methods, information architecture, search, KM and social media, KM and Big Data, and the adoption of KM. Readers can visit the book’s companion website, KM Mentor (www.KMMentor.com), where they can access: Presentations by industry leaders on a variety of topics KM templates and instruction on executing KM strategy, performing knowledge transfer, and KM assessments and audits KM program and project implementation guidance Insights and reviews on KM tools Guidance on implementing and executing various KM Methods Specialized KM publications A private secure collaboration community for members to discuss ideas and get expert answers and advice
Knowledge Management in Public Health
by Jay Liebowitz Richard A. Schieber Joanne D. AndreadisClose collaboration across agencies and international borders is mandatory for public health officials. A powerful tool for sharing knowledge, knowledge management (KM) can help public health professionals quickly collaborate and disseminate knowledge for solving public health issues worldwide. The latest initiatives for reforming healthcare have put the spotlight on the need for maximizing resources. In addition to providing a platform for sharing knowledge, KM can help healthcare professionals do more with less. One tool, two problems solved. Yet the sharing of knowledge and KM continues to be a major challenge in the public health field. Knowledge Management in Public Health provides a general introduction to KM and social networking in the public health arena. The book begins with coverage of basic principles, components, and methodologies as well as trends and key issues in public health. It includes ten case studies illustrating applications of KM and social networking in public health. The chapters are written by leading individuals from organizations involved in applying KM in public health worldwide. The editors and chapter authors explore the many elements of KM, delineating how and why to start such an initiative. They provide specific examples of the development and value-added benefits of KM in a variety of public health environments. Tough or quick decision making has always benefitted enormously from knowledge based on the maximum amount of pertinent information available at the time—this has not changed. What is new in the present public health environment is the need to do this more often, with fewer personnel available, and increased expectations relative to the services expected by the public. Better use of information under a KM system is well suited to serve that purpose. This book explores the many ways to use KM to anticipate potential health issues and quickly resolve key incidents when they occur.
Knowledge Management in the Development of Data-Intensive Systems
by Ivan Mistrik Matthias Galster Bruce R. Maxim Bedir TekinerdoganData-intensive systems are software applications that process and generate Big Data. Data-intensive systems support the use of large amounts of data strategically and efficiently to provide intelligence. For example, examining industrial sensor data or business process data can enhance production, guide proactive improvements of development processes, or optimize supply chain systems. Designing data-intensive software systems is difficult because distribution of knowledge across stakeholders creates a symmetry of ignorance, because a shared vision of the future requires the development of new knowledge that extends and synthesizes existing knowledge. Knowledge Management in the Development of Data-Intensive Systems addresses new challenges arising from knowledge management in the development of data-intensive software systems. These challenges concern requirements, architectural design, detailed design, implementation and maintenance. The book covers the current state and future directions of knowledge management in development of data-intensive software systems. The book features both academic and industrial contributions which discuss the role software engineering can play for addressing challenges that confront developing, maintaining and evolving systems;data-intensive software systems of cloud and mobile services; and the scalability requirements they imply. The book features software engineering approaches that can efficiently deal with data-intensive systems as well as applications and use cases benefiting from data-intensive systems. Providing a comprehensive reference on the notion of data-intensive systems from a technical and non-technical perspective, the book focuses uniquely on software engineering and knowledge management in the design and maintenance of data-intensive systems. The book covers constructing, deploying, and maintaining high quality software products and software engineering in and for dynamic and flexible environments. This book provides a holistic guide for those who need to understand the impact of variability on all aspects of the software life cycle. It leverages practical experience and evidence to look ahead at the challenges faced by organizations in a fast-moving world with increasingly fast-changing customer requirements and expectations.
Knowledge Modelling and Big Data Analytics in Healthcare: Advances and Applications
by Mayuri Mehta Kalpdrum Passi Indranath Chatterjee Rajan PatelKnowledge Modelling and Big Data Analytics in Healthcare: Advances and Applications focuses on automated analytical techniques for healthcare applications used to extract knowledge from a vast amount of data. It brings together a variety of different aspects of the healthcare system and aids in the decision-making processes for healthcare professionals. The editors connect four contemporary areas of research rarely brought together in one book: artificial intelligence, big data analytics, knowledge modelling, and healthcare. They present state-of-the-art research from the healthcare sector, including research on medical imaging, healthcare analysis, and the applications of artificial intelligence in drug discovery. This book is intended for data scientists, academicians, and industry professionals in the healthcare sector.
Knowledge Needs and Information Extraction: Towards an Artificial Consciousness (Wiley-iste Ser.)
by Nicolas TurenneThis book presents a theory of consciousness which is unique and sustainable in nature, based on physiological and cognitive-linguistic principles controlled by a number of socio-psycho-economic factors. In order to anchor this theory, which draws upon various disciplines, the author presents a number of different theories, all of which have been abundantly studied by scientists from both a theoretical and experimental standpoint, including models of social organization, ego theories, theories of the motivational system in psychology, theories of the motivational system in neurosciences, language modeling and computational modeling of motivation. The theory presented in this book is based on the hypothesis that an individual’s main activities are developed by self-motivation, managed as an informational need. This is described in chapters covering self-motivation on a day-to-day basis, the notion of need, the hypothesis and control of cognitive self-motivation and a model of self-motivation which associates language and physiology. The subject of knowledge extraction is also covered, including the impact of self-motivation on written information, non-transversal and transversal text-mining techniques and the fields of interest of text mining. Contents: 1. Consciousness: an Ancient and Current Topic of Study. 2. Self-motivation on a Daily Basis. 3. The Notion of Need. 4. The Models of Social Organization. 5. Self Theories. 6. Theories of Motivation in Psychology. 7. Theories of Motivation in Neurosciences. 8. Language Modeling. 9. Computational Modeling of Motivation. 10. Hypothesis and Control of Cognitive Self-Motivation. 11. A Model of Self-Motivation which Associates Language and Physiology. 12. Impact of Self-Motivation on Written Information. 13. Non-Transversal Text Mining Techniques. 14. Transversal Text Mining Techniques. 15. Fields of Interest for Text Mining. About the Authors Nicolas Turenne is a researcher at INRA in the Science and Society team at the University of Paris-Est Marne la Vallée in France. He specializes in knowledge extraction from texts with theoretical research into relational and stochastic models. His research topics also concern the sociology of uses, food and environmental sciences, and bioinformatics.