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With the transformation from an industrial to an information-based society, corporations are required more than ever to utilize all their employees' knowledge to keep up with market demands. Therefore, personal informal networks and communities are becoming the major information resource in addition to the classical handbooks and document management systems containing highly structured information objects. Many technically sophisticated systems for document and content management have been designed to assist knowledge workers in exchanging information and expertise, but in most cases they fail to meet expectations. This book presents one possible solution to assist network organizers in designing informal knowledge networks by introducing a model and a software toolset to improve decision support. The model, based on findings from computational organization theory and social network analysis, extends the existing explanatory research, and allows for developing appropriate strategies of community engineering and anticipating the potential impacts on organizational performance before taking action.
Praise for the First Edition of Virtual Teams "If you want to see where organizational communications are going in the future, heed what these pioneers have written today." —Howard Rheingold, author, The Virtual Community, and founder, Electric Mind "Lipnack and Stamps have written an important book for the twenty-first-century corporation." —Regis McKenna, The McKenna Group, author, Relationship Marketing "This book provides a long overdue perspective on how to apply the discipline of real teams in the fast-moving, increasingly dispersed information age of the future." —Jon R. Katzenbach, author, The Wisdom of Teams "For those who want to lead the movement, catch up with it, or simply know where it is going, this book is packed with useful information and interesting stories." —Dee W. Hock, founder and chairman emeritus, VISA "Virtual Teams provides valuable insights into global teamwork and management through network technologies now available to all companies, large or small." —Jim Lynch, director, corporate quality, Sun Microsystems, Inc.
Knowledge Networking explains the strategic, organizational and human impact of technologies that support knowledge: the internet, groupware, collaborative technologies. It shows how they can transform organizational practices and help to improve both individual and team performances. Based on proven experience and includes customised toolkits, cases and action plans. From pooling expertise on a sales bid via computer referencing, to improving customer service using the flexible office, the author demonstrates how potential can become practice. Knowledge management is the big management idea currently influencing organizations, and Knowledge Networking explores the global impact of sharing knowledge and expertise. It is a highly practical text which includes customised toolkits, cases and action plans to enable individuals and teams to improve their performance.
Total quality management (TQM), reengineering, the workplace of the twenty-first centuryâ€"the 1990s have brought a sense of urgency to organizations to change or face stagnation and decline, according to Enhancing Organizational Performance. Organizations are adopting popular management techniques, some scientific, some faddish, often without introducing them properly or adequately measuring the outcome. Enhancing Organizational Performance reviews the most popular current approaches to organizational changeâ€"total quality management, reengineering, and downsizingâ€"in terms of how they affect organizations and people, how performance improvements can be measured, and what questions remain to be answered by researchers. The committee explores how theory, doctrine, accepted wisdom, and personal experience have all served as sources for organization design. Alternative organization structures such as teams, specialist networks, associations, and virtual organizations are examined. Enhancing Organizational Performance looks at the influence of the organization's norms, values, and beliefsâ€"its cultureâ€"on people and their performance, identifying cultural "levers" available to organization leaders. And what is leadership? The committee sorts through a wealth of research to identify behaviors and skills related to leadership effectiveness. The volume examines techniques for developing these skills and suggests new competencies that will become required with globalization and other trends. Mergers, networks, alliances, coalitionsâ€"organizations are increasingly turning to new intra- and inter-organizational structures. Enhancing Organizational Performance discusses how organizations cooperate to maximize outcomes. The committee explores the changing missions of the U.S. Army as a case study that has relevance to any organization. Noting that a musical greeting card contains more computing power than existed in the entire world before 1950, the committee addresses the impact of new technologies on performance. With examples, insights, and practical criteria, Enhancing Organizational Performance clarifies the nature of organizations and the prospects for performance improvement. This book will be important to corporate leaders, executives, and managers; faculty and students in organizational performance and the social sciences; business journalists; researchers; and interested individuals.
Recently, Tiny Machine Learning (TinyML) has gained incredible importance due to its capabilities of creating lightweight machine learning (ML) frameworks aiming at low latency, lower energy consumption, lower bandwidth requirement, improved data security and privacy, and other performance necessities. As billions of battery-operated embedded IoT and low power wide area networks (LPWAN) nodes with very low on-board memory and computational capabilities are getting connected to the Internet each year, there is a critical need to have a special computational framework like TinyML. TinyML for Edge Intelligence in IoT and LPWAN Networks presents the evolution, developments, and advances in TinyML as applied to IoT and LPWANs. It starts by providing the foundations of IoT/LPWANs, low power embedded systems and hardware, the role of artificial intelligence and machine learning in communication networks in general and cloud/edge intelligence. It then presents the concepts, methods, algorithms and tools of TinyML. Practical applications of the use of TinyML are given from health and industrial fields which provide practical guidance on the design of applications and the selection of appropriate technologies. TinyML for Edge Intelligence in IoT and LPWAN Networks is highly suitable for academic researchers and professional system engineers, architects, designers, testers, deployment engineers seeking to design ultra-lower power and time-critical applications. It would also help in designing the networks for emerging and future applications for resource-constrained nodes. - This book provides one-stop solutions for emerging TinyML for IoT and LPWAN applications. - The principles and methods of TinyML are explained, with a focus on how it can be used for IoT, LPWANs, and 5G applications. - Applications from the healthcare and industrial sectors are presented. - Guidance on the design of applications and the selection of appropriate technologies is provided.
"The book provides researchers and developers of online collaborative systems with approaches for effective and efficient means that would assist e-learning students and teachers with precise and relevant information regarding the ongoing online learning activity at both individual and group levels"--Provided by publisher.
M. C. Roco and W.S. Bainbridge In the early decades of the 21st century, concentrated efforts can unify science based on the unity of nature, thereby advancing the combination of nanotechnology, biotechnology, information technology, and new technologies based in cognitive science. With proper attention to ethical issues and societal needs, converging in human abilities, societal technologies could achieve a tremendous improvement outcomes, the nation's productivity, and the quality of life. This is a broad, cross cutting, emerging and timely opportunity of interest to individuals, society and humanity in the long term. The phrase "convergent technologies" refers to the synergistic combination of four major "NBIC" (nano-bio-info-cogno) provinces of science and technology, each of which is currently progressing at a rapid rate: (a) nanoscience and nanotechnology; (b) biotechnology and biomedicine, including genetic engineering; (c) information technology, including advanced computing and communications; (d) cognitive science, including cognitive neuroscience. Timely and Broad Opportunity. Convergence of diverse technologies is based on material unity at the nanoscale and on technology integration from that scale.
"This book is a manual for the novice-Human Computer Interaction (HCI) designer. It compares and contrasts online business training programs with e-Learning in the higher education sector and provides a range of positive outcomes for linking information management techniques, which exploit the educational benefits of Web-mediated learning in computer supported collaborative learning"--Provided by publisher.
This book constitutes the refereed post-conference proceedings of the Third EAI International Conference on Data and Information in Online Environments, DIONE 2022, held as virtual event, in July 28-29, 2022. Due to COVID-19 pandemic the conference was held virtually. DIONE 2022 aims to bring together academicians and practitioners willing to discuss topics around the intersection of Computer Science, Information Science, and Communication Science. The attractiveness of the scope and topics has brought relevant research results. This proceeding consists of chapters covering deep learning, data management, software design, social networks, natural language processing, and data processing in various contexts like scholarly publishing, health and medicine, higher education, innovation and research, energy and transportation, and organizations. The 18 full papers and 2 short papers were carefully reviewed and selected from 56 submissions. The papers are grouped in thematic sessions as follows: Informational challenges for the study of Science, Technology and Society relationships; and Advances in Artificial Intelligence for data processing and analysis in online social environments.