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Author: Gyamfi, Albert
Publisher: IGI Global
ISBN: 1522575200
Category : Computers
Languages : en
Pages : 336
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Book Description
Knowledge in its pure state is tacit in nature—difficult to formalize and communicate—but can be converted into codified form and shared through both social interactions and the use of IT-based applications and systems. Even though there seems to be considerable synergies between the resulting huge data and the convertible knowledge, there is still a debate on how the increasing amount of data captured by corporations could improve decision making and foster innovation through effective knowledge-sharing practices. Big Data and Knowledge Sharing in Virtual Organizations provides innovative insights into the influence of big data analytics and artificial intelligence and the tools, methods, and techniques for knowledge-sharing processes in virtual organizations. The content within this publication examines cloud computing, machine learning, and knowledge sharing. It is designed for government officials and organizations, policymakers, academicians, researchers, technology developers, and students.
Author: Gyamfi, Albert
Publisher: IGI Global
ISBN: 1522575200
Category : Computers
Languages : en
Pages : 336
Get Book Here
Book Description
Knowledge in its pure state is tacit in nature—difficult to formalize and communicate—but can be converted into codified form and shared through both social interactions and the use of IT-based applications and systems. Even though there seems to be considerable synergies between the resulting huge data and the convertible knowledge, there is still a debate on how the increasing amount of data captured by corporations could improve decision making and foster innovation through effective knowledge-sharing practices. Big Data and Knowledge Sharing in Virtual Organizations provides innovative insights into the influence of big data analytics and artificial intelligence and the tools, methods, and techniques for knowledge-sharing processes in virtual organizations. The content within this publication examines cloud computing, machine learning, and knowledge sharing. It is designed for government officials and organizations, policymakers, academicians, researchers, technology developers, and students.
Author: Alexander Gray
Publisher: Springer
ISBN: 354070504X
Category : Computers
Languages : en
Pages : 303
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Book Description
Since 1981, the British National Conferences on Databases (BNCOD) have p- vided a forum for database researchers to report the latest progress and explore new ideas. Over the last 28 years, BNCOD has evolved from a predominantly national conference into one that is truly international, attracting research c- tributions from all over the world. This volume contains the proceedings of BNCOD 2008. We received 45 s- missions from 22 countries. Each paper was reviewed by three referees, and 14 full papers and 7 posters were accepted. All the research papers and posters are included in this volume, and they are organized into ?ve sections: data mining and privacy, data integration, stream and event data processing, query proce- ing and optimization, and posters. The keynote was delivered by Monica Marinucci, EMEA Programme Dir- tor for Oracle in R&D. She has been involved in various advanced developments concerning Oracle, and participated in EC-funded projects as an expert, es- cially the CHALLENGERS special support action to propose the future of grid computing. In her keynote presentation,she addressedthe audience on the topic of the power of data, emphasizing that the ability to store, handle, manipulate, distribute and replicate data and information can provide a tremendous asset to organizations. She also explored some of the latest directions and developments in the database ?eld, and described how Oracle contributes to them partnering up with other leading organizations in di?erent sectors.
Author: M.H. Huysman
Publisher: Springer Science & Business Media
ISBN: 9401599920
Category : Computers
Languages : en
Pages : 220
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Book Description
In this volume organizational learning theory is used to analyse various practices of managing and facilitating knowledge sharing within companies. Experiences with three types of knowledge sharing, namely knowledge acquisition, knowledge reuse, and knowledge creation, at ten large companies are discussed and analyzed. This critical analysis leads to the identification of traps and obstacles when managing knowledge sharing, when supporting knowledge sharing with IT tools, and when organizations try to learn from knowledge sharing practices. The identification of these risks is followed by a discussion of how organizations can avoid them. This work will be of interest to researchers and practitioners working in organization science and business administration. Also, consultants and organizations at large will find the book useful as it will provide them with insights into how other organizations manage and facilitate knowledge sharing and how potential failures can be prevented.
Author: OECD
Publisher: OECD Publishing
ISBN: 9264660658
Category :
Languages : en
Pages : 138
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Book Description
This report examines the opportunities of enhancing access to and sharing of data (EASD) in the context of the growing importance of artificial intelligence and the Internet of Things. It discusses how EASD can maximise the social and economic value of data re-use and how the related risks and challenges can be addressed. It highlights the trade-offs, complementarities and possible unintended consequences of policy action – and inaction. It also provides examples of EASD approaches and policy initiatives in OECD countries and partner economies.
Author: Christoph Kelp
Publisher: Cambridge University Press
ISBN: 1316517136
Category : Philosophy
Languages : en
Pages : 219
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Book Description
This book develops a novel account of assertion in terms of its function of sharing knowledge.
Author: Gyamfi, Albert
Publisher: IGI Global
ISBN: 1799867943
Category : Business & Economics
Languages : en
Pages : 275
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Book Description
Knowledge management has always been about the process of creating, sharing, using, and applying knowledge within and between organizations. Before the advent of information systems, knowledge management processes were manual or offline. However, the emergence and eventual evolution of information systems created the possibility for the gradual but slow automation of knowledge management processes. These digital technologies enable data capture, data storage, data mining, data analytics, and data visualization. The value provided by such technologies is enhanced and distributed to organizations as well as customers using the digital technologies that enable interconnectivity. Today, the fine line between the technologies enabling the technology-driven external pressures and data-driven internal organizational pressures is blurred. Therefore, how technologies are combined to facilitate knowledge management processes is becoming less standardized. This results in the question of how the current advancement in digital technologies affects knowledge management processes both within and outside organizations. Digital Technology Advancements in Knowledge Management addresses how various new and emerging digital technologies can support knowledge management processes within organizations or outside organizations. Case studies and practical tips based on research on the emerging possibilities for knowledge management using these technologies is discussed within the chapters of this book. It both builds on the available literature in the field of knowledge management while providing for further research opportunities in this dynamic field. This book highlights topics such as human-robot interaction, big data analytics, software development, keyword extraction, and artificial intelligence and is ideal for technology developers, academics, researchers, managers, practitioners, stakeholders, and students who are interested in the adoption and implementation of new digital technologies for knowledge creation, sharing, aggregation, and storage.
Author: Elena-Mădălina Vătămănescu
Publisher: Springer
ISBN: 3319668900
Category : Business & Economics
Languages : en
Pages : 290
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Book Description
This volume explores the challenge of engaging knowledge management in a sharing economy. In a hyper-competitive business environment, everything tends to be digital, virtual and highly networked, which raises the issue of how knowledge management can support the decision whether or not to share strategic resources or capabilities. The book answers questions such as: to what extent does the sharing economy preserve or compromise the competitive advantage of organizations? And what are the knowledge-management strategies for competitive, yet cautious sharing dynamics?
Author: National Academy of Engineering
Publisher: National Academies Press
ISBN: 0309062438
Category : Technology & Engineering
Languages : en
Pages : 239
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Book Description
Information technology is a powerful tool for meeting environmental objectives and promoting sustainable development. This collection of papers by leaders in industry, government, and academia explores how information technology can improve environmental performance by individual firms, collaborations among firms, and collaborations among firms, government agencies, and academia. Information systems can also be used by nonprofit organizations and the government to inform the public about broad environmental issues and environmental conditions in their neighborhoods. Several papers address the challenges to information management posed by the explosive increase in information and knowledge about environmental issues and potential solutions, including determining what information is environmentally relevant and how it can be used in decision making. In addition, case studies are described and show how industry is using information systems to ensure sustainable development and meet environmental standards. The book also includes examples from the public sector showing how governments use information knowledge systems to disseminate "best practices" beyond big firms to small businesses, and from the world of the Internet showing how knowledge is shared among environmental advocates and the general public.
Author: Mark S. Ackerman
Publisher: MIT Press
ISBN: 9780262011952
Category : Business & Economics
Languages : en
Pages : 452
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Book Description
The field of knowledge management focuses on how organizations can most effectively store, manage, retrieve, and enlarge their intellectual properties. The repository view of knowledge management emphasizes the gathering, providing, and filtering of explicit knowledge. The information in a repository has the advantage of being easily transferable and reusable. But it is not easy to use decontextualized information, and users often need access to human experts. This book describes a more recent approach to knowledge management, which the authors call "expertise sharing." Expertise sharing emphasizes the human aspects -- cognitive, social, cultural, and organizational -- of knowledge management, in addition to information storage and retrieval. Rather than focusing on the management level of an organization, expertise sharing focuses on the self-organized activities of the organization's members. The book addresses the concerns of both researchers and practitioners, describing current literature and research as well as offering information on implementing systems. It consists of three parts: an introduction to knowledge sharing in large organizations; empirical studies of expertise sharing in different types of settings; and detailed descriptions of computer systems that can route queries, assemble people and work, and augment naturally occurring social networks within organizations.
Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309316324
Category : Medical
Languages : en
Pages : 236
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Book Description
Data sharing can accelerate new discoveries by avoiding duplicative trials, stimulating new ideas for research, and enabling the maximal scientific knowledge and benefits to be gained from the efforts of clinical trial participants and investigators. At the same time, sharing clinical trial data presents risks, burdens, and challenges. These include the need to protect the privacy and honor the consent of clinical trial participants; safeguard the legitimate economic interests of sponsors; and guard against invalid secondary analyses, which could undermine trust in clinical trials or otherwise harm public health. Sharing Clinical Trial Data presents activities and strategies for the responsible sharing of clinical trial data. With the goal of increasing scientific knowledge to lead to better therapies for patients, this book identifies guiding principles and makes recommendations to maximize the benefits and minimize risks. This report offers guidance on the types of clinical trial data available at different points in the process, the points in the process at which each type of data should be shared, methods for sharing data, what groups should have access to data, and future knowledge and infrastructure needs. Responsible sharing of clinical trial data will allow other investigators to replicate published findings and carry out additional analyses, strengthen the evidence base for regulatory and clinical decisions, and increase the scientific knowledge gained from investments by the funders of clinical trials. The recommendations of Sharing Clinical Trial Data will be useful both now and well into the future as improved sharing of data leads to a stronger evidence base for treatment. This book will be of interest to stakeholders across the spectrum of research-from funders, to researchers, to journals, to physicians, and ultimately, to patients.
