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.
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Albert Gyamfi has a PhD in Knowledge Management from Aalborg University, Denmark. He is a consultant and an expert who has researched into media richness and web applications for knowledge management process and organisational learning. He is currently attached to Centre for Communication, Media and Information Technologies (CMI), Aalborg University Copenhagen.
Dr. Idongesit Williams is a lecturer with the Center for Communication, Media and Information Technologies (CMI) located at Aalborg University Copenhagen. He holds a Bachelor in Physics, a Master degree in Information and Communications Technologies and a Ph.D. He has since 2010 researched into socio-economic, socio-technical related to Information and Communications Technologies. His research areas include the facilitation of telecom and ICT infrastructure using Public Private Partnerships, the development and the sustenance of Community-Based Networks, e-government implementation, Science and Technology Studies, gender adoption of ICTs, Organizational adoption of ICTs, User experience with ICTs and Organizational Learning. He has authored more than 26 research publications, including journal papers, books, book chapters, conference papers and magazine articles. He is the co-editor of the Book, The African Mobile Story. He has delivered presentations at conferences and also helped in organizing conferences such as the CMI annual conference and the CMI/GTUC conferences.
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnKnowledge 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 thoug. Nº de ref. del artículo: 448011061
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Buch. Condición: Neu. Big Data and Knowledge Sharing in Virtual Organizations | Albert Gyamfi (u. a.) | Buch | Gebunden | Englisch | 2018 | Engineering Science Reference | EAN 9781522575191 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 115210488
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Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9781522575191
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