Big Data and Knowledge Sharing in Virtual Organizations
- 5h 35m
- Albert Gyamfi, Idongesit Williams
- IGI Global
- 2019
Knowledge in its pure state is tacit in naturedifficult to formalize and communicatebut 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.
In this Book
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Knowledge Management and Business Analytics
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Analysis of the 5Vs of Big Data in Virtual Travel Organizations
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Integrating Heterogeneous Enterprise Data Using Ontology in Supply Chain Management
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About Digital Avatars for Control Systems Using Big Data and Knowledge Sharing in Virtual Industries
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Rife Information Pollution (Infollution) and Virtual Organizations in Industry 4.0: Within Reality Causes and Consequences
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Generating Big Data: Leveraging on New Media for Value Creation
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Big Data, Privacy, and Healthcare
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What Are Basketball Fans Saying on Twitter? Evidence From Euroleague Basketball's Final Four Event
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Developing a Big-Data-Based Model to Study and Analyze Network Traffic
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Clustering Earthquake Data: Identifying Spatial Patterns From Non-Spatial Attributes
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Data Imputation Methods for Missing Values in the Context of Clustering
