Big Data and Knowledge Sharing in Virtual Organizations

Big Data and Knowledge Sharing in Virtual Organizations

Albert Gyamfi (Aalborg University, Denmark) and Idongesit Williams (Aalborg University, Denmark)
Release Date: January, 2019|Copyright: © 2019 |Pages: 313
ISBN13: 9781522575191|ISBN10: 1522575197|EISBN13: 9781522575207|DOI: 10.4018/978-1-5225-7519-1


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.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Cloud Computing
  • Collaborative Learning
  • Decision Science
  • Digitalization
  • Knowledge Sharing
  • Machine Learning
  • Mobile Platforms
  • Organizational Learning
  • Social Media
  • Virtual Organizations

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

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.