This book provides a framework for evaluating big data and cloud computing based on how they evolve to fit users' needs in developing countries in key areas, such as agriculture and education. The authors discuss how this framework can be utilized by businesses, governments, and consumers to accelerate economic growth and overcome information and communication barriers.
This book provides a framework for evaluating big data and cloud computing based on how they evolve to fit users' needs in developing countries in key areas, such as agriculture and education. The authors discuss how this framework can be utilized by businesses, governments, and consumers to accelerate economic growth and overcome information and communication barriers.
Nir Kshetri is a Professor at the University of North Carolina-Greensboro, USA, and a Research Fellow at the Research Institute for Economics and Business Administration, Kobe University, Japan. He is the author of Global Entrepreneurship, published by Routledge in 2014. Torbjörn Fredriksson is the Head of ICT-related work for the United Nations Conference on Trade and Development in Geneva, Switzerland. Diana Carolina Rojas Torres is an Assistant Professor of Entrepreneurship and Innovation at Universidad de la Sabana, Colombia.
Inhaltsangabe
Part I: Big Data and Cloud Computing in the Global South: Key Concepts, Issues, Opportunities and Challenges 1. Diffusion of Big Data and Cloud Computing in the Global South: Facilitators, Inhibitors and Consequences 2. The Roles and Significance of Mobile Phones in the Value Proposition of Big Data and the Cloud 3. Privacy and Security Issues Associated with BD and the Cloud Part II: Big Data and Cloud Computing in Key Development Areas in the Global South 4. Primary industries 5. Education and R&D 6. E-commerce Part III: Case Studies of Diffusion and Impact of BD and Cloud Computing in Major Economies in the Global South 7. Sub-Saharan Africa 8. India 9. China 10. Brazil Part IV: Lessons Learned, Implications and the Way Forward 11. Discussion, Implications and Conclusion
Part I: Big Data and Cloud Computing in the Global South: Key Concepts, Issues, Opportunities and Challenges 1. Diffusion of Big Data and Cloud Computing in the Global South: Facilitators, Inhibitors and Consequences 2. The Roles and Significance of Mobile Phones in the Value Proposition of Big Data and the Cloud 3. Privacy and Security Issues Associated with BD and the Cloud Part II: Big Data and Cloud Computing in Key Development Areas in the Global South 4. Primary industries 5. Education and R&D 6. E-commerce Part III: Case Studies of Diffusion and Impact of BD and Cloud Computing in Major Economies in the Global South 7. Sub-Saharan Africa 8. India 9. China 10. Brazil Part IV: Lessons Learned, Implications and the Way Forward 11. Discussion, Implications and Conclusion
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