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Knowledge Diffusion of the Internet of Things (IoT): A Main Path Analysis
Abderahman Rejeb1, Karim Rejeb2, Suhaiza Hanim Mohamad Zailani3
1Department of Management and Law, Faculty of Economics, University of Rome Tor Vergata, Rome , 00133 Italy.
Wireless Personal Communications
|June 13, 2022
Summary
This study maps the evolution of Internet of Things (IoT) research using keyword analysis. It identifies key research areas like smart cities, AI, and blockchain, guiding future development.
Area of Science:
- Computer Science
- Information Science
- Electrical Engineering
Background:
- The Internet of Things (IoT) has rapidly evolved, necessitating an analysis of its knowledge diffusion and evolution.
- Existing literature reviews on IoT require updating due to the field's fast-paced development.
- Understanding knowledge diffusion is crucial for tracking research trends and identifying future directions in IoT.
Purpose of the Study:
- To analyze the historical development and knowledge diffusion routes within the Internet of Things (IoT) domain.
- To identify current research hotspots and emerging trends in IoT.
- To provide insights into the evolution of IoT research for academics and practitioners.
Main Methods:
- Keyword co-occurrence network analysis was employed to map the research landscape.
- Main Path Analysis (MPA) was utilized to trace the historical development and knowledge flow.
- A comprehensive dataset of 27,425 papers from the Web of Science (1970-2020) was analyzed.
Main Results:
- Key research areas in IoT include applications for smart cities, wireless networks, blockchain technology, computing technologies, and artificial intelligence (AI).
- The study identified significant knowledge diffusion pathways within the IoT domain.
- Main Path Analysis revealed the core intellectual structure and evolution of IoT research.
Conclusions:
- The findings highlight the interconnectedness of IoT with smart cities, AI, and blockchain technologies.
- This research provides a valuable guide for disseminating IoT knowledge and understanding its trajectory.
- The study offers a historical perspective and future outlook on IoT development and implementation.
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