Summary
The study maps the state of Internet of Things research for social scientists new to the field. It combines bibliometric analysis with manual content analysis of 169 IoT articles indexed in Web of Science, which gives a more accurate and reliable picture than either method alone.
Keywords: Internet of Things, bibliometric analysis, content analysis, social science, technology adoption
1. Method
| Analysis | Tool | What It Identified |
|---|---|---|
| Bibliometric | VOSviewer | Popular keywords, publication productivity, the most relevant journals and the most prolific authors |
| Content | Manual coding | Research methods, study contexts, IoT application areas, user perspectives and theories used |
2. Key Findings
The field needs more research on how people keep using IoT after adopting it, especially smart home technology in developing countries. It also needs theories beyond the Technology Acceptance Model and its variants, which dominate current work.
3. Why It Matters
This review set the direction for the authors' later work: the 2022 study of smart home usage and quality of life, and the 2026 study of smart home adoption using the Fogg Behavior Model.
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Cite This Paper
Leong, Y. R., Tajudeen, F. P., & Yeong, W. C. (2021). Bibliometric and content analysis of the internet of things research: A social science perspective. Online Information Review, 45(6), 1148-1166. https://doi.org/10.1108/OIR-08-2020-0358
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