Leong, Yee Rock and Tajudeen, Farzana Parveen and Yeong, Wai Chung (2021) Bibliometric and content analysis of the internet of things research: A social science perspective. Online Information Review, 45 (6). pp. 1148-1166. ISSN 1468-4527, DOI https://doi.org/10.1108/OIR-08-2020-0358.
Full text not available from this repository.Abstract
Purpose The aim is to reveal contemporary research trends and patterns in Internet of Things (IoTs) so that social scientists who are new to the discipline may be steered towards rightful directions when examining this phenomenon. Design/methodology/approach A total of 169 IoT articles indexed in the Web of Science database were analyzed via bibliometric analysis and content analysis. The VOSViewer software was used to identify popular keywords of the IoT topics, its publication productivity, the most relevant journals, and the most prolific authors within. Content analysis was conducted manually to determine the most popular research methods used, the most frequently studied contexts, the most popular IoT application areas, the most highly examined user perspectives, and the most often employed theories. Findings The synthesis of both the bibliometric and content analysis results suggest the necessity of investigating the post-adoption technology usage behavior of IoT technology in developing countries, particularly in smart home. This is especially so from new landscapes using other theories or models, apart from the overwhelmed Technology Adoption Model (TAM) and its variants. Originality/value With a focus on addressing the state-of-the-art of IoT in social science, and to synthesize its future research directions systematically, this study was conducted with both bibliometric and content analysis, in order to enhance the overall analysis for higher accuracy and more reliable results.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Internet of things; IoT; Bibliometric analysis; Content analysis; Systematic review; Research direction suggestions |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Z Bibliography. Library Science. Information Resources > Libraries > Library science. Information science |
| Divisions: | Faculty of Business and Economics |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 11 Mar 2022 04:37 |
| Last Modified: | 11 Mar 2022 04:37 |
| URI: | http://eprints.um.edu.my/id/eprint/27076 |
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