Bibliometric and content analysis of the internet of things research: A social science perspective
Document Type
Article
Publication Date
10-14-2021
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.
Keywords
Internet of things, IoT, Bibliometric analysis, Content analysis, Systematic review, Research direction suggestions
Divisions
Faculty_of_Business_and_Accountancy
Publication Title
Online Information Review
Volume
45
Issue
6
Publisher
Emerald Group Publishing Ltd
Publisher Location
HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND