BIBLIOGRAPHY AND VISUALIZED ANALYSIS OF INTERNET THINGS IN BUSINESS
L. Zakharkina
Sumy, Ukraine
Ye. Okhrimchuk
Sumy, Ukraine
Pages: 304-311
Original language: Ukrainian
DOI: 10.21272/1817-9215.2021.1-34
The article reflects the results of processing of bibliographic data presented in the Scopus database, filtered using the following keywords: ‘Internet of Things’ and ‘Business’. The main purpose of the study is to analyze scientific publications, review their structure and their dynamics using the data visualizing tool VOSviewer. This bibliographic analysis aims to simplify the understanding of the processed material through visualization. In total, the data of 6108 scientific publications were analyzed during the study. The period of active increase in publishing activity is the period from 2010 to 2019, with a significant increase in the total number of works every year. After facing difficulties in the face of the COVID-19 pandemic, publication activity declined for the first time in 2020, but the indicators of the beginning of 2021 predict a resumption of the course to increase the number of works in this area. Experts from 112 countries are working on research on this topic, but despite the quantitative indicators of published materials, the leading countries are America, China and the United Kingdom. The result of keyword analysis was the opportunity to identify the main trends in research, namely: cloud computing, information management, network security, Industry 4.0 and more. The article generates a model for visually displaying the significance of keywords and their relationship to each other. The analysis resulted in the construction of a cluster model and the identification of six main areas of research on the Internet of Things technology. It is established that most scientific works on this topic are devoted to the following topics: application of technologies in production and management; research of communication and energy efficiency problems; working on the Internet; using cloud technologies and working with data sets; solving security and personal data protection issues; Smart technologies (smart homes and devices). Thanks to practical data visualization tools, it is possible not only to monitor trend areas but also to find problematic and most unexplored research areas.
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