| Title |
Internet of things based innovative solutions and emerging research clusters in circular economy |
| ID_Doc |
1446 |
| Authors |
Jauhar, S; Pratap, S; Lakshay; Paul, S; Gunasekaran, A |
| Title |
Internet of things based innovative solutions and emerging research clusters in circular economy |
| Year |
2023 |
| Published |
Operations Management Research, 16, 4 |
| DOI |
10.1007/s12063-023-00421-9 |
| Abstract |
There have been more studies on the circular economy (CE) and the internet of things (IoT) in recent years, but limited studies have examined how IoT can aid the CE. This study will use bibliometric tools to examine the current literature on IoT-CE and contribute to the expansion of knowledge in this field. The R package Bibliometrics was used to look at a set of more than 2,000 scientific papers from the Web of Science database about how IoT-based solutions can help improve the circular economy. This analysis helps us figure out how many papers are published each year by country, author, journal, and institution. With the number of publications around the world going up, the United States was the country with the most publications and citations, followed by the United Kingdom. Also shown in the results is how well journals, authors, and institutions did. The keyword analysis shows that research in these fields is getting more and more popular. The content analysis shows that IoT is mostly used in six areas: internet traceability and e-commerce, IoT adoption barriers in the supply chain, digitization in the supply chain, the effects of big data on the economy, the role of information technology in the circular economy, and supply chain performance. Therefore, these results can aid future research in this field by providing a global perspective of scientific research on IoT-based innovative solutions along-with the role of various digital technologies in achieving circular economy characteristics or dimensions. |
| Author Keywords |
Internet of things; Circular economy; Supply chain; Bibliometric analysis; Content analysis |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Social Science Citation Index (SSCI) |
| EID |
WOS:001084491800001 |
| WoS Category |
Management |
| Research Area |
Business & Economics |
| PDF |
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