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Bibliometric Analysis of Covid 19 and Industry 4.0 Studies Published In Web of Science Database

Cilt: 12 Sayı: 4 31 Ekim 2023
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Bibliometric Analysis of Covid 19 and Industry 4.0 Studies Published In Web of Science Database

Öz

The Covid 19 pandemic, which emerged in 2019 and spread rapidly and became a hot topic in the world, has negatively affected people's lives in every sense. In order to eliminate these negative effects, many practices such as masks, curfews, distance education, working from home and vaccination have been implemented. Despite these, the Covid 19 epidemic has brought the production sector to a halt. It is thought that this situation can only be overcome with Industry 4.0 technologies, which envisage using robots instead of human factors. It is thought that the production style, which requires robots to work 24 hours a day, on which Industry 4.0 is based, may be a good method in combating the Covid 19 epidemic, as it reduces the need for humans. Even in the field of health, Industry 4.0 applications are expected to produce positive results in terms of both treatment and prevention of infection. The idea of benefiting from Industry 4.0 technologies during the Covid 19 pandemic period has been influential in academics turning to this field and many studies have been conducted on the subject. This study was conducted to examine the studies using the bibliometric analysis method. In this context, bibliometric analysis was conducted to determine the number of publications addressing Covid 19 and Industry 4.0 issues, the most cited articles, the most published authors, countries and journals. The Web of Science (WoS) database was used to obtain publications. The keywords used were subjected to a filtering process to prevent the inclusion of articles that did not meet the inclusion criteria, resulting in 305 publications. R statistical software was used to analyze the obtained data. According to the analysis results, India was found to be the country with the most articles on Covid 19 and Industry 4.0 according to the main affiliation of the author.

Anahtar Kelimeler

Industry 4.0, Covid 19, Web of Science, Bibliometric Analysis, Fourth Industrial Revolution

Kaynakça

  1. Acioli, C., Scavarda, A., & Reis, A. (2021). Applying Industry 4.0 technologies in the COVID–19 sustainable chains. International Journal of Productivity and Performance Management, 70(5), 988-1016.
  2. Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of informetrics, 11(4), 959-975.
  3. Arsenova, I. (2013). New Application of Bibliometrics. Procedia - Social and Behavioral Sciences, 73, 678-682. https://doi.org/10.1016/j.sbspro.2013.02.105.
  4. Azambuja, A. J. G.D., Plesker, C., Schützer, K., Anderl, R., Schleich, B., & Almeida, V. R. (2023). Artificial Intelligence-Based Cyber Security in the Context of Industry 4.0—A Survey. Electronics (2079-9292), 12(8): 1-18.
  5. Bornmann, L., Mutz, R., & Daniel, H. D. (2008). Are there better indices for evaluation purposes than the h index? A comparison of nine different variants of the h index using data from biomedicine. Journal of the American Society for Information Science and technology, 59(5), 830-837.
  6. Boyack, K. W., Klavans, R., & Börner, K. (2005). Mapping the backbone of science. Scientometrics, 64, 351-374.
  7. Ciotti, M., Ciccozzi, M., Terrinoni, A., Jiang, W. C., Wang, C. B., & Bernardini, S. (2020). The COVID-19 pandemic. Critical reviews in clinical laboratory sciences, 57(6), 365-388.
  8. Egghe, L. (2006). Theory and practise of the g-index. Scientometrics, 69(1), 131-152.
  9. Haleem, A., & Javaid, M. (2019). Additive manufacturing applications in industry 4.0: a review. Journal of Industrial Integration and Management, 4(04), 1930001.
  10. Hermann, M., Pentek, T., & Otto, B. (2016, January). Design principles for industrie 4.0 scenarios. In 2016 49th Hawaii international conference on system sciences (HICSS) (pp. 3928-3937). Hawai, USA.

Kaynak Göster

APA
Salik Ata, N. (2023). Bibliometric Analysis of Covid 19 and Industry 4.0 Studies Published In Web of Science Database. İnsan ve Toplum Bilimleri Araştırmaları Dergisi, 12(4), 2344-2362. https://doi.org/10.15869/itobiad.1344615
AMA
1.Salik Ata N. Bibliometric Analysis of Covid 19 and Industry 4.0 Studies Published In Web of Science Database. itobiad. 2023;12(4):2344-2362. doi:10.15869/itobiad.1344615
Chicago
Salik Ata, Neşe. 2023. “Bibliometric Analysis of Covid 19 and Industry 4.0 Studies Published In Web of Science Database”. İnsan ve Toplum Bilimleri Araştırmaları Dergisi 12 (4): 2344-62. https://doi.org/10.15869/itobiad.1344615.
EndNote
Salik Ata N (01 Ekim 2023) Bibliometric Analysis of Covid 19 and Industry 4.0 Studies Published In Web of Science Database. İnsan ve Toplum Bilimleri Araştırmaları Dergisi 12 4 2344–2362.
IEEE
[1]N. Salik Ata, “Bibliometric Analysis of Covid 19 and Industry 4.0 Studies Published In Web of Science Database”, itobiad, c. 12, sy 4, ss. 2344–2362, Eki. 2023, doi: 10.15869/itobiad.1344615.
ISNAD
Salik Ata, Neşe. “Bibliometric Analysis of Covid 19 and Industry 4.0 Studies Published In Web of Science Database”. İnsan ve Toplum Bilimleri Araştırmaları Dergisi 12/4 (01 Ekim 2023): 2344-2362. https://doi.org/10.15869/itobiad.1344615.
JAMA
1.Salik Ata N. Bibliometric Analysis of Covid 19 and Industry 4.0 Studies Published In Web of Science Database. itobiad. 2023;12:2344–2362.
MLA
Salik Ata, Neşe. “Bibliometric Analysis of Covid 19 and Industry 4.0 Studies Published In Web of Science Database”. İnsan ve Toplum Bilimleri Araştırmaları Dergisi, c. 12, sy 4, Ekim 2023, ss. 2344-62, doi:10.15869/itobiad.1344615.
Vancouver
1.Neşe Salik Ata. Bibliometric Analysis of Covid 19 and Industry 4.0 Studies Published In Web of Science Database. itobiad. 01 Ekim 2023;12(4):2344-62. doi:10.15869/itobiad.1344615