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

Yıl 2023, Cilt: 12 Sayı: 4, 2344 - 2362, 31.10.2023
https://doi.org/10.15869/itobiad.1344615

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.

Kaynakça

  • 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.
  • Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of informetrics, 11(4), 959-975.
  • 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.
  • 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.
  • 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.
  • Boyack, K. W., Klavans, R., & Börner, K. (2005). Mapping the backbone of science. Scientometrics, 64, 351-374.
  • 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.
  • Egghe, L. (2006). Theory and practise of the g-index. Scientometrics, 69(1), 131-152.
  • Haleem, A., & Javaid, M. (2019). Additive manufacturing applications in industry 4.0: a review. Journal of Industrial Integration and Management, 4(04), 1930001.
  • 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.
  • Hirsch, J. E. (2005). An index to quantify an individual's scientific research output. Proceedings of the National academy of Sciences, 102(46), 16569-16572.
  • Hotamışlı, M., & Erem, I. (2014). Muhasebe ve Finansman Dergisi’nde Yayınlanan Makalelerin Bibliyometrik Analizi. Muhasebe ve Finansman Dergisi, (63), 1-19.
  • Hussain, A., Farooq, M. U., Habib, M. S., Masood, T., & Pruncu, C. I. (2021). COVID 19 challenges: can industry 4.0 technologies help with business continuity?. Sustainability, 13(21), 11971.
  • Javaid, M., Haleem, A., Vaishya, R., Bahl, S., Suman, R., & Vaish, A. (2020). Industry 4.0 technologies and their applications in fighting COVID 19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), 419-422.
  • Lasi, H., Fettke, P., Kemper, H. G., Feld, T., & Hoffmann, M. (2014). Industrie 4.0. Wirtschaftsinformatik, 56, 261-264.
  • Lu, K., & Liao, H. (2022). Sağlık A survey of group decision making methods in Healthcare Industry 4.0: bibliometrics, applications, and directions. Uygulamalı Zeka, 1-25.
  • Lucke, D., Constantinescu C., & Westkämper, E. (2008). Smart factory – a step towards the next generation of manufacturing. In: Manufacturing systems and technologies for the new frontier: the 41st CIRP conference on manufacturing systems, Tokyo, Japan, 115–118.
  • Marinagi, C., Reklitis, P., Trivellas, P., & Sakas, D. (2023). The Impact of Industry 4.0 Technologies on Key Performance Indicators for a Resilient Supply Chain 4.0. Sustainability, 15(6), 1-31. Öztuna, B. (2017). Endüstri 4.0 ile Çalışma Yaşamının Geleceği. Ankara: Gece Kitaplığı.
  • Qin, Y., Wang, X., Xu, Z., & Škare, M. (2021). The impact of poverty cycles on economic research: evidence from econometric analysis. Economic research-Ekonomska istraživanja, 34(1), 152-171.
  • Rahman, A., Chakraborty, C., Anwar, A., Karim, M. R., Islam, M. J., Kundu, D., ... & Band, S. S. (2021). SDN–IoT empowered intelligent framework for industry 4.0 applications during COVID 19 pandemic. Cluster Computing, 1-18.
  • Ren, J. L., Zhang, A. H., & Wang, X. J. (2020). Traditional Chinese medicine for COVID-19 treatment. Pharmacological research, 155, 104743.
  • Satyro, W. C., Contador, J. C., de Paula Monken, S. F., de Lima, A. F., Junior, G. G. S., Gomes, J. A., ... & Silva, L. S. (2023). Industry 4.0 Implementation Projects: The Cleaner Production Strategy—A Literature Review. Sustainability, 15(3), 1-18.
  • Soares Junior, G.G., Satyro, W.C., Bonilla, S.H., Kontador, J.C., Barbosa, A.P., Monken, S.F.P., Martens, M.L., & Fragomeni, M.A. (2021). Construction 4.0: Industry 4.0 enabling technologies applied to improve workplace safety in construction. Research, Society and Development. 10(12),1-18.
  • Şahin, H. (2007). Türkiye ekonomisi. Bursa: Ezgi Kitabevi.
  • Thelwall, M. (2008). Bibliometrics to webometrics. Journal of Information Science, 34(4), 605-621. https://doi.org/10.1177/0165551507087238.
  • Wang, D. Y., & Ma, S. (2015, December). Literature Review on Bibliometrics and Its Future Development—Based on Bibliometric Measures. In 2nd Annual International Conference on Social Science and Contemporary Humanity Development (pp. 129-136). Atlantis Press.
  • Yersüren, S., & Özel, Ç. H. (2020). Boş zaman ve rekreasyon konulu tezler üzerine bibliyometrik bir çalışma. Türk Turizm Araştırmaları Dergisi, 4(2), 1139-1159.
  • Zhou, K., Liu, T., & Zhou, L. (2015). Industry 4.0: Towards future industrial opportunities and challenges. In 2015 12th International conference on fuzzy systems and knowledge discovery: 2147-2152.
  • Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational research methods, 18(3), 429-472.

Web of Science Veri Tabanında Yayınlanan Covid 19 ve Endüstri 4.0 Konulu Çalışmaların Bibliyometrik Analizi

Yıl 2023, Cilt: 12 Sayı: 4, 2344 - 2362, 31.10.2023
https://doi.org/10.15869/itobiad.1344615

Öz

2019 yılında ortaya çıkan ve hızlı bir şekilde yayılarak dünyanın gündemine oturan Covid 19 salgını insanların yaşamlarını her anlamda olumsuz etkilemiştir. Bu olumsuz etkileri yok edebilmek için maske, sokağa çıkma yasağı, uzaktan eğitim, evden çalışma, aşılama gibi pek çok uygulamaya gidilmiştir. Bunlara rağmen Covid 19 salgını üretim sektörünü durma noktasına getirmiştir. Bu durumun ise ancak insan faktörü yerine robot kullanmayı öngören Endüstri 4.0 teknolojileri ile aşılabileceği düşünülmüştür. Endüstri 4.0’ın esas aldığı 24 saat robatların çalışmasını öngören üretim tarzı, insana olan ihtiyaçı azalttığından Covid 19 salgını ile mücadelede iyi bir yöntem olabileceği düşülmektedir. Hatta sağlık alanında da Endüstri 4.0 uygulamalarının hem tedavi hem de bulaşı önlemek açısından olumlu sonuçlar doğurması beklenmektedir. Covid 19 pandemi döneminde Endüstri 4.0’ın teknolojilerinden faydalanma fikri akademisyenlerin bu alana yönelmelerinde etkili olmuştur ve konuyla ilgli pek çok çalışma yapılmıştır. Bu çalışma da yapılan çalışmaların bibliyometrik analiz yöntemi ile incelenmesi amacıyla yapılmıştır. Bu bağlamda Covid 19 ve Endüstri 4.0 konularını ele alan yayın sayısını, en çok atıf alan makaleleri, en çok yayın yapan yazarları, ülkeleri ve dergileri tespit etmek için bibliyometrik analiz yapılmıştır. Yayınları elde etmek için Web of Science (WoS) veritabanı kullanılmıştır. Kullanılan anahtar kelimeler, dahil etme kriterlerini karşılamayan makalelerin getirilmesini önlemek için bir filtreleme işlemine tabi tutularak 305 yayına ulaşılmıştır. Elde edilen verileri analiz etmek için R istatistiksel yazılımı kullanılmıştır. Analiz sonuçlarına göre Hindistan, yazarın ana mensubiyetine göre Covid 19 ve Endüstri 4.0 hakkında en çok makaleye sahip ülke olduğu görülmüştür.

Kaynakça

  • 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.
  • Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of informetrics, 11(4), 959-975.
  • 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.
  • 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.
  • 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.
  • Boyack, K. W., Klavans, R., & Börner, K. (2005). Mapping the backbone of science. Scientometrics, 64, 351-374.
  • 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.
  • Egghe, L. (2006). Theory and practise of the g-index. Scientometrics, 69(1), 131-152.
  • Haleem, A., & Javaid, M. (2019). Additive manufacturing applications in industry 4.0: a review. Journal of Industrial Integration and Management, 4(04), 1930001.
  • 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.
  • Hirsch, J. E. (2005). An index to quantify an individual's scientific research output. Proceedings of the National academy of Sciences, 102(46), 16569-16572.
  • Hotamışlı, M., & Erem, I. (2014). Muhasebe ve Finansman Dergisi’nde Yayınlanan Makalelerin Bibliyometrik Analizi. Muhasebe ve Finansman Dergisi, (63), 1-19.
  • Hussain, A., Farooq, M. U., Habib, M. S., Masood, T., & Pruncu, C. I. (2021). COVID 19 challenges: can industry 4.0 technologies help with business continuity?. Sustainability, 13(21), 11971.
  • Javaid, M., Haleem, A., Vaishya, R., Bahl, S., Suman, R., & Vaish, A. (2020). Industry 4.0 technologies and their applications in fighting COVID 19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), 419-422.
  • Lasi, H., Fettke, P., Kemper, H. G., Feld, T., & Hoffmann, M. (2014). Industrie 4.0. Wirtschaftsinformatik, 56, 261-264.
  • Lu, K., & Liao, H. (2022). Sağlık A survey of group decision making methods in Healthcare Industry 4.0: bibliometrics, applications, and directions. Uygulamalı Zeka, 1-25.
  • Lucke, D., Constantinescu C., & Westkämper, E. (2008). Smart factory – a step towards the next generation of manufacturing. In: Manufacturing systems and technologies for the new frontier: the 41st CIRP conference on manufacturing systems, Tokyo, Japan, 115–118.
  • Marinagi, C., Reklitis, P., Trivellas, P., & Sakas, D. (2023). The Impact of Industry 4.0 Technologies on Key Performance Indicators for a Resilient Supply Chain 4.0. Sustainability, 15(6), 1-31. Öztuna, B. (2017). Endüstri 4.0 ile Çalışma Yaşamının Geleceği. Ankara: Gece Kitaplığı.
  • Qin, Y., Wang, X., Xu, Z., & Škare, M. (2021). The impact of poverty cycles on economic research: evidence from econometric analysis. Economic research-Ekonomska istraživanja, 34(1), 152-171.
  • Rahman, A., Chakraborty, C., Anwar, A., Karim, M. R., Islam, M. J., Kundu, D., ... & Band, S. S. (2021). SDN–IoT empowered intelligent framework for industry 4.0 applications during COVID 19 pandemic. Cluster Computing, 1-18.
  • Ren, J. L., Zhang, A. H., & Wang, X. J. (2020). Traditional Chinese medicine for COVID-19 treatment. Pharmacological research, 155, 104743.
  • Satyro, W. C., Contador, J. C., de Paula Monken, S. F., de Lima, A. F., Junior, G. G. S., Gomes, J. A., ... & Silva, L. S. (2023). Industry 4.0 Implementation Projects: The Cleaner Production Strategy—A Literature Review. Sustainability, 15(3), 1-18.
  • Soares Junior, G.G., Satyro, W.C., Bonilla, S.H., Kontador, J.C., Barbosa, A.P., Monken, S.F.P., Martens, M.L., & Fragomeni, M.A. (2021). Construction 4.0: Industry 4.0 enabling technologies applied to improve workplace safety in construction. Research, Society and Development. 10(12),1-18.
  • Şahin, H. (2007). Türkiye ekonomisi. Bursa: Ezgi Kitabevi.
  • Thelwall, M. (2008). Bibliometrics to webometrics. Journal of Information Science, 34(4), 605-621. https://doi.org/10.1177/0165551507087238.
  • Wang, D. Y., & Ma, S. (2015, December). Literature Review on Bibliometrics and Its Future Development—Based on Bibliometric Measures. In 2nd Annual International Conference on Social Science and Contemporary Humanity Development (pp. 129-136). Atlantis Press.
  • Yersüren, S., & Özel, Ç. H. (2020). Boş zaman ve rekreasyon konulu tezler üzerine bibliyometrik bir çalışma. Türk Turizm Araştırmaları Dergisi, 4(2), 1139-1159.
  • Zhou, K., Liu, T., & Zhou, L. (2015). Industry 4.0: Towards future industrial opportunities and challenges. In 2015 12th International conference on fuzzy systems and knowledge discovery: 2147-2152.
  • Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational research methods, 18(3), 429-472.
Toplam 29 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Araştırma, Bilim ve Teknoloji Politikası
Bölüm Makaleler
Yazarlar

Neşe Salik Ata 0000-0002-8977-7881

Erken Görünüm Tarihi 28 Ekim 2023
Yayımlanma Tarihi 31 Ekim 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 12 Sayı: 4

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
İnsan ve Toplum Bilimleri Araştırmaları Dergisi  Creative Commons Atıf-GayriTicari 4.0 Uluslararası Lisansı (CC BY NC) ile lisanslanmıştır.