Systematic Literature Review of Publications on Digital Twin Topics in Certain Research Areas

Rabia Özat; Mualla Akçadağ

Makale detayları

Systematic Literature Review of Publications on Digital Twin Topics in Certain Research Areas

Yazarlar:

Rabia Özat | Mualla Akçadağ

Yayıncı:

Mustafa Süleyman ÖZCAN

Ana Başlıklar:

İşletme

Dergi:

İnsan ve Toplum Bilimleri Araştırmaları Dergisi Vol.12 Issue 4, pp.2388-2410

Belge Tipi:

Makale

Yayın Tarihi:

10/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001301472

pISSN:

2147-1185

Anahtar kelimeler:

Özet:

 One of the key strategies adopted by companies that wish to compete in a sustainable fashion is the idea of the digital twin, which combines the physical product with virtual technology. The development of production models, cost reduction, and keeping up with shifting client wants and needs all depend on the digital twin. In this way, organizations can exhibit a development trend by utilizing the advancements in information and communication technologies, by utilizing techniques like the internet of things, big data, artificial intelligence, and the digital twin, coupled with other technologies. The systematic organization of prior studies on this topic is considered beneficial in terms of both illuminating the present trend and directing future study because the digital twin has grown in importance as a result of the development and dissemination of technology in every field. In this paper, a thorough literature assessment of digital twin research is intended. Vosviwer analysis was used to examine 60 studies from the Web of Science database that were published for this reason. Data on author partnerships, keyword density, support status, institution, country, language, citation, year, publication type, and field of study were investigated using Vosviwer analysis using the Web of Science database. The concept of the digital twin gained popularity as of 2019 when the years in which the studies in the Web of Science database were published were looked at. It was known that the majority of the associated studies were published in the USA, as articles, and in English. The analysis revealed that the most often used keywords in the 60 studies on digital twin were data, digital twin, and industry. According to the survey, research is primarily conducted in fields like smart production, supply chains, and business economy. The systematic literature review has led to an understanding that, in contrast to the domains of smart production, supply chain, and business economics, other topics are less investigated in transportation, public administration, economics, and social sciences. Publishing in less researched regions will close the gap in the literature in this direction.

 One of the key strategies adopted by companies that wish to compete in a sustainable fashion is the idea of the digital twin, which combines the physical product with virtual technology. The development of production models, cost reduction, and keeping up with shifting client wants and needs all depend on the digital twin. In this way, organizations can exhibit a development trend by utilizing the advancements in information and communication technologies, by utilizing techniques like the internet of things, big data, artificial intelligence, and the digital twin, coupled with other technologies. The systematic organization of prior studies on this topic is considered beneficial in terms of both illuminating the present trend and directing future study because the digital twin has grown in importance as a result of the development and dissemination of technology in every field. In this paper, a thorough literature assessment of digital twin research is intended. Vosviwer analysis was used to examine 60 studies from the Web of Science database that were published for this reason. Data on author partnerships, keyword density, support status, institution, country, language, citation, year, publication type, and field of study were investigated using Vosviwer analysis using the Web of Science database. The concept of the digital twin gained popularity as of 2019 when the years in which the studies in the Web of Science database were published were looked at. It was known that the majority of the associated studies were published in the USA, as articles, and in English. The analysis revealed that the most often used keywords in the 60 studies on digital twin were data, digital twin, and industry. According to the survey, research is primarily conducted in fields like smart production, supply chains, and business economy. The systematic literature review has led to an understanding that, in contrast to the domains of smart production, supply chain, and business economics, other topics are less investigated in transportation, public administration, economics, and social sciences. Publishing in less researched regions will close the gap in the literature in this direction.

 One of the key strategies adopted by companies that wish to compete in a sustainable fashion is the idea of the digital twin, which combines the physical product with virtual technology. The development of production models, cost reduction, and keeping up with shifting client wants and needs all depend on the digital twin. In this way, organizations can exhibit a development trend by utilizing the advancements in information and communication technologies, by utilizing techniques like the internet of things, big data, artificial intelligence, and the digital twin, coupled with other technologies. The systematic organization of prior studies on this topic is considered beneficial in terms of both illuminating the present trend and directing future study because the digital twin has grown in importance as a result of the development and dissemination of technology in every field. In this paper, a thorough literature assessment of digital twin research is intended. Vosviwer analysis was used to examine 60 studies from the Web of Science database that were published for this reason. Data on author partnerships, keyword density, support status, institution, country, language, citation, year, publication type, and field of study were investigated using Vosviwer analysis using the Web of Science database. The concept of the digital twin gained popularity as of 2019 when the years in which the studies in the Web of Science database were published were looked at. It was known that the majority of the associated studies were published in the USA, as articles, and in English. The analysis revealed that the most often used keywords in the 60 studies on digital twin were data, digital twin, and industry. According to the survey, research is primarily conducted in fields like smart production, supply chains, and business economy. The systematic literature review has led to an understanding that, in contrast to the domains of smart production, supply chain, and business economics, other topics are less investigated in transportation, public administration, economics, and social sciences. Publishing in less researched regions will close the gap in the literature in this direction.

 Fiziki ürün ile sanal teknolojinin birleştirilmesinden oluşan dijital ikiz kavramı, sürdürülebilir rekabet etmek isteyen işletmelerin başvurduğu yeni yöntemlerden biridir. Maliyetlerin azaltılması, üretim modelleri geliştirmesi ve değişen müşteri istek ve ihtiyaçlarını karşılayabilme hızını yakalamada dijital ikiz kritik önem taşımaktadır. İşletmeler bu anlamda bilgi iletişim teknolojilerindeki gelişmelerden faydalanarak nesnelerin interneti, büyük veri, yapay zeka gibi yöntemleri dijital ikiz ile birlikte kullanarak gelişme trendi gösterebilmektedir. Her alanda teknolojinin gelişmesi ve yaygınlaşması sayesinde dijital ikiz önemini artırdığından bu konunun irdelendiği geçmişteki çalışmaların sistematik bir şekilde düzenlenmesinin hem mevcut eğilimin ortaya konulması hem de gelecekteki araştırmalara yön verilebilmesi açısından değerli olduğu düşünülmektedir. Bu kapsamda çalışma ile dijital ikiz konulu araştırmaların sistematik literatür incelemesi yapılması amaçlanmıştır. Bu amaçla yapılan çalışmada Web of Science veri tabanında yayınlanan 60 araştırma Vosviwer analizi ile incelenmiştir. Vosviwer analizi ve Web of Science veri tabanı kullanılarak yazar işbirlikleri, anahtar kelime yoğunluğu, desteklenme durumu, kurum, ülke, dil, atıf, yıl, yayın türü, çalışma alanı ile ilgili veriler incelenmiştir. Web of Science veri tabanındaki çalışmaların yayınlandığı yıllar incelendiğinde dijital ikiz kavramının 2019 yılı itibariyle ivme kazandığı görülmüştür. İlgili çalışmaların en çok İngilizce dilinde, makale olarak ve Amerikada yayınlandığı anlaşılmıştır. Analiz sonucunda dijital ikiz konulu 60 çalışmada en çok veri, dijital ikiz ve endüstri anahtar kelimelerinin kullanıldığı bulgusuna ulaşılmıştır. Yine çalışma ile araştırmaların ağırlıklı olarak akıllı üretim, tedarik zinciri, iş ekonomisi gibi alanlarda yapıldığı saptanmıştır. Sistematik literatür incelemesi sonucunda akıllı üretim, tedarik zinciri, iş ekonomisi alanlarının aksine taşımacılık, kamu yönetimi, ekonomi, sosyal bilimlerde diğer konuların daha az çalışıldığı anlaşılmaktadır. Bu doğrultuda daha az çalışılan alanlarda yayın yapılması literatürdeki eksikliği giderecektir.

Makale detayları

Systematic Literature Review of Publications on Digital Twin Topics in Certain Research Areas

Yazarlar:

Rabia Özat | Mualla Akçadağ

Yayıncı:

Mustafa Süleyman ÖZCAN

Ana Başlıklar:

İşletme

Dergi:

İnsan ve Toplum Bilimleri Araştırmaları Dergisi Vol.12 Issue 4, pp.2388-2410

Belge Tipi:

Makale

Yayın Tarihi:

10/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001301472

pISSN:

2147-1185

Digitization

Digital Twin

Digital twin Techniques

Cythematics Literature Analysis

Bibliometric AnalysisDijitalleşme

Dijital İkiz

Dijital ikiz Teknikleri

Sistematik Literatür Analizi

Bibliyometrik Analiz

Sayı

Makale detayları

Yazarlar: Rabia Özat | Mualla Akçadağ

Yayıncı: Mustafa Süleyman ÖZCAN

Ana Başlıklar: İşletme

Dergi: İnsan ve Toplum Bilimleri Araştırmaları Dergisi Vol.12 Issue 4, pp.2388-2410

Belge Tipi: Makale

Yayın Tarihi: 10/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001301472

pISSN: 2147-1185

Sayı

Yazarlar:

Rabia Özat | Mualla Akçadağ

Yayıncı:

Mustafa Süleyman ÖZCAN

Ana Başlıklar:

İşletme

Dergi:

İnsan ve Toplum Bilimleri Araştırmaları Dergisi Vol.12 Issue 4, pp.2388-2410

Belge Tipi:

Makale

Yayın Tarihi:

10/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001301472

pISSN:

2147-1185