Yeşil Tedarik Zinciri Yönetimi ve Yapay Zekâ: Web of Science (WoS) Platformuna Dayalı Bibliyometrik Analiz

Öz

Küreselleşme ilerledikçe, insanlar ve çevre tedarik zincirleri boyunca da giderek daha fazla yük altına girmektedir. Yeşil tedarik zinciri yönetimi uygulamaları, firmaların faaliyetlerinin çevre üzerindeki olumsuz etkilerini en aza indirmelerinin en iyi yoludur. Sürdürülebilir bakış açısına benimsediğini hissettiren etkiyi ancak yeşil tedarik zinciri yönetimi uygulamaları ile mümkündür. Bunun yanı sıra teknolojik gelişim ve dönüşümlerin getirdiği yeni fırsatlardan yararlanmak isteyen işletmeler için yapay zekâ hiç şüphesiz en önemli odak noktalardan biri haline gelmiştir. Bu çalışmada yeşil tedarik zinciri kavramının genel çerçevesi oluşturulmuş olup yapay zekanın yeşil tedarik zinciri yönetimine entegre eden çalışmaların literatür taraması yapılmıştır. Çalışmada “yeşil tedarik zinciri yönetimi ve yapay zekâ” kavramlarının bir arada irdelendiği çalışmalarda öne çıkan kavramlar, trendler, atıf analizleri üzerinden araştırma alanının bir panoramik görüntüsünü ortaya çıkarmak amacıyla bibliyometrik analiz yapılarak sonuçları yorumlanmıştır. Bu çalışma ile yapay zekanın yeşil tedarik zinciri yönetimine entegrasyon sürecine ilişkin son yıllarda yapılan çalışmaları bir araya getirerek gelecek çalışmalara ışık tutmayı amaçlanmaktadır. Ayrıca çalışmada yeşil tedarik zinciri yönetimi uygulamalarına değinilerek Türkiye’de faaliyet gösteren işletmelerin yeşil tedarik zinciri uygulamalarına ilişkin bilinçlendirerek dijital dönüşümlerden olan yapay zekâ uygulamalarına karşı olumlu bir bakış açısı geliştirme ve sektörel uygulamalara geçişine teşvik etme amaçlanmaktadır.

Anahtar Kelimeler

• Yeşil tedarik zinciri yönetimi
• yapay zekâ
• bibliyometrik analiz
• Web of Sciences

Destekleyen Kurum

Çalışmada herhangi bir kurum ya da kuruluştan destek alınmamıştır.

Etik Beyan

Bu çalışmada "Yükseköğretim Kurumları Bilimsel Araştırma ve Yayın Etiği Yönergesi" kapsamında uyulması belirtilen kurallara uyulmuştur.

Green Supply Chain Management and Artificial Intelligence: Bibliometric Analysis Based on Web of Science (WoS) Platform

Öz

As globalization progresses, people and the environment are also increasingly burdened along supply chains. Green supply chain management practices are the best way for firms to minimize the negative impacts of their activities on the environment. The effect that makes you feel that you have adopted a sustainable perspective is only possible with green supply chain management practices. In addition, artificial intelligence has undoubtedly become one of the most important focal points for businesses that want to take advantage of new opportunities brought by technological developments and transformations. In this study, the general framework of the concept of green supply chain was created and a literature review was conducted of studies integrating artificial intelligence into green supply chain management. In the study, the concepts of "green supply chain management and artificial intelligence" were examined together, and bibliometric analysis was performed and the results were interpreted in order to reveal a panoramic view of the research area through prominent concepts, trends and citation analysis. With this study, it is aimed to shed light on future studies by bringing together the studies carried out in recent years on the integration process of artificial intelligence into green supply chain management. In addition, the study aims to raise awareness of businesses operating in Turkey about green supply chain practices, to develop a positive perspective on artificial intelligence applications, which are digital transformations, and to encourage them to transition to sectoral practices.

Anahtar Kelimeler

• Green supply chain management
• artificial intelligence
• bibliometric analysis
• Web of Sciences.

Destekleyen Kurum

This study did not receive support from any institution or organization.

Etik Beyan

This study complies with the rules specified in the “Higher Education Institutions Scientific Research and Publication Ethics Guidelines.”

Kaynakça

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