Akademik Veri Yönetim Sistemi
Tezin Türü: Yüksek Lisans
Tezin Yürütüldüğü Kurum: İstanbul Gelişim Üniversitesi, LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İŞLETME (İNGİLİZCE) , Türkiye
Tezin Onay Tarihi: 2025
Tezin Dili: İngilizce
Öğrenci: FARID AHMAD JALALI
Danışman: Çağla Tuğberk Arıker
Özet:
This thesis presents a
bibliometric analysis of the impact of Artificial Intelligence (AI) on Supply
Chain Management (SCM) based on data extracted from the Scopus database. The
study covers research publications from 2020 to the first quarter of 2024, with
a particular focus on the applications of AI in logistics and inventory
management. This research aims to explain the growing landscape of AI
integration in SCM by a detailed examination of publication trends,
geographical distribution, emerging topics, and citation analysis of
influential papers, authors, and institutions.
The results demonstrate a notable
increase in research activity and publications in this field, highlighting AI's
growing interest and importance in enhancing SCM. Key findings point out that
AI-based technologies like Machine Learning (ML), Deep Learning (DL), and
generative adversarial networks create efficiency, predictive analytics,
automation, and supply chain visibility. Moreover, the analysis recognizes a
number of leading clusters, including sustainable smart cities, exploratory
studies in food waste management, and reverse logistics. It shows AI's diverse
applications and benefits in SCM.
The Scopus Database's selection as
a single source of information limits the number of relevant publications and
excludes relevant studies listed in other databases. Similar cases display a
fragmentary view of the study landscape. Still, the study offers valuable
knowledge for researchers, policymakers, and practitioners. In addition, it
helps them determine future research directions and underscores areas for
investment in AI and SCM.
The study exclusively focuses on
the existing academic publications to reveal AI systems' capacities,
advantages, and overall impact on the SCM domain. In addition, it underlines
the interpretation of AI-based technologies and their implementation into SCM.
It gives knowledge regarding AI's impact on informed decision-making, advanced
technology transformation, and ideal collaboration and outcomes. Moreover, the
need for further analysis of related topics is highlighted. The author has
faith in collaboration and teamwork by scholars and practitioners. Their joint
work ensures the complete integration of AI's innovative capabilities and their
usage in the SCM domain.
Key Words: Artificial
Intelligence, Supply Chain Management, Logistics, Inventory Management.