Please use this identifier to cite or link to this item: https://rfos.fon.bg.ac.rs/handle/123456789/2964
Title: Role of Innovative Technologies in Supply Chain Management: Analysis based on BERTopic and Bipartite Graph Models
Authors: Lula, Pawel
Raković, Lazar
Dziura, Marek
Djordjevic Milutinovic, Lena 
Rojek, Tomasz
Vukovic, Vuk
Keywords: supply chain management, innovation, BERTopic, bipartite graph models, SCOPUS
Issue Date: 17-Nov-2025
Abstract: The supply chain represents a complex network managing the flow of goods, services, and
information. Revolutionary technologies including Internet of Things (IoT), blockchain,
and artificial intelligence (AI) are fundamentally reshaping supply chain segments,
accelerating digital transformation while enhancing operational efficiency. This study
examines above 70 thousand publications, indexed in the SCOPUS database, related to
SCM (analyzing titles, abstracts, and keywords) from 2010 to March 2025, employing
BERTopic modeling and bipartite graph analysis to identify emerging patterns. The
research uncovers eleven distinct innovation technologies and systematically maps their
relationships with various supply chain management (SCM) domains. The results highlight
that innovations in SCM are not isolated but broadly integrated across domains, suggesting
the importance of cross-departmental collaboration to maximize system-wide benefits.
These findings offer strategic insights for practitioners and establish analytical framework
for scholars investigating the dynamic intersection of technological innovation and modern
supply chain management.
URI: https://rfos.fon.bg.ac.rs/handle/123456789/2964
Appears in Collections:Radovi istraživača / Researchers’ publications

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