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https://rfos.fon.bg.ac.rs/handle/123456789/2964Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Lula, Pawel | en_US |
| dc.creator | Raković, Lazar | en_US |
| dc.creator | Dziura, Marek | en_US |
| dc.creator | Djordjevic Milutinovic, Lena | en_US |
| dc.creator | Rojek, Tomasz | en_US |
| dc.creator | Vukovic, Vuk | en_US |
| dc.date.accessioned | 2025-12-04T09:24:43Z | - |
| dc.date.available | 2025-12-04T09:24:43Z | - |
| dc.date.issued | 2025-11-17 | - |
| dc.identifier.uri | https://rfos.fon.bg.ac.rs/handle/123456789/2964 | - |
| dc.description.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. | en_US |
| dc.language.iso | en | en_US |
| dc.rights | openAccess | en_US |
| dc.source | https://aisel.aisnet.org/isd2014/proceedings2025/transformation/29/ | en_US |
| dc.subject | supply chain management, innovation, BERTopic, bipartite graph models, SCOPUS | en_US |
| dc.title | Role of Innovative Technologies in Supply Chain Management: Analysis based on BERTopic and Bipartite Graph Models | en_US |
| dc.type | conferenceObject | en_US |
| dc.citation.other | Lula, P., Raković, L., Dziura, M., Đorđević Milutinović, L., Rojek, T. & Vuković, V. (2025). Role of Innovative Technologies in Supply Chain Management: Analysis based on BERTopic and Bipartite Graph ModelsIn I. Luković, S. Bjeladinović, B. Delibašić, D. Barać, N. Iivari, E. Insfran, M. Lang, H. Linger, & C. Schneider (Eds.), Empowering the Interdisciplinary Role of ISD in Addressing Contemporary Issues in Digital Transformation: How Data Science and Generative AI Contributes to ISD (ISD2025 Proceedings). Belgrade, Serbia: University of Gdańsk, Department of Business Informatics & University of Belgrade, Faculty of Organizational Sciences. ISBN: 978-83-972632-1-5. https://doi.org/10.62036/ISD.2025.113 | en_US |
| dc.identifier.doi | 10.62036/ISD.2025.113 | - |
| dc.type.version | publishedVersion | en_US |
| item.fulltext | With Fulltext | - |
| item.openairetype | conferenceObject | - |
| item.grantfulltext | open | - |
| item.cerifentitytype | Publications | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| item.languageiso639-1 | en | - |
| Appears in Collections: | Radovi istraživača / Researchers’ publications | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Role of Innovative Technologies in Supply Chain Management_ Analy.pdf | https://aisel.aisnet.org/isd2014/proceedings2025/transformation/29/ | 701.96 kB | Adobe PDF | View/Open |
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