Journal
SINTA 1
Big Data Analytics Powered by AI for Enhancing Supply Chain Agility and Customer Relationship Performance
Operations and Supply Chain Management: An International Journal
ISSN 2579-9363
Published 2026-01-18
Publisher OSCM Forum
Collaboration network of the authors
6 authors ·
15 co-authorship links
· 12 across different organisations
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This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.
Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2579-9363/works, first harvested 29 Oct 2026, last seen 8 Nov 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Big Data Analytics Powered by AI for Enhancing Supply Chain Agility and Customer Relationship Performance</dc:title><dc:creator>Shah, Syed Zamin</dc:creator><dc:creator>Liu, Aijun</dc:creator><dc:creator>Nusrat, Ayesha</dc:creator><dc:creator>Chen, Lei</dc:creator><dc:creator>Li, Xiaodong</dc:creator><dc:creator>Lu, Hui</dc:creator><dc:publisher>OSCM Forum</dc:publisher><dc:date>2026-01-18</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:identifier>https://doi.org/10.31387/oscm0640512</dc:identifier><dc:identifier>10.31387/oscm0640512</dc:identifier><dc:source>Operations and Supply Chain Management: An International Journal; (2026); 145-163</dc:source><dc:source>2579-9363</dc:source></oai_dc:dc>
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Cite this article
APA 7
Shah, S. Z., Liu, A., Nusrat, A., Chen, L., Li, X., & Lu, H. (2026). Big Data Analytics Powered by AI for Enhancing Supply Chain Agility and Customer Relationship Performance. Operations and Supply Chain Management: An International Journal, 145–163. https://doi.org/10.31387/oscm0640512
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IEEE
S. Z. Shah, A. Liu, A. Nusrat, L. Chen, X. Li, and H. Lu, “Big Data Analytics Powered by AI for Enhancing Supply Chain Agility and Customer Relationship Performance,” Operations and Supply Chain Management: An International Journal, pp. 145–163, 2026, doi: 10.31387/oscm0640512.
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