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Year of publication
Subject
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Big Data 7 Big data 7 Data Analytics 5 Data analytics 5 Lieferkette 3 Supply chain 3 Algorithm 1 Algorithmus 1 Artificial intelligence 1 Beschaffung 1 Bibliometrics 1 Bibliometrie 1 Consumers 1 Data 1 Daten 1 Emergency management 1 Highly skilled workers 1 Hochqualifizierte Arbeitskräfte 1 Industrie 4.0 1 Industry 4.0 1 Internet der Dinge 1 Internet of things 1 Inventory model 1 Katastrophenschutz 1 Kaufentscheidung 1 Künstliche Intelligenz 1 Lager 1 Lagerhaltungsmodell 1 Logistics 1 Logistik 1 Multi-criteria analysis 1 Multikriterielle Entscheidungsanalyse 1 Nachhaltigkeit 1 Performance management 1 Performance-Management 1 Personalisierung 1 Personalization 1 Procurement 1 Product 1 Produkt 1
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Type of publication
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Article 10
Type of publication (narrower categories)
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Aufsatz im Buch 10 Book section 10
Language
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English 10
Author
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Ülkü, M. Ali 2 Abhisekh Kumar Singh 1 Ahlawat, Navin 1 Amiri, Maghsoud 1 Appolloni, Andrea 1 Arthur, Rangel 1 Breville, Curtis 1 Chandrashekar, Swathi 1 Currie, Brianna A. 1 Fong, Simon 1 França, Reinaldo Padilha 1 French, Alexandra D. 1 Gandomi, Amir H. 1 Ghahremanloo, Mohammad 1 Hashemi-Tabatabaei, Mohammad 1 Hussain, Azath 1 Iano, Yuzo 1 Keshavarz Ghorabaee, Mehdi 1 Matt, Siddesh Gaddadevara 1 Monteiro, Ana Carolina Borges 1 Nicoletti, Bernardo 1 Rahimi, Iman 1 Raja, Maheswari 1 Sekhar, Sivagnanam Rajamanickam Mani 1 Swami, Anupam 1 Yadav, Ajay Singh 1 Škrinjarić, Tihana 1
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Big data analytics in supply chain management : theory and applications 10
Source
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ECONIS (ZBW) 10
Showing 1 - 10 of 10
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Big data analytics in supply chain management : a scientometric analysis
Rahimi, Iman; Gandomi, Amir H.; Ülkü, M. Ali; Fong, Simon - In: Big data analytics in supply chain management : theory …, (pp. 1-7). 2021
Persistent link: https://www.econbiz.de/10012422573
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Supply chain analytics technology for big data
Sekhar, Sivagnanam Rajamanickam Mani; Chandrashekar, Swathi - In: Big data analytics in supply chain management : theory …, (pp. 9-28). 2021
Persistent link: https://www.econbiz.de/10012422589
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Prioritizing the barriers and challenges of big data analytics in logistics and supply chain management using MCDM method
Keshavarz Ghorabaee, Mehdi; Amiri, Maghsoud; … - In: Big data analytics in supply chain management : theory …, (pp. 29-43). 2021
Persistent link: https://www.econbiz.de/10012422670
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Big data in procurement 4.0 : critical success factors and solutions
Nicoletti, Bernardo; Appolloni, Andrea - In: Big data analytics in supply chain management : theory …, (pp. 45-63). 2021
Persistent link: https://www.econbiz.de/10012422675
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Recommendation model based on expiry date of product using big data analytics
Abhisekh Kumar Singh; Raja, Maheswari; Hussain, Azath - In: Big data analytics in supply chain management : theory …, (pp. 65-77). 2021
Persistent link: https://www.econbiz.de/10012423033
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Comparing company's performance to its peers : a data envelopment approach
Škrinjarić, Tihana - In: Big data analytics in supply chain management : theory …, (pp. 79-107). 2021
Persistent link: https://www.econbiz.de/10012423045
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Sustainability, big data, and consumer behavior a supply chain framework
Currie, Brianna A.; French, Alexandra D.; Ülkü, M. Ali - In: Big data analytics in supply chain management : theory …, (pp. 109-132). 2021
Persistent link: https://www.econbiz.de/10012423051
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A soft computing techniques application of an inventory model in solving two-warehouses using cuckoo search algorithm
Yadav, Ajay Singh; Swami, Anupam; Ahlawat, Navin - In: Big data analytics in supply chain management : theory …, (pp. 133-149). 2021
Persistent link: https://www.econbiz.de/10012423059
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An overview of the internet of things technologies focusing on disaster response
França, Reinaldo Padilha; Monteiro, Ana Carolina Borges; … - In: Big data analytics in supply chain management : theory …, (pp. 151-168). 2021
Persistent link: https://www.econbiz.de/10012423073
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Closing the big data talent gap
Breville, Curtis - In: Big data analytics in supply chain management : theory …, (pp. 169-187). 2021
Persistent link: https://www.econbiz.de/10012423168
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