Data science and big data analytics: a systematic review of methodologies used in the supply chain and logistics research
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Title
Data science and big data analytics: a systematic review of methodologies used in the supply chain and logistics research
Authors
Keywords
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Journal
ANNALS OF OPERATIONS RESEARCH
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2023-07-11
DOI
10.1007/s10479-023-05390-7
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- (2023) Luca Mungo et al. JOURNAL OF ECONOMIC DYNAMICS & CONTROL
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- (2022) Anas Iftikhar et al. ANNALS OF OPERATIONS RESEARCH
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- (2022) Angie Nguyen et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”
- (2022) Dmitry Ivanov et al. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
- Analysis of the COVID-19 pandemic’s impacts on manufacturing: a systematic literature review and future research agenda
- (2022) Marco Ardolino et al. Operations Management Research
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- (2022) Guojun Ji et al. ANNALS OF OPERATIONS RESEARCH
- Two-way information sharing of uncertain demand forecasts in a dual-channel supply chain
- (2022) Ying Dai et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Adapting supply chain operations in anticipation of and during the COVID-19 pandemic
- (2022) Maxim Rozhkov et al. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
- Blockchain-supported business model design, supply chain resilience, and firm performance
- (2022) Guo Li et al. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
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- (2022) Leonardo Niccolò Ialongo et al. Scientific Reports
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- (2022) Efpraxia D. Zamani et al. ANNALS OF OPERATIONS RESEARCH
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- (2022) Surajit Bag et al. ANNALS OF OPERATIONS RESEARCH
- The Impacts of digital technologies on coping with the COVID-19 pandemic in the manufacturing industry: a systematic literature review
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- (2022) Dmitry Ivanov INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
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- (2022) Frank Bodendorf et al. Journal of Cleaner Production
- Big data and big disaster: a mechanism of supply chain risk management in global logistics industry
- (2022) Lixu Li et al. INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT
- How Does Misinformation and Capricious Opinions Impact the Supply Chain - A Study on the Impacts During the Pandemic
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- (2022) Hannan Amoozad Mahdiraji et al. COMPUTERS & INDUSTRIAL ENGINEERING
- A review on reinforcement learning algorithms and applications in supply chain management
- (2022) Benjamin Rolf et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Decision support system for handling control decisions and decision-maker related to supply chain
- (2022) Dimah Hussein Alahmadi et al. Journal of Big Data
- Supply chain resilience: a tertiary study
- (2022) Sascha Hägele et al. International Journal of Integrated Supply Management
- Post-pandemic adaptation and development of supply chain viability theory
- (2022) Dmitry Ivanov et al. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
- Information leakage in a cross-border logistics supply chain considering demand uncertainty and signal inference
- (2021) Baozhuang Niu et al. ANNALS OF OPERATIONS RESEARCH
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- (2021) Zahra Homayouni et al. ANNALS OF OPERATIONS RESEARCH
- Big Data in operations and supply chain management: a systematic literature review and future research agenda
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- (2021) Masoud Mirzaei et al. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
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- (2018) Pan Liu JOURNAL OF CLEANER PRODUCTION
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- (2006) Shu-Hsien Liao et al. EXPERT SYSTEMS WITH APPLICATIONS
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