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Big data in humanitarian supply chain management: a review and further research directions

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Cited by:

  1. Emilia Grass & Janosch Ortmann & Burcu Balcik & Walter Rei, 2023. "A machine learning approach to deal with ambiguity in the humanitarian decision‐making," Production and Operations Management, Production and Operations Management Society, vol. 32(9), pages 2956-2974, September.
  2. George S. Atsalakis & Elie Bouri & Fotios Pasiouras, 2021. "Natural disasters and economic growth: a quantile on quantile approach," Annals of Operations Research, Springer, vol. 306(1), pages 83-109, November.
  3. Josip Marić & Carlos Galera-Zarco & Marco Opazo-Basáez, 2022. "The emergent role of digital technologies in the context of humanitarian supply chains: a systematic literature review," Annals of Operations Research, Springer, vol. 319(1), pages 1003-1044, December.
  4. Nezih Altay & Graham Heaslip & Gyöngyi Kovács & Karen Spens & Peter Tatham & Alain Vaillancourt, 2024. "Innovation in humanitarian logistics and supply chain management: a systematic review," Annals of Operations Research, Springer, vol. 335(3), pages 965-987, April.
  5. Abhilash Kondraganti & Gopalakrishnan Narayanamurthy & Hossein Sharifi, 2024. "A systematic literature review on the use of big data analytics in humanitarian and disaster operations," Annals of Operations Research, Springer, vol. 335(3), pages 1015-1052, April.
  6. Malin Song & Sai Yuan & Hongguang Bo & Jinbo Song & Xiongfeng Pan & Kairui Jin, 2024. "Robust optimization model of anti-epidemic supply chain under technological innovation: learning from COVID-19," Annals of Operations Research, Springer, vol. 335(3), pages 1331-1361, April.
  7. Taiga Saito & Shivam Gupta, 2022. "Big Data Applications with Theoretical Models and Social Media in Financial Management," CIRJE F-Series CIRJE-F-1205, CIRJE, Faculty of Economics, University of Tokyo.
  8. Masoud Shayganmehr & Shivam Gupta & Issam Laguir & Rebecca Stekelorum & Ajay Kumar, 2024. "Assessing the role of industry 4.0 for enhancing swift trust and coordination in humanitarian supply chain," Annals of Operations Research, Springer, vol. 335(3), pages 1053-1085, April.
  9. Taiga Saito & Shivam Gupta, 2022. "Big data applications with theoretical models and social media in financial management," CARF F-Series CARF-F-550, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
  10. Sarah Schiffling & Claire Hannibal & Matthew Tickle & Yiyi Fan, 2022. "The implications of complexity for humanitarian logistics: a complex adaptive systems perspective," Annals of Operations Research, Springer, vol. 319(1), pages 1379-1410, December.
  11. Sachin Modgil & Rohit Kumar Singh & Cyril Foropon, 2022. "Quality management in humanitarian operations and disaster relief management: a review and future research directions," Annals of Operations Research, Springer, vol. 319(1), pages 1045-1098, December.
  12. Sabari R. Prasanna, 2022. "The role of supplier innovativeness in the humanitarian context," Annals of Operations Research, Springer, vol. 319(1), pages 1359-1377, December.
  13. Aniruddh Nain & Deepika Jain & Shivam Gupta & Ashwani Kumar, 2023. "Improving First Responders' Effectiveness in Post-Disaster Scenarios Through a Hybrid Framework for Damage Assessment and Prioritization," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(3), pages 409-437, September.
  14. M. Ali Ülkü & James H. Bookbinder & Nam Yi Yun, 2024. "Leveraging Industry 4.0 Technologies for Sustainable Humanitarian Supply Chains: Evidence from the Extant Literature," Sustainability, MDPI, vol. 16(3), pages 1-26, February.
  15. Jimei Yang & Hanping Hou & Hanqing Hu, 2024. "Exploring the Intelligent Emergency Management Mode of Rural Natural Disasters in the Era of Digital Technology," Sustainability, MDPI, vol. 16(6), pages 1-21, March.
  16. P. R. C. Gopal & Nripendra P. Rana & Thota Vamsi Krishna & M. Ramkumar, 2024. "Impact of big data analytics on supply chain performance: an analysis of influencing factors," Annals of Operations Research, Springer, vol. 333(2), pages 769-797, February.
  17. Rameshwar Dubey & David J. Bryde & Cyril Foropon & Gary Graham & Mihalis Giannakis & Deepa Bhatt Mishra, 2022. "Agility in humanitarian supply chain: an organizational information processing perspective and relational view," Annals of Operations Research, Springer, vol. 319(1), pages 559-579, December.
  18. Jaya Priyadarshini & Rajesh Kr Singh & Ruchi Mishra & Surajit Bag, 2022. "Investigating the interaction of factors for implementing additive manufacturing to build an antifragile supply chain: TISM-MICMAC approach," Operations Management Research, Springer, vol. 15(1), pages 567-588, June.
  19. Meriem Riad & Mohamed Naimi & Chafik Okar, 2024. "Enhancing Supply Chain Resilience Through Artificial Intelligence: Developing a Comprehensive Conceptual Framework for AI Implementation and Supply Chain Optimization," Logistics, MDPI, vol. 8(4), pages 1-26, November.
  20. Maciel M. Queiroz & Samuel Fosso Wamba, 2024. "A structured literature review on the interplay between emerging technologies and COVID-19 – insights and directions to operations fields," Annals of Operations Research, Springer, vol. 335(3), pages 937-963, April.
  21. Mark Rodgers & Sayan Mukherjee & Benjamin Melamed & Alok Baveja & Ajai Kapoor, 2024. "Solving business problems: the business-driven data-supported process," Annals of Operations Research, Springer, vol. 332(1), pages 705-741, January.
  22. Samuel Fosso Wamba & Maciel M. Queiroz & Lunwen Wu & Uthayasankar Sivarajah, 2024. "Big data analytics-enabled sensing capability and organizational outcomes: assessing the mediating effects of business analytics culture," Annals of Operations Research, Springer, vol. 333(2), pages 559-578, February.
  23. Sudhanshu Joshi & Manu Sharma & Rashmi Prava Das & Kamalakanta Muduli & Rakesh Raut & B. E. Narkhede & Himanshu Shee & Abhishek Misra, 2022. "Assessing Effectiveness of Humanitarian Activities against COVID-19 Disruption: The Role of Blockchain-Enabled Digital Humanitarian Network (BT-DHN)," Sustainability, MDPI, vol. 14(3), pages 1-22, February.
  24. Surajit Bag & Shivam Gupta & Lincoln Wood, 2022. "Big data analytics in sustainable humanitarian supply chain: barriers and their interactions," Annals of Operations Research, Springer, vol. 319(1), pages 721-760, December.
  25. Sharbaf, Maedeh & Bélanger, Valérie & Cherkesly, Marilène & Rancourt, Marie-Ève & Toglia, Giovanni Michele, 2025. "Risk-based shelter network design in flood-prone areas: An application to Haiti," Omega, Elsevier, vol. 131(C).
  26. David Paulus & Ramian Fathi & Frank Fiedrich & Bartel Van Walle & Tina Comes, 2024. "On the Interplay of Data and Cognitive Bias in Crisis Information Management," Information Systems Frontiers, Springer, vol. 26(2), pages 391-415, April.
  27. Wang, Weizhong & Chen, Yu & Wang, Yi & Deveci, Muhammet & Cheng, Shuping & Brito-Parada, Pablo R., 2024. "A decision support framework for humanitarian supply chain management – Analysing enablers of AI-HI integration using a complex spherical fuzzy DEMATEL-MARCOS method," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
  28. Guo Fuli & Cyril Foropon & Ma Xin, 2022. "Reducing carbon emissions in humanitarian supply chain: the role of decision making and coordination," Annals of Operations Research, Springer, vol. 319(1), pages 355-377, December.
  29. Rodolfo Modrigais Strauss Nunes & Susana Carla Farias Pereira, 2022. "Intellectual structure and trends in the humanitarian operations field," Annals of Operations Research, Springer, vol. 319(1), pages 1099-1157, December.
  30. Peiyu Zhang & Yankui Liu & Guoqing Yang & Guoqing Zhang, 2022. "A multi-objective distributionally robust model for sustainable last mile relief network design problem," Annals of Operations Research, Springer, vol. 309(2), pages 689-730, February.
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