Addressing critical success factors for improving concurrent emergency management: lessons learned from the COVID-19 pandemic
Author
Abstract
Suggested Citation
DOI: 10.1007/s10479-021-04447-9
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Rameshwar Dubey & Angappa Gunasekaran & David J. Bryde & Yogesh K. Dwivedi & Thanos Papadopoulos, 2020. "Blockchain technology for enhancing swift-trust, collaboration and resilience within a humanitarian supply chain setting," International Journal of Production Research, Taylor & Francis Journals, vol. 58(11), pages 3381-3398, June.
- Rameshwar Dubey & David J. Bryde & Cyril Foropon & Manisha Tiwari & Yogesh Dwivedi & Sarah Schiffling, 2021.
"An investigation of information alignment and collaboration as complements to supply chain agility in humanitarian supply chain,"
International Journal of Production Research, Taylor & Francis Journals, vol. 59(5), pages 1586-1605, March.
- Rameshwar Dubey & David James Bryde & Cyril Foropon & Manisha Tiwari & Yogesh Dwivedi & Sarah Schiffling, 2021. "An investigation of information alignment and collaboration as complements to supply chain agility in humanitarian supply chain," Post-Print hal-03539278, HAL.
- Sayem Ahmed & Hasin Md. Muhtasim Taqi & Yeasir Iqbal Farabi & Mohiuddin Sarker & Syed Mithun Ali & Bathrinath Sankaranarayanan, 2021. "Evaluation of Flexible Strategies to Manage the COVID-19 Pandemic in the Education Sector," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(2), pages 81-105, December.
- Rameshwar Dubey & Angappa Gunasekaran & Thanos Papadopoulos, 2019. "Disaster relief operations: past, present and future," Annals of Operations Research, Springer, vol. 283(1), pages 1-8, December.
- Bai, Chunguang & Sarkis, Joseph, 2013. "A grey-based DEMATEL model for evaluating business process management critical success factors," International Journal of Production Economics, Elsevier, vol. 146(1), pages 281-292.
- Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Roubaud, David & Fosso Wamba, Samuel & Giannakis, Mihalis & Foropon, Cyril, 2019.
"Big data analytics and organizational culture as complements to swift trust and collaborative performance in the humanitarian supply chain,"
International Journal of Production Economics, Elsevier, vol. 210(C), pages 120-136.
- Rameshwar Dubey & Angappa Gunasekaran & Stephen Childe & David Roubaud & Samuel Fosso Wamba & Mihalis Giannakis & Cyril Foropon, 2019. "Big data analytics and organizational culture as complements to swift trust and collaborative performance in the humanitarian supply chain," Post-Print hal-01996486, HAL.
- Rameshwar Dubey & David James Bryde & Cyril Foropon & Gary Graham & Mihalis Giannakis & Deepa Bhatt Mishra, 2020. "Agility in humanitarian supply chain: An organizational information processing perspective and relational view," Post-Print hal-03539292, HAL.
- Mihoko Sakurai & Hameed Chughtai, 2020. "Resilience against crises: COVID-19 and lessons from natural disasters," European Journal of Information Systems, Taylor & Francis Journals, vol. 29(5), pages 585-594, September.
- Zhiwen Liu & Xinguo Ming, 2019. "A framework with revised rough-DEMATEL to capture and evaluate requirements for smart industrial product-service system of systems," International Journal of Production Research, Taylor & Francis Journals, vol. 57(22), pages 7104-7122, November.
- Saileshsingh Gunessee & Nachiappan Subramanian & Samuel Roscoe & Jothibasu Ramanathan, 2018. "The social preferences of local citizens and spontaneous volunteerism during disaster relief operations," International Journal of Production Research, Taylor & Francis Journals, vol. 56(21), pages 6793-6808, November.
- Oloruntoba, Richard, 2010. "An analysis of the Cyclone Larry emergency relief chain: Some key success factors," International Journal of Production Economics, Elsevier, vol. 126(1), pages 85-101, July.
- Wenxin Mao & Wenping Wang & Dang Luo & Huifang Sun, 2019. "Analyzing interactions between risk factors for ice disaster in Ning-Meng reach of Yellow River based on grey rough DEMATEL method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(3), pages 1025-1049, July.
- Abhishek Behl & Pankaj Dutta, 2019. "Humanitarian supply chain management: a thematic literature review and future directions of research," Annals of Operations Research, Springer, vol. 283(1), pages 1001-1044, December.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Vishwas Dohale & Priya Ambilkar & Angappa Gunasekaran & Vijay Bilolikar, 2024. "Examining the barriers to operationalization of humanitarian supply chains: lessons learned from COVID-19 crisis," Annals of Operations Research, Springer, vol. 335(3), pages 1137-1176, April.
- 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.
- 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.
- Rameshwar Dubey & David Bryde & Cyril Foropon & Gary Graham & Mihalis Giannakis & Deepa Bhatt Mishra, 2022. "Agility in humanitarian supply chain: an organizational information processing perspective and relational view," Post-Print hal-03931989, HAL.
- Amir Jamali & Amirhossein Ranjbar & Jafar Heydari & Sina Nayeri, 2022. "A multi-objective stochastic programming model to configure a sustainable humanitarian logistics considering deprivation cost and patient severity," Annals of Operations Research, Springer, vol. 319(1), pages 1265-1300, December.
- Bag, Surajit & Rahman, Muhammad Sabbir & Srivastava, Gautam & Giannakis, Mihalis & Foropon, Cyril, 2023. "Data-driven digital transformation and the implications for antifragility in the humanitarian supply chain," International Journal of Production Economics, Elsevier, vol. 266(C).
- Mamta Mishra & Surya Prakash Singh & Manmohan Prasad Gupta, 2024. "Two phase algorithm for bi-objective relief distribution location problem," Annals of Operations Research, Springer, vol. 335(3), pages 1363-1399, April.
- 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.
- 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.
- Rodríguez-Espíndola, Oscar & Ahmadi, Hossein & Gastélum-Chavira, Diego & Ahumada-Valenzuela, Omar & Chowdhury, Soumyadeb & Dey, Prasanta Kumar & Albores, Pavel, 2023. "Humanitarian logistics optimization models: An investigation of decision-maker involvement and directions to promote implementation," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
- Manjul Gupta & Amin Shoja & Patrick Mikalef, 2022. "Toward the understanding of national culture in the success of non‐pharmaceutical technological interventions in mitigating COVID-19 pandemic," Annals of Operations Research, Springer, vol. 319(1), pages 1433-1450, December.
- Muer Yang & Sameer Kumar & Xinfang Wang & Michael J. Fry, 2024. "Scenario-robust pre-disaster planning for multiple relief items," Annals of Operations Research, Springer, vol. 335(3), pages 1241-1266, April.
- Gupta, Shivam & Modgil, Sachin & Kumar, Ajay & Sivarajah, Uthayasankar & Irani, Zahir, 2022. "Artificial intelligence and cloud-based Collaborative Platforms for Managing Disaster, extreme weather and emergency operations," International Journal of Production Economics, Elsevier, vol. 254(C).
- Paula Camargo Fiorini & Charbel Jose Chiappetta Jabbour & Ana Beatriz Lopes de Sousa Jabbour & Gary Ramsden, 2022. "The human side of humanitarian supply chains: a research agenda and systematization framework," Annals of Operations Research, Springer, vol. 319(1), pages 911-936, December.
- Elmira Farrokhizadeh & Seyed Amin Seyfi-Shishavan & Sule Itir Satoglu, 2022. "Blood supply planning during natural disasters under uncertainty: a novel bi-objective model and an application for red crescent," Annals of Operations Research, Springer, vol. 319(1), pages 73-113, December.
- 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.
- Pravin Kumar & Rajesh Kumar Singh & Azar Shahgholian, 2024. "Learnings from COVID-19 for managing humanitarian supply chains: systematic literature review and future research directions," Annals of Operations Research, Springer, vol. 335(3), pages 899-935, April.
- 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.
- Hasti Seraji & Reza Tavakkoli-Moghaddam & Sobhan Asian & Harpreet Kaur, 2022. "An integrative location-allocation model for humanitarian logistics with distributive injustice and dissatisfaction under uncertainty," Annals of Operations Research, Springer, vol. 319(1), pages 211-257, December.
- Carlos Galera-Zarco & Goulielmos Floros, 2024. "A deep learning approach to improve built asset operations and disaster management in critical events: an integrative simulation model for quicker decision making," Annals of Operations Research, Springer, vol. 339(1), pages 573-612, August.
- Hossein Baharmand & Diego Vega & Matthieu Lauras & Tina Comes, 2022. "A methodology for developing evidence-based optimization models in humanitarian logistics," Annals of Operations Research, Springer, vol. 319(1), pages 1197-1229, December.
More about this item
Keywords
Concurrent emergency management; Critical success factors; COVID-19; Disaster risk; Floods; Revised rough DEMATEL;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:annopr:v:335:y:2024:i:3:d:10.1007_s10479-021-04447-9. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.