Reference health

The potential of emergent disruptive technologies for humanitarian supply chains: the integration of blockchain, Artificial Intelligence and 3D printing

https://doi.org/10.1080/00207543.2020.1761565
CiteStamped reference-health badge
1 of 90 checkable references need attention · checked 2026-08-03

At the dated check, the references listed below either did not resolve in Crossref or DataCite, or carried a retraction notice. Each one is shown with the registry record that put it there.

35 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

References needing attention

does not resolve to a known work10.5465/amr.1989.4308385
The 89 checked references that resolve
resolves10.1016/j.future.2017.03.014
Cognitive routing protocol for disaster-inspired Internet of Things
resolves10.5194/nhess-13-2707-2013
Resilience and disaster risk reduction: an etymological journey
resolves10.1561/0200000014
Humanitarian Logistics: A New Field of Research and Action
resolves10.1111/jfr3.12232
Development of predictive model for flood routing using genetic expression programming
resolves10.1080/00207543.2018.1530476
Supply chain risk management and artificial intelligence: state of the art and future research directions
resolves10.1002/joom.1053
On the economics of additive manufacturing: Experimental findings
resolves10.1016/j.robot.2017.09.014
Collaborative online planning for automated victim search in disaster response
resolves10.1080/00207543.2018.1442943
A framework for designing supply chain disruptions management considering productive systems and carrier viewpoints
resolves10.1080/00207543.2011.563827
Organisational resilience: development of a conceptual framework for organisational responses
resolves10.1016/j.technovation.2018.05.002
Effective use of 3D printing in the innovation process
resolves10.1016/j.jom.2016.05.012
Designing an efficient humanitarian supply network
resolves10.1007/s11069-012-0533-6
Storm surge prediction with management information systems: A case study of estimating value and observations system
resolves10.1016/j.ijpe.2017.03.024
Drones for disaster response and relief operations: A continuous approximation model
resolves10.15219/em77.1392
Digitalization and Competitiveness in the Logistics Service Industry
resolves10.1007/s10694-019-00819-7
Human-Like Sequential Learning of Escape Routes for Virtual Reality Agents
resolves10.1016/j.autcon.2017.12.031
Applications of additive manufacturing in the construction industry – A forward-looking review
resolves10.1109/MC.2018.3620971
AI and Blockchain: A Disruptive Integration
resolves10.1080/00207543.2019.1629668
Optimisation of the aggregation and execution rates for intersecting operation sets: an example of machining process design
resolves10.1109/MIS.2013.55
Parallel Experiment for Urban Rail Emergency Evacuation: An Approach for Hub Identification
resolves10.1108/09653560310474214
Emergent phenomena and the sociology of disaster: lessons, trends and opportunities from the research literature
resolves10.1080/00207543.2017.1378958
Involvement in emergency supply chain for disaster management: a cognitive dissonance perspective
resolves10.1111/poms.12107
Improving Humanitarian Operations through Technology‐Enabled Collaboration
resolves10.1016/j.nepr.2013.08.017
Virtual reality disaster training: Translation to practice
resolves10.1038/nature14542
Science, technology and the future of small autonomous drones
resolves10.1080/00207543.2015.1115909
Additive manufacturing technologies: state of the art and trends
resolves10.1080/00207543.2017.1395491
The future of manufacturing systems engineering
resolves10.1080/00207543.2017.1414330
The social preferences of local citizens and spontaneous volunteerism during disaster relief operations
resolves10.1061/(ASCE)NH.1527-6996.0000113
Material Convergence: Important and Understudied Disaster Phenomenon
resolves10.1108/SCM-10-2013-0387
Digital manufacturing-driven transformations of service supply chains for complex products
resolves10.1016/j.dss.2018.03.004
Business social media analytics: Characterization and conceptual framework
resolves10.1016/j.procs.2016.09.074
Internet of Things, Blockchain and Shared Economy Applications
resolves10.1016/j.bushor.2018.08.004
Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence
resolves10.1016/j.jom.2014.03.004
Renaissance of case research as a scientific method
resolves10.1016/j.compind.2013.07.008
Additive manufacturing in the spare parts supply chain
resolves10.1109/MIS.2019.2917443
Relevancy Identification Across Languages and Crisis Types
resolves10.1108/09600030710734820
Humanitarian logistics in disaster relief operations
resolves10.1108/09600030910985848
Identifying challenges in humanitarian logistics
resolves10.1016/j.ijpe.2013.11.002
Investing in disaster management capabilities versus pre-positioning inventory: A new approach to disaster preparedness
resolves10.1016/j.ejor.2018.01.050
Effect of exit placement on evacuation plans
resolves10.1016/j.autcon.2016.08.026
Additive construction: State-of-the-art, challenges and opportunities
resolves10.1016/j.worlddev.2013.01.016
On The Choice and Impacts of Innovative International Food Assistance Instruments
resolves10.1016/j.chb.2016.05.080
Crisis communication, learning and responding: Best practices in social media
resolves10.1016/j.compind.2019.04.011
Building a digital twin for additive manufacturing through the exploitation of blockchain: A case analysis of the aircraft industry
resolves10.1080/00207543.2016.1211340
Stochastic optimisation model for integrated decisions on relief supply chains: preparedness for disaster response
resolves10.1016/0004-3702(77)90013-3
Artificial intelligence—A personal view
resolves10.1016/j.engappai.2014.07.022
A new hybrid evolutionary based RBF networks method for forecasting time series: A case study of forecasting emergency supply demand time series
resolves10.1007/978-3-642-19309-5_55
Cosine Similarity Metric Learning for Face Verification
resolves10.1177/0165551515617393
Topic modelling for qualitative studies
resolves10.1109/MIS.2013.39
Artificial Intelligence and Big Data
resolves10.1108/13598540610652492
Humanitarian aid: an agile supply chain?
resolves10.1016/j.trb.2018.08.002
Post-disaster assessment routing problem
resolves10.1016/j.jclepro.2016.03.059
The role of Big Data in explaining disaster resilience in supply chains for sustainability
resolves10.1080/00207540903479786
Additive layered manufacturing: sectors of industrial application shown through case studies
resolves10.1007/978-3-030-20257-6_31
Enhancing Disaster Response for Hazardous Materials Using Emerging Technologies: The Role of AI and a Research Agenda
resolves10.1016/j.ijinfomgt.2018.05.004
Big data analytics for disaster response and recovery through sentiment analysis
resolves10.4135/9781412986274
The Qualitative Researcher's Companion
resolves10.1108/IJOPM-03-2017-0151
Decision-making and operations in disasters: challenges and opportunities
resolves10.1016/j.ijpe.2018.07.023
Dynamic formulation for humanitarian response operations incorporating multiple organisations
resolves10.1080/00207543.2018.1533261
Blockchain technology and its relationships to sustainable supply chain management
resolves10.1080/00207543.2013.775523
Rolling horizon planning in supply chains: review, implications and directions for future research
resolves10.1016/j.ssci.2010.05.008
Learning from Tabasco’s floods by applying MORT
resolves10.1108/DPM-11-2013-0197
The impact of Mean Time Between Disasters on inventory pre-positioning strategy
resolves10.1016/j.clsr.2017.11.008
Copyright in the blockchain era: Promises and challenges
resolves10.3390/technologies6010030
Development of a Resilient 3-D Printer for Humanitarian Crisis Response
resolves10.4018/ijiscram.2014010102
Risk Reduction in Natural Disaster Management Through Information Systems
resolves10.1111/j.1467-7717.2008.01053.x
Corruption in emergency procurement
resolves10.1080/00207543.2018.1477260
On- and offshore prepositioning and delivery mechanism for humanitarian relief operations
resolves10.1109/MIS.2019.2918245
Using Social Media to Detect Socio-Economic Disaster Recovery
resolves10.1016/j.tre.2017.05.008
Social media data analytics to improve supply chain management in food industries
resolves10.1109/MCOM.2016.7432144
Next generation public safety networks: A spectrum sharing approach
resolves10.1080/00207543.2017.1416203
Supply chain flexibility and operations optimisation under demand uncertainty: a case in disaster relief
resolves10.1080/00207543.2016.1192302
Distributed manufacturing: scope, challenges and opportunities
resolves10.1016/j.cageo.2008.03.003
An intelligent simulation system for earthquake disaster assessment
resolves10.1108/JHLSCM-01-2014-0006
Three dimensional printing – a key tool for the humanitarian logistician?
resolves10.1108/09653561111111054
Towards a humanitarian logistics knowledge management system
resolves10.1016/j.jnca.2013.10.002
Unmanned aerial vehicle-aided communications system for disaster recovery
resolves10.1057/palgrave.jors.2602125
Humanitarian aid logistics: supply chain management in high gear
resolves10.1108/01443570210414329
Case research in operations management
resolves10.1016/j.indmarman.2019.09.004
Cross-border e-commerce firms as supply chain integrators: The management of three flows
resolves10.1080/00207543.2018.1516905
IoT-enabled cloud-based additive manufacturing platform to support rapid product development
resolves10.1111/disa.12160
The orientation of disaster donations: differences in the global response to five major earthquakes
resolves10.1016/j.ijpe.2015.02.020
Economic implications of 3D printing: Market structure models in light of additive manufacturing revisited
resolves10.1007/978-1-4419-9890-3_8
Descriptive and Predictive Analytics
resolves10.1080/00207543.2019.1612964
Logistics 4.0: a systematic review towards a new logistics system
resolves10.1504/IJMED.2011.044636
RFID technology in emergency logistics: an exploratory study
resolves10.1080/00207543.2018.1444806
Industry 4.0: state of the art and future trends
resolves10.3390/ijgi7060215
Construction and Optimization of Three-Dimensional Disaster Scenes within Mobile Virtual Reality
resolves10.2307/2392599
The Case Study Crisis: Some Answers
resolves10.1016/j.ejor.2016.06.045
Supply chain coordination with information sharing: The informational advantage of GPOs
The 35 references without a DOI — listed, not checked
no DOI — not checkedAkilo, David. “U.S. Military Explores Blockchain for Disaster Relief.” Accessed March 31 2019. https://businessblockchainhq.com/business-blockchain-news/us-military-explores-blockchain-for-disaster-relief/.
no DOI — not checkedCIT0009
no DOI — not checkedCENAPRED. 2014. “Information request #0413000000214.” In: Centro Nacional para la Prevención de Desastres.
no DOI — not checkedCEPAL. 2008. “Tabasco: Características e impacto socioeconómico de las inundaciones provocadas a finales de octubre y a comienzos de noviembre de 2007 por el frente frío número 4.” In, edited by ECLAC, 231. CEPAL, SEGOB, Gobierno_del_Estado_de_Tabasco, Comisión_Económica_para_Latin_América_y_el_Caribe, CENAPRED.
no DOI — not checkedSupply Chain Management for Humanitarians: Tools for Practice
no DOI — not checked“Advanced Search
no DOI — not checked“Advanced Search
no DOI — not checkedDeparday, Vivien, Caroline Margaux Gevaert, Giuseppe Maria Molinario, Robert John Soden, and Simone Andrea Breunig Balog-Way. 2019. “Machine Learning for Disaster Risk Management.” In.: World Bank.
no DOI — not checkedDICONSA. 2014. “FOI_#2015000003714.” In. Mexico.
no DOI — not checkedDICONSA. 2017a. “FOI 2015000010117.” In. Mexico.
no DOI — not checkedDICONSA. 2017b. “FOI_2015000011517.” In. Mexico.
no DOI — not checkedDudley, Althaus. 2007. “TROUBLE IN TABASCO; Flood Relief Efforts Stall Under the Weight of Political Baggage; Bickering Parties Impeding Supplies in Some Areas.” In, 19.
no DOI — not checkedFONDEN. “Insumos autorizados por declaratoria de emergencia 2007.” Accessed June 19 2015. http://www.proteccioncivil.gob.mx/en/ProteccionCivil/2007.
no DOI — not checkedFONDEN. “Insumos autorizados por declaratoria de emergencia “Insumos autorizados por declaratoria de emergencia 2007 “, Accessed December 7 2012. http://www.proteccioncivil.gob.mx/en/ProteccionCivil/2007.
no DOI — not checkedGarcía, Norlang, Rafael Marín, and Karla Méndez. 2009. Características e impacto socioeconómico de los principales desastres ocurridos en la república Mexicana en el año 2007. Edited by CENAPRED, Impacto socioeconómico de los desastres en México. Mexico, D.F.: CENAPRED.
no DOI — not checkedINEGI. 2010. “SCINCE versión 05/2012 para escritorio.” In.
no DOI — not checkedUnidad de Acceso a la Información, 2
no DOI — not checkedJones, S. 2015. “When Disaster Strikes, it’s Time to Fly in the 3D Printers.” The Guardian.
no DOI — not checkedCIT0051
no DOI — not checkedCIT0061
no DOI — not checkedEl Universal
no DOI — not checkedParkin, N. 2017. “Doctors Turn to 3D Printing to Source Medical Supplies in Earthquake-Recovering Nepal.” ABC News.
no DOI — not checkedInformation Request #06401914
no DOI — not checkedCIT0080
no DOI — not checkedSchatsky, David, and Craig Muraskin. 2015. “Beyond Bitcoin. Blockchain is coming to disrupt your industry. ” Deloitte Insights.
no DOI — not checkedSEDENA. 2014. “FOI_0000700106513.” In.: Secretaría de la Defensa Nacional.
no DOI — not checkedSEGOB. 2012. “ACUERDO que establece los Lineamientos del Fondo para la Atención de Emergencias FONDEN.” In, 30.
no DOI — not checkedSEMAR. 2007. “Comunicado de Prensa 148/2007.” In, 2.
no DOI — not checkedInformation Request #0001300043214
no DOI — not checkedSRE. 2014. “Information request #0000500088214.” In.: Secretaría de relaciones Exteriores.
no DOI — not checkedCIT0104
no DOI — not checkedWachtendorf, T., and J. M. Kendra. 2004. “Considering Convergence, Coordination, and Social Capital in Disasters.” In Canadian Risk and Hazards Networks 1st Annual Symposium. Winnipeg, Manitoba: Disaster Research Center 2004.
no DOI — not checkedCIT0116
no DOI — not checkedWolfson, Rachel. 2018. “Binance Charity Foundation Launches Blockchain Donation Portal At UNCTAD World Investment Forum.” In Forbes.
no DOI — not checkedCase Study Research and Applications: Design and Methods
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

checked 2026-08-03 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record

Embed this badge

Both snippets point at the live badge image and link back to this page. The badge re-renders from the daily check, so an embed never goes stale by more than a day of visits.

<a href="https://citestamp.com/citestamped/10.1080/00207543.2020.1761565"><img src="https://citestamp.com/citestamped/10.1080/00207543.2020.1761565/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[![CiteStamped reference-health badge](https://citestamp.com/citestamped/10.1080/00207543.2020.1761565/badge.svg)](https://citestamp.com/citestamped/10.1080/00207543.2020.1761565)