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DC Field | Value | Language |
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dc.contributor.author | Monaghan, A | - |
dc.contributor.author | Lycett, M | - |
dc.date.accessioned | 2014-05-30T11:31:53Z | - |
dc.date.available | 2014-05-30T11:31:53Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Proceedings of the 3rd IEEE Global Humanitarian Technology Conference (GHTC), San Jose, California, 432 - 437, 2013 | en_US |
dc.identifier.isbn | 978-1-4799-2401-1 | - |
dc.identifier.uri | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6713725 | en |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/8528 | - |
dc.description | This is the author's accepted manuscript. The final published article is available from the link below. Copyright © 2013 IEEE. | en_US |
dc.description.abstract | Billions of US dollars are spent each year in emergency aid to save lives and alleviate the suffering of those affected by disaster. This aid flows through a humanitarian system that consists of governments, different United Nations agencies, the Red Cross movement and myriad non-governmental organizations (NGOs). As scarcer resources, financial crisis and economic inter-dependencies continue to constrain humanitarian relief there is an increasing focus from donors and governments to assess the impact of humanitarian supply networks. Using commercial (`for-profit') supply networks as a benchmark; this paper exposes the counter-intuitive competition dynamic of humanitarian supply networks, which results in an open-loop system unable to calibrate supply with actual need and impact. In that light, the phenomenon of Big Data in the humanitarian field is discussed and an agenda for the `datafication' of the supply network set out as a means of closing the loop between supply, need and impact. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.subject | Big Data | en_US |
dc.subject | Emergency management | en_US |
dc.subject | Open loop systems | en_US |
dc.subject | Supply chains | en_US |
dc.title | Big data and humanitarian supply networks: Can Big Data give voice to the voiceless? | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | http://dx.doi.org/10.1109/GHTC.2013.6713725 | - |
pubs.organisational-data | /Brunel | - |
pubs.organisational-data | /Brunel/Brunel Active Staff | - |
pubs.organisational-data | /Brunel/Brunel Active Staff/School of Info. Systems, Comp & Maths | - |
pubs.organisational-data | /Brunel/Brunel Active Staff/School of Info. Systems, Comp & Maths/IS and Computing | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups/Centre for Information Systems Research | - |
Appears in Collections: | Publications Computer Science Dept of Computer Science Research Papers |
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Fulltext.pdf | 608.18 kB | Adobe PDF | View/Open |
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