ACM Transactions on Information Systems (TOIS)
Web-based development of complex information products
Communications of the ACM
Building online crisis management support using workflow systems
Decision Support Systems - Special issue on decision support technologies for complex and open organizations
A layered communication architecture for the support of crisis response
Journal of Management Information Systems - Special section: The impacts of business process change on organizational performance
Knowledge and Information Systems
Towards a framework for emergent modeling
ER'10 Proceedings of the 2010 international conference on Advances in conceptual modeling: applications and challenges
NGO collaborations: sharing and pooling projects
Proceedings of the 2011 iConference
Relief work after the 2010 Haiti earthquake: leadership in an online resource coordination network
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Extending the Information-Processing View of Coordination in Public Sector Crisis Response
International Journal of Electronic Government Research
International Journal of Information Systems and Social Change
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Large-scale Humanitarian Assistance/Disaster Relief (HA/DR) operations, particularly in developing countries, require the intervention and aid of various agencies from all over the world in a concerted and timely manner. As a result, HA/DR operations involve dynamic information exchange, planning, coordination and above all negotiation. Although a number of studies have reported the benefits of using information and communication technologies to support negotiation activities, it remains unclear how such technologies could be adapted to large-scale HA/DR operations. This paper examines negotiational issues involved in a multinational HA/DR environment and presents a framework that would help in developing a Global Information Network (GIN). The proposed framework can be used to assess and characterize individual disaster situations so that the GIN functional and design requirements can be accurately identified early. Future implications to GIN architecture are also discussed.