| dc.description.abstract | This research study presents a model for improving adoption of Mobile technology in drought
management for Humanitarian Relief Organizations. It examines how Mobile technologies like
U reporting system, Magic P, Kobo tools and other technologies used by HROs are adopted for
data collection, communication and dissemination. It explores the potentials, challenges and
roles of Mobile technology in drought management. Adopting ICTs in drought management is a
critical but under studied issue. Mobile technology has recognized that, humanitarian ICT
innovation in response to Drought management has the potential that lies in disseminating early
warning messages to populations, and enabling coordination and tracking of relief activities and
resources, records acquisition and management, broadcasting of knowledge and experiences as
well as awareness creation.
Study Findings have however presented it that these relief organizations often lack reliable
information, as well as the inability to ‘make sense’ of the available information within a
complex emergency like Drought. The available information is associated with duplication
reported from different users due to absence of a filtering model. Which usually leads to limited
drought communication and dissemination of innovative enhancements of the existing systems
hence affecting their accessibility, usability and relevance to the semi-illiterate localities whose
only access to Mobile technologies is via mobile phones that are mostly low-end.
In conjunction with the study findings, the research concludes that although the proposed model
to improve mobile technology adoption can improve the efficiency of data collection,
communication and dissemination in drought management, it is not a solution that is effective in
all situations and all places in developing countries like Uganda. Therefore, there is need for
discovering and confirming its ability and effectiveness in improving drought management. In
this regard, further research is needed to test and evaluate this model in live environments of
various complex emergencies | en_US |
