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dc.contributor.authorDeichmann, J. I.en_US
dc.contributor.authorEshghi, A.en_US
dc.contributor.authorHaughton, D.en_US
dc.contributor.authorWoolford, S.en_US
dc.contributor.authorSayek, S.en_US
dc.date.accessioned2016-02-08T10:15:53Z
dc.date.available2016-02-08T10:15:53Z
dc.date.issued2007en_US
dc.identifier.issn1741-1009
dc.identifier.urihttp://hdl.handle.net/11693/23575
dc.description.abstractWith the help of a Kohonen self-organising algorithm, this paper presents a mapping and analysis of the global digital divide along with its main drivers. Several broad groups and subgroups are identified, consisting of countries that are similar in their digital development and in a number of other attributes. We find that the digital divide seems to occur synchronously with divisions in income, social, demographic and infrastructure measures. By examining a large dataset of 160 countries over a short period of three years, we find evidence of both convergence and divergence among the countries over time. We expect these findings to inform the ongoing debate on drivers of the International Digital Divide (IDD). In addition, this paper provides a novel visualisation of the digital divide and its predictors on a two-dimensional grid. Extensions of this work, with the availability of more years of data, could investigate the potential convergence of countries to particular patterns of digital development. © 2007 Inderscience Enterprises Ltd.en_US
dc.language.isoEnglishen_US
dc.source.titleInternational Journal of Knowledge and Learningen_US
dc.relation.isversionofhttp://doi.org/10.1504/IJKL.2007.016833en_US
dc.subjectIDDen_US
dc.subjectInternational digital divideen_US
dc.subjectKohonen mapsen_US
dc.subjectSelf-organising mapsen_US
dc.subjectSOMen_US
dc.titleMeasuring the international digital divide: an application of Kohonen self-organising mapsen_US
dc.typeArticleen_US
dc.departmentDepartment of Economicsen_US
dc.citation.spage552en_US
dc.citation.epage575en_US
dc.citation.volumeNumber3en_US
dc.citation.issueNumber6en_US
dc.identifier.doi10.1504/IJKL.2007.016833en_US
dc.publisherInderscience Publishersen_US


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