2012
DOI: 10.1016/j.giq.2011.03.004
|View full text |Cite
|
Sign up to set email alerts
|

Gender and digital divide 2000–2008 in two low-income economies in Sub-Saharan Africa: Kenya and Somalia in official statistics

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
21
1

Year Published

2012
2012
2021
2021

Publication Types

Select...
5
4

Relationship

0
9

Authors

Journals

citations
Cited by 42 publications
(22 citation statements)
references
References 16 publications
0
21
1
Order By: Relevance
“…Also, we seek to identify the factors that explain the DGD in the region. As Hafkin and Huyer () correctly observed some years ago (see also United Nations, : 20), the situation has not changed appreciably since then (Brännström, ), while the DGD continues to attract considerable popular interest and commentary, passionate theorizing and sweeping policy prescriptions based largely on anecdotal evidence and a narrative encapsulated within the male worldview of the role of ICTs (United Nations, ), like many other endemic puzzles in Africa, systematic scholarly treatment has not kept pace, primarily because of data limitations. Where data are available at all (e.g., Intel, ), they are frequently confined to macro‐level records which preclude disaggregation and micro‐level analysis of the type we report here (see Deen‐Swarra et al., 2012 for an important exception).…”
Section: Introductionmentioning
confidence: 99%
“…Also, we seek to identify the factors that explain the DGD in the region. As Hafkin and Huyer () correctly observed some years ago (see also United Nations, : 20), the situation has not changed appreciably since then (Brännström, ), while the DGD continues to attract considerable popular interest and commentary, passionate theorizing and sweeping policy prescriptions based largely on anecdotal evidence and a narrative encapsulated within the male worldview of the role of ICTs (United Nations, ), like many other endemic puzzles in Africa, systematic scholarly treatment has not kept pace, primarily because of data limitations. Where data are available at all (e.g., Intel, ), they are frequently confined to macro‐level records which preclude disaggregation and micro‐level analysis of the type we report here (see Deen‐Swarra et al., 2012 for an important exception).…”
Section: Introductionmentioning
confidence: 99%
“…It was, therefore, suggested that solving the problem of the digital divide is just accommodating access to ICT. Ignoring that access is only the first step, and there is no guarantee of continued use [39,40]. However, when the researchers began to go beyond the access differences, the original definition declined and the concept of the digital divide was extended [38].…”
Section: Digital Divide Concept and Prior Researchmentioning
confidence: 99%
“…This moderate preference for virtual concepts was based on the assumption that these provide better potential for up-scaling of the use of such concepts. However, the use of digital interactive media presumes access to such media that may not be available globally (DiMaggio et al 2001, Fuchs and Horak 2008, Brännström 2012. Easily reproducible physical interaction concepts (Oujia Drawing) might be better to achieve scale in such conditions.…”
Section: Overviewmentioning
confidence: 99%