Internet adoption and usage patterns in Africa: Evidence from Cameroon.

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Title: Internet adoption and usage patterns in Africa: Evidence from Cameroon.
Authors: Penard, Thierry1, Poussing, Nicolas2, Mukoko, Blaise3, Tamokwe Piaptie, Georges Bertrand4 tamokwe@yahoo.fr
Source: Technology in Society. Aug2015, Vol. 42, p71-80. 10p.
Subject Terms: *Computer users, *Leisure, Internet, Pattern recognition systems
Geographic Terms: Cameroon
Abstract: The objective of this paper is to understand what factors stimulate or hinder the adoption and usage of the Internet in Africa. We adopt a micro-econometric approach and use household survey data from Cameroon. Our results show that young and educated individuals are more likely to use the Internet in Cameroon. The probability of using the Internet is also higher for male, as well as for English-speaking and computer savvy individuals. Moreover, Internet users are more likely to have family abroad. We also find that Internet usage patterns differ across gender, age and education. For instance, older generations are less likely to use the Internet as a leisure activity (video, game, music). College educated people are also more likely to go online to search information than to have entertainment usage. These results provide evidence of digital divide in the Internet access, but also in the usage patterns on the African continent in particular in African countries that are at the early stages of Internet diffusion. [ABSTRACT FROM AUTHOR]
Copyright of Technology in Society is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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An: 109179345
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  Data: Internet adoption and usage patterns in Africa: Evidence from Cameroon.
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  Data: <searchLink fieldCode="JN" term="%22Technology+in+Society%22">Technology in Society</searchLink>. Aug2015, Vol. 42, p71-80. 10p.
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  Data: *<searchLink fieldCode="DE" term="%22Computer+users%22">Computer users</searchLink><br />*<searchLink fieldCode="DE" term="%22Leisure%22">Leisure</searchLink><br /><searchLink fieldCode="DE" term="%22Internet%22">Internet</searchLink><br /><searchLink fieldCode="DE" term="%22Pattern+recognition+systems%22">Pattern recognition systems</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Cameroon%22">Cameroon</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The objective of this paper is to understand what factors stimulate or hinder the adoption and usage of the Internet in Africa. We adopt a micro-econometric approach and use household survey data from Cameroon. Our results show that young and educated individuals are more likely to use the Internet in Cameroon. The probability of using the Internet is also higher for male, as well as for English-speaking and computer savvy individuals. Moreover, Internet users are more likely to have family abroad. We also find that Internet usage patterns differ across gender, age and education. For instance, older generations are less likely to use the Internet as a leisure activity (video, game, music). College educated people are also more likely to go online to search information than to have entertainment usage. These results provide evidence of digital divide in the Internet access, but also in the usage patterns on the African continent in particular in African countries that are at the early stages of Internet diffusion. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Technology in Society is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.techsoc.2015.03.004
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      – Code: eng
        Text: English
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        Type: general
      – SubjectFull: Leisure
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      – SubjectFull: Internet
        Type: general
      – SubjectFull: Pattern recognition systems
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      – SubjectFull: Cameroon
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              Text: Aug2015
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