2010
DOI: 10.1108/14779961011024837
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A human environmentalist approach to diffusion in ICT policies

Abstract: Purpose -Through an evaluation of the information technology (IT) adoption and diffusion models and the free and/or open source policy of the South African Government, the underlying assumption is that the developmental divide between those with and those without access to technology is purely technical. This paper aims to illustrate that if Free and/or Open Source Software is to be used as a building block to bridge the "digital divide" a more social and environmental perspective, which embraces the philosoph… Show more

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Cited by 9 publications
(7 citation statements)
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“…The limitation of mechanistic causal relationships to socially construct IT adoption in organizations is the failure to understand the human environment and organizational context [14]. In order for IT adoption to be successful there is a need for social and environmental perspectives to complement technical perspectives [42]. IT adoption processes need to be based on social-technical adoption models instead of a technological linear phenomenon [42].…”
Section: Diffusion Of Innovation (Doi) Theorymentioning
confidence: 99%
See 4 more Smart Citations
“…The limitation of mechanistic causal relationships to socially construct IT adoption in organizations is the failure to understand the human environment and organizational context [14]. In order for IT adoption to be successful there is a need for social and environmental perspectives to complement technical perspectives [42]. IT adoption processes need to be based on social-technical adoption models instead of a technological linear phenomenon [42].…”
Section: Diffusion Of Innovation (Doi) Theorymentioning
confidence: 99%
“…In order for IT adoption to be successful there is a need for social and environmental perspectives to complement technical perspectives [42]. IT adoption processes need to be based on social-technical adoption models instead of a technological linear phenomenon [42].…”
Section: Diffusion Of Innovation (Doi) Theorymentioning
confidence: 99%
See 3 more Smart Citations