The Human-Information-Processor Model View of e-Government Full paper
Martin J. Ndicu, Ali Vedadi
Abstract
Martin J. Ndicu, Ali Vedadi
Abstract
Without a universally accepted definition of what e-Government really is, e-Government research has focused on Government e-services; which are but a peripheral part of e-Government. ICT use in provision of Government e-services and the attendant issues are not unique to e-Government; rather, they are part of any other deployment of information systems and technologies. This treatise is a two-level conceptual discussion in which, first, a proposed approach to defining e-Government using the Stimulus-Organism-Response Model is proposed. And second, a representation of e-Government using the Human Information Processor Model is demonstrated. The cognitive mapping of Government functions onto the Human Information Processor model presents new lenses through which a holistic view of e-Government emerges- with the potential of providing a shared cognitive focal view for e-Government research.
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Without a universally accepted definition of what e-Government really is, e-Government research has focused on Government e-services; which are but a peripheral part of e-Government. ICT use in provision of Government e-services and the attendant issues are not unique to e-Government; rather, they are part of any other deployment of information systems and technologies. This treatise is a two-level conceptual discussion in which, first, a proposed approach to defining e-Government using the Stimulus-Organism-Response Model is proposed. And second, a representation of e-Government using the Human Information Processor Model is demonstrated. The cognitive mapping of Government functions onto the Human Information Processor model presents new lenses through which a holistic view of e-Government emerges- with the potential of providing a shared cognitive focal view for e-Government research.
Key concepts: E-Government, Information and Communications Technology, Software deployment, Computer science, Government (linguistics), Cognition, Representation (politics), Responsible government