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Abstract

Examines the complex relationship between information investment and socio-economic development with special reference to the relevance and appropriateness of the information services offered to developinf countries. Emphasises the importance of cultural relativism in the varying potential of information to influence social development. Proposes a civic networking model which contributes to the empowerment of the people by ensuring that: citizens are provided with free or subsidized access to community (and other) information resources; the local community has a high level of equity/ownership in the design and maintenance of the information system/service; and content is locally negotiated and validated

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Abstract

The present study contributes to the development of integrated models for information behavior and practices at the domain-specific level. To this end, the model for everyday information practices proposed by Savolainen in 2008 is enhanced by integrating the element of information creating, based on Thomson's recent 2018 study. The integration resulted in the expanded model for everyday information practices. Using conceptual analysis, the above model was examined in light of conventional (positivist and post-positivist) and interpretive (social constructivist) criteria for theory assessment. The findings suggest that the integrated model meets best the interpretive criteria such as meaningfulness and understandability, mutuality of concepts and descriptive logic, empirical verifiability, and usefulness. In contrast, theoretical potential of the model is fairly limited when weighed against the conventional criteria, such as generalization and prediction. Overall, the findings suggest that, in its current form, the expanded model cannot be regarded as a "genuine theory" of everyday information practices. However, the model does incorporate many of the qualities characteristic of social scientific theories, and thus exhibits considerable theoretical potential. This is even more so if the interpretive, naturalistic basis of the data in which the expanded model is based is considered.