Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/10289
Title: The implications of the dimensions of data change for organisations' usefulness
Authors: Nyikana, Wandisa 
Tungela, Nomawethu 
Iyamu, Tiko 
Keywords: Data evolution;Structuration theory;Dimension of social change;Small data;Big data
Issue Date: 2024
Publisher: International Association for Computer Information Systems (IACIS)
Source: Nyikana, W., Tungela, N. & Iyamu, T. 2024. The implications of the dimensions of data change for organisations' usefulness. Issues in Information Systems, 25(3): 342-356.[https://doi.org/10.48009/3_iis_2024_126]
Journal: Issues in Information Systems 
Abstract: The evolution from traditional (small) data to big data has had various dimensional implications in its accumulation and use by organisations. How and why the factors that manifest into the implications occur remain challenging in many quarters. This study sets out to examine and guide an understanding of the implications of the dimensions of data change for organisations' purposes. This study employed the systematic review technique to gather literature about data, from its evolution and theory to practice. The hermeneutics approach is applied in the analysis within the frame of structuration theory's dimension of social change. The analysis reveals the implications of the dimensions of data change from organisations' standpoints. The findings of the study are significant from important points. Firstly, it accounts for the implications which create opportunities to increase the usefulness of data for organisations. Secondly, the study advances the use of dimension of social change from the use of data perspective.
URI: http://hdl.handle.net/11189/10289
ISSN: 1529-7314
DOI: https://doi.org/10.48009/3_iis_2024_126
Appears in Collections:IT - Journal Articles (DHET subsidised)

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