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Demystifying dark data characteristics in small and medium enterprises: a malaysian experience

Author(s)
AHMAD FUZI AJIS Faculty of Information Management,Universiti Teknologi MARA,Malaysia
SOHAIMI ZAKARIA Faculty of Information Management,Universiti Teknologi MARA,Malaysia
ABDUL RAHMAN AHMAD Faculty of Information Management,Universiti Teknologi MARA,Malaysia
Abstract
The paper reports a study on the dark data phenomenon experienced by Small & Medium Enterprise in Malaysia in relation to characteristics of dark data from SME perspectives. Qualitative research was conducted upon 13 cases which derived from the Inductive Grounded & Emergent Theory Sampling, implemented to identify appropriate samples for the study. Data was collected using semi-structured interviews which were recorded, transcribed, and analyzed using the Grounded Theory Methodology. The research findings highlighted the characteristics and types of dark data typically resides in SME repositories. The study further shows that the field is lacking in literature on dealing with dark data which depicts dark data epistemology are still evolving. Thus, based on Malaysian SMEs' experience a theory was suggested to demystify dark data management.
Publication Details
Page(s) 1525-1535
DOI DOI not available
Published Journal: Journal of Theoretical and Applied Information Technology, Volume: 100, Issue: 5, Year: 2022

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Keywords
Malaysia, Dark Data Management, Grounded Theory, Dark Data Characteristics, Dark Data Types
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