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Challenges in Collecting Qualitative Data for Information Systems Studies

Challenges in Collecting Qualitative Data for Information Systems Studies
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Author(s): Tiko Iyamu (Cape Peninsula University of Technology, South Africa) and Irja Naambo Shaanika (Namibia University of Science and Technology, Namibia)
Copyright: 2019
Pages: 12
Source title: Advanced Methodologies and Technologies in Library Science, Information Management, and Scholarly Inquiry
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-5225-7659-4.ch019

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Abstract

In recent years, there has been a shift towards understanding why things happen in the way that they do from the qualitative perspectives. However, the qualitative methods are sometimes considered either too trivial or difficult by many postgraduate students. This is attributed to the fact that there is a lack of formula or specific procedure in the application of the methods, which manifest from its subjective nature. The subjectivism makes it even more difficult during data collection and analysis, mainly because it requires special skills and knowledge to interrogate the subject within context. Many postgraduate students fall short in their attempts to exhume quality and rich data from the participants in their natural settings as they develop, implement, use, and interact with systems. This is the main reason why two empirical studies of the same objectives could possibly produce different results.

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