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Challenges in Collecting Qualitative Data for Information Systems Studies

Challenges in Collecting Qualitative Data for Information Systems Studies

Tiko Iyamu, Irja Naambo Shaanika
Copyright: © 2018 |Pages: 10
ISBN13: 9781522522553|ISBN10: 1522522557|EISBN13: 9781522522560
DOI: 10.4018/978-1-5225-2255-3.ch389
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MLA

Iyamu, Tiko, and Irja Naambo Shaanika. "Challenges in Collecting Qualitative Data for Information Systems Studies." Encyclopedia of Information Science and Technology, Fourth Edition, edited by Mehdi Khosrow-Pour, D.B.A., IGI Global, 2018, pp. 4480-4489. https://doi.org/10.4018/978-1-5225-2255-3.ch389

APA

Iyamu, T. & Shaanika, I. N. (2018). Challenges in Collecting Qualitative Data for Information Systems Studies. In M. Khosrow-Pour, D.B.A. (Ed.), Encyclopedia of Information Science and Technology, Fourth Edition (pp. 4480-4489). IGI Global. https://doi.org/10.4018/978-1-5225-2255-3.ch389

Chicago

Iyamu, Tiko, and Irja Naambo Shaanika. "Challenges in Collecting Qualitative Data for Information Systems Studies." In Encyclopedia of Information Science and Technology, Fourth Edition, edited by Mehdi Khosrow-Pour, D.B.A., 4480-4489. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-2255-3.ch389

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Abstract

In recent years, there has been 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 fact that there is 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 falls 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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