ISJ RA 2044 R2_Submission.docx (565.4 kB)
QCA and the harnessing of unstructured qualitative data
journal contribution
posted on 2020-01-14, 13:27 authored by R Nishant, M.N. RavishankarThis paper proposes qualitative comparative analysis (QCA) as a novel method to harness unstructured data sets such as publicly available reports and news articles. It shows how QCA and conventional qualitative IS research can complement each other. In particular, it demonstrates how qualitative IS research can combine typical qualitative coding techniques with a specific type of QCA, namely crisp-set QCA (csQCA). The paper illustrates how QCA offers qualitative IS research an innovative approach to explicate the combination of conditions associated with particular outcomes. Drawing on an empirical study of green IS, it showcases the potential of QCA to harness large unstructured qualitative material and generate deeper insights about emerging IS phenomena. The paper also highlights how QCA can contribute to the data collection, and analysis stages of qualitative IS research.
History
School
- Business and Economics
Department
- Business
Published in
Information Systems JournalVolume
30Issue
5Pages
845-865Publisher
WileyVersion
- AM (Accepted Manuscript)
Rights holder
© John Wiley & Sons LtdPublisher statement
This is the peer reviewed version of the following article: NISHANT, R. and RAVISHANKAR, M.N., 2020. QCA and the harnessing of unstructured qualitative data. Information Systems Journal, 30(5), pp. 845-865, which has been published in final form at https://doi.org/10.1111/isj.12281. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.Acceptance date
2020-01-14Publication date
2020-02-28Copyright date
2020ISSN
1350-1917eISSN
1365-2575Publisher version
Language
- en