QCA and the harnessing of unstructured qualitative data. (28th February 2020)

• Record Type: Journal Article
• Authors: Nishant, Rohit; Ravishankar, M.N.
• Is Part Of: Information systems journal. Volume 30:Number 5(2020)
• Page Start: 845
• Page End: 865
• Publication Date: 2020-02-28
• Subjects: crisp‐set QCA (csQCA) -- green IS -- qualitative IS research -- research methods; Information technology -- Periodicals; Management information systems -- Periodicals; 303.4833
• DOI: 10.1111/isj.12281
• Languages: English
• ISSNs: 1350-1917

Abstract

Abstract: This 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 .