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.

中文翻译：

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QCA 和非结构化定性数据的利用

本文提出了定性比较分析 (QCA) 作为一种利用非结构化数据集（例如公开可用的报告和新闻文章）的新方法。它展示了 QCA 和传统的定性 IS 研究如何相互补充。特别是，它展示了定性 IS 研究如何将典型的定性编码技术与特定类型的 QCA，即清晰集 QCA (csQCA) 相结合。该论文说明了 QCA 如何为定性 IS 研究提供一种创新方法来解释与特定结果相关的条件组合。借鉴绿色信息系统的实证研究，它展示了 QCA 利用大型非结构化定性材料的潜力，并对新兴的信息系统现象产生更深入的见解。该论文还强调了 QCA 如何为数据收集做出贡献，