Abstract
Qualitative data analysis plays a critical role in academic research. Open, axial, and selective (OAS) coding techniques are widely associated with qualitative data analysis in information systems (IS) research. Therefore, this paper aims to examine the usage of OAS coding techniques and is based on reviewing and analyzing 96 published IS studies that have operationalized the techniques. This research follows the structural steps taken in content analysis in order to select, review and analyze relevant literature. The research is intended to contribute to the IS research community by classifying the papers analyzed against the different activities for operationalizing OAS coding. Our analysis shows that the use of coding by IS scholars has increased in recent years. However, we also find that there has been some vagueness in describing how the OAS coding techniques are executed within our highest quality IS research outputs.
Recommended Citation
Alhassan, Ibrahim; Sammon, David; Daly, Mary; Wibisono, Arif; Kasraian, Laleh; Nagle, Tadhg; Heavin, Ciara; Dennehy, Denis; Zamani, Efpraxia; and Qaffas, Alaa, "THE USE OF OPEN, AXIAL AND SELECTIVE CODING TECHNIQUES: A LITERATURE ANALYSIS OF IS RESEARCH" (2023). UK Academy for Information Systems Conference Proceedings 2023. 20.
https://aisel.aisnet.org/ukais2023/20