Start Date
11-8-2016
Description
Process research often involves collecting qualitative data over a multi-year period. Making sense of a large body of qualitative data is a daunting task for researchers new to process research. We present a framework for interpreting raw process data, writing a case history, applying theory to the case, and identifying patterns. We have found this a useful and understandable approach to theorizing from process data. We present a detailed example of how we applied this approach using an example case.
Recommended Citation
Olsen, Tim, "Theorizing and Data Analysis in Qualitative Process Research" (2016). AMCIS 2016 Proceedings. 5.
https://aisel.aisnet.org/amcis2016/Phil/Presentations/5
Theorizing and Data Analysis in Qualitative Process Research
Process research often involves collecting qualitative data over a multi-year period. Making sense of a large body of qualitative data is a daunting task for researchers new to process research. We present a framework for interpreting raw process data, writing a case history, applying theory to the case, and identifying patterns. We have found this a useful and understandable approach to theorizing from process data. We present a detailed example of how we applied this approach using an example case.