Digital artifacts increasingly support actors in carrying out organizational routines. These artifacts leave digital trace data, that is time-stamped information about what actions actors perform. While extant research on routines largely builds on qualitative methods, the prevalence of trace data opens up novel methodological opportunities. However, several challenges currently hinder the adoption of trace data in empirical routine dynamics research. Promising approaches, such as process mining, are per-se neither designed for nor sensitive to the concept of organizational routines. In this paper, we follow a design science research approach to propose design requirements for a design science artifact, which we coin Routines Miner. This artifact is based on process mining algorithms and aims to overcome current challenges. This will enable scholars to capture reality in flight by analyzing routine dynamics as they unfold using a computational, mixed methods research approach.
|Title of host publication||PACIS 2021|
|Place of Publication||Dubai, United Arab Emirates|
|Publisher||AIS Association for Information Systems|
|Pages||1 - 8|
|Publication status||Published - 2021|
Austrian Classification of Fields of Science and Technology (ÖFOS)
- 102015 Information systems