To explain the sociomaterial character of behavior in OC, and to provide insights into complex interactions between humans and technologies, pattern-oriented approaches are needed for studying the entanglement of human activities and digital technologies in OC. A behavioral sequencing analysis allows one to capture the temporal interactions between users and technologies at the micro-leveland understand how particu-lar events trigger behavior. In addition, it also allows one to consider similarities across users and among subpopulations. Recently, genetic computation has entered the field of organi-zational studies and innovation[16]. However, it has not been applied to the phenomenon of OC. One possible approach is to identify routine activities via low entropy measures, as well as highly dynamic activities via high entry measures to iden-tify highly dynamic roles and patterns that are enacted in the moment.