Using Process Mining to Study Business Phenomena
Process Mining is a novel family of automatic analysis technique that extract interesting insights from event log data and projects them onto process models. So far, research on process mining has focused on developing better algorithms to analyze processes. In this talk, we will demonstrate that process mining techniques also bear the potential to study phenomena of organizational science. To this end, we explain the foundations of process mining and show how it can be used to highlight routine dynamics.
Jan Mendling is a Full Professor with the Institute for Information Business at Wirtschaftsuniversität Wien (WU Vienna), Austria. His research interests include various topics in the area of business process management and information systems. He has published more than 350 research papers and articles, among others in ACM Transactions on Software Engineering and Methodology, IEEE Transaction on Software Engineering, Information Systems, Data & Knowledge Engineering, and Decision Support Systems. He is member of the editorial board of seven international journals, member of the board of the Austrian Society for Process Management, one of the founders of the Berlin BPM Community of Practice, organizer of several academic events on process management, and member of the IEEE Task Force on Process Mining. His Ph.D. thesis has won the Heinz-Zemanek-Award of the Austrian Computer Society and the German Targion-Award for dissertations in the area of strategic information management.