How to Leverage Process Mining in Organizations - Towards Process Mining Capabilities
Process mining is a fast-growing technology concerned with managing and improving business processes. Yet, we are only beginning to understand the managerial and organizational implications of process mining. However, creating such knowledge is essential, not least because process mining often leads to dissatisfaction or discontinuance of use altogether. In practice, process mining is intended to reveal process improvement opportunities and facilitates value creation by enhancing transparency in the organization. Therefore, our tutorial intends to support researchers and practitioners in understanding the managerial and organizational implications of process mining. Specifically, we explore the capabilities associated with process mining on the enterprise level. To this end, we present findings from a qualitative-inductive interview study. We systematically examine the needs and experiences of practitioners with process mining at different levels, including senior executives, senior managers, process analysts, domain experts, and data engineers. This tutorial is relevant for practitioners and researchers working on managerial or technical aspects of process mining. It provides process mining capabilities that empower practitioners to use this technology effectively. For researchers, it gives an overview of how companies perceive opportunities and challenges connected to this technology.
Gregor Kipping is a research assistant at the Institute of Information Systems at the University of Liechtenstein. He completed his Bachelor’s degree in Business Information Systems at the University of Applied Sciences Wuerzburg-Schweinfurt and obtained two Master’s degrees in Information Systems at the Julius Maximilian University of Wuerzburg and the University of Liechtenstein. Gregor examines the role of spatial data in the innovative design and use of socio-technical systems. The use of the design-oriented research paradigm in his studies is intended to help explain existing phenomena and develop innovative artifacts to address relevant real-world problems.
Djordje Djurica is a Teaching and Research Associate at Vienna University of Economics and Business (WU Wien). He received his bachelor's degree in Economics from the University of Novi Sad and a master's degree in Information Systems from WU Wien. Djordje's research is focused on conceptual modeling. In particular, he is interested in human interaction with conceptual models (e.g., business process and decision models) and how such models can be improved by using cognitive effective methods and techniques.
Sandro Franzoi is a research assistant at the University of Liechtenstein. He completed his bachelor’s degree in Business Administration and his master’s degree in Information Systems at the University of Liechtenstein. Sandro’s research revolves around the behavioral aspects of business process management. More specifically, he is interested in the different ways behavior can be influenced to improve process outcomes (e.g., nudging, recommendations, etc.).
Thomas Grisold is an assistant professor with the Institute of Information Systems at the University of Liechtenstein. His research interests revolve around the intersection between BPM and organizational studies. He obtained his Ph.D. from the Vienna University of Economics and Business (WU) where he focused on organizational learning and unlearning. He holds a Master‘s degree in Cognitive Science and a Bachelor’s degree in management. Thomas was a visiting researcher at the Queensland University of Technology (Australia), University of Lancaster (UK), University of Palermo (Italy), and University of Zagreb (Croatia).
Laura Marcus is a research assistant at the University of Applied Sciences Augsburg and the University of Bayreuth. She obtained her bachelor´s degree in Business Administration from the University of Applied Sciences Ingolstadt and a Master´s degree in management from Católica-Lisbon School of Business and Economics. Besides, she has gained several years of practical experience last as Director of Customer Strategy & Operation at the Process Mining vendor Celonis. In her research, she deals with Business process management with a focus on organizational aspects of Process Mining, such as scaling and adoption strategies.
Sebastian Schmid is a research assistant at the University of Bayreuth. He completed his bachelor’s and master’s degree in Business Administration at the University of Bayreuth. His research is located at the intersection of Process Mining and Data Science. More specifically, he focuses on leveraging Machine Learning methods to improve Process Mining outcomes as for example in the domain of event log quality improvement.
Jan Mendling is a Full Professor with the Department of Computer Science at Humboldt-Universität zu Berlin, Germany. His research interests include business process management and information systems. He has published more than 450 research papers and articles, among others in Management Information Systems Quarterly, the Journal of the Association of Information Systems, ACM Transactions on Software Engineering and Methodology, IEEE Transaction on Software Engineering, Information Systems, European Journal of Information Systems, and Decision Support Systems. He is a board member of the Austrian Society for Process Management, one of the founders of the Berliner BPMOffensive, and a member of the IEEE Task Force on Process Mining. He is a co-author of the textbooks Fundamentals of Business Process Management and Wirtschaftsinformatik.
Maximilian Röglinger holds the chair of Information Systems and Business Process Management at the University of Bayreuth and is an Adjunct Professor in the School of Management at Queensland University of Technology. Maximilian also serves as Deputy Academic Director of the Research Center Finance & Information Management (FIM) as well as Deputy Director of Fraunhofer FIT. He also is engaged in a leading position at the Branch Business & Information Systems Engineering of the Fraunhofer FIT. Maximilian’s activities in research and teaching center around customers, business processes, and IT as well as digitalization. He has published in internationally renowned scholarly journals such as Business & Information Systems Engineering, Decision Support Systems, European Journal of Information Systems, Journal of the Association for Information Systems, and Journal of Strategic Information Systems. Maximilian is strongly engaged in publicly and privately funded research projects, in which he contributes to the solution of relevant business problems.
Jan vom Brocke is the head of the Hilti Chair of Business Process Management and director of the Institute of Information Systems at the University of Liechtenstein. He has over 15 years of experience in BPM research, practice, and teaching in various EU member states and beyond. He has published over 300 research papers in the areas of Information Systems and particularly in BPM, among others in MIS Quarterly (MISQ), Journal of Management Information Systems (JMIS), Business Process Management Journal (BPMJ). He is the author and editor of 34 books, including the “International Handbook of Business Process Management” and the books “Business Process Management Cases: Digital Innovation and Business Transformation in Practice” and “Business Process Management: Driving Innovation in a Digital World”. Jan vom Brocke has taught at international universities on Bachelor, Master, Ph.D. and Executive levels, among others, at the University of Muenster (Germany), the University of St. Gallen (Switzerland), The LUISS University of Rome (Italy), the University of Turku (Finland), and the University College Dublin (Ireland). Recently, he received the AIS Award for Innovation in Teaching. From 2014 to 2016 he functioned as Vice-President of Education of the Association for Information Systems (AIS).