Empirical Research in Process Mining
The area is currently delving into different aspects of process mining, including carrying out qualitative and quantitative research on how people interact with process mining tools, as well as examining how process mining influences the organizational structure, culture, and management.
Important Dates
- Abstract Submission: August 8 August 15, 2024
- Papers Submission: August 15 August 22, 2024
- Paper Acceptance Notification: September 9 September 13, 2024
- Pre-workshop Camera-Ready Papers: September 23, 2024
- Workshop Date: October 14, 2024
- Post-workshop Camera-Ready Papers: October 29, 2024
Program
The Program is Now Available!
The workshop will be held in Room 10. For more info on how to find a room, please follow the instructions on the following link
Accepted Papers
The following is a list of accepted papers
- Lital Shalev, Irit Hadar, Rotem Dror, Adir Solomon, Elizaveta Sorokina, Michal Weisman Raymond and Pnina Soffer. Using Facial Expressions to Predict Process Mining Task Performance — Link to Paper
- Jacques Trottier, William Van Woensel, Xiaoyang Wang, Kavya Mallur, Najah Mary El-Gharib and Daniel Amyot. Using Process Mining with Pre- and Post-Intervention Analysis to Improve Digital Service Delivery: A Governmental Case Study — Link to Paper
- Marie-Christin Häge and Jana-Rebecca Rehse. A Taxonomy for Conformance Checking Visualizations — Link to Paper
- Henning Nusch, Martina Navratilova, Ralf Plattfaut, Till Haumann and André Coners. Leveraging Process Mining for Enhanced Efficiency in German Utilities: Insights and from a Qualitative Study (Lessons Learned) — Link to Paper
- Jessica Van Suetendael, Benoît Depaire, Mieke Jans and Niels Martin. Towards an Ethogram of Exploratory Process Mining Behavior — Link to Paper
- Jan Mendling, Mieke Jans and Kristina Sahling. Structuring Empirical Research on Process Mining at the Individual Level using the Theory of Effective Use — Link to Paper
- Francesca Meneghello, Massimiliano Ronzani, Massimo Coletti, Chiara Di Francescomarino, Chiara Ghidini and Debora Di Marco. Analysing and Improving Business Processes through Hybrid Simulation Model: a Case Study — Link to Paper
- Dina Kretzschmann, Alessandro Berti and Wil M.P. van der Aalst. An Object-Centric Data Model for Assessing Inventory Management in Retail Companies (Lessons Learned) — Link to Paper
- Felix Rothhagen, Felix Kerst, Eduard Kant Mandal, Candan Cetin and Carolin Ullrich. Leveraging Process Mining on the Shop Floor: An Exploratory Study — Link to Paper
Call For Papers
1st Workshop on Empirical Research in Process Mining (ERPM)
We are excited to announce the 2024 Workshop on Empirical Research in Process Mining, which will bring together various aspects of empirical process mining research.
Process mining has experienced significant advancements in recent years, evolving into a robust field focused on developing sophisticated algorithms. These developments have been pivotal in automating the extraction of process models from event logs and evaluating the conformity of actual operations to pre-defined models. The use of metrics such as precision and recall has become standard in assessing the technical accuracy of these algorithms. This technical progress has led to a heightened focus on the quantitative aspects of process analysis, often overshadowing other equally important dimensions.
However, an emerging area of research within the process mining community is gaining momentum, characterized by its empirical nature. This new direction recognizes the multifaceted aspects of process mining, moving beyond a sole focus on algorithmic development and technical accuracy. The field is now exploring various dimensions of process mining, such as conducting qualitative and quantitive studies on human-computer interactions with process mining tools or organizational dimensions studying the effects of process mining on organizational structure, culture, and management.
Workshop topics include, but are not limited to:
- Qualitative Studies in Process Mining: Exploring in-depth studies (such as case studies, observational studies, and user studies…) and their unique insights and challenges into process mining applications.
- Quantitative Analysis of Process Mining Impact: Investigating the measurable effects of process mining on business efficiency, compliance, and performance.
- Human-Centric Process Mining Approaches: Examining the role of human interaction (end-users, process analysts, and other stakeholders) and intervention in the process mining lifecycle. For example, methodologies and approaches used in process mining projects, including best practices, common challenges, and strategies for effective analysis.
- Organizational Impact Studies: Studying the effects of process mining on organizational structure, culture, and workflow management.
We welcome additional topics that align with the empirical exploration of process mining, aiming to broaden the scope and depth of the discussions in this workshop.
Submission Info
Looking to Submit your work at ERPM? Here you will find all the information you need
Paper Format, Publication, and Submission Guidelines
We will accept two types of submissions:
- Regular paper submissions in English, up to 12 pages (including figures, bibliography, and appendices), and following Springer LNCS/LNBIP guidelines.
- Lessons learned submissions up to 1 page in the form of extended abstract
Authors should clearly outline the paper's relevance to the workshop topics, specifying the addressed problem, goals, achieved results, and its relation to existing research.
Authors should clearly outline the paper's relevance to the interactive session of the workshop and focus on sharing successes, challenges, and ``failed experiments'' to provide the audience with a comprehensive overview of best practices and pitfalls in the field of empirical research in process mining.
All the submissions must be made through the Easychair system
Accepted regular papers will be published by Springer in the Lecture Notes in Business Information Processing (LNBIP) series.
Lessons learned submissions will not be featured in proceedings.
Contact erpm.workshop [at] gmail.com if you have any questions.
Important Dates
All submission deadlines are at 23:59 GMT on the date indicated.
- Abstract Submission: August 8 August 15, 2024
- Papers Submission: August 15 August 22, 2024
- Paper Acceptance Notification: September 9 September 13, 2024
- Pre-workshop Camera-Ready Papers: September 23, 2024
- Workshops: October 14, 2024
- Post-workshop Camera-Ready Papers: October 29, 2024
International Program Committee
Names and affiliations of the workshop program committee
- Iris Beerepoot, Utrecht University
- Hajo Reijers, Utrecht University
- Alexander Nolte, Eindohoven Universit of Technology
- Adela Del Rio Ortega, University of Seville
- Thomas Grisold, University of St. Gallen
- Pnina Soffer, University of Haifa
- Hugo A. Lopez, Technical University of Denmark
- Lisa Zimmermann, University of St. Gallen
- Moe T. Wynn, Queensland University of Technology
- Mieke Jans, University of Hasselt
- Han van der Aa, University of Vienna
- Katrin Figl, University of Innsbruck
- Jan Mendling, Humboldt Universität zu Berlin
- Bastian Wurm, LMU Munich, Germany
- Clemens Schreiber, Karlsruhe Institute of Technology
- Anti Alman, University of Tartu
- Stefanie Rinderle-Ma, Technical University of Munich
- Jana Rehse, University of Mannheim
Team
Workshop Organizers
Djordje Djurica
Assistant Professor at WU Wien Product Management Consultant at BOC Group
Kateryna Kubrak
Junior Research Fellow at University of Tartu
Francesca Zebrato
Assistant Professor at Technical University of Eindhoven