@inproceedings{65547,
  abstract     = {{Process mining proved to be valuable for enabling transparency in business processes and to help to manage the everyday process dynamics. But what about the dynamics of a process mining project itself. In this paper, we present insights of a process mining introduction project spanning two years. For that we analyze the logs of the process mining platform supported by interviews of the developers and participants as part of our case study research. Based on this, our findings indicate four actions that impact a successful process mining project and the underlying dynamics. (1) Two development phases in a test and productive environment can lead to data driven process improvements. (2) Maintenance and the associated technical debt can cause process drift. (3) Scope creep of the project is easily identifiable in such logs and hinders the complete process mining initiative and (4) a sufficient user base and constant interaction with allows for bottom up process change. These results provide quantitative insights into the development and adoption cycles of the software and the direct impact on the processes as well as the business process management initiative. From this initial analysis researchers can benefit from first insights into the quantitative side of a process mining project and our categorization of the findings. Practitioners can use the findings as a blueprint or source for improvements to their process mining projects.}},
  author       = {{Skolik, Alexander Marcus and Löhr, Bernd}},
  booktitle    = {{Business Process Management Workshops}},
  editor       = {{van de Weerd, Inge and Estrada Torres, Bedilia and van der Aa, Han}},
  isbn         = {{978-3-032-13426-4}},
  pages        = {{288–299}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Understanding the Dynamics of a Process Mining Project Analyzing Log Data of a Process Mining Platform}}},
  year         = {{2026}},
}

@inproceedings{65548,
  abstract     = {{Developing Robotic Process Automation bots involves a wide range of skill sets. Besides insights from business process management, software development knowledge like systems interaction and network knowledge is required. For a well functioning process automation these different skill sets must be combined. In a design science research study, concepts from business process management, software development, and best practices are combined to design an actionable development method for RPA. The resulting PM2RPA method structures the development process in four stages: pre-Development, design, development and operations. Within these four stages, 14 activities support product owners, developers, and process experts over the course of the development process. The PM2RPA Method is demonstrated in an environment characterized by frequently changing business processes and heavy resource restrictions due to a lack of skilled workers. The PM2RPA method allows process-driven development while focusing on systems integration and reporting, resulting in a structured and comprehensive method for developing RPA bots. Practitioners can use this method to manage their automation projects. At the same time, researchers benefit from a baseline method aiming to address methodological research challenges and early insights into wider operational strategies for RPA.}},
  author       = {{Skolik, Alexander Marcus}},
  booktitle    = {{Business Process Management Workshops}},
  editor       = {{van de Weerd, Inge and Estrada Torres, Bedilia and van der Aa, Han}},
  isbn         = {{978-3-032-13426-4}},
  pages        = {{171–186}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Towards an Actionable Development Method for Robotic Process Automation Using Process Mining}}},
  year         = {{2026}},
}

@article{60017,
  author       = {{Skolik, Alexander Marcus and zur Heiden, Philipp and Donner, Johannes Aurelius Tamino and Priefer, Jennifer}},
  journal      = {{ECIS 2025 Proceedings}},
  location     = {{Amman, Jordan}},
  title        = {{{Igniting Knowledge Management for Assistance Systems in Maintenance: A Method for Knowledge Gathering}}},
  volume       = {{2}},
  year         = {{2025}},
}

@inproceedings{61098,
  author       = {{Kaltenpoth, Sascha Benjamin and Skolik, Alexander Marcus and Müller, Oliver and Beverungen, Daniel}},
  booktitle    = {{Lecture Notes in Computer Science}},
  isbn         = {{9783032028662}},
  issn         = {{0302-9743}},
  location     = {{Sevilla}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{A Step Towards Cognitive Automation: Integrating LLM Agents with Process Rules}}},
  doi          = {{10.1007/978-3-032-02867-9_19}},
  year         = {{2025}},
}

@article{55500,
  author       = {{Gitzel, Ralf and Hoffmann, Martin and zur Heiden, Philipp and Skolik, Alexander Marcus and Kaltenpoth, Sascha Benjamin and Müller, Oliver and Kanak, Cansu and Kandiah, Kajan and Stroh, Max-Ferdinand and Boos, Wolfgang and Zajadatz, Maurizio and Suriyah, Michael and Leibfried, Thomas and Singhal, Dhruv Suresh and Bürger, Moritz and Hunting, Dennis and Rehmer, Alexander and Boyaci, Aydin}},
  issn         = {{2169-3536}},
  journal      = {{IEEE Access}},
  pages        = {{1--1}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Towards Cognitive Assistance and Prognosis Systems in Power Distribution Grids – Open Issues, Suitable Technologies, and Implementation Concepts}}},
  doi          = {{10.1109/access.2024.3437195}},
  year         = {{2024}},
}

@article{55622,
  abstract     = {{<jats:title>Zusammenfassung</jats:title><jats:p>Die zunehmende Relevanz von Low- und No-Code-Anwendungen in Wissenschaft und Praxis ist darauf zurückzuführen, dass sie Unternehmen die Automatisierung von Prozessen und Aktivitäten trotz begrenzter IT-Kenntnisse ermöglichen. Dies ist von besonderer Bedeutung, da zahlreiche Unternehmen mit Herausforderungen wie dem Fachkräftemangel sowie einer alternden Belegschaft konfrontiert sind. Low- und No-Code-Anwendungen weisen ein beachtliches Potenzial auf, Automatisierungen erfolgreich trotz limitierter Ressourcen umzusetzen. Im Rahmen einer Fallstudie in einem Unternehmen der Energiebranche wurde untersucht, welche Herausforderungen die Implementierung von Low- und No-Code-Anwendungen mit sich bringt und wie diesen begegnet werden kann. Aus den Erkenntnissen wurden vier Erfolgsfaktoren abgeleitet, die für andere Unternehmen als Grundlage dienen können, um die Entwicklung von Low- und No-Code-Automatisierungen erfolgreich umzusetzen. (1) Ein Minimum Viable Product stärkt das Verständnis von LCNC-Plattformen. (2) Die Modularisierung von Entwicklungsaufgaben können zu einer ressourceneffizienteren Entwicklung führen. (3) Nebenprodukte der Entwicklung können fortlaufend Automatisierungsprojekte fördern. (4) Vorzeitige Releases in Livesystemen liefern wertvolle Verbesserungsvorschläge.</jats:p>}},
  author       = {{Skolik, Alexander Marcus and Löhr, Bernd and zur Heiden, Philipp and Bartelheimer, Christian}},
  issn         = {{1436-3011}},
  journal      = {{HMD Praxis der Wirtschaftsinformatik}},
  publisher    = {{Springer Fachmedien Wiesbaden GmbH}},
  title        = {{{Nutzung von Low- und No-Code-Anwendungen zur Automatisierung von Geschäftsprozessen in regulierten Energiemärkten Utilisation of low- and no-code applications to automate business processes in regulated energy markets}}},
  doi          = {{10.1365/s40702-024-01101-3}},
  year         = {{2024}},
}