[{"author":[{"id":"56760","first_name":"Bernd","last_name":"Löhr","full_name":"Löhr, Bernd"},{"id":"51905","full_name":"Brennig, Katharina","first_name":"Katharina","last_name":"Brennig"},{"full_name":"Bartelheimer, Christian","last_name":"Bartelheimer","first_name":"Christian","id":"49160"},{"id":"59677","full_name":"Beverungen, Daniel","first_name":"Daniel","last_name":"Beverungen"},{"id":"72849","last_name":"Müller","first_name":"Oliver","full_name":"Müller, Oliver"}],"publication_identifier":{"isbn":["978-3-031-16103-2"]},"title":"Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing","year":"2022","status":"public","date_updated":"2024-01-11T11:35:54Z","_id":"36912","language":[{"iso":"eng"}],"user_id":"51905","doi":"10.1007/978-3-031-16103-2_18","citation":{"chicago":"Löhr, Bernd, Katharina Brennig, Christian Bartelheimer, Daniel Beverungen, and Oliver Müller. “Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing.” In <i>International Conference on Business Process Management</i>, 2022. <a href=\"https://doi.org/10.1007/978-3-031-16103-2_18\">https://doi.org/10.1007/978-3-031-16103-2_18</a>.","short":"B. Löhr, K. Brennig, C. Bartelheimer, D. Beverungen, O. Müller, in: International Conference on Business Process Management, 2022.","apa":"Löhr, B., Brennig, K., Bartelheimer, C., Beverungen, D., &#38; Müller, O. (2022). Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing. <i>International Conference on Business Process Management</i>. <a href=\"https://doi.org/10.1007/978-3-031-16103-2_18\">https://doi.org/10.1007/978-3-031-16103-2_18</a>","ieee":"B. Löhr, K. Brennig, C. Bartelheimer, D. Beverungen, and O. Müller, “Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing,” 2022, doi: <a href=\"https://doi.org/10.1007/978-3-031-16103-2_18\">10.1007/978-3-031-16103-2_18</a>.","ama":"Löhr B, Brennig K, Bartelheimer C, Beverungen D, Müller O. Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing. In: <i>International Conference on Business Process Management</i>. ; 2022. doi:<a href=\"https://doi.org/10.1007/978-3-031-16103-2_18\">10.1007/978-3-031-16103-2_18</a>","bibtex":"@inproceedings{Löhr_Brennig_Bartelheimer_Beverungen_Müller_2022, title={Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-16103-2_18\">10.1007/978-3-031-16103-2_18</a>}, booktitle={International Conference on Business Process Management}, author={Löhr, Bernd and Brennig, Katharina and Bartelheimer, Christian and Beverungen, Daniel and Müller, Oliver}, year={2022} }","mla":"Löhr, Bernd, et al. “Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing.” <i>International Conference on Business Process Management</i>, 2022, doi:<a href=\"https://doi.org/10.1007/978-3-031-16103-2_18\">10.1007/978-3-031-16103-2_18</a>."},"publication":"International Conference on Business Process Management","abstract":[{"lang":"eng","text":"Existing process mining methods are primarily designed for processes that have reached a high degree of digitalization and standardization. In contrast, the literature has only begun to discuss how process mining can be applied to knowledge-intensive processes—such as product innovation processes—that involve creative activities, require organizational flexibility, depend on single actors’ decision autonomy, and target process-external goals such as customer satisfaction. Due to these differences, existing Process Mining methods cannot be applied out-of-the-box to analyze knowledge-intensive processes. In this paper, we employ Action Design Research (ADR) to design and evaluate a process mining approach for knowledge-intensive processes. More specifically, we draw on the two processes of product innovation and engineer-to-order in manufacturing contexts. We collected data from 27 interviews and conducted 49 workshops to evaluate our IT artifact at different stages in the ADR process. From a theoretical perspective, we contribute five design principles and a conceptual artifact that prescribe how process mining ought to be designed for knowledge-intensive processes in manufacturing. From a managerial perspective, we demonstrate how enacting these principles enables their application in practice."}],"date_created":"2023-01-16T11:04:54Z","department":[{"_id":"196"}],"type":"conference"}]