---
_id: '36912'
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.
author:
- first_name: Bernd
  full_name: Löhr, Bernd
  id: '56760'
  last_name: Löhr
- first_name: Katharina
  full_name: Brennig, Katharina
  id: '51905'
  last_name: Brennig
- first_name: Christian
  full_name: Bartelheimer, Christian
  id: '49160'
  last_name: Bartelheimer
- first_name: Daniel
  full_name: Beverungen, Daniel
  id: '59677'
  last_name: Beverungen
- first_name: Oliver
  full_name: Müller, Oliver
  id: '72849'
  last_name: Müller
citation:
  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>'
  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>'
  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} }'
  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>.'
  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>.'
  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>.'
  short: 'B. Löhr, K. Brennig, C. Bartelheimer, D. Beverungen, O. Müller, in: International
    Conference on Business Process Management, 2022.'
date_created: 2023-01-16T11:04:54Z
date_updated: 2024-01-11T11:35:54Z
department:
- _id: '196'
doi: 10.1007/978-3-031-16103-2_18
language:
- iso: eng
publication: International Conference on Business Process Management
publication_identifier:
  isbn:
  - 978-3-031-16103-2
status: public
title: 'Process Mining of Knowledge-Intensive Processes: An Action Design Research
  Study in Manufacturing'
type: conference
user_id: '51905'
year: '2022'
...