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Design Principles for Process Improvement and Innovation Systems

Title data

Moder, Linda ; Fehrer, Tobias ; Röglinger, Maximilian:
Design Principles for Process Improvement and Innovation Systems.
In: Business Process Management Journal. (February 2025) .
ISSN 1463-7154
DOI: https://doi.org/10.1108/BPMJ-10-2024-0975

Official URL: Volltext

Abstract in another language

Purpose: Given today’s dynamic environment, process improvement and innovation (PII) are a central activity for business process management. Despite increasingly available process data and advances in artificial intelligence, only few works address the automation of PII, highlighting the need for so-called PII systems that support human process designers. However, previous research focuses on problem statements and expository software engineering artifacts. In contrast, design knowledge for PII systems remains scarce, presenting challenges for researchers and practitioners alike. Hence, this paper provides design knowledge for PII systems in the form of 14 design principles.
Design/methodology/approach: We follow the design science research paradigm, building on two systematic literature reviews, 20 exploratory expert interviews, and two evaluation surveys.
Findings: This paper presents three design requirements and 14 design principles for PII systems as the main contribution. As such, they help to identify necessary functionalities, guide the design and development of future PIIS, and serve as starting point towards a comprehensive design theory for PII systems.
Originality: The original contribution of this paper consists of prescriptive design knowledge for PII systems based on literature and qualitative insights. To the best of our knowledge, we are the first to define design principles for PII systems, bringing together knowledge from related system classes as well as unique requirements from a process design perspective.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Process Improvement; Process Innovation; Process Redesign; Business Process Management; Pro-cess Mining; Generative Artificial Intelligence
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management - Univ.-Prof. Dr. Maximilian Röglinger
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 01 Apr 2025 05:23
Last Modified: 01 Apr 2025 05:23
URI: https://eref.uni-bayreuth.de/id/eprint/93082