Responsible Engineering of Information Systems Based on Generative Artificial Intelligence : An Action Design Research Study at a German Premium Car Manufacturer

Title data

Fetzer, Dominik ; Gimpel, Henner ; Meindl, Oliver ; Strickmann, Jan:
Responsible Engineering of Information Systems Based on Generative Artificial Intelligence : An Action Design Research Study at a German Premium Car Manufacturer.
In: Business & Information Systems Engineering. (September 2025) .
ISSN 1867-0202
DOI: https://doi.org/10.1007/s12599-025-00950-6

Official URL:

Abstract in another language

Generative artificial intelligence (GenAI) is a rapidly evolving field that enables novel and valuable information systems. However, developing GenAI-based information systems poses unique challenges that need to be addressed by researchers and practitioners. This paper proposes a method that supports organizations in the responsible engineering of GenAI-based information systems aimed at improving internal operations and value-creation processes. To develop the method enabling organizations to exploit GenAI’s enormous potential while mitigating associated risks, elaborated action design research was adopted. One diagnosis cycle, two design cycles, and one implementation cycle were conducted, involving the evaluation of the method’s design through 48 interviews with practitioners and based on the realization of three real-world GenAI use cases. The theoretical contribution includes prescriptive design knowledge for the responsible engineering of GenAI-based information systems. From a practical standpoint, the paper extends organizations’ methodological toolbox with a holistic, prescriptive guideline for engineering GenAI-based information systems.

Further data

Item Type:	Article in a journal
Refereed:	Yes
Keywords:	Generative Artificial Intelligence; Software Engineering; Elaborated Action Design Research
Institutions of the University:	Faculties > Faculty of Law, Business and Economics > Department of Business Administration 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:	No
DDC Subjects:	000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics
Date Deposited:	10 Nov 2025 08:32
Last Modified:	10 Nov 2025 08:32
URI:	https://eref.uni-bayreuth.de/id/eprint/95174