The Evolution of the Organizational Decision Making Process : A Predictive Analysis of the Impact of Artificial Intelligence

Title data

Mayer, Valentin ; Prediger, Loreen ; Urbach, Nils ; Meierhöfer, Simon:
The Evolution of the Organizational Decision Making Process : A Predictive Analysis of the Impact of Artificial Intelligence.
In: Proceedings of the 46th International Conference on Information Systems (ICIS). - Nashville, USA , 2025

Official URL:

Abstract in another language

Although artificial intelligence (AI) is expected to significantly alter strategic decision making (DM) on an organizational level, only a few scientific articles examine the evolution of AI within the organizational DM (ODM) process. Most contributions lack empirical insights to allow predictions of the development of DM under the influence of AI or show outdated perspectives on the capabilities of AI in ODM. This work addresses this gap by conducting a multi-vocal literature review (MLR) and a quantitative analysis of patents on AI-based decision support systems (DSS). Overall, the findings advance current research on AI in ODM by providing an overview of existing theoretical contributions and predicting a trend toward an increasing augmentation of human intelligence by AI throughout the ODM process. This enables managers to take strategic action and adapt organizational structures and managerial tasks based on our prediction of the future evolution of AI within the ODM process.

Further data

Item Type:	Article in a book
Refereed:	Yes
Keywords:	Artificial Intelligence; Decision Making Process; Organizational Decision Making; Patent Analysis; Multi-Vocal Literature Review
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 > Former Professors > Professor Information Systems Management and Strategic IT Management - Univ.-Prof. Dr. Nils Urbach Profile Fields Profile Fields > Emerging Fields > Innovation and Consumer Protection 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:	08 Oct 2025 07:35
Last Modified:	08 Oct 2025 07:35
URI:	https://eref.uni-bayreuth.de/id/eprint/94830