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Paper Number
ICIS2025-1058
Paper Type
Complete
Abstract
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contributions lack empirical insights to allow predictions of the development of DM under the influence of AI or show outdated perspectives on the capabilities of AI in ODM.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.
Recommended Citation
Mayer, Valentin; Prediger, Loreen; Urbach, Nils; and Meierhöfer, Simon, "The Evolution of the Organizational Decision-Making Process: A Predictive Analysis of the Impact of Artificial Intelligence" (2025). ICIS 2025 Proceedings. 2.
https://aisel.aisnet.org/icis2025/general_topic/general_topic/2
The Evolution of the Organizational Decision-Making Process: A Predictive Analysis of the Impact of Artificial Intelligence
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contributions lack empirical insights to allow predictions of the development of DM under the influence of AI or show outdated perspectives on the capabilities of AI in ODM.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.
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02-GeneralTopics