| Item Type |
Conference or Workshop Item
(Paper)
|
| Abstract |
The deployment of Artificial Intelligence (AI) in businesses is said to provide significant benefits to organizations. However, many businesses struggle to align single AI use cases with the overall strategic business value contribution. Thus, we investigate the strategic characteristics that determine the business value contribution of AI use cases at an organizational level. We draw on academic literature and 106 AI use cases to develop a conceptually sound and empirically grounded taxonomy of the organizational business value of AI use cases. With the developed taxonomy, decision-makers are presented with a tool to systematically align AI use cases with strategic objectives. Moreover, our findings reveal how an AI use case can generate different business value contributions in different contexts, which provides researchers with a conceptual frame for informing their empirical research endeavors at the organizational level. |
| Authors |
Engel, Christian; Schulze Buschhoff, Julius Constantin & Ebel, Philipp |
| Language |
English |
| Subjects |
business studies
information management |
| HSG Classification |
contribution to scientific community |
| HSG Profile Area |
SoM - Business Innovation |
| Date |
January 2022 |
| Place of Publication |
Hawaii, USA |
| Event Title |
Hawaii International Conference on System Sciences (HICSS 55) |
| Event Location |
Hawaii, USA |
| Event Dates |
01/2022 |
| Contact Email Address |
christian.engel@unisg.ch |
| Depositing User |
Christian Engel
|
| Date Deposited |
30 Nov 2021 14:34 |
| Last Modified |
20 Jul 2022 17:47 |
| URI: |
https://www.alexandria.unisg.ch/publications/265010 |
Structuring the Quest for Strategic Alignment of Artificial Intelligence (AI): A Taxonomy of the Organizational Business Value of AI Use Cases
![[img]](http://www.alexandria.unisg.ch/style/images/fileicons/oa_orange.png)
