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  4. Structuring the Quest for Strategic Alignment of Artificial Intelligence (AI): A Taxonomy of the Organizational Business Value of AI Use Cases
 
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Structuring the Quest for Strategic Alignment of Artificial Intelligence (AI): A Taxonomy of the Organizational Business Value of AI Use Cases

Type
conference paper
Date Issued
2022-01
Author(s)
Engel, Christian
Schulze Buschhoff, Julius Constantin
Ebel, Philipp
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.
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
SoM - Business Innovation
Publisher place
Hawaii, USA
Event Title
Hawaii International Conference on System Sciences (HICSS 55)
Event Location
Hawaii, USA
Event Date
01/2022
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/109118
Subject(s)
  • information managemen...

  • business studies

Division(s)
  • IWI - Institute of In...

Contact Email Address
christian.engel@unisg.ch
Eprints ID
265010
File(s)
2022_HICSS_Business Value of AI_revised_final.pdf (632.35 KB) 2022_HICSS_Business Value of AI_revised_final.pdf (632.35 KB)
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