Conceptualizing the Design Space of Artificial Intelligence Strategy: A Taxonomy and Corresponding Clusters
Journal
Business & Information Systems Engineering
Type
journal article
Date Issued
2025-05-05
Author(s)
Research Team
IWI6
Abstract
As the real-world use of Artificial intelligence (AI) becomes increasingly pervasive, the interest of organizations in the nascent technology is currently at its peak. Although the scientific literature points out that a strategy is key to responding to technological breakthroughs, the three facets of autonomy, learning, and inscrutability that distinguish contemporary AI from previous generations of IT give rise to a novel and distinctive perspective on strategy. Particularly, the facets of contemporary AI lead to AI-induced market and resource shifts and, thus, to AI-related strategic challenges regarding the scope, scale, speed, and source from which organizations make strategic deliberations. This ultimately requires a strategic response from organizations in the form of an AI strategy. Against this backdrop, this study proposes a multi-layer taxonomy with 15 dimensions and 45 characteristics that unveils how organizations currently structure and organize an AI strategy. Conducting a cluster analysis on this foundation, this study further provides four clusters that delineate predominant design options for developing a new AI strategy or evaluating an existing one. In this way, the results contribute to a fundamental understanding of the design space of an AI strategy and enrich recent discussions among researchers and practitioners on how to advance the real-world use of AI.
Language
English
Keywords
Artificial intelligence
Strategy
Taxonomy development
Cluster analysis
HSG Classification
contribution to scientific community
Refereed
Yes
Subject(s)
Division(s)
File(s)![Thumbnail Image]()
Name
JML_1033.pdf
Size
981.45 KB
Format
Adobe PDF
Checksum (MD5)
8fcca613dfdfb9def2fc914d393fb829