Ricardo Leon Müller

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Müller
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Ricardo Leon

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    Item type:Publication,
    Conceptualizing the Design Space of Artificial Intelligence Strategy: A Taxonomy and Corresponding Clusters
    (2025-05-05)
    Peter Hofmann
    ;
    Simon Meierhöfer
    ;
    Ricardo Leon Müller  
    ;
    Anna Maria Oberländer
    ;
    Protschky, Dominik
    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.
    Type:journal article
    Journal:Business & Information Systems Engineering
    DOI:10.1007/s12599-025-00941-7
    URI:https://www.alexandria.unisg.ch/handle/20.500.14171/122884