Document Type
Article
Source of Publication
Foresight
Publication Date
10-4-2026
Abstract
Purpose – Research on artificial intelligence (AI) in organisations has concentrated on operational efficiency and automation. This study aims to reposition AI as both a constitutive element and a strategic object of foresight, a dual role the literature has noticed but not theorised. Design/methodology/approach – A narrative literature review draws peer-reviewed work from foresight studies, socio-technical systems theory and organisational change into an integrated analytical framework. Selection prioritised conceptual contribution, transparency of reasoning and relevance to AI in strategic futures thinking. Findings – AI strengthens environmental sensing, complex modelling and scenario work under uncertainty. The framework has four components: inputs, AI systems, human–AI interaction and outcomes, and yields five propositions for empirical testing. Research limitations/implications – As a theoretical contribution, empirical validation remains a priority. Findings should be tested across sectors and organisational contexts before generalisation. Practical implications – Organisations must cultivate digital foresight literacy, restructure around cross-functional foresight teams and implement agile governance capable of auditing AI-generated outputs. The framework provides guidance for navigating algorithmic bias, transparency obligations and power asymmetries. Originality/value – This study makes four contributions. It reconceptualises AI as constitutive of organisational foresight instead of an instrument applied to it, introduces and differentiates anticipatory co-evolution as a novel construct, integrates Rohrbeck’s (2010) maturity model with Ivanov’s (2023) configuration taxonomy and sets out ethical governance requirements specific to AI-enabled foresight.
DOI Link
ISSN
Publisher
Emerald
First Page
1
Last Page
15
Disciplines
Business
Keywords
Anticipatory governance, Artificial intelligence, Digital reconfiguration, Organisational change, Socio-technical systems, Strategic foresight
Scopus ID
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Recommended Citation
Dittmar, Eduardo Carlos; Sposato, Martin; and Vargas Portillo, Jenny Patricia, "Artificial intelligence as enabler and object of strategic foresight: a theoretical framework for digital organisational transformation" (2026). All Works. 8436.
https://zuscholars.zu.ac.ae/works/8436
Indexed in Scopus
yes
Open Access
yes
Open Access Type
Green: A manuscript of this publication is openly available in a repository