Artificial intelligence in adaptive strategy creation and implementation: Toward enhanced attentional control in strategy processes
Journal
Long Range Planning
ISSN
0024-6301
Type
journal article
Date Issued
2025-06-17
Author(s)
Abstract
Abstract
This article focuses on the deployment of proprietary artificial intelligence (AI) systems in strategy creation and implementation processes, with a specific focus on their role in enhancing organizational attentional control. By employing the attention-based view (ABV) as an overarching theoretical framework, we examine how company-specific AI systems trained on proprietary data can support strategy processes. We identify three key contributions of AI in strategy creation and implementation processes: (1) broadening organizational attention to external and internal developments, (2) democratizing strategic processes through improved transparency and inclusivity, and (3) accelerating feedback loops with real-time monitoring of strategy implementation progress. Potential challenges associated with the deployment of AI systems for attentional control are also addressed. The paper concludes by putting forward potential directions for future research.
This article focuses on the deployment of proprietary artificial intelligence (AI) systems in strategy creation and implementation processes, with a specific focus on their role in enhancing organizational attentional control. By employing the attention-based view (ABV) as an overarching theoretical framework, we examine how company-specific AI systems trained on proprietary data can support strategy processes. We identify three key contributions of AI in strategy creation and implementation processes: (1) broadening organizational attention to external and internal developments, (2) democratizing strategic processes through improved transparency and inclusivity, and (3) accelerating feedback loops with real-time monitoring of strategy implementation progress. Potential challenges associated with the deployment of AI systems for attentional control are also addressed. The paper concludes by putting forward potential directions for future research.
Language
English
Keywords
Artificial Intelligence
Attention-Based View
Attentional Control
Strategy Process
Adaptive Strategy Creation and Implementation
HSG Classification
contribution to scientific community
Refereed
yes
Publisher
Elsevier BV
Volume
58
Number
4
Pages
12
Division(s)
Contact Email Address
tomi.laamanen@unisg.ch
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LRP_Artificial Intelligence in adaptive strategy creation and implementation_2025.pdf
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