2025/06/17 by Tomi Laamanen, Ann-Kristin Weiser, Ann‐Kristin Weiser +2 · 1 voice
Business, Management and Accounting · Computer Science · Social Sciences · #Cognitive Science and Mapping #Innovation and Knowledge Management #Innovation, Sustainability, Human-Machine Systems
paper · doi:10.1016/j.lrp.2025.102561
openalex publication_date 2025/06/17 · openalex created_date 2025/06/18 · openalex updated_date 2026/07/14
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.