An Empirical Study of Human-AI Collaboration in Strategic Decision-Making
Abstract
This paper investigates the integration of Artificial Intelligence (AI) into executive decision-making (EDM) and its impact on corporate strategy (CS). While AI's role in operational tasks is well-documented, its adoption at the executive level remains underexplored. This study addresses this gap by examining the challenges, Human-AI Collaboration (HAIC) models, and best practices in the use of AI for strategic decision-making. Through a survey of 50 executives, our findings indicate that AI is predominantly used as a support tool rather than an autonomous decision-maker. The study tests several hypotheses, finding support for a positive relationship between corporate AI guidelines and AI adoption in EDM, while rejecting the hypothesis that strategic alignment of AI directly predicts perceived company performance. The primary challenges to adoption were identified as a lack of trust, concerns over data privacy, and unclear regulations. This research, with its limitations, still contributes to the literature by providing empirical evidence on the current state of AI in executive-level strategic processes and offers practical recommendations for organizations aiming to leverage AI for a competitive advantage.
Full Paper (PDF)
Download Full PaperPublication Details
How to Cite
Lajtman, M.K., Oblakovic, G., Houget, V. (2025). An Empirical Study of Human-AI Collaboration in Strategic Decision-Making. 13th Higher Education Institutions Conference (HEIC 2025), 04-05 September, 2025, Dubrovnik (Croatia). https://doi.org/10.66781/heic.2025.13
