Research Article

Strategic Decision-Making and Artificial Intelligence: Exploring the Impact of AI Applications on Decision Precision and Risk Mitigation

Volume: 22 Number: 4 August 4, 2025
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Strategic Decision-Making and Artificial Intelligence: Exploring the Impact of AI Applications on Decision Precision and Risk Mitigation

Abstract

Artificial intelligence (AI) is increasingly reshaping strategic decision-making in modern organizations by enhancing decision precision, operational agility, and risk mitigation. This study investigates the influence of AI technologies on strategic management, with a particular emphasis on their role in improving decision accuracy and managing organizational risk. A qualitative methodology was employed, utilizing semi-structured interviews with 20 senior executives representing diverse sectors in Istanbul, Turkey. Thematic analysis revealed that AI facilitates data-informed decision-making, streamlines resource deployment, enhances competitive responsiveness, and reduces uncertainty in strategic planning. Results showed that 80% of the respondents reported enhanced forecasting accuracy, while 70% highlighted AI’s contribution to more effective risk management practices. Additionally, AI was found to support scenario modeling and proactive strategy formulation. Nonetheless, key obstacles to implementation included organizational inertia (65%), data reliability concerns (55%), integration complexity (60%), and ethical considerations (40%). The study emphasizes the importance of aligning AI deployment with broader corporate strategies and fostering a culture of digital readiness to maximize AI’s strategic impact and long-term value creation.

Keywords

Artificial intelligence , strategic decision-making , risk mitigation , AI implementation , decision accuracy , organizational transformation

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APA
Benhür Aktürk, E. (2025). Strategic Decision-Making and Artificial Intelligence: Exploring the Impact of AI Applications on Decision Precision and Risk Mitigation. OPUS Journal of Society Research, 22(4), 580-592. https://doi.org/10.26466/opusjsr.1666747