The Integration of Artificial Intelligence in Strategic Decision-Making: An In-Depth Analysis of Advantages, Challenges, and Future Prospects in Business Contexts: Systematic Review
ABSTRACT: This study concentrates on the crucial part artificial intelligence (AI) plays in improving strategic decision-making in businesses, a subject that is high on the agenda of contemporary administrative and scientific research. The research is based on a thorough systematic examination of recent literature, examining real-world models and experiments across several sectors, and drawing on theoretical frameworks like decision intelligence and human-machine collaboration. The results show that by offering data-driven insights, lowering cognitive biases, and strengthening businesses' capacity to react swiftly to market developments, AI considerably improves the precision, speed, and flexibility of decisions. The study also identifies important obstacles, such as algorithmic transparency problems, moral dilemmas, and the requirement for human supervision to guarantee responsible use. This study makes a practical contribution by offering managers and decision-makers specific suggestions on how to incorporate AI technologies into their plans in order to optimize advantages. It also emphasizes how implementing AI will affect society in ways like improving sustainability and reorganizing labor roles. This research's distinctive value is found in its integrative methodology, which blends theory and practice, as well as in its defined research agenda for evaluating the practical effects of AI in many businesses and environments.
Institutions
- University of Baghdad (IQ)
- Alrafidain University College (IQ)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-10-15
- DOI
- https://doi.org/10.5281/zenodo.17362245
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00