The Role of Artificial Intelligence in Managerial Decision-Making: From Data to Policy
Keywords:
Artificial intelligence, managerial decision-making, data-driven management, algorithmic governance, organizational policy, thematic analysisAbstract
Objective: This study aims to examine the role of artificial intelligence (AI) in transforming managerial decision-making from data-driven analysis to organizational policy design and governance.
Methods and Materials: This qualitative review employed a thematic analysis approach. Data were collected through a systematic review of twelve peer-reviewed articles published in the past decade focusing on AI and management. The inclusion criteria required explicit discussion of AI’s role in decision-making, clear theoretical grounding, and reliable analytical or empirical evidence. Data were analyzed using Nvivo 14 through open, axial, and selective coding until theoretical saturation was achieved.
Findings: Thematic analysis revealed three main categories: (1) AI as a data-driven decision-making tool that enhances precision and predictive accuracy; (2) the transformation of managerial roles in the AI era, emphasizing the integration of human judgment and algorithmic reasoning; and (3) the application of AI in policy-making and data governance for dynamic, transparent, and accountable decisions. The findings highlight a paradigm shift from intuition-based to evidence-based decision-making and a redefinition of leadership toward data-centric management.
Conclusion: AI functions not merely as an analytical instrument but as a platform for redefining leadership, ethical reasoning, and organizational policy-making. Developing ethical frameworks, enhancing data literacy among managers, and creating transparent decision-support systems are essential prerequisites for entering the era of intelligent management.
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