Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/338635 
Year of Publication: 
2025
Citation: 
[Journal:] European Research Studies Journal [ISSN:] 3057-4331 [Volume:] 28 [Issue:] 4 [Publisher:] International Strategic Management Association [Place:] Athens [Year:] 2025 [Pages:] 756-777
Publisher: 
International Strategic Management Association, Athens
Abstract: 
Purpose: This paper examines how artificial intelligence (AI) enhances enterprise decision-making. It explores the influence of AI tools on decision speed, accuracy, and managerial effectiveness. The study also identifies key human and organizational factors affecting implementation success. Design/methodology/approach: A quantitative survey of 92 enterprises from multiple industries was conducted. Data were collected via a structured questionnaire and analyzed using descriptive and correlation methods. The approach enables identification of relationships between AI adoption, decision efficiency, and organizational barriers. Findings: Results show that 93% of companies use AI, mainly in customer service, data analysis, and decision support. AI improves efficiency and data-driven management but faces barriers such as employee resistance and high costs. Understanding AI mechanisms and managing change are critical competencies. Practical recommendations: Companies should strengthen change management, enhance AI literacy, and address employee adaptation issues. Effective leadership and transparent communication can improve acceptance and outcomes. Aligning AI tools with human decision-making will maximize business value. Originality/value: The paper offers one of the first quantitative assessments of AI’s role in enterprise decision-making. It highlights the synergy between algorithmic and human intelligence. The study contributes to understanding how AI reshapes management practices and organizational agility.
Subjects: 
Artificial intelligence
decision-making
managerial efficiency
organizational barriers
change management
JEL: 
M15
O32
D83
Persistent Identifier of the first edition: 
Creative Commons License: 
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Document Type: 
Article
Document Version: 
Published Version
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