The impact of artificial intelligence on enterprise decision-making processes

Abstract

PURPOSE: This paper examines how artificial intelligence (AI) enhances enterprise decisionmaking. 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 decisionmaking 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.