Management and Artificial Intelligence: Transforming DecisionMaking and Organizational Efficiency

Artificial Intelligence (AI) is revolutionizing business management by enabling data-driven decisions, streamlining operations, and enhancing strategic planning. This paper explores the intersection of management and AI, investigating how AI technologies influence managerial roles, decision-making, organizational performance, and workforce dynamics. Using qualitative and quantitative research methodologies, the study provides insights into AI’s practical applications and its limitations within managerial contexts. The findings suggest that while AI improves operational efficiency and predictive accuracy, it also raises challenges related to ethics, employee adaptation, and data privacy. The paper concludes by highlighting the need for a balanced, human-centric AI integration in modern management practices.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-30
DOI
https://doi.org/10.5281/zenodo.15124827
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Management and Artificial Intelligence: Transforming DecisionMaking and Organizational Efficiency

Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

Management and Artificial Intelligence: Transforming DecisionMaking and Organizational Efficiency

article en

Abstract

Artificial Intelligence (AI) is revolutionizing business management by enabling data-driven decisions, streamlining operations, and enhancing strategic planning. This paper explores the intersection of management and AI, investigating how AI technologies influence managerial roles, decision-making, organizational performance, and workforce dynamics. Using qualitative and quantitative research methodologies, the study provides insights into AI’s practical applications and its limitations within managerial contexts. The findings suggest that while AI improves operational efficiency and predictive accuracy, it also raises challenges related to ethics, employee adaptation, and data privacy. The paper concludes by highlighting the need for a balanced, human-centric AI integration in modern management practices.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 50%
Ethics and Social Impacts of AI
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