The Future of Business Administration: Integrating AI Technologies

The integration of artificial intelligence (AI) across various business sectors presents significant opportunities to enhance efficiency and profitability. AI excels in data processing, offering profound insights that can reshape marketing, management, sales, and operations. However, small to medium-sized enterprises often lag behind larger organizations in leveraging these advantages, particularly in sectors reliant on consumer data. By automating routine tasks, AI frees human resources to focus on strategic thinking and creativity, improving customer relationship management (CRM) and fostering sustained customer engagement. Despite these benefits, the successful adoption of AI involves navigating complexities, including algorithmic challenges and organizational transformations that affect established routines and job roles. Digital leadership plays a pivotal role in guiding these transitions as organizations craft adaptive strategies to harness AI’s potential. Looking ahead, the landscape of business administration is set to evolve further, with machine learning and other emerging technologies reshaping operational frameworks. Nonetheless, the rapid adoption of AI also necessitates reskilling, as traditional job roles may change or become obsolete. A thoughtful approach to AI integration must consider ethical implications and strategic planning to ensure that businesses can thrive in an increasingly technology-driven environment.

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Publication Details

Journal
World Research of Business Administration Journal
Published
2025-04-23
DOI
https://doi.org/10.56830/wrba03202505
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

The Future of Business Administration: Integrating AI Technologies

Mahmoud Khalifa, Petya Ivanova
World Research of Business Administration Journal
Big Data and Business Intelligence
article

The Future of Business Administration: Integrating AI Technologies

Mahmoud Khalifa, Petya Ivanova
article en

Abstract

The integration of artificial intelligence (AI) across various business sectors presents significant opportunities to enhance efficiency and profitability. AI excels in data processing, offering profound insights that can reshape marketing, management, sales, and operations. However, small to medium-sized enterprises often lag behind larger organizations in leveraging these advantages, particularly in sectors reliant on consumer data. By automating routine tasks, AI frees human resources to focus on strategic thinking and creativity, improving customer relationship management (CRM) and fostering sustained customer engagement. Despite these benefits, the successful adoption of AI involves navigating complexities, including algorithmic challenges and organizational transformations that affect established routines and job roles. Digital leadership plays a pivotal role in guiding these transitions as organizations craft adaptive strategies to harness AI’s potential. Looking ahead, the landscape of business administration is set to evolve further, with machine learning and other emerging technologies reshaping operational frameworks. Nonetheless, the rapid adoption of AI also necessitates reskilling, as traditional job roles may change or become obsolete. A thoughtful approach to AI integration must consider ethical implications and strategic planning to ensure that businesses can thrive in an increasingly technology-driven environment.

World Research of Business Administration JournalVol. 5(1)
D. A. Tsenov Academy of Economics (BG), Applied Science University (BH)
Openalex Percentile: Top 87%
Big Data and Business Intelligence
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