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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Artificial Intelligence in Business Operations: Functional Application and Managerial Transformation

Authors: ARKANIA, Maria;

Artificial Intelligence in Business Operations: Functional Application and Managerial Transformation

Abstract

Abstract: This paper examines the transformative role of artificial intelligence (AI) in modern business operations, analyzing its functional applications and consequent managerial implications. Through a theoretical and documentary analysis, the study demonstrates that AI technologies—such as robotic process automation, predictive analytics, and natural language processing—fundamentally optimize decision-making and enhance operational efficiency. Furthermore, the research argues that AI's influence extends beyond technological adoption, driving a managerial revolution that redefines leadership roles, necessitates data-driven strategic planning, and transforms human resource practices. The research further contextualizes these global trends within the specific emerging market landscape of Georgia, identifying a unique combination of adoption challenges and leapfrogging potential. While case-based evidence from the literature indicates significant performance and cultural shifts, the findings suggest that successful AI implementation requires a holistic realignment of strategy, skill development, and ethical governance. The study concludes that AI is not merely a tool but a transformative force demanding new leadership models for sustainable success in the digital era. Keywords: Artificial Intelligence, Business Operations, Digital Transformation, Managerial Innovation, Process Automation, Decision-Making, Organizational Change, Leadership Adaptability, AI Ethics, Georgia

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green