Artificial Intelligence in business management - SWOT analysis

The aim of this paper is to present the role of artificial intelligence in business management and to analyse its impact on decision-making processes in both operational and strategic contexts. The paper focuses on assessing the opportunities and limitations of implementing AI technology in the organisational structures of companies, with particular emphasis on aspects such as process automation decision optimisation customer service and information security. The study is based on an analysis of the literature on the subject, as well as on foundational data from industry reports and expert studies. The results indicate that AI is an important factor supporting the development of modern management models by offering a range of cost and quality efficiency benefits. At the same time, challenges related to implementation costs technological risks shortage of specialists and ethical and regulatory issues were identified. The article uses SWOT analysis as a tool to structure the findings in three key areas covering business management cyber security and consumer decisions. The article aims not only to identify current trends but also to identify directions for further research and development in the responsible and sustainable implementation of AI in the business environment.

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Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.09.566
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence in business management - SWOT analysis

Radomír Kaňa, Anna Brzozowska, Ireneusz Miciuła, Joanna Antczak et al.
Procedia Computer Science
Supply Chain Resilience and Risk Management
article

Artificial Intelligence in business management - SWOT analysis

Radomír Kaňa, Anna Brzozowska, Ireneusz Miciuła, Joanna Antczak, Radim Lenort, Judyta Kabus, Radosław Wolniak
article en

Abstract

The aim of this paper is to present the role of artificial intelligence in business management and to analyse its impact on decision-making processes in both operational and strategic contexts. The paper focuses on assessing the opportunities and limitations of implementing AI technology in the organisational structures of companies, with particular emphasis on aspects such as process automation decision optimisation customer service and information security. The study is based on an analysis of the literature on the subject, as well as on foundational data from industry reports and expert studies. The results indicate that AI is an important factor supporting the development of modern management models by offering a range of cost and quality efficiency benefits. At the same time, challenges related to implementation costs technological risks shortage of specialists and ethical and regulatory issues were identified. The article uses SWOT analysis as a tool to structure the findings in three key areas covering business management cyber security and consumer decisions. The article aims not only to identify current trends but also to identify directions for further research and development in the responsible and sustainable implementation of AI in the business environment.

Procedia Computer ScienceVol. 270
University of Szczecin (PL), Silesian University of Technology (PL), Częstochowa University of Technology (PL), VSB - Technical University of Ostrava (CZ), Military University of Technology in Warsaw (PL), Škoda (Czechia) (CZ), Škoda Auto University (CZ)
Openalex Percentile: Top 53%
Supply Chain Resilience and Risk Management
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