Artificial Intelligence in business management - SWOT analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F29142890%3A_____%2F25%3A00052101" target="_blank" >RIV/29142890:_____/25:00052101 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27510/25:10260171
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S1877050925032399?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1877050925032399?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.procs.2025.09.566" target="_blank" >10.1016/j.procs.2025.09.566</a>
Alternative languages
Result language
angličtina
Original language name
Artificial Intelligence in business management - SWOT analysis
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50200 - Economics and Business
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Procedia Computer Science
ISBN
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ISSN
1877-0509
e-ISSN
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Number of pages
11
Pages from-to
4410-4420
Publisher name
Elsevier
Place of publication
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Event location
Osaka, Japan
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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