Artificial Intelligence in business management - SWOT analysis

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/61989100:27510/25:10260171

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Artificial Intelligence in business management - SWOT analysis

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Artificial Intelligence in business management - SWOT analysis

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50200 - Economics and Business

Projekt

—

Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Procedia Computer Science

ISBN

—

ISSN

1877-0509

e-ISSN

—

Počet stran výsledku

11

Strana od-do

4410-4420

Název nakladatele

Elsevier

Místo vydání

—

Místo konání akce

Osaka, Japan

Datum konání akce

1. 1. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—