From Insight to Impact: How AI Tools Transform Managerial Practice in Czech Companies
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F26867184%3A_____%2F25%3AN0000007" target="_blank" >RIV/26867184:_____/25:N0000007 - isvavai.cz</a>
Result on the web
<a href="https://press.um.si/index.php/ump/catalog/book/974/chapter/430" target="_blank" >https://press.um.si/index.php/ump/catalog/book/974/chapter/430</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
From Insight to Impact: How AI Tools Transform Managerial Practice in Czech Companies
Original language description
This study investigates the practical applications of artificial intelligence (AI) in managerial work, with a focus on how tools such as large language models (LLMs) support the personal and professional development of managers. It explores how AI is used for decision-making, information analysis, and communication, and assesses its perceived impact on managerial knowledge, skills, and productivity. The research combines a comprehensive literature review with empirical data from a structured survey of 42 managers in Moravian companies, primarily in the Czech Republic. The study evaluates the frequency, purpose, and tools used in AI-assisted management practice. AI tools are frequently used by managers, especially for information summarization, meeting preparation, and text generation. ChatGPT (GPT-4) is the dominant tool, with most respondents reporting weekly or daily use. The majority perceive AI as beneficial, with an average Likert score of 7.86 regarding its positive impact on performance. Limitations include the localized sample, rapid research timeframe, and fast-paced AI evolution, which may affect long-term generalizability. The study offers practical insights into how AI enhances managerial routines and leadership development. This paper provides rare, localized empirical evidence on AI adoption in management, contributing to a fast-growing global research area.
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
50204 - Business and management
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
9th FEB International Scientific Conference: Sustainable Management in the Age of ESG and AI: Navigating Challenges and Opportunities
ISBN
9789612869847
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
631-642
Publisher name
Univerzitetna založba Univerze v Mariboru
Place of publication
Maribor, Slovinsko
Event location
Maribor, Slovinsko
Event date
Jan 1, 2025
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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