D 2025

From Insight to Impact: How AI Tools Transform Managerial Practice in Czech Companies

PAWLICZEK, Adam, Tereza ŽÁLČÍK and Aneta MATULA

Basic information

Original name

From Insight to Impact: How AI Tools Transform Managerial Practice in Czech Companies

Authors

PAWLICZEK, Adam, Tereza ŽÁLČÍK and Aneta MATULA

Edition

Maribor, Slovinsko, 9th FEB International Scientific Conference: Sustainable Management in the Age of ESG and AI: Navigating Challenges and Opportunities, p. 631-642, 12 pp. 2025

Publisher

Univerzitetna založba Univerze v Mariboru

Other information

Language

English

Type of outcome

Proceedings paper

Country of publisher

Slovenia

Confidentiality degree

is not subject to a state or trade secret

Publication form

electronic version available online

References:

Organization unit

Moravian Business College Olomouc

ISBN

978-961-286-984-7

Keywords in English

artificial intelligence in management; leadership development; decision support systems; AI-driven coaching; managerial efficienc
Changed: 2/6/2025 13:59, Ing. Michaela Nováková

Abstract

V originále

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.