Detail publikačního výsledku

Developing Organizational Competence and Trust for AI Adoption

LÍŠKA, M.; KONEČNÁ, Z.

Originální název

Developing Organizational Competence and Trust for AI Adoption

Anglický název

Developing Organizational Competence and Trust for AI Adoption

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

Artificial intelligence adoption is becoming a key challenge for organizations. The main barrier is not technology itself but the ability of people to learn, trust, and use AI effectively. This paper explores how short learning activities, called micro interventions, can help employees and managers build the competencies needed for responsible and confident use of AI. The study is based on a structured review of the relevant academic papers. The analysis identifies three competence levels. Core understanding, applied practice, and reflective use. Three levels form a dynamic learning cycle. Five types of micro interventions are described as examples of how organizations can support these stages in practice. The findings show that trust, leadership, and reflection are the most important drivers of sustainable adoption. The paper concludes that small and well-designed learning actions can create lasting changes in how organizations learn, collaborate, and innovate with AI.

Anglický abstrakt

Artificial intelligence adoption is becoming a key challenge for organizations. The main barrier is not technology itself but the ability of people to learn, trust, and use AI effectively. This paper explores how short learning activities, called micro interventions, can help employees and managers build the competencies needed for responsible and confident use of AI. The study is based on a structured review of the relevant academic papers. The analysis identifies three competence levels. Core understanding, applied practice, and reflective use. Three levels form a dynamic learning cycle. Five types of micro interventions are described as examples of how organizations can support these stages in practice. The findings show that trust, leadership, and reflection are the most important drivers of sustainable adoption. The paper concludes that small and well-designed learning actions can create lasting changes in how organizations learn, collaborate, and innovate with AI.

Klíčová slova

AI Adoption; Competencies; Micro interventions; Trust; Organizational Learning

Klíčová slova v angličtině

AI Adoption; Competencies; Micro interventions; Trust; Organizational Learning

Autoři

LÍŠKA, M.; KONEČNÁ, Z.

Rok RIV

2026

Vydáno

26.09.2025

Nakladatel

MENDELU, Faculty of Regional Development and International Studies

Místo

Brno

ISBN

978-80-7701-082-5

Kniha

Region in the Development of Society 2025

Strany počet

9

URL

https://www.tydenudrzitelnosti.cz/akce/konference-respo-2025/

BibTex

@inproceedings{BUT201757,
  author="Zdeňka {Konečná} and Michal {Líška}",
  title="Developing Organizational Competence and Trust for AI Adoption",
  booktitle="Region in the Development of Society 2025",
  year="2025",
  pages="9",
  publisher="MENDELU, Faculty of Regional Development and International Studies",
  address="Brno",
  isbn="978-80-7701-082-5",
  url="https://www.tydenudrzitelnosti.cz/akce/konference-respo-2025/"
}