Developing Organizational Competence and Trust for AI Adoption

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F26%3A0201757" target="_blank" >RIV/00216305:26510/26:0201757 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.tydenudrzitelnosti.cz/akce/konference-respo-2025/" target="_blank" >https://www.tydenudrzitelnosti.cz/akce/konference-respo-2025/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Developing Organizational Competence and Trust for AI Adoption

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Developing Organizational Competence and Trust for AI Adoption

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50204 - Business and management

Projekt

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Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název statě ve sborníku

Region in the Development of Society 2025

ISBN

978-80-7701-082-5

ISSN

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e-ISSN

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Počet stran výsledku

9

Strana od-do

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Název nakladatele

MENDELU, Faculty of Regional Development and International Studies

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

26. 9. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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