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Developing Organizational Competence and Trust for AI Adoption

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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

Alternative languages

  • Result language

    angličtina

  • Original language name

    Developing Organizational Competence and Trust for AI Adoption

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    R - Projekt Ramcoveho programu EK

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

    Region in the Development of Society 2025

  • ISBN

    978-80-7701-082-5

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

  • Publisher name

    MENDELU, Faculty of Regional Development and International Studies

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Sep 26, 2025

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article