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Influence of personal cultural orientations in artificial intelligence adoption in small and medium-sized enterprises

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F23%3A63572799" target="_blank" >RIV/70883521:28120/23:63572799 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-031-50040-4_3" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-50040-4_3</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-50040-4_3" target="_blank" >10.1007/978-3-031-50040-4_3</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Influence of personal cultural orientations in artificial intelligence adoption in small and medium-sized enterprises

  • Original language description

    This study aims to propose a theoretical model that examines the significance of personal cultural orientations, specifically focusing on innovativeness, independence, and ambiguity intolerance, in the adoption of artificial intelligence (AI) within small and medium-sized enterprises (SMEs). Additionally, the study establishes a relationship between personal cultural orientations and the Unified Theory of Acceptance and Use of Technology (UTAUT), particularly considering performance expectancy and facilitating conditions. SMEs face unique challenges and barriers in their pursuit of competitiveness, which necessitate alternative approaches and methodologies to foster the acceptance of new innovations like AI, beyond traditional technology adoption models. Employing a qualitative methodology, emphasizing documentary research, and utilizing inferential and deductive reasoning, a theoretical model is proposed. This model aims to demonstrate how analysing personal cultural orientations can facilitate the design of effective strategies and policies to support SMEs’ AI adoption, promoting their growth and sustainability in a technology-driven and highly volatile environment.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    New Sustainable Horizons in Artificial Intelligence and Digital Solutions

  • ISBN

    978-3-031-50039-8

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    14

  • Pages from-to

    27-40

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Curitiba

  • Event date

    Nov 9, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article