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Implications of generative artificial intelligence for human-human interaction in knowledge work: Are knowledge workers at risk of isolation and loss of team synergy?

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F24%3A73629851" target="_blank" >RIV/61989592:15210/24:73629851 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Implications of generative artificial intelligence for human-human interaction in knowledge work: Are knowledge workers at risk of isolation and loss of team synergy?

  • Original language description

    This article explores the implications of generative artificial intelligence for human interaction in knowledge work. The aim is to explore experts’ perspectives on whether knowledge workers are prone to isolation and reduced team synergy as a result of the growing presence of generative AI. The research is based on in-depth semi-structured interviews with knowledge workers from different fields such as data analysis, business consulting, engineering and marketing, followed by thematic analysis. The findings highlight different perspectives on the impacts of generative AI, with experts emphasising the importance of individual personalities and specific worker approaches in determining these impacts. Despite the acknowledgement of the diversity of views, there is a consensus among experts on the general trend of increasing independent work facilitated by the use of technology.

  • 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

    2024

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    KNOWCON 2024: Knowledge on Economics and Management. Conference Proceedings

  • ISBN

    978-80-244-6552-4

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    103-109

  • Publisher name

    Palacký University Olomouc

  • Place of publication

    Olomouc

  • Event location

    Olomouc

  • Event date

    Dec 5, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article