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From Interaction to Integration: Leveraging AI in Enhancing Team Communication and Task Efficiency

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F29142890%3A_____%2F24%3A00048974" target="_blank" >RIV/29142890:_____/24:00048974 - isvavai.cz</a>

  • Result on the web

    <a href="https://jssidoi.org/jesi/article/1204" target="_blank" >https://jssidoi.org/jesi/article/1204</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.9770/jesi.2024.11.4(17)" target="_blank" >10.9770/jesi.2024.11.4(17)</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    From Interaction to Integration: Leveraging AI in Enhancing Team Communication and Task Efficiency

  • Original language description

    At a time when digital transformation is reshaping work processes and how companies approach and perform tasks, artificial intelligence (AI) is emerging as a vital element of this evolution. AI -powered tools are changing how companies interact with customers and fundamentally impacting internal processes and how they assign tasks to teams. This trend raises questions about the efficiency with which humans and AI perform assigned tasks and the potential implications for future workplace dynamics. The main objective of this study is to provide a deeper understanding of the differences in task performance efficiency between humans and AI and to identify optimal ways in which these two resources can be used together to maximize their potential in the modern workspace. Through a comprehensive methodology and range of research methods, the paper offers both theoretical and practical benefits for academics, management practitioners and AI developers. Through this approach, the article expands the academic discourse on task performance effectiveness in the AI era. It provides strategic insights for organizations seeking to effectively leverage AI alongside human resources .

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Entrepreneurship and Sustainability Issues

  • ISSN

    2345-0282

  • e-ISSN

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    LT - LITHUANIA

  • Number of pages

    17

  • Pages from-to

    276-292

  • UT code for WoS article

    001250847500017

  • EID of the result in the Scopus database