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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
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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
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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
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