From overload to artificial intelligence. Mapping the determinants of technostress in modern work environments
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F25%3A43927421" target="_blank" >RIV/62156489:43110/25:43927421 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.35011/IDIMT-2025-247" target="_blank" >https://doi.org/10.35011/IDIMT-2025-247</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.35011/IDIMT-2025-247" target="_blank" >10.35011/IDIMT-2025-247</a>
Alternative languages
Result language
angličtina
Original language name
From overload to artificial intelligence. Mapping the determinants of technostress in modern work environments
Original language description
This paper explores the determinants of technostress in digitally intensive work environments, with a focus on how demographic and organizational factors influence employees' experiences of digital strain, work-life balance, and attitudes toward artificial intelligence. Based on a quantitative survey of 163 respondents across various sectors, the study employs validated scales to measure five key techno-stressors: overload, invasion, complexity, insecurity, and uncertainty. The findings reveal that age, technological proficiency, perceived workplace support, and remote work status significantly affect technostress levels and related outcomes. Notably, higher tech-savviness correlates with more favorable attitudes toward AI, while insufficient support and increased exposure to technology predict poorer work-life balance and heightened stress. Conversely, gender and education were not found to significantly influence technostress. The results underscore the importance of systemic strategies - beyond individual coping - for managing digital demands and fostering organizational resilience in the age of AI.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50101 - Psychology (including human - machine relations)
Result continuities
Project
<a href="/en/project/EH23_025%2F0008743" target="_blank" >EH23_025/0008743: Ageing of the population and related challenges for health and social systems (AGEING-CZ)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
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
IDIMT 2025 - ICT in Business: AI Everywhere? Glory and Disgrace of AI
ISBN
978-3-99151-856-3
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
247-253
Publisher name
TRAUNER Verlag + Buchservice GmbH
Place of publication
Linz
Event location
Hradec Králové
Event date
Sep 3, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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