Evidence map›Paper›PMID 40438320›Full record

ArticlePsychology research and behavior management2025

Technostress Among Older Workers: A Central European Perspective.

Martina Rašticová, Jakub Šácha, Martin Lakomý, Pawan Kumar Mishra

Abstract read
In one paragraph

Article in Psychology research and behavior management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Martina RašticováMendel University in Brno, Faculty of Business and Economics, Department of Management, Brno, Czechia.ORCID 0000-0001-9322-0763
Jakub ŠáchaMendel University in Brno, Faculty of Business and Economics, Department of Statistics and Operational Research, Brno, Czechia.
Martin LakomýMendel University in Brno, Faculty of Business and Economics, Department of Management, Brno, Czechia.
Pawan Kumar MishraMendel University in Brno, Faculty of Business and Economics, Department of Management, Brno, Czechia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study explores the impact of two major labor market phenomena-the aging workforce and digitalization, which have global significance. The COVID-19 pandemic accelerated the adoption of digital technologies, resulting in economic growth, improved business processes, and reduced social isolation. However, the study also addresses the challenges and threats associated with digitalization, with a specific focus on technostress. The research analyses the primary techno-stressors experienced by older employees and self-employed individuals in four EU countries. Investigating various demographic factors such as gender, age, education level, employment type, and country of origin, the study aims to identify stress levels related to techno-demands and techno-disruption. Methods: This study utilized a quantitative research design with a cross-sectional survey approach. A Quota sampling method in combination with Computer Assisted Web Interviewing (CAWI) was used to collect data. The overall response rate was 42% (varied by country) in total data collected. A sample of 1306 workers (aged 50-64), representing diverse demographics, was recruited and interviewed. The techno-stressors were assessed using a 14-item scale encompassing major stress-creating conditions as already reported in earlier studies. Results: The results reveal intriguing patterns, particularly notable gender-based differences in technostress experiences across age groups. Younger male seniors and female seniors reported higher levels of techno-disruption, while techno-demands were more problematic for female seniors. Additionally, respondents' country of origin also influenced their experiences with technostress. Discussion: Overall, the study sheds light on the challenges of digitalization for older workers in central European perspective and provides important missing information and data on variation in technostress based on nationality, age, and gender. The results prompt further research on longitudinal trends and discussions on geography, industry, and country specific impact of digitalization on the modern workforce.

Indexed as

ageCentral Europegenderolder workerstechnostresstechnostressors

Identifiers

PMID40438320
PMCPMC12118575

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.