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Understanding the effects of specific techno-stressors on strain and job performance

A Meta-Analysis of the Empirical Evidence

Dados Bibliográficos

ID7155753
AutoresQin Yuan (0000-0002-6686-080X, Southwest Jiaotong University), Jun Kong (0000-0001-7785-7561, Southwest Jiaotong University), Chun Liu (0000-0002-4855-020X, University of Electronic Science and Technology of China), Yushi Jiang (0000-0001-9769-0017, Southwest Jiaotong University)
Ano2025
Volume38
Fascículo2
Páginas787-826
Data de publicação2025-03-14
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoInformation Technology and People (JOURNAL)
Identificadores do periódicoISSN: 0959-3845 • E-ISSN: 1758-5813
EditoraEmerald (PUBLISHER)
DOI10.1108/itp-08-2022-0639
OpenAlexW4389255575
IdiomaEN
Citações recebidas4
Referências citadas107

Purpose While the phenomenon of technostress has received significant attention from researchers in recent years, empirical findings concerning the consequences of specific forms of techno-stressors have remained scattered and contradictory. The authors aim to integrate the conclusions of previous studies to understand the effects of specific techno-stressors on strain and job performance. Design/methodology/approach This study employs meta-analytic techniques to calibrate the findings of 67 studies investigating more than 63,100 employees. Findings In general, not all techno-stressors have adverse effects. In particular, techno-uncertainty does not impact job performance. In addition, relative weight analyses reveal the relative importance of techno-complexity and techno-insecurity as predictors of both strain and job performance. Finally, this study finds that the effects of specific techno-stressors on job performance vary depending on research participants' gender, educational attainment and employment status. Originality/value First, this study provides a more nuanced view of the effects of specific techno-stressors. Second, this research clarifies the relative importance of specific techno-stressors as predictors of strain and job performance. Finally, this study reveals the moderating effects of demographic variables on the relationships between specific techno-stressors and job performance

Empirical evidence · Empirical research · Job performance · Job satisfaction · Meta-analysis · Originality · Statistics · Stressor · Technostress · Applied Psychology · Clinical Psychology · COVID-19 and Mental Health · Job Satisfaction and Organizational Behavior · Mathematics · Medicine · Psychology · Social Psychology · Technostress in Professional Settings

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Obras citantes distintas4
Citações por ano4
Intervalo de citações2025 - 2026 (2)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 3
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