Understanding the effects of specific techno-stressors on strain and job performance
A Meta-Analysis of the Empirical Evidence
Datos Bibliográficos
| ID | 7155753 |
|---|---|
| Autores | Qin 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) |
| Año | 2025 |
| Volumen | 38 |
| Número | 2 |
| Páginas | 787-826 |
| Fecha de publicación | 2025-03-14 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Information Technology and People (JOURNAL) |
| Identificadores de la revista | ISSN: 0959-3845 • E-ISSN: 1758-5813 |
| Editorial | Emerald (PUBLISHER) |
| DOI | 10.1108/itp-08-2022-0639 |
| OpenAlex | W4389255575 |
| Idioma | EN |
| Citas recibidas | 4 |
| Referencias citadas | 107 |
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 distintas | 4 |
|---|---|
| Citas por año | 4 |
| Intervalo de citas | 2025 - 2026 (2) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 3 |