Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Escala de Tecnoestresse× | Escala de Ansiedade Computacional× | |
|---|---|---|
| Área | Sistemas de informação | Sistemas de informação |
| Família | Process / pipeline | Process / pipeline |
| Ano de origem≠ | 2007 | 1987 |
| Autor original≠ | Tarafdar, Tu, Ragu-Nathan | Rosen, Sears & Weil |
| Tipo≠ | Likert-scale stress measure | Likert-scale anxiety measure |
| Fonte seminal≠ | Tarafdar, M., Tu, Q., Ragu-Nathan, B. S., & Ragu-Nathan, T. S. (2007). The impact of technostress on role stress and productivity. Journal of Management Information Systems, 24(1), 301-328. DOI ↗ | Rosen, L. D., Sears, D. C., & Weil, M. M. (1987). Computerphobia. Journal of School Psychology, 25(3), 221-232. DOI ↗ |
| Outros nomes | Techno-stress, Technology-induced stress | CARS, Computer Anxiety Rating Scale |
| Relacionados | 4 | 4 |
| Resumo≠ | The Technostress Scale, developed by Tarafdar, Tu, Ragu-Nathan, and colleagues (2007), measures the stress and negative emotions experienced by employees due to information technology use in the workplace. The scale captures five dimensions of technostress: techno-overload (excessive workload from technology demands), techno-invasion (inability to disconnect from work), techno-complexity (difficulty mastering new technology), techno-insecurity (fear of job loss due to automation), and techno-uncertainty (constant changes in technology). Technostress is linked to decreased productivity, increased burnout, and job dissatisfaction. | The Computer Anxiety Rating Scale (CARS) was developed by Rosen, Sears, and Weil in 1987 to measure the emotional distress and fear individuals experience when thinking about using computers or engaging with computer technology. CARS is a foundational instrument in understanding psychological barriers to technology adoption and has been widely applied across education, workplace training, and organizational digital transformation contexts. |
| ScholarGateConjunto de dados ↗ |
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