605 employee responses at baseline and 450 at a four-week follow-up provide panel data on technostress, mental health, burnout, engagement, and safety outcomes. The dataset, authored by Umut Elbir and last updated in April 2026, likely contains survey results from five automated manufacturing plants. It was collected using a two-wave panel design to investigate the role of job resources and psychosocial safety climate.
Use Cases
- Analyzing the relationship between technostress and worker mental health based on survey measures
- Investigating the buffering effect of job resources like supervisory ICT support and digital literacy
- Modeling the influence of psychosocial safety climate at crew and organizational levels on safety behaviors
- Conducting multilevel analyses on panel data from automated manufacturing environments
Strengths
- Panel design with data from 605 employees at baseline and 450 at follow-up
- Multilevel analysis framework integrating individual and organizational factors
- Data collected across five automated manufacturing plants
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
- The dataset is very small at 5.5 KB, indicating limited scope
Provenance
- Source
- figshare
- Collection Method
- Two-wave panel survey design
- Freshness
- Last updated 2026-04-03 17:39:30
- Geography
- Five automated manufacturing plants