Technostress and Worker Well-being in Automated Manufacturing, Wave 1 (N=605)

A two-wave panel study of 605 employees across five automated manufacturing plants investigates the impact of technostress on mental health, burnout, engagement, and safety. The dataset, created by Umut Elbir and published on figshare in April 2026, likely contains survey responses measuring job resources, psychosocial safety climate, and worker outcomes. It employs a multilevel framework to analyze how contextual factors buffer the effects of technological stressors.

Use Cases

• Modeling the moderating effect of job resources like supervisory ICT support on technostress outcomes
• Analyzing the role of psychosocial safety climate at crew and organizational levels on engagement and safety behaviors
• Investigating the relationship between technostress, burnout, and mental health in manufacturing settings

Strengths

• Data collected via a two-wave panel design with 605 employees at baseline and 450 at follow-up
• Study conducted across five distinct automated manufacturing plants, suggesting some environmental diversity
• Explicitly grounded in the Job Demands–Resources (JD-R) theoretical model

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The 5.5 KB file size indicates a very small dataset, likely containing summary statistics rather than raw survey data

Provenance

Source

figshare, author Umut Elbir

Collection Method

Survey data collected from employees in automated manufacturing plants using a two-wave panel design.

Time Range

The study period includes a baseline and a four-week follow-up; specific dates are not provided.

Freshness

Last updated 2026-04-03 17:39:31; freshness should be verified

Geography

Data collected from five automated manufacturing plants; specific locations are not provided.