Technostress and Worker Well-Being Survey Data from Automated Manufacturing Plants

Umut Elbir's dataset, published on figshare in April 2026, contains survey measures from a two-wave panel study on technostress in manufacturing. The data was collected from 605 employees at baseline and 450 at a four-week follow-up across five automated manufacturing plants. It examines relationships between technostress, mental health, burnout, engagement, safety outcomes, and protective factors like job resources and psychosocial safety climate.

Use Cases

• Modeling the moderating effect of job resources on technostress outcomes based on supervisory ICT support, recovery opportunities, and digital literacy.
• Analyzing the predictive power of psychosocial safety climate at crew and organizational levels on engagement and safety behaviors.
• Investigating multilevel relationships between technological stressors and worker mental health in automated environments.

Strengths

• Data collected via a two-wave panel design with a four-week follow-up period.
• Includes responses from 605 employees at baseline and 450 at follow-up across five plants.
• Explicitly grounded in the Job Demands–Resources (JD-R) theoretical model.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect bias inherent to the specific five automated manufacturing plants studied.

Provenance

Source

Umut Elbir via figshare.

Collection Method

Survey data collected from employees in five automated manufacturing plants.

Time Range

Data collection involved a baseline and a four-week follow-up wave.

Freshness

Last updated 2026-04 03 17:39:29; freshness should be verified.

Geography

Data collected from automated manufacturing plants; specific geographic coverage is not stated.