Technostress and Worker Well-being in Automated Manufacturing, Two-Wave Panel Study

A two-wave panel dataset from a study of 605 employees at baseline and 450 at a four-week follow-up across five automated manufacturing plants. The data examines relationships between technostress, mental health, burnout, engagement, safety outcomes, and protective factors like job resources and psychosocial safety climate. Umut Elbir published the dataset on figshare in 2026 under a CC-BY-4.0 license.

Use Cases

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

Strengths

• Two-wave panel design with 605 baseline and 450 follow-up participants provides temporal data
• Data collected from five distinct automated manufacturing plants, suggesting some organizational diversity
• File size is 5.5 KB, indicating a compact and likely well-structured tabular format

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Description metadata is limited; actual data quality requires manual inspection after download

Provenance

Source

Umut Elbir via figshare

Collection Method

Survey data collected from employees across five automated manufacturing plants using a two-wave panel design with a four-week interval.

Time Range

The study period is not specified, but the dataset was published in 2026.

Freshness

Last updated 2026-04-03 17:39:32; freshness should be verified

Geography

Geographic coverage is not specified, but data is from automated manufacturing plants.