Crew-Level Psychosocial Safety Climate Means for Automated Manufacturing Workers

Crew-level means for Psychosocial Safety Climate (PSC) derived from a two-wave panel study of 605 employees at baseline and 450 at follow-up across five automated manufacturing plants. The dataset, created by Umut Elbir and last updated in April 2026, supports analysis of organizational factors influencing worker well-being. It was collected to investigate the role of PSC and job resources in mitigating technostress effects on mental health, burnout, engagement, and safety.

Use Cases

• Modeling the moderating effect of psychosocial safety climate on worker outcomes based on the study's multilevel framework.
• Analyzing the relationship between crew-level organizational resources and individual engagement or mental health.
• Investigating the buffering role of job resources like supervisory ICT support against technostress in manufacturing.
• Benchmarking psychosocial safety climate scores across different automated manufacturing plants.

Strengths

• Data originates from a structured two-wave panel study with 605 and 450 participants, providing temporal depth.
• Study design spans five distinct automated manufacturing plants, allowing for cross-site comparison.
• Dataset is openly licensed under CC-BY-4.0, facilitating reuse and sharing.

Limitations

• Dataset is very small at 5.5 KB, indicating limited scope and likely aggregated summary statistics rather than raw survey data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific analytical methods.

Provenance

Source

figshare, authored by Umut Elbir.

Collection Method

Data collected via a two-wave panel survey from employees in five automated manufacturing plants.

Time Range

Study involved a baseline and a four-week follow-up; specific years not provided.

Freshness

Last updated 2026-04-03 17:39:41; freshness should be verified.

Geography

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