Technostress and Worker Well-being Indicators in Automated Manufacturing

605 employee survey responses at baseline and 450 at a four-week follow-up were collected by Umut Elbir across five automated manufacturing plants. The dataset contains indicator means for exploratory profiles, investigating technostress, mental health, burnout, engagement, and safety outcomes. It was last updated on 2026-04-03 and is shared under a CC-BY-4.0 license.

Use Cases

• Analyzing the relationship between technostress and worker mental health based on survey indicators
• Investigating the moderating role 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

• Data collected via a two-wave panel design with a four-week follow-up period
• Survey covers multiple automated manufacturing plants, providing a multi-site perspective
• File size is 5.5 KB, indicating a compact and likely well-structured tabular format

Limitations

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

Provenance

Source

figshare, author Umut Elbir

Collection Method

Two-wave panel survey of employees across five automated manufacturing plants

Time Range

Survey conducted at baseline and a four-week follow-up

Freshness

Last updated 2026-04-03 17:39:44; freshness should be verified

Geography

Data collected from automated manufacturing plants; specific locations not stated