Technostress and Worker Well-Being in Automated Manufacturing, 605 Employees

A two-wave panel dataset from a study of 605 employees across five automated manufacturing plants. The data investigates relationships between technostress, mental health, burnout, engagement, and safety outcomes, with job resources and psychosocial safety climate as moderators. The dataset was created by Umut Elbir and last updated on April 3, 2026.

Use Cases

• Modeling the moderating effect of job resources like supervisory ICT support on technostress outcomes.
• Analyzing the relationship between psychosocial safety climate at crew and organizational levels and worker engagement.
• Investigating the link between technostress and safety behaviors in automated manufacturing environments.
• Conducting multilevel analysis of individual and group-level factors on mental health and burnout.

Strengths

• Data collected via a two-wave panel design with a four-week follow-up period.
• Includes responses from 605 employees at baseline across five distinct manufacturing plants.
• Dataset is licensed under CC-BY-4.0, allowing for open sharing and reuse.

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 suggests a limited scope, likely containing summary or correlation data rather than raw responses.

Provenance

Source

figshare, author Umut Elbir.

Collection Method

Survey data collected from employees across five automated manufacturing plants.

Time Range

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

Freshness

Last updated 2026-04-03 17:39:33; freshness should be verified.

Geography

Data sourced from five automated manufacturing plants; specific locations are not stated.