Technostress and Worker Outcomes in Automated Manufacturing, 450 Employees

450 employee responses from a two-wave panel study across five automated manufacturing plants, collected at a four-week follow-up. The dataset was created by Umut Elbir and investigates the influence of technostress on mental health, burnout, engagement, and safety, examining job resources and psychosocial safety climate as protective factors. It was last updated on 2026-04 03.

Use Cases

• Modeling the relationship between technostress and mental health outcomes based on the described study variables.
• Analyzing the moderating effect of job resources like supervisory ICT support on technostress based on the study framework.
• Investigating the role of psychosocial safety climate at crew and organizational levels on safety behaviors as described.
• Conducting multilevel analysis of worker outcomes in automated manufacturing environments as per the study design.

Strengths

• Data from a two-wave panel design with 450 participants at follow-up, providing temporal insights.
• Study conducted across five automated manufacturing plants, suggesting a multi-site sample.
• Dataset is small (5.5 KB), facilitating quick download and initial exploration.

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

Umut Elbir via figshare.

Collection Method

Data collected from employees in automated manufacturing plants using a two-wave panel design.

Time Range

The study involved a baseline and a four-week follow-up; specific collection dates are not provided.

Freshness

Last updated 2026-04-03 17:39:34; freshness should be verified.

Geography

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