Survey Data on Job Satisfaction and Retention Drivers in the Australian Banana Industry

A survey of 1,202 participants across 10 urban and regional locations in Queensland, Australia, examining socio-demographic and perceptual drivers of labour dynamics. The dataset contains model fitting information from an ordinal regression analysis, exploring factors like training, ergonomics, and salary equity. It was authored by Mallika Roy and last updated on April 20, 2026.

Use Cases

• Modeling job satisfaction based on training and development, ergonomic design, and salary equity factors mentioned in the description.
• Predicting employee retention based on growth opportunities and perceived industry stability variables.
• Analyzing the interaction between physical work conditions and workforce perception biases in horticultural supply chains.

Strengths

• Survey includes 1,202 participants, providing a substantial sample size for analysis.
• Analysis includes specific regression coefficients (e.g., β=0.35 for training) with statistical significance (p<0.01).
• Data covers 10 distinct urban and regional locations, offering geographic diversity within Queensland.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (5.5 KB), indicating limited scope or summary-level data.

Provenance

Source

figshare

Collection Method

Survey data collection across 10 locations in Queensland, analyzed using ordinal regression.

Time Range

Survey period not specified; dataset updated April 2026.

Freshness

Last updated 2026-04-20 17:44:14; freshness should be verified.

Geography

Queensland, Australia (10 urban and regional locations).